Date: 2019-12-26 01:38:16 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 18099 rows and 453 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = 4)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 18099 453
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 | ||
|---|---|---|---|---|---|
| ATC:kmeans | 2 | 1.000 | 0.968 | 0.987 | ** |
| ATC:skmeans | 2 | 1.000 | 0.966 | 0.986 | ** |
| ATC:NMF | 2 | 0.981 | 0.952 | 0.981 | ** |
| SD:NMF | 2 | 0.927 | 0.943 | 0.975 | * |
| CV:pam | 2 | 0.922 | 0.935 | 0.970 | * |
| ATC:mclust | 2 | 0.879 | 0.927 | 0.970 | |
| SD:skmeans | 2 | 0.867 | 0.917 | 0.966 | |
| CV:skmeans | 3 | 0.857 | 0.893 | 0.954 | |
| MAD:skmeans | 2 | 0.813 | 0.901 | 0.959 | |
| ATC:pam | 5 | 0.809 | 0.795 | 0.906 | |
| MAD:NMF | 4 | 0.780 | 0.810 | 0.920 | |
| MAD:kmeans | 2 | 0.738 | 0.872 | 0.947 | |
| SD:mclust | 2 | 0.732 | 0.900 | 0.947 | |
| MAD:mclust | 2 | 0.707 | 0.906 | 0.947 | |
| CV:NMF | 3 | 0.663 | 0.795 | 0.897 | |
| MAD:pam | 3 | 0.632 | 0.800 | 0.902 | |
| CV:mclust | 3 | 0.570 | 0.690 | 0.847 | |
| ATC:hclust | 2 | 0.559 | 0.821 | 0.913 | |
| SD:pam | 3 | 0.496 | 0.753 | 0.862 | |
| CV:kmeans | 3 | 0.478 | 0.786 | 0.882 | |
| CV:hclust | 3 | 0.424 | 0.822 | 0.895 | |
| SD:kmeans | 3 | 0.386 | 0.648 | 0.771 | |
| MAD:hclust | 4 | 0.227 | 0.479 | 0.692 | |
| SD:hclust | 4 | 0.217 | 0.553 | 0.728 |
**: 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 0.927 0.943 0.975 0.351 0.638 0.638
#> CV:NMF 2 0.872 0.935 0.971 0.387 0.625 0.625
#> MAD:NMF 2 0.850 0.912 0.963 0.387 0.618 0.618
#> ATC:NMF 2 0.981 0.952 0.981 0.393 0.612 0.612
#> SD:skmeans 2 0.867 0.917 0.966 0.491 0.509 0.509
#> CV:skmeans 2 0.757 0.891 0.953 0.479 0.521 0.521
#> MAD:skmeans 2 0.813 0.901 0.959 0.496 0.507 0.507
#> ATC:skmeans 2 1.000 0.966 0.986 0.484 0.515 0.515
#> SD:mclust 2 0.732 0.900 0.947 0.366 0.612 0.612
#> CV:mclust 2 0.338 0.615 0.830 0.455 0.588 0.588
#> MAD:mclust 2 0.707 0.906 0.947 0.361 0.625 0.625
#> ATC:mclust 2 0.879 0.927 0.970 0.452 0.549 0.549
#> SD:kmeans 2 0.893 0.930 0.970 0.396 0.620 0.620
#> CV:kmeans 2 0.487 0.902 0.919 0.317 0.686 0.686
#> MAD:kmeans 2 0.738 0.872 0.947 0.430 0.575 0.575
#> ATC:kmeans 2 1.000 0.968 0.987 0.411 0.588 0.588
#> SD:pam 2 0.874 0.933 0.967 0.375 0.634 0.634
#> CV:pam 2 0.922 0.935 0.970 0.272 0.706 0.706
#> MAD:pam 2 0.547 0.738 0.881 0.456 0.500 0.500
#> ATC:pam 2 0.460 0.751 0.865 0.403 0.645 0.645
#> SD:hclust 2 0.463 0.853 0.902 0.243 0.850 0.850
#> CV:hclust 2 0.606 0.903 0.940 0.203 0.861 0.861
#> MAD:hclust 2 0.435 0.831 0.889 0.254 0.853 0.853
#> ATC:hclust 2 0.559 0.821 0.913 0.379 0.606 0.606
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.547 0.706 0.864 0.727 0.704 0.559
#> CV:NMF 3 0.663 0.795 0.897 0.649 0.656 0.483
#> MAD:NMF 3 0.444 0.625 0.787 0.591 0.728 0.578
#> ATC:NMF 3 0.754 0.862 0.933 0.601 0.706 0.540
#> SD:skmeans 3 0.674 0.806 0.873 0.344 0.765 0.566
#> CV:skmeans 3 0.857 0.893 0.954 0.368 0.744 0.543
#> MAD:skmeans 3 0.585 0.746 0.833 0.317 0.767 0.569
#> ATC:skmeans 3 0.846 0.913 0.958 0.319 0.770 0.582
#> SD:mclust 3 0.467 0.739 0.866 0.235 0.886 0.828
#> CV:mclust 3 0.570 0.690 0.847 0.393 0.669 0.476
#> MAD:mclust 3 0.473 0.775 0.877 0.226 0.910 0.865
#> ATC:mclust 3 0.666 0.713 0.868 0.029 0.872 0.789
#> SD:kmeans 3 0.386 0.648 0.771 0.514 0.657 0.492
#> CV:kmeans 3 0.478 0.786 0.882 0.646 0.773 0.673
#> MAD:kmeans 3 0.514 0.748 0.853 0.412 0.641 0.454
#> ATC:kmeans 3 0.618 0.751 0.885 0.438 0.753 0.607
#> SD:pam 3 0.496 0.753 0.862 0.440 0.663 0.521
#> CV:pam 3 0.342 0.529 0.766 0.905 0.765 0.681
#> MAD:pam 3 0.632 0.800 0.902 0.267 0.910 0.824
#> ATC:pam 3 0.617 0.691 0.884 0.489 0.625 0.470
#> SD:hclust 3 0.159 0.546 0.698 0.828 0.749 0.710
#> CV:hclust 3 0.424 0.822 0.895 0.663 0.875 0.855
#> MAD:hclust 3 0.149 0.475 0.669 0.974 0.586 0.519
#> ATC:hclust 3 0.420 0.690 0.842 0.276 0.938 0.899
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.751 0.813 0.909 0.194 0.750 0.464
#> CV:NMF 4 0.664 0.656 0.851 0.157 0.760 0.443
#> MAD:NMF 4 0.780 0.810 0.920 0.167 0.784 0.518
#> ATC:NMF 4 0.670 0.723 0.870 0.123 0.719 0.399
#> SD:skmeans 4 0.691 0.658 0.856 0.121 0.859 0.617
#> CV:skmeans 4 0.750 0.786 0.899 0.121 0.874 0.658
#> MAD:skmeans 4 0.798 0.790 0.908 0.128 0.877 0.663
#> ATC:skmeans 4 0.891 0.887 0.950 0.136 0.854 0.623
#> SD:mclust 4 0.296 0.487 0.681 0.305 0.628 0.447
#> CV:mclust 4 0.507 0.555 0.718 0.128 0.842 0.586
#> MAD:mclust 4 0.310 0.499 0.719 0.378 0.635 0.459
#> ATC:mclust 4 0.645 0.804 0.872 0.192 0.857 0.755
#> SD:kmeans 4 0.470 0.494 0.719 0.156 0.778 0.512
#> CV:kmeans 4 0.530 0.652 0.818 0.230 0.806 0.615
#> MAD:kmeans 4 0.466 0.464 0.687 0.147 0.782 0.532
#> ATC:kmeans 4 0.613 0.693 0.833 0.156 0.778 0.545
#> SD:pam 4 0.516 0.599 0.804 0.133 0.821 0.642
#> CV:pam 4 0.358 0.235 0.681 0.101 0.640 0.471
#> MAD:pam 4 0.499 0.412 0.800 0.107 0.989 0.976
#> ATC:pam 4 0.616 0.729 0.878 0.115 0.819 0.595
#> SD:hclust 4 0.217 0.553 0.728 0.317 0.705 0.561
#> CV:hclust 4 0.365 0.535 0.764 0.468 0.808 0.740
#> MAD:hclust 4 0.227 0.479 0.692 0.191 0.873 0.733
#> ATC:hclust 4 0.373 0.271 0.591 0.256 0.729 0.547
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.672 0.580 0.790 0.0931 0.860 0.547
#> CV:NMF 5 0.659 0.537 0.778 0.0686 0.852 0.513
#> MAD:NMF 5 0.620 0.548 0.773 0.1024 0.856 0.541
#> ATC:NMF 5 0.575 0.568 0.769 0.0795 0.914 0.725
#> SD:skmeans 5 0.799 0.752 0.883 0.0710 0.857 0.526
#> CV:skmeans 5 0.738 0.669 0.837 0.0604 0.929 0.752
#> MAD:skmeans 5 0.780 0.800 0.882 0.0743 0.875 0.582
#> ATC:skmeans 5 0.872 0.851 0.938 0.0815 0.885 0.619
#> SD:mclust 5 0.395 0.421 0.689 0.1200 0.703 0.423
#> CV:mclust 5 0.462 0.490 0.679 0.0429 0.824 0.474
#> MAD:mclust 5 0.384 0.562 0.719 0.0974 0.874 0.686
#> ATC:mclust 5 0.560 0.757 0.823 0.1968 0.807 0.614
#> SD:kmeans 5 0.552 0.513 0.670 0.0894 0.829 0.522
#> CV:kmeans 5 0.536 0.631 0.799 0.1036 0.917 0.768
#> MAD:kmeans 5 0.555 0.420 0.568 0.0947 0.733 0.353
#> ATC:kmeans 5 0.865 0.849 0.926 0.1157 0.816 0.511
#> SD:pam 5 0.493 0.466 0.740 0.1185 0.870 0.695
#> CV:pam 5 0.417 0.528 0.714 0.1973 0.616 0.330
#> MAD:pam 5 0.511 0.503 0.719 0.1013 0.796 0.549
#> ATC:pam 5 0.809 0.795 0.906 0.1100 0.806 0.494
#> SD:hclust 5 0.265 0.535 0.702 0.1344 0.912 0.794
#> CV:hclust 5 0.413 0.686 0.810 0.1596 0.819 0.682
#> MAD:hclust 5 0.304 0.287 0.594 0.1163 0.941 0.843
#> ATC:hclust 5 0.473 0.624 0.788 0.1755 0.730 0.414
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.764 0.649 0.825 0.0397 0.908 0.607
#> CV:NMF 6 0.766 0.651 0.824 0.0338 0.900 0.586
#> MAD:NMF 6 0.666 0.589 0.765 0.0451 0.889 0.539
#> ATC:NMF 6 0.566 0.510 0.721 0.0528 0.885 0.598
#> SD:skmeans 6 0.744 0.624 0.786 0.0399 0.939 0.727
#> CV:skmeans 6 0.771 0.714 0.858 0.0451 0.888 0.573
#> MAD:skmeans 6 0.770 0.697 0.845 0.0463 0.905 0.600
#> ATC:skmeans 6 0.774 0.691 0.840 0.0401 0.951 0.786
#> SD:mclust 6 0.490 0.579 0.745 0.1139 0.740 0.415
#> CV:mclust 6 0.542 0.547 0.706 0.0493 0.950 0.810
#> MAD:mclust 6 0.593 0.640 0.817 0.1054 0.836 0.553
#> ATC:mclust 6 0.655 0.699 0.803 0.1199 0.952 0.857
#> SD:kmeans 6 0.649 0.720 0.795 0.0543 0.829 0.433
#> CV:kmeans 6 0.551 0.503 0.683 0.0700 0.881 0.638
#> MAD:kmeans 6 0.676 0.706 0.803 0.0582 0.910 0.641
#> ATC:kmeans 6 0.822 0.821 0.901 0.0628 0.886 0.577
#> SD:pam 6 0.506 0.514 0.713 0.0706 0.868 0.648
#> CV:pam 6 0.465 0.606 0.733 0.0736 0.892 0.668
#> MAD:pam 6 0.589 0.640 0.797 0.0667 0.881 0.631
#> ATC:pam 6 0.733 0.653 0.851 0.0515 0.934 0.757
#> SD:hclust 6 0.354 0.461 0.682 0.0653 0.930 0.808
#> CV:hclust 6 0.436 0.656 0.812 0.0776 0.977 0.946
#> MAD:hclust 6 0.364 0.492 0.639 0.0831 0.774 0.422
#> ATC:hclust 6 0.517 0.588 0.746 0.0462 0.976 0.917
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 18099 rows and 453 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 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 0.463 0.853 0.902 0.2427 0.850 0.850
#> 3 3 0.159 0.546 0.698 0.8282 0.749 0.710
#> 4 4 0.217 0.553 0.728 0.3173 0.705 0.561
#> 5 5 0.265 0.535 0.702 0.1344 0.912 0.794
#> 6 6 0.354 0.461 0.682 0.0653 0.930 0.808
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0672 0.903317 0.992 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1184 0.903960 0.984 0.016
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1184 0.905844 0.984 0.016
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0672 0.901105 0.992 0.008
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.1414 0.905021 0.980 0.020
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0672 0.901105 0.992 0.008
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1633 0.908305 0.976 0.024
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0938 0.906144 0.988 0.012
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1184 0.907132 0.984 0.016
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.4690 0.891819 0.900 0.100
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.5059 0.885923 0.888 0.112
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.5946 0.845786 0.856 0.144
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0672 0.901105 0.992 0.008
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4022 0.876978 0.080 0.920
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0672 0.901105 0.992 0.008
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2423 0.907929 0.960 0.040
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0672 0.901105 0.992 0.008
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0672 0.901105 0.992 0.008
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.9754 0.495375 0.592 0.408
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6343 0.858705 0.840 0.160
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0672 0.901105 0.992 0.008
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#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.3879 0.900259 0.924 0.076
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0672 0.903719 0.992 0.008
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.3114 0.904990 0.944 0.056
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0672 0.901105 0.992 0.008
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.5059 0.885923 0.888 0.112
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.6247 0.858835 0.844 0.156
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.6247 0.858835 0.844 0.156
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0672 0.901105 0.992 0.008
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.4815 0.890786 0.896 0.104
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.2236 0.908000 0.964 0.036
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0672 0.901105 0.992 0.008
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0672 0.901105 0.992 0.008
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0672 0.903317 0.992 0.008
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4939 0.889304 0.892 0.108
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.2423 0.907816 0.960 0.040
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1184 0.906500 0.984 0.016
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.4562 0.893693 0.904 0.096
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.5737 0.875009 0.864 0.136
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.1414 0.905591 0.980 0.020
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.2236 0.908112 0.964 0.036
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 1 0.9170 0.648643 0.668 0.332
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2236 0.907672 0.964 0.036
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.1184 0.903853 0.984 0.016
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.5294 0.883199 0.880 0.120
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.9460 0.588004 0.636 0.364
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3114 0.905313 0.944 0.056
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0672 0.901105 0.992 0.008
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0672 0.901105 0.992 0.008
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.1414 0.903800 0.980 0.020
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.9087 0.665385 0.676 0.324
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.6343 0.857629 0.840 0.160
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1633 0.907633 0.976 0.024
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.6148 0.861422 0.848 0.152
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.9248 0.627450 0.660 0.340
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.3114 0.905313 0.944 0.056
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0672 0.901105 0.992 0.008
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0672 0.901105 0.992 0.008
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.5408 0.881206 0.876 0.124
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0672 0.901105 0.992 0.008
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0672 0.901105 0.992 0.008
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.3114 0.905092 0.944 0.056
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.2603 0.907653 0.956 0.044
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.8207 0.769107 0.744 0.256
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3584 0.902332 0.932 0.068
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0672 0.901105 0.992 0.008
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.2236 0.900411 0.964 0.036
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.7139 0.827153 0.804 0.196
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.1184 0.906843 0.984 0.016
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.9661 0.534282 0.608 0.392
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.2778 0.906843 0.952 0.048
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3114 0.905542 0.944 0.056
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.5294 0.879675 0.880 0.120
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.7528 0.806618 0.784 0.216
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0938 0.914379 0.012 0.988
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0938 0.906144 0.988 0.012
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.6531 0.850899 0.832 0.168
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1633 0.907621 0.976 0.024
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.3114 0.905237 0.944 0.056
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.6247 0.858835 0.844 0.156
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3879 0.901016 0.924 0.076
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1843 0.908134 0.972 0.028
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.5294 0.883602 0.880 0.120
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0672 0.901105 0.992 0.008
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.2236 0.908000 0.964 0.036
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.3431 0.903192 0.936 0.064
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0672 0.901105 0.992 0.008
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.327 0.5995 0.884 0.000 0.116
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.346 0.7010 0.904 0.060 0.036
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.304 0.6994 0.920 0.040 0.040
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.348 0.5890 0.872 0.000 0.128
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.878 0.8002 0.388 0.116 0.496
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.357 0.6038 0.876 0.004 0.120
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.417 0.7124 0.876 0.076 0.048
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.415 0.6807 0.876 0.044 0.080
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.423 0.6778 0.872 0.044 0.084
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.536 0.7062 0.784 0.196 0.020
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.558 0.6642 0.748 0.240 0.012
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.928 -0.0127 0.520 0.276 0.204
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.767 0.8856 0.408 0.048 0.544
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.590 0.3255 0.024 0.744 0.232
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.441 0.6306 0.860 0.036 0.104
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.397 0.7198 0.880 0.088 0.032
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.766 0.8819 0.404 0.048 0.548
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.766 0.8819 0.404 0.048 0.548
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.686 0.3450 0.356 0.620 0.024
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.653 0.5605 0.660 0.320 0.020
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.409 0.6927 0.880 0.052 0.068
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.668 0.6358 0.708 0.244 0.048
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.580 0.6751 0.736 0.248 0.016
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.341 0.5945 0.876 0.000 0.124
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.409 0.6927 0.880 0.052 0.068
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.657 0.3171 0.376 0.612 0.012
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.564 0.4757 0.784 0.036 0.180
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.601 0.6828 0.764 0.192 0.044
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.522 0.7152 0.816 0.144 0.040
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.414 0.7227 0.872 0.096 0.032
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.295 0.6745 0.920 0.020 0.060
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.277 0.7069 0.928 0.048 0.024
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.642 0.4756 0.616 0.376 0.008
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.348 0.5875 0.872 0.000 0.128
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.608 0.2903 0.388 0.612 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.663 0.3399 0.360 0.624 0.016
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.797 0.8964 0.436 0.060 0.504
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.785 0.5755 0.644 0.256 0.100
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.684 0.3744 0.332 0.640 0.028
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.527 0.6950 0.776 0.212 0.012
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.603 0.2770 0.000 0.624 0.376
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.377 0.6424 0.880 0.016 0.104
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.660 0.3067 0.384 0.604 0.012
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.603 0.2770 0.000 0.624 0.376
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.337 0.6963 0.908 0.040 0.052
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.426 0.7218 0.848 0.140 0.012
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.389 0.6771 0.888 0.048 0.064
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.785 0.5755 0.644 0.256 0.100
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.368 0.7206 0.892 0.080 0.028
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.493 0.7086 0.820 0.156 0.024
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.412 0.7203 0.876 0.084 0.040
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.603 0.2770 0.000 0.624 0.376
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.336 0.6498 0.900 0.016 0.084
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.625 0.6114 0.684 0.300 0.016
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.434 0.7155 0.848 0.136 0.016
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.785 0.5788 0.644 0.256 0.100
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.654 0.2298 0.408 0.584 0.008
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.441 0.7133 0.844 0.140 0.016
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.627 0.2861 0.548 0.452 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.380 0.7127 0.888 0.080 0.032
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.462 0.7175 0.836 0.144 0.020
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.603 0.2770 0.000 0.624 0.376
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.331 0.6736 0.908 0.028 0.064
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.688 0.5020 0.616 0.360 0.024
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.954 0.2452 0.488 0.256 0.256
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.429 0.7171 0.864 0.104 0.032
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.645 0.5575 0.656 0.328 0.016
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.699 0.3477 0.556 0.424 0.020
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.603 0.2770 0.000 0.624 0.376
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.532 0.6825 0.824 0.072 0.104
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.928 -0.0127 0.520 0.276 0.204
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.759 -0.0715 0.476 0.484 0.040
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.903 0.5746 0.260 0.188 0.552
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.596 0.7077 0.788 0.136 0.076
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.471 0.7075 0.852 0.092 0.056
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.652 0.1542 0.512 0.484 0.004
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.613 0.2684 0.400 0.600 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.603 0.6451 0.712 0.272 0.016
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.551 0.7107 0.800 0.156 0.044
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.603 0.2770 0.000 0.624 0.376
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.474 0.6927 0.848 0.104 0.048
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.414 0.7227 0.872 0.096 0.032
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.782 0.5821 0.648 0.252 0.100
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.327 0.7027 0.912 0.044 0.044
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.327 0.5995 0.884 0.000 0.116
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.797 0.8964 0.436 0.060 0.504
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.290 0.7101 0.924 0.048 0.028
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.336 0.7141 0.900 0.084 0.016
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.766 0.8819 0.404 0.048 0.548
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.603 0.3295 0.752 0.036 0.212
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.954 0.2452 0.488 0.256 0.256
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.461 0.7178 0.856 0.092 0.052
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.319 0.6259 0.896 0.004 0.100
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.341 0.5926 0.876 0.000 0.124
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.444 0.7062 0.864 0.084 0.052
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.399 0.7022 0.884 0.064 0.052
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.348 0.5890 0.872 0.000 0.128
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.334 0.5973 0.880 0.000 0.120
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.580 0.3262 0.016 0.736 0.248
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.603 0.2770 0.000 0.624 0.376
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.599 0.3230 0.016 0.716 0.268
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.623 0.1571 0.436 0.564 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.509 0.6945 0.836 0.076 0.088
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.633 0.6266 0.688 0.292 0.020
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.499 0.7161 0.824 0.144 0.032
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.710 0.3493 0.556 0.420 0.024
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.626 0.6208 0.696 0.284 0.020
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.642 0.3180 0.376 0.616 0.008
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.368 0.7079 0.896 0.060 0.044
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.392 0.6285 0.872 0.016 0.112
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#> E5157C9F-B1C0-40CD-AA6E-13E82EDB987A 1 0.341 0.5926 0.876 0.000 0.124
#> AA4D9A22-A8FA-4C41-8B73-D337656CB35B 1 0.447 0.7040 0.864 0.076 0.060
#> E8AC87A0-AB40-496F-8C38-C067ECEC5057 2 0.603 0.2770 0.000 0.624 0.376
#> A713AE2F-4D92-41B2-997A-EDA192242ABF 1 0.388 0.7190 0.888 0.068 0.044
#> 3C25C3FD-380E-4DEE-943B-B58690DB65FD 1 0.401 0.6622 0.876 0.028 0.096
#> 026F6BFF-4E29-47EF-9C88-63E1E1DD29E9 2 0.707 -0.0830 0.484 0.496 0.020
#> 91988595-BAA0-447E-B85E-D19B435C2360 1 0.324 0.7098 0.912 0.056 0.032
#> E25D9A9E-B58C-4518-9B2C-A475B12AE161 1 0.348 0.5892 0.872 0.000 0.128
#> 9CBD937D-72F2-4F05-A670-9D231FEAB3EC 2 0.645 0.3194 0.032 0.704 0.264
#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.341 0.5926 0.876 0.000 0.124
#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.632 0.6812 0.772 0.112 0.116
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.604 0.3004 0.380 0.620 0.000
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.573 0.5637 0.676 0.324 0.000
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.321 0.6424 0.900 0.008 0.092
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 2 0.759 -0.0715 0.476 0.484 0.040
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.553 0.5038 0.792 0.036 0.172
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 1 0.475 0.7126 0.844 0.116 0.040
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.406 0.6012 0.860 0.012 0.128
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.452 0.6413 0.852 0.032 0.116
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.338 0.6519 0.896 0.012 0.092
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.328 0.7148 0.908 0.068 0.024
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.851 0.8642 0.432 0.092 0.476
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.766 0.8819 0.404 0.048 0.548
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.437 0.6418 0.864 0.040 0.096
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.961 0.3093 0.244 0.284 0.472
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.575 0.6073 0.700 0.296 0.004
#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.630 0.2937 0.388 0.608 0.004
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.767 0.8856 0.408 0.048 0.544
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.695 0.3935 0.572 0.408 0.020
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.851 0.8642 0.432 0.092 0.476
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.580 0.3262 0.016 0.736 0.248
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.596 0.3238 0.016 0.720 0.264
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 1 0.707 0.1517 0.512 0.468 0.020
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.679 0.3817 0.324 0.648 0.028
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.651 0.2712 0.400 0.592 0.008
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.348 0.7028 0.904 0.052 0.044
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.774 0.5264 0.632 0.288 0.080
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.699 0.3477 0.556 0.424 0.020
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.389 0.7110 0.888 0.064 0.048
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.794 0.5873 0.652 0.224 0.124
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.588 0.3254 0.016 0.728 0.256
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.867 0.5021 0.584 0.264 0.152
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.576 0.6413 0.716 0.276 0.008
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.334 0.7099 0.908 0.060 0.032
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.392 0.6285 0.872 0.016 0.112
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.475 0.7126 0.844 0.116 0.040
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.954 0.2452 0.488 0.256 0.256
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.509 0.6203 0.832 0.056 0.112
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.621 0.1728 0.428 0.572 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.437 0.6478 0.860 0.032 0.108
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.780 0.5165 0.624 0.296 0.080
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.279 0.6950 0.928 0.028 0.044
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.954 0.2452 0.488 0.256 0.256
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.706 0.1609 0.516 0.464 0.020
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.478 0.6353 0.840 0.036 0.124
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.568 0.6840 0.748 0.236 0.016
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.647 0.1243 0.444 0.552 0.004
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.529 0.6533 0.824 0.064 0.112
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.647 0.5892 0.668 0.312 0.020
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.779 0.5352 0.632 0.284 0.084
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.341 0.5926 0.876 0.000 0.124
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.327 0.5995 0.884 0.000 0.116
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.603 0.2770 0.000 0.624 0.376
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.348 0.5911 0.872 0.000 0.128
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.515 0.7079 0.800 0.180 0.020
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.434 0.7083 0.868 0.084 0.048
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.492 0.7099 0.816 0.164 0.020
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.304 0.6993 0.920 0.036 0.044
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.425 0.7217 0.864 0.108 0.028
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.315 0.7020 0.916 0.040 0.044
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.327 0.7130 0.904 0.080 0.016
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.851 0.8642 0.432 0.092 0.476
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.610 0.6386 0.704 0.280 0.016
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.647 0.4485 0.604 0.388 0.008
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.650 0.3684 0.336 0.648 0.016
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.778 0.5887 0.652 0.248 0.100
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.355 0.5850 0.868 0.000 0.132
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.454 0.7141 0.860 0.084 0.056
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.348 0.5890 0.872 0.000 0.128
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.549 0.6701 0.756 0.232 0.012
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.653 0.3181 0.092 0.756 0.152
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.498 0.7179 0.828 0.136 0.036
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.662 0.3014 0.388 0.600 0.012
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.588 0.6536 0.728 0.256 0.016
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.305 0.6752 0.916 0.020 0.064
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.778 0.5887 0.652 0.248 0.100
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.353 0.6355 0.884 0.008 0.108
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.699 0.3477 0.556 0.424 0.020
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.954 0.2452 0.488 0.256 0.256
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.784 0.5019 0.624 0.292 0.084
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.630 -0.0551 0.484 0.516 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.475 0.7078 0.816 0.172 0.012
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 1 0.707 0.1335 0.508 0.472 0.020
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.782 0.5267 0.628 0.288 0.084
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.348 0.7120 0.904 0.052 0.044
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.361 0.6317 0.880 0.008 0.112
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.341 0.5927 0.876 0.000 0.124
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.603 0.2770 0.000 0.624 0.376
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.555 0.6839 0.768 0.212 0.020
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.369 0.6887 0.896 0.052 0.052
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.549 0.6814 0.756 0.232 0.012
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.326 0.6958 0.912 0.048 0.040
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.558 0.6642 0.748 0.240 0.012
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.954 0.2452 0.488 0.256 0.256
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.954 0.2452 0.488 0.256 0.256
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.341 0.5922 0.876 0.000 0.124
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.662 0.6749 0.720 0.228 0.052
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.437 0.7044 0.868 0.076 0.056
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.361 0.6414 0.888 0.016 0.096
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.334 0.6057 0.880 0.000 0.120
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.312 0.6111 0.892 0.000 0.108
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.592 0.6493 0.724 0.260 0.016
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.493 0.7169 0.828 0.140 0.032
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.406 0.6938 0.880 0.044 0.076
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.585 0.6945 0.780 0.172 0.048
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.778 0.5884 0.652 0.248 0.100
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.368 0.6689 0.892 0.028 0.080
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.540 0.7086 0.792 0.180 0.028
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.620 0.1877 0.424 0.576 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.509 0.6945 0.836 0.076 0.088
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.797 0.8964 0.436 0.060 0.504
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.605 0.6239 0.696 0.292 0.012
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.633 0.2812 0.396 0.600 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.481 0.7174 0.832 0.140 0.028
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.597 0.3264 0.752 0.032 0.216
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.348 0.5890 0.872 0.000 0.128
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.456 0.6557 0.852 0.036 0.112
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.686 0.1752 0.420 0.564 0.016
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.782 0.5267 0.628 0.288 0.084
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.348 0.7028 0.904 0.052 0.044
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.661 0.5164 0.628 0.356 0.016
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.641 0.2127 0.420 0.576 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.500 0.7145 0.820 0.152 0.028
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.341 0.5926 0.876 0.000 0.124
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.348 0.5875 0.872 0.000 0.128
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.633 0.6266 0.688 0.292 0.020
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.341 0.5926 0.876 0.000 0.124
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.397 0.6746 0.884 0.044 0.072
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.536 0.7046 0.820 0.116 0.064
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.518 0.7094 0.808 0.164 0.028
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.830 0.1967 0.504 0.416 0.080
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.546 0.6934 0.776 0.204 0.020
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.341 0.5926 0.876 0.000 0.124
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.851 0.8642 0.432 0.092 0.476
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.760 0.3970 0.568 0.384 0.048
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.341 0.6834 0.904 0.028 0.068
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.617 0.3339 0.360 0.636 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.475 0.7126 0.844 0.116 0.040
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.504 0.7140 0.808 0.172 0.020
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.655 0.5678 0.656 0.324 0.020
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.670 0.3663 0.576 0.412 0.012
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.601 0.2784 0.000 0.628 0.372
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.327 0.7027 0.912 0.044 0.044
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.610 0.5254 0.648 0.348 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.447 0.6981 0.864 0.060 0.076
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.527 0.6950 0.776 0.212 0.012
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.954 0.2452 0.488 0.256 0.256
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.560 0.6913 0.756 0.228 0.016
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.399 0.7237 0.864 0.124 0.012
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.609 0.6605 0.716 0.264 0.020
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.362 0.5791 0.864 0.000 0.136
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.447 0.7025 0.864 0.076 0.060
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.578 0.6969 0.768 0.200 0.032
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.435 0.6025 0.852 0.020 0.128
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1284 0.63229 0.964 0.012 0.024 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4934 0.63207 0.720 0.252 0.028 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4192 0.70630 0.812 0.156 0.028 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1356 0.62194 0.960 0.008 0.032 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.6090 0.67538 0.292 0.044 0.648 0.016
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1398 0.63043 0.956 0.004 0.040 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.5074 0.67702 0.724 0.236 0.040 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3916 0.68182 0.848 0.092 0.056 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4301 0.69039 0.816 0.120 0.064 0.000
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#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.2499 0.63709 0.044 0.920 0.004 0.032
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.2542 0.63506 0.904 0.012 0.084 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.7860 0.11701 0.372 0.272 0.356 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.3994 0.70399 0.828 0.140 0.028 0.004
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.6608 0.48632 0.332 0.056 0.592 0.020
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.4943 0.65508 0.164 0.780 0.016 0.040
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.4171 0.65245 0.828 0.088 0.084 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 2 0.6315 0.06510 0.432 0.508 0.060 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.2652 0.64006 0.056 0.912 0.004 0.028
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.5920 0.62947 0.708 0.168 0.120 0.004
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 2 0.6564 0.23556 0.380 0.536 0.084 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.7756 0.19084 0.400 0.236 0.364 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.1305 0.62191 0.960 0.004 0.036 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.1174 0.63328 0.968 0.012 0.020 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 4 0.1022 0.89170 0.000 0.032 0.000 0.968
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1677 0.62114 0.948 0.012 0.040 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.6061 0.37415 0.552 0.400 0.048 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.5708 0.65457 0.708 0.212 0.076 0.004
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.6501 0.50212 0.588 0.316 0.096 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.4221 0.69860 0.824 0.132 0.036 0.008
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.5446 0.61471 0.680 0.276 0.044 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.4287 0.70995 0.808 0.156 0.032 0.004
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.5130 0.55623 0.652 0.332 0.016 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.7460 0.69246 0.376 0.100 0.500 0.024
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 2 0.6435 0.18837 0.396 0.532 0.072 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.4973 0.53751 0.292 0.692 0.012 0.004
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.2944 0.52128 0.000 0.868 0.004 0.128
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.6798 0.25012 0.504 0.100 0.396 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1545 0.61700 0.952 0.008 0.040 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.5102 0.69627 0.748 0.188 0.064 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1452 0.62115 0.956 0.008 0.036 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 2 0.5851 0.03897 0.456 0.516 0.024 0.004
#> 3F79FC21-B181-42FE-914B-CC298BD72343 4 0.5183 0.54893 0.000 0.408 0.008 0.584
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.6495 0.58562 0.624 0.252 0.124 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.2522 0.58480 0.016 0.908 0.000 0.076
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 2 0.5712 0.29381 0.384 0.584 0.032 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.3958 0.69799 0.836 0.112 0.052 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.6798 0.25012 0.504 0.100 0.396 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.3820 0.67662 0.848 0.088 0.064 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.4874 0.63864 0.172 0.776 0.044 0.008
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.6608 0.48632 0.332 0.056 0.592 0.020
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.7858 0.09733 0.440 0.148 0.392 0.020
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.3932 0.66144 0.128 0.836 0.004 0.032
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.6494 0.46657 0.572 0.340 0.088 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.5108 0.65213 0.164 0.772 0.016 0.048
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.7818 0.15889 0.388 0.256 0.356 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.4989 0.70432 0.764 0.164 0.072 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3754 0.67381 0.852 0.084 0.064 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1356 0.62796 0.960 0.008 0.032 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 4 0.1022 0.89170 0.000 0.032 0.000 0.968
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 2 0.6224 0.09552 0.436 0.516 0.044 0.004
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5056 0.65111 0.732 0.224 0.044 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.6629 0.09232 0.472 0.460 0.060 0.008
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4711 0.64677 0.740 0.236 0.024 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.5756 0.08730 0.452 0.524 0.020 0.004
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.6608 0.48632 0.332 0.056 0.592 0.020
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.6608 0.48632 0.332 0.056 0.592 0.020
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1305 0.62198 0.960 0.004 0.036 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.6426 0.29526 0.536 0.392 0.072 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.5213 0.68242 0.756 0.168 0.072 0.004
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2761 0.66850 0.904 0.048 0.048 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1724 0.63886 0.948 0.020 0.032 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1816 0.64142 0.948 0.024 0.024 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 2 0.5699 0.30635 0.380 0.588 0.032 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.6495 0.58516 0.624 0.252 0.124 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.4227 0.69538 0.820 0.120 0.060 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.7210 0.45537 0.552 0.316 0.120 0.012
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.6889 0.25606 0.496 0.108 0.396 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.3547 0.68262 0.864 0.072 0.064 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.6741 0.58130 0.620 0.236 0.140 0.004
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.2505 0.63495 0.040 0.920 0.004 0.036
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3803 0.61947 0.836 0.032 0.132 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.6410 0.72476 0.388 0.040 0.556 0.016
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.5847 0.20216 0.404 0.560 0.036 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.2222 0.59380 0.016 0.924 0.000 0.060
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.5997 0.51270 0.604 0.348 0.044 0.004
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.6303 0.44162 0.660 0.148 0.192 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1452 0.62115 0.956 0.008 0.036 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3215 0.65298 0.876 0.032 0.092 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.3136 0.63029 0.032 0.900 0.036 0.032
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.7818 0.15889 0.388 0.256 0.356 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4775 0.69689 0.788 0.156 0.048 0.008
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.6424 0.42391 0.320 0.604 0.068 0.008
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.2499 0.61981 0.032 0.920 0.004 0.044
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.6116 0.48149 0.588 0.360 0.048 0.004
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1356 0.62463 0.960 0.008 0.032 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1151 0.62689 0.968 0.008 0.024 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 2 0.5957 0.14794 0.420 0.540 0.040 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0895 0.62588 0.976 0.004 0.020 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4839 0.67035 0.756 0.200 0.044 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.6408 0.61640 0.660 0.224 0.108 0.008
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.6448 0.50836 0.592 0.316 0.092 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.7794 0.19216 0.144 0.468 0.368 0.020
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.6284 0.29309 0.520 0.428 0.048 0.004
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1004 0.62628 0.972 0.004 0.024 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.7460 0.69246 0.376 0.100 0.500 0.024
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.6714 0.56347 0.232 0.632 0.128 0.008
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4127 0.70399 0.824 0.124 0.052 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.2149 0.54906 0.000 0.912 0.000 0.088
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.6283 0.60301 0.644 0.264 0.088 0.004
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.5865 0.33543 0.552 0.412 0.036 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.6611 0.31868 0.356 0.560 0.080 0.004
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.5261 0.59254 0.248 0.716 0.020 0.016
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 4 0.1118 0.89203 0.000 0.036 0.000 0.964
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4395 0.69719 0.816 0.132 0.044 0.008
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.4663 0.56121 0.272 0.716 0.012 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.5116 0.67717 0.764 0.128 0.108 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.6077 0.16080 0.496 0.460 0.044 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6608 0.48632 0.332 0.056 0.592 0.020
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.6332 0.20720 0.488 0.452 0.060 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.5773 0.53982 0.620 0.336 0.044 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.5859 -0.01552 0.472 0.496 0.032 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1489 0.60943 0.952 0.004 0.044 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5380 0.67149 0.740 0.184 0.072 0.004
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.7003 0.35360 0.508 0.368 0.124 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4354 0.63821 0.824 0.084 0.088 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1799 0.61065 0.940 0.000 0.028 0.020 0.012
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.6667 0.55578 0.600 0.000 0.088 0.092 0.220
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4491 0.65438 0.784 0.000 0.028 0.060 0.128
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2053 0.61023 0.924 0.000 0.048 0.024 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3727 0.69704 0.068 0.000 0.824 0.104 0.004
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.2381 0.60586 0.908 0.000 0.036 0.052 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6021 0.62537 0.648 0.000 0.044 0.092 0.216
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3860 0.63434 0.832 0.000 0.024 0.068 0.076
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.5197 0.63462 0.744 0.000 0.048 0.108 0.100
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.7151 0.16533 0.440 0.004 0.048 0.120 0.388
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.7069 0.24559 0.340 0.000 0.076 0.096 0.488
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.7674 0.26756 0.076 0.016 0.412 0.108 0.388
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3167 0.78855 0.172 0.000 0.820 0.004 0.004
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3424 0.78675 0.000 0.760 0.000 0.000 0.240
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.7112 0.53565 0.564 0.000 0.196 0.092 0.148
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.5863 0.61411 0.652 0.000 0.036 0.084 0.228
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3048 0.78571 0.176 0.000 0.820 0.004 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3048 0.78571 0.176 0.000 0.820 0.004 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.2411 0.56213 0.008 0.108 0.000 0.000 0.884
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.6828 0.35375 0.304 0.012 0.016 0.144 0.524
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5831 0.63690 0.692 0.000 0.096 0.064 0.148
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.6802 0.17632 0.368 0.000 0.028 0.468 0.136
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.7003 0.15639 0.360 0.004 0.036 0.128 0.472
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2142 0.61197 0.920 0.000 0.048 0.028 0.004
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5831 0.63690 0.692 0.000 0.096 0.064 0.148
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.2248 0.59085 0.012 0.088 0.000 0.000 0.900
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5306 0.43783 0.716 0.000 0.156 0.104 0.024
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.7121 0.29435 0.468 0.000 0.028 0.220 0.284
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.7264 0.42644 0.500 0.000 0.076 0.132 0.292
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6311 0.57749 0.612 0.000 0.056 0.084 0.248
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4709 0.66197 0.772 0.000 0.028 0.084 0.116
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.5857 0.61273 0.668 0.000 0.040 0.096 0.196
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.5614 0.55500 0.216 0.000 0.012 0.112 0.660
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1830 0.61051 0.932 0.000 0.052 0.012 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1518 0.59713 0.004 0.048 0.000 0.004 0.944
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.2011 0.56668 0.000 0.088 0.000 0.004 0.908
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3519 0.79374 0.136 0.000 0.828 0.028 0.008
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.5027 0.63040 0.292 0.004 0.016 0.664 0.024
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.2516 0.52178 0.000 0.140 0.000 0.000 0.860
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.7332 -0.01544 0.376 0.000 0.052 0.160 0.412
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0404 0.87325 0.000 0.988 0.000 0.000 0.012
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#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.1701 0.61246 0.944 0.000 0.028 0.016 0.012
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0404 0.87325 0.000 0.988 0.000 0.000 0.012
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.2178 0.61029 0.920 0.000 0.048 0.024 0.008
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.7418 0.21581 0.424 0.000 0.064 0.152 0.360
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.5706 0.52937 0.672 0.000 0.020 0.176 0.132
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.7505 0.33314 0.444 0.000 0.052 0.236 0.268
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.4179 0.64588 0.800 0.000 0.012 0.076 0.112
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.6867 0.53439 0.560 0.000 0.048 0.168 0.224
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.4757 0.65779 0.768 0.000 0.036 0.064 0.132
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.6270 0.47825 0.568 0.000 0.028 0.096 0.308
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.4733 0.75736 0.152 0.012 0.752 0.000 0.084
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 5 0.7599 0.34711 0.244 0.000 0.072 0.220 0.464
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.5378 0.57432 0.204 0.000 0.008 0.108 0.680
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 5 0.2536 0.54206 0.000 0.128 0.000 0.004 0.868
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.4840 0.61733 0.312 0.004 0.008 0.656 0.020
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1960 0.60532 0.928 0.000 0.048 0.020 0.004
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.6139 0.62754 0.664 0.000 0.072 0.100 0.164
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1978 0.60899 0.928 0.000 0.044 0.024 0.004
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.6961 0.16537 0.364 0.000 0.060 0.100 0.476
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.4446 0.52180 0.000 0.592 0.000 0.008 0.400
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.7643 0.32228 0.456 0.000 0.088 0.288 0.168
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.1830 0.59809 0.008 0.068 0.000 0.000 0.924
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.6342 0.35883 0.316 0.000 0.028 0.100 0.556
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.4360 0.65820 0.800 0.000 0.032 0.068 0.100
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.4840 0.61733 0.312 0.004 0.008 0.656 0.020
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.5039 0.64303 0.756 0.000 0.116 0.052 0.076
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.5445 0.58542 0.124 0.004 0.020 0.140 0.712
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.6317 0.13233 0.108 0.016 0.312 0.560 0.004
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.4978 0.47412 0.164 0.004 0.048 0.748 0.036
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.3814 0.63773 0.080 0.024 0.004 0.052 0.840
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.7449 0.32366 0.444 0.000 0.048 0.224 0.284
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.5640 0.61483 0.092 0.044 0.040 0.080 0.744
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.6261 0.59327 0.244 0.000 0.028 0.604 0.124
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.6251 0.60412 0.660 0.000 0.080 0.140 0.120
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.4981 0.64213 0.760 0.000 0.116 0.052 0.072
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1739 0.60871 0.940 0.000 0.032 0.024 0.004
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0404 0.87325 0.000 0.988 0.000 0.000 0.012
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.6574 0.16550 0.380 0.000 0.020 0.124 0.476
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.6841 0.57467 0.596 0.000 0.108 0.104 0.192
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.7571 0.14118 0.336 0.004 0.048 0.196 0.416
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.6674 0.56860 0.608 0.000 0.092 0.100 0.200
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.7069 0.24559 0.340 0.000 0.076 0.096 0.488
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 4 0.6317 0.13233 0.108 0.016 0.312 0.560 0.004
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.6317 0.13233 0.108 0.016 0.312 0.560 0.004
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1750 0.60530 0.936 0.000 0.036 0.028 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.6849 0.28134 0.496 0.000 0.028 0.156 0.320
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.5189 0.58386 0.724 0.000 0.020 0.148 0.108
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.3520 0.64297 0.856 0.000 0.040 0.064 0.040
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2742 0.62555 0.892 0.000 0.068 0.020 0.020
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.2095 0.61502 0.928 0.000 0.024 0.028 0.020
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.6328 0.36974 0.312 0.000 0.028 0.100 0.560
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.7615 0.32996 0.460 0.000 0.084 0.284 0.172
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.5157 0.63042 0.748 0.000 0.052 0.112 0.088
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.6931 0.41773 0.520 0.008 0.016 0.200 0.256
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.4886 0.62037 0.304 0.004 0.008 0.660 0.024
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.3629 0.64734 0.848 0.000 0.028 0.068 0.056
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.7195 0.29163 0.452 0.000 0.036 0.324 0.188
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.2188 0.62356 0.024 0.028 0.000 0.024 0.924
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3487 0.49188 0.780 0.000 0.008 0.212 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.3519 0.79374 0.136 0.000 0.828 0.028 0.008
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.7012 0.33958 0.280 0.000 0.048 0.152 0.520
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.1644 0.59919 0.004 0.048 0.000 0.008 0.940
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.6296 0.46080 0.556 0.000 0.016 0.124 0.304
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.7139 0.35350 0.496 0.000 0.316 0.068 0.120
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2053 0.60779 0.924 0.000 0.048 0.024 0.004
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3529 0.59635 0.840 0.000 0.032 0.112 0.016
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.2523 0.61271 0.008 0.020 0.004 0.064 0.904
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.6261 0.59327 0.244 0.000 0.028 0.604 0.124
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4799 0.63404 0.756 0.000 0.016 0.108 0.120
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.7468 0.43266 0.152 0.008 0.076 0.240 0.524
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.1828 0.61624 0.028 0.032 0.000 0.004 0.936
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.6375 0.42752 0.540 0.000 0.016 0.128 0.316
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1885 0.60891 0.932 0.000 0.044 0.020 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1830 0.61051 0.932 0.000 0.052 0.012 0.004
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 5 0.7172 0.30701 0.284 0.000 0.052 0.164 0.500
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1597 0.60889 0.940 0.000 0.048 0.012 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.6671 0.60248 0.616 0.000 0.116 0.092 0.176
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.6073 0.50066 0.628 0.000 0.020 0.204 0.148
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.7799 0.32424 0.428 0.000 0.080 0.248 0.244
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.6381 0.23322 0.036 0.008 0.084 0.600 0.272
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.6776 0.20677 0.456 0.000 0.024 0.140 0.380
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1300 0.60415 0.956 0.000 0.028 0.016 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.4733 0.75736 0.152 0.012 0.752 0.000 0.084
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.7413 0.43049 0.152 0.008 0.084 0.212 0.544
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.5095 0.65025 0.744 0.000 0.032 0.120 0.104
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1831 0.57410 0.000 0.076 0.000 0.004 0.920
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.7257 0.50164 0.536 0.000 0.092 0.140 0.232
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.6942 0.20899 0.452 0.000 0.048 0.112 0.388
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.7729 0.35546 0.188 0.004 0.080 0.260 0.468
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.6111 0.59558 0.156 0.016 0.044 0.100 0.684
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0510 0.87369 0.000 0.984 0.000 0.000 0.016
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4338 0.64166 0.792 0.000 0.016 0.080 0.112
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.5905 0.58371 0.196 0.000 0.040 0.100 0.664
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.6118 0.57633 0.664 0.000 0.068 0.168 0.100
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.7504 0.05306 0.356 0.000 0.052 0.196 0.396
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6317 0.13233 0.108 0.016 0.312 0.560 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.7282 -0.05863 0.380 0.000 0.048 0.160 0.412
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6640 0.46971 0.548 0.000 0.040 0.116 0.296
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.6469 0.07631 0.412 0.000 0.020 0.108 0.460
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1774 0.59690 0.932 0.000 0.052 0.016 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5341 0.55926 0.704 0.000 0.016 0.164 0.116
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.7988 0.16018 0.364 0.000 0.084 0.260 0.292
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5783 0.57435 0.676 0.000 0.200 0.056 0.068
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1353 0.6031 0.952 0.000 0.024 0.012 0.012 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.6802 0.3573 0.508 0.000 0.084 0.220 0.184 0.004
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.5136 0.6007 0.724 0.000 0.040 0.120 0.096 0.020
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1616 0.6051 0.932 0.000 0.048 0.020 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3411 0.6236 0.008 0.000 0.828 0.052 0.004 0.108
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1921 0.5977 0.924 0.000 0.024 0.044 0.004 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6189 0.4661 0.580 0.000 0.040 0.192 0.180 0.008
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4074 0.6059 0.808 0.000 0.024 0.076 0.068 0.024
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.5914 0.5543 0.660 0.000 0.064 0.156 0.092 0.028
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.7089 -0.1289 0.348 0.004 0.040 0.248 0.352 0.008
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.6989 0.1233 0.252 0.000 0.076 0.212 0.456 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6745 0.3294 0.016 0.008 0.460 0.076 0.372 0.068
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1615 0.7456 0.064 0.000 0.928 0.004 0.004 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3163 0.7623 0.000 0.764 0.000 0.000 0.232 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.7122 0.3025 0.464 0.000 0.220 0.204 0.108 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.6123 0.4647 0.584 0.000 0.036 0.172 0.200 0.008
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1531 0.7423 0.068 0.000 0.928 0.004 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.1531 0.7423 0.068 0.000 0.928 0.004 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.2499 0.5657 0.000 0.096 0.004 0.016 0.880 0.004
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.6904 0.2281 0.228 0.008 0.016 0.212 0.500 0.036
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5868 0.5212 0.644 0.000 0.084 0.144 0.124 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.7206 0.3663 0.252 0.000 0.004 0.432 0.100 0.212
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.6874 0.0691 0.272 0.000 0.032 0.236 0.444 0.016
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2356 0.6062 0.900 0.000 0.048 0.044 0.004 0.004
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5868 0.5212 0.644 0.000 0.084 0.144 0.124 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.2237 0.5783 0.000 0.080 0.000 0.020 0.896 0.004
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5502 0.4877 0.684 0.000 0.168 0.084 0.024 0.040
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.7395 0.1197 0.384 0.000 0.020 0.284 0.248 0.064
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.7078 0.1577 0.432 0.000 0.064 0.236 0.260 0.008
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6532 0.4140 0.536 0.000 0.052 0.180 0.224 0.008
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.5091 0.5919 0.708 0.000 0.032 0.164 0.084 0.012
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.5969 0.4540 0.592 0.000 0.036 0.216 0.152 0.004
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.5503 0.3999 0.144 0.004 0.016 0.208 0.628 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1500 0.6060 0.936 0.000 0.052 0.012 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1155 0.5849 0.000 0.036 0.004 0.000 0.956 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.1732 0.5725 0.000 0.072 0.004 0.000 0.920 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.2295 0.7436 0.032 0.000 0.912 0.020 0.008 0.028
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4953 0.3999 0.140 0.000 0.008 0.696 0.008 0.148
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.2420 0.5500 0.000 0.128 0.004 0.000 0.864 0.004
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.7142 -0.0991 0.284 0.000 0.040 0.292 0.368 0.016
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8519 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4982 0.5622 0.708 0.000 0.164 0.068 0.060 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.1847 0.5802 0.000 0.048 0.008 0.008 0.928 0.008
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8519 0.000 1.000 0.000 0.000 0.000 0.000
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#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 5 0.2213 0.5976 0.008 0.024 0.000 0.048 0.912 0.008
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.2893 0.5870 0.876 0.000 0.016 0.060 0.008 0.040
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.3714 0.4274 0.072 0.000 0.008 0.828 0.056 0.036
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.4837 0.6048 0.744 0.000 0.028 0.120 0.088 0.020
#> 819D3078-9956-4C41-93C5-973B88158FDF 6 0.3252 0.8831 0.008 0.004 0.156 0.016 0.000 0.816
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.5113 0.5364 0.036 0.040 0.040 0.168 0.716 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.5318 0.5703 0.708 0.000 0.096 0.120 0.064 0.012
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.6871 0.0537 0.284 0.000 0.036 0.232 0.436 0.012
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.1767 0.5995 0.020 0.004 0.004 0.032 0.936 0.004
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.7341 0.2685 0.264 0.000 0.272 0.384 0.064 0.016
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.6008 0.1277 0.064 0.000 0.068 0.488 0.380 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.4164 0.4333 0.100 0.000 0.012 0.796 0.036 0.056
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.1003 0.6001 0.964 0.000 0.020 0.016 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.1434 0.6043 0.948 0.000 0.028 0.012 0.012 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.8519 0.000 1.000 0.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1760 0.6062 0.928 0.000 0.048 0.020 0.004 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.6979 -0.0960 0.336 0.000 0.056 0.284 0.324 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.6128 0.4830 0.632 0.000 0.024 0.180 0.088 0.076
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.6877 0.1920 0.312 0.000 0.044 0.424 0.212 0.008
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.4905 0.5951 0.736 0.000 0.016 0.128 0.088 0.032
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.6753 0.1936 0.460 0.000 0.048 0.308 0.176 0.008
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.5328 0.6016 0.708 0.000 0.052 0.116 0.108 0.016
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.6777 0.2999 0.484 0.000 0.028 0.200 0.264 0.024
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.3298 0.7139 0.048 0.012 0.852 0.016 0.072 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.6469 0.0600 0.124 0.000 0.060 0.412 0.404 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.5273 0.4364 0.136 0.004 0.012 0.196 0.652 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 5 0.2400 0.5610 0.000 0.116 0.004 0.000 0.872 0.008
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.4945 0.4075 0.160 0.000 0.004 0.680 0.004 0.152
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1528 0.6016 0.936 0.000 0.048 0.016 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.6009 0.4998 0.628 0.000 0.056 0.172 0.132 0.012
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1549 0.6045 0.936 0.000 0.044 0.020 0.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.6906 0.0881 0.280 0.000 0.052 0.212 0.448 0.008
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.4100 0.5067 0.000 0.600 0.004 0.008 0.388 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.6666 0.2732 0.304 0.000 0.068 0.500 0.116 0.012
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.1863 0.5842 0.000 0.060 0.000 0.016 0.920 0.004
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.6601 0.2504 0.252 0.000 0.024 0.176 0.520 0.028
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.4647 0.6142 0.756 0.000 0.032 0.116 0.084 0.012
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.4945 0.4075 0.160 0.000 0.004 0.680 0.004 0.152
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.4668 0.5939 0.752 0.000 0.108 0.088 0.048 0.004
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.5624 0.5073 0.088 0.004 0.012 0.176 0.672 0.048
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 6 0.3252 0.8831 0.008 0.004 0.156 0.016 0.000 0.816
#> ABAF7694-F260-4509-99DB-82449EC507CE 6 0.4897 0.5174 0.040 0.004 0.000 0.344 0.012 0.600
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.3657 0.5842 0.032 0.020 0.012 0.104 0.828 0.004
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.7019 0.1325 0.324 0.000 0.044 0.396 0.224 0.012
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.5171 0.5390 0.036 0.048 0.040 0.160 0.716 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.3753 0.4325 0.084 0.000 0.008 0.824 0.044 0.040
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.6185 0.4199 0.568 0.000 0.064 0.268 0.092 0.008
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.4620 0.5942 0.756 0.000 0.108 0.084 0.048 0.004
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1074 0.6047 0.960 0.000 0.028 0.012 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8519 0.000 1.000 0.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.6755 0.1134 0.316 0.000 0.012 0.200 0.440 0.032
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.6898 0.3553 0.504 0.000 0.112 0.228 0.152 0.004
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.6978 0.1280 0.220 0.004 0.044 0.372 0.356 0.004
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.6814 0.3660 0.520 0.000 0.088 0.224 0.160 0.008
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.6989 0.1233 0.252 0.000 0.076 0.212 0.456 0.004
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 6 0.3252 0.8831 0.008 0.004 0.156 0.016 0.000 0.816
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 6 0.3252 0.8831 0.008 0.004 0.156 0.016 0.000 0.816
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1245 0.6012 0.952 0.000 0.032 0.016 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.7183 0.1851 0.444 0.000 0.028 0.188 0.288 0.052
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.5555 0.5304 0.684 0.000 0.024 0.164 0.076 0.052
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.3313 0.6194 0.840 0.000 0.024 0.104 0.028 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2395 0.6136 0.892 0.000 0.076 0.012 0.020 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1931 0.6118 0.928 0.000 0.016 0.032 0.020 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.6585 0.2573 0.248 0.000 0.024 0.176 0.524 0.028
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.6565 0.2826 0.304 0.000 0.064 0.504 0.120 0.008
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.5044 0.5683 0.720 0.000 0.052 0.144 0.076 0.008
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.6831 0.2123 0.452 0.000 0.012 0.264 0.236 0.036
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.4951 0.4185 0.152 0.000 0.004 0.688 0.008 0.148
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4094 0.6172 0.784 0.000 0.028 0.140 0.040 0.008
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.7947 0.1973 0.324 0.000 0.032 0.328 0.160 0.156
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.2180 0.5967 0.004 0.028 0.000 0.048 0.912 0.008
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.4577 0.4979 0.740 0.000 0.012 0.140 0.008 0.100
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.2295 0.7436 0.032 0.000 0.912 0.020 0.008 0.028
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.6591 0.1002 0.172 0.004 0.036 0.304 0.480 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.1299 0.5864 0.000 0.036 0.004 0.004 0.952 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.6954 0.3184 0.476 0.000 0.024 0.184 0.272 0.044
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.7002 0.1200 0.396 0.000 0.360 0.156 0.084 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1700 0.6057 0.928 0.000 0.048 0.024 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3067 0.5901 0.852 0.000 0.016 0.104 0.004 0.024
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.2486 0.5926 0.000 0.016 0.008 0.048 0.900 0.028
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.3753 0.4325 0.084 0.000 0.008 0.824 0.044 0.040
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.5199 0.5827 0.712 0.000 0.016 0.140 0.092 0.040
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.5807 0.0850 0.028 0.012 0.060 0.440 0.460 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.1639 0.5961 0.020 0.020 0.004 0.008 0.944 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.7071 0.2920 0.460 0.000 0.028 0.192 0.276 0.044
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1461 0.6027 0.940 0.000 0.044 0.016 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1500 0.6060 0.936 0.000 0.052 0.012 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 5 0.6701 0.0614 0.180 0.004 0.040 0.308 0.464 0.004
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1434 0.6029 0.940 0.000 0.048 0.012 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.6654 0.4152 0.548 0.000 0.116 0.196 0.136 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.6549 0.4384 0.576 0.000 0.024 0.220 0.096 0.084
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.6728 0.2436 0.304 0.000 0.064 0.452 0.180 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.6674 -0.3554 0.004 0.004 0.052 0.504 0.168 0.268
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.7244 0.0910 0.368 0.000 0.020 0.216 0.344 0.052
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0891 0.5981 0.968 0.000 0.024 0.008 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3298 0.7139 0.048 0.012 0.852 0.016 0.072 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.7628 0.3344 0.116 0.004 0.084 0.180 0.512 0.104
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4961 0.5807 0.704 0.000 0.028 0.176 0.088 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1555 0.5756 0.000 0.060 0.004 0.000 0.932 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.7453 0.2361 0.464 0.000 0.060 0.228 0.196 0.052
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.7131 -0.1371 0.348 0.000 0.048 0.244 0.348 0.012
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.6031 0.0570 0.052 0.008 0.060 0.476 0.404 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.5682 0.4746 0.088 0.020 0.044 0.188 0.660 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0146 0.8526 0.000 0.996 0.000 0.000 0.004 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.5059 0.5881 0.724 0.000 0.016 0.132 0.092 0.036
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.6085 0.4740 0.128 0.000 0.044 0.168 0.632 0.028
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.6068 0.4173 0.564 0.000 0.056 0.296 0.072 0.012
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.6804 0.1623 0.232 0.000 0.048 0.380 0.340 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 6 0.3252 0.8831 0.008 0.004 0.156 0.016 0.000 0.816
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.6738 -0.1201 0.296 0.000 0.036 0.292 0.376 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6682 0.2863 0.472 0.000 0.044 0.220 0.260 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.6835 0.1062 0.340 0.000 0.028 0.164 0.440 0.028
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1500 0.5992 0.936 0.000 0.052 0.012 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5803 0.5093 0.664 0.000 0.024 0.168 0.076 0.068
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.6915 0.3736 0.232 0.000 0.068 0.464 0.232 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5480 0.5059 0.636 0.000 0.228 0.092 0.044 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.893 0.930 0.970 0.3957 0.620 0.620
#> 3 3 0.386 0.648 0.771 0.5141 0.657 0.492
#> 4 4 0.470 0.494 0.719 0.1555 0.778 0.512
#> 5 5 0.552 0.513 0.670 0.0894 0.829 0.522
#> 6 6 0.649 0.720 0.795 0.0543 0.829 0.433
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9660 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9660 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9660 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9660 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.9660 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9660 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9660 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9660 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9660 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9660 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.9660 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.9248 0.4766 0.340 0.660
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0000 0.9660 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9760 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9660 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9660 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.9660 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9660 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9760 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.9129 0.5422 0.672 0.328
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9660 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9660 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.9087 0.5505 0.676 0.324
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9660 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9660 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9760 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9660 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9660 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9660 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9660 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9660 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9660 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.5059 0.8619 0.888 0.112
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9660 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9760 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9760 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0000 0.9660 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9660 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9760 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9660 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9760 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9660 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9760 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9760 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9660 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9660 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9660 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9660 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9660 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9660 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9660 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9760 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9660 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9660 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9660 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.9044 0.5584 0.680 0.320
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9760 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9660 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9760 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.7139 0.7610 0.804 0.196
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9660 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9760 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9660 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.7139 0.7610 0.804 0.196
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.5519 0.8438 0.872 0.128
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9660 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9760 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.7139 0.7610 0.804 0.196
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9760 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9660 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.9760 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9760 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.9760 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0938 0.9562 0.988 0.012
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9660 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.9760 0.000 1.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9760 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.9660 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9660 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9760 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.9660 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.9660 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9660 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9660 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9660 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.0000 0.9660 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9660 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.7139 0.7610 0.804 0.196
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.0000 0.9660 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.9660 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.9660 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9660 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9660 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9660 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9660 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9660 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9660 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9660 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9760 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9760 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9760 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.9760 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9660 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.9323 0.5003 0.652 0.348
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9660 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.9710 0.3761 0.600 0.400
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.6343 0.8068 0.840 0.160
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9760 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.9660 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9660 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.9660 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9760 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0000 0.9660 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9660 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.9660 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9760 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9760 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.9660 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.9660 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.9660 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.9660 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9660 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.9660 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.2423 0.9320 0.960 0.040
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9660 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.6623 0.7925 0.828 0.172
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.9660 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9760 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.9660 1.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.9660 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9760 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.9660 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9760 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.9760 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.9660 1.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0000 0.9660 1.000 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.0376 0.9627 0.996 0.004
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 1 0.0376 0.9627 0.996 0.004
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.9552 0.4363 0.624 0.376
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.9660 1.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.0000 0.9760 0.000 1.000
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.0000 0.9660 1.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.0000 0.9660 1.000 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.2948 0.9308 0.052 0.948
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.9760 0.000 1.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0000 0.9660 1.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 2 0.1843 0.9532 0.028 0.972
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0000 0.9660 1.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 1 0.7219 0.7559 0.800 0.200
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 1 0.7602 0.7277 0.780 0.220
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.0000 0.9660 1.000 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.0000 0.9660 1.000 0.000
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.0000 0.9660 1.000 0.000
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.0000 0.9660 1.000 0.000
#> 96B96425-04BD-4676-85EC-CCBC598533AB 1 0.0000 0.9660 1.000 0.000
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 1 0.0000 0.9660 1.000 0.000
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 1 0.0000 0.9660 1.000 0.000
#> 3B32E2B1-2825-430A-9081-2CAAE9A5FC7B 2 0.0000 0.9760 0.000 1.000
#> D09CCEEC-D367-4E44-B5F9-B3C63E19978F 2 0.0000 0.9760 0.000 1.000
#> 4B996600-09E0-4BED-B6D0-DDA3F3A0244A 2 0.0000 0.9760 0.000 1.000
#> 9B7FBC10-BCF3-477F-90FB-6EC5EB331ED6 1 0.0000 0.9660 1.000 0.000
#> 038D968B-D0EB-4F80-931A-625CF43FF8A5 1 0.0000 0.9660 1.000 0.000
#> 32287466-B795-4FA1-A7FB-3F9720B690BB 1 0.0000 0.9660 1.000 0.000
#> 51594BC1-010E-4CCE-A703-17034B351676 1 0.0000 0.9660 1.000 0.000
#> 55939D41-76B2-4AFF-A214-51E4254A8CF0 2 0.0000 0.9760 0.000 1.000
#> 8C98CB0A-9459-4D49-851B-98038A6913D1 1 0.0000 0.9660 1.000 0.000
#> CD9FB76F-6F1C-468E-86AE-8344CB3495F5 1 0.0000 0.9660 1.000 0.000
#> 26855314-D3FC-4D8E-9BD4-B2CAEBD0F21E 1 0.0000 0.9660 1.000 0.000
#> 079572F0-9F70-4576-BFE3-5B886942D0A1 1 0.0000 0.9660 1.000 0.000
#> 1EAD4B60-AD2B-4ECC-AB7A-6BCEE0AEEFB0 1 0.0000 0.9660 1.000 0.000
#> FC2EF8E3-788F-4597-A6A5-6A987ADEC30F 1 0.7139 0.7610 0.804 0.196
#> 30FBB795-35B2-49C3-A6E6-9852FC6796F4 1 0.0000 0.9660 1.000 0.000
#> C2C25CBF-4F7F-4A10-AA40-4A71C5A9557C 2 0.0000 0.9760 0.000 1.000
#> 542485C7-2543-40BA-80BC-D9735C73C657 1 0.0000 0.9660 1.000 0.000
#> E4F7EC78-E1DA-4B71-87FF-98489319F6CA 2 0.1843 0.9538 0.028 0.972
#> 2078AFD6-102A-453C-81C1-4099084A8A7D 1 0.0000 0.9660 1.000 0.000
#> 8E63F646-202A-4D01-A979-496B35873C94 1 0.0000 0.9660 1.000 0.000
#> D609AE96-04F2-47BC-B08A-0A328E0D37C2 1 0.0000 0.9660 1.000 0.000
#> 2B3D8D62-AF3E-4F76-99FC-0F0CF55FCB32 1 0.0000 0.9660 1.000 0.000
#> 35A87924-02CC-482F-A551-D71E81DFF639 1 0.0000 0.9660 1.000 0.000
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#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9660 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9660 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9660 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9660 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.7528 0.7147 0.216 0.784
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9660 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9660 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9760 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9660 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9760 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9660 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9660 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9660 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9660 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9760 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9660 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9660 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.7139 0.7610 0.804 0.196
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9660 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.7299 0.7339 0.796 0.204
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9760 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9660 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9660 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9660 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9660 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9660 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9660 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9660 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9660 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9660 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9660 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9660 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9660 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9660 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9660 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9760 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9660 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9660 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.9686 0.3864 0.604 0.396
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9760 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9660 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9660 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9660 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9660 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9760 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9660 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9660 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9760 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9760 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9660 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9660 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9660 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9660 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9660 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9660 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9660 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9660 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.8386 0.6527 0.732 0.268
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1843 0.9427 0.972 0.028
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9660 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9760 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9660 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9660 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9760 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9660 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9660 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.2948 0.9307 0.052 0.948
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9760 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9760 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9660 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9660 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9660 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9660 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.3274 0.9237 0.060 0.940
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0938 0.9562 0.988 0.012
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9660 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.9732 0.2898 0.404 0.596
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9660 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9660 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9660 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9660 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4654 0.7687 0.792 0.000 0.208
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3816 0.6420 0.148 0.000 0.852
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.5859 0.4989 0.656 0.000 0.344
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.5016 0.7566 0.760 0.000 0.240
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.5431 0.7340 0.716 0.000 0.284
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0424 0.7866 0.992 0.000 0.008
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6308 -0.0243 0.508 0.000 0.492
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3482 0.7818 0.872 0.000 0.128
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4750 0.7071 0.784 0.000 0.216
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6215 0.0230 0.572 0.000 0.428
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.2878 0.6660 0.096 0.000 0.904
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1529 0.6479 0.040 0.000 0.960
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.5497 0.7310 0.708 0.000 0.292
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0592 0.7977 0.000 0.988 0.012
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.5178 0.7498 0.744 0.000 0.256
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.6026 0.4777 0.376 0.000 0.624
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5465 0.7327 0.712 0.000 0.288
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.5497 0.7310 0.708 0.000 0.292
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.6140 0.5088 0.000 0.596 0.404
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.4555 0.7405 0.200 0.000 0.800
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5016 0.7571 0.760 0.000 0.240
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.5465 0.4162 0.712 0.000 0.288
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.5363 0.7192 0.276 0.000 0.724
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.4002 0.7556 0.840 0.000 0.160
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5058 0.7556 0.756 0.000 0.244
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5497 0.6484 0.000 0.708 0.292
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.3686 0.7838 0.860 0.000 0.140
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.5138 0.7142 0.252 0.000 0.748
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.6302 -0.2262 0.480 0.000 0.520
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.6180 0.3612 0.416 0.000 0.584
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4750 0.7109 0.784 0.000 0.216
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.6008 0.1958 0.372 0.000 0.628
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.5327 0.7214 0.272 0.000 0.728
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4346 0.7599 0.816 0.000 0.184
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.6079 0.5346 0.000 0.612 0.388
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.1860 0.7862 0.000 0.948 0.052
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.5497 0.7310 0.708 0.000 0.292
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.1289 0.7769 0.968 0.000 0.032
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.5465 0.6514 0.000 0.712 0.288
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.4887 0.7400 0.228 0.000 0.772
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8001 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.5098 0.7536 0.752 0.000 0.248
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.6180 0.4854 0.000 0.584 0.416
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8001 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4504 0.7362 0.804 0.000 0.196
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.5905 0.2442 0.648 0.000 0.352
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.3816 0.6494 0.148 0.000 0.852
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4504 0.6116 0.804 0.000 0.196
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.6235 0.2934 0.436 0.000 0.564
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.3116 0.7341 0.108 0.000 0.892
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.4605 0.6240 0.796 0.000 0.204
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8001 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3412 0.7826 0.876 0.000 0.124
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.5216 0.7253 0.260 0.000 0.740
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.3619 0.7739 0.864 0.000 0.136
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.3112 0.7574 0.916 0.056 0.028
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.6154 0.5014 0.000 0.592 0.408
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1643 0.7712 0.956 0.000 0.044
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.5902 0.3820 0.004 0.316 0.680
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.4504 0.7404 0.196 0.000 0.804
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3038 0.7819 0.896 0.000 0.104
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8001 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.4605 0.7695 0.796 0.000 0.204
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.4504 0.7404 0.196 0.000 0.804
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.3610 0.7683 0.888 0.016 0.096
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.6302 -0.3812 0.480 0.000 0.520
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.6570 0.4200 0.028 0.292 0.680
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.4504 0.7404 0.196 0.000 0.804
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8001 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0892 0.7808 0.980 0.000 0.020
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.5723 0.3011 0.016 0.240 0.744
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.6225 0.4414 0.000 0.568 0.432
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1411 0.7796 0.000 0.964 0.036
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.3340 0.7106 0.880 0.000 0.120
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.6307 0.0851 0.488 0.000 0.512
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.5202 0.5476 0.008 0.220 0.772
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.6274 -0.1033 0.000 0.456 0.544
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.2066 0.6860 0.060 0.000 0.940
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.6111 0.5760 0.396 0.000 0.604
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8001 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.3116 0.6661 0.108 0.000 0.892
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.6126 0.0262 0.400 0.000 0.600
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.1163 0.7784 0.972 0.000 0.028
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4796 0.7054 0.780 0.000 0.220
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2878 0.7910 0.904 0.000 0.096
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.5497 0.7310 0.708 0.000 0.292
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.6308 0.3347 0.508 0.000 0.492
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.4504 0.7404 0.196 0.000 0.804
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.5497 0.7310 0.708 0.000 0.292
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.5497 0.7310 0.708 0.000 0.292
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.2878 0.7751 0.904 0.000 0.096
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.1163 0.7784 0.972 0.000 0.028
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2711 0.7903 0.912 0.000 0.088
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.2878 0.7910 0.904 0.000 0.096
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.4555 0.7307 0.800 0.000 0.200
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 3 0.6168 0.0449 0.412 0.000 0.588
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.5016 0.7571 0.760 0.000 0.240
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#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6095 0.3799 0.608 0.000 0.392
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.5835 0.6518 0.052 0.164 0.784
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.5016 0.7571 0.760 0.000 0.240
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5098 0.6703 0.752 0.000 0.248
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.5431 0.7142 0.284 0.000 0.716
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5138 0.7520 0.748 0.000 0.252
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3052 0.45608 0.860 0.000 0.004 0.136
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.6140 0.31975 0.452 0.000 0.500 0.048
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.7203 0.33114 0.536 0.000 0.288 0.176
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0895 0.49191 0.976 0.000 0.004 0.020
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4697 0.32972 0.696 0.000 0.008 0.296
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5055 0.13221 0.624 0.000 0.008 0.368
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.7464 0.26416 0.480 0.000 0.328 0.192
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5090 0.26336 0.660 0.000 0.016 0.324
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.7001 0.32074 0.576 0.000 0.244 0.180
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.7495 0.18005 0.468 0.000 0.340 0.192
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.5284 0.48671 0.368 0.000 0.616 0.016
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.7452 0.36123 0.292 0.004 0.520 0.184
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.2760 0.83302 0.000 0.872 0.128 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1635 0.48512 0.948 0.000 0.008 0.044
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.6532 -0.10548 0.420 0.000 0.504 0.076
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.4647 0.33540 0.704 0.000 0.008 0.288
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.4564 0.45189 0.000 0.328 0.672 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.1637 0.75647 0.000 0.000 0.940 0.060
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1398 0.49340 0.956 0.000 0.004 0.040
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.7529 0.31443 0.288 0.000 0.224 0.488
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.1118 0.76163 0.000 0.000 0.964 0.036
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3219 0.40680 0.836 0.000 0.000 0.164
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1854 0.49638 0.940 0.000 0.012 0.048
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.4790 0.34953 0.000 0.380 0.620 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 4 0.5288 -0.22091 0.472 0.000 0.008 0.520
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.4083 0.70158 0.068 0.000 0.832 0.100
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.7494 0.11321 0.264 0.000 0.236 0.500
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6546 0.25093 0.492 0.000 0.432 0.076
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.6669 0.28101 0.572 0.000 0.108 0.320
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.6867 0.32769 0.552 0.000 0.324 0.124
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.0592 0.76284 0.000 0.000 0.984 0.016
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2216 0.48176 0.908 0.000 0.000 0.092
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.4543 0.45907 0.000 0.324 0.676 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4454 0.56031 0.000 0.692 0.308 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4955 0.63362 0.344 0.000 0.008 0.648
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.4843 0.31190 0.000 0.396 0.604 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.3443 0.71732 0.016 0.000 0.848 0.136
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1004 0.49145 0.972 0.000 0.004 0.024
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4522 0.46548 0.000 0.320 0.680 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.7105 0.34103 0.556 0.000 0.268 0.176
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.7756 0.22893 0.296 0.000 0.268 0.436
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.6323 -0.12262 0.500 0.000 0.440 0.060
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.5152 0.59507 0.316 0.000 0.020 0.664
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.6882 0.27539 0.500 0.000 0.392 0.108
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.1661 0.75710 0.004 0.000 0.944 0.052
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.5511 0.56494 0.332 0.000 0.032 0.636
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5220 0.23607 0.632 0.000 0.016 0.352
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.3892 0.68454 0.004 0.004 0.800 0.192
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.5935 -0.40511 0.496 0.000 0.036 0.468
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5616 0.62670 0.344 0.016 0.012 0.628
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 3 0.4543 0.45885 0.000 0.324 0.676 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.5730 0.62241 0.344 0.000 0.040 0.616
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.1584 0.75495 0.000 0.036 0.952 0.012
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.2443 0.74816 0.024 0.000 0.916 0.060
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.6732 0.54046 0.336 0.000 0.108 0.556
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3196 0.45366 0.856 0.000 0.008 0.136
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.1716 0.75536 0.000 0.000 0.936 0.064
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.3895 0.35905 0.184 0.000 0.012 0.804
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.5594 0.41904 0.716 0.000 0.192 0.092
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.3198 0.72947 0.000 0.080 0.880 0.040
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.1970 0.75418 0.008 0.000 0.932 0.060
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.5110 0.63132 0.352 0.000 0.012 0.636
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.8787 0.20151 0.272 0.048 0.412 0.268
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.4837 0.41586 0.000 0.348 0.648 0.004
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.5271 0.63511 0.340 0.000 0.020 0.640
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.7314 0.29137 0.496 0.000 0.336 0.168
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.1124 0.76088 0.004 0.012 0.972 0.012
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.3047 0.70938 0.000 0.116 0.872 0.012
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.5008 0.64283 0.228 0.000 0.732 0.040
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.7118 0.17295 0.168 0.000 0.548 0.284
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.5025 0.62582 0.252 0.000 0.716 0.032
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.6543 0.31117 0.544 0.000 0.372 0.084
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.5075 0.63494 0.344 0.000 0.012 0.644
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.7050 0.33934 0.568 0.000 0.252 0.180
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.4228 0.35906 0.760 0.000 0.008 0.232
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.6797 0.31753 0.536 0.000 0.356 0.108
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.2443 0.74816 0.024 0.000 0.916 0.060
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.4746 0.33143 0.688 0.000 0.008 0.304
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.3895 0.35905 0.184 0.000 0.012 0.804
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.5093 0.63372 0.348 0.000 0.012 0.640
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.4422 0.33655 0.736 0.000 0.008 0.256
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.4422 0.32948 0.736 0.000 0.008 0.256
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.7201 0.33395 0.544 0.000 0.268 0.188
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.6738 0.31985 0.544 0.000 0.352 0.104
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0188 0.49814 0.996 0.000 0.004 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.5007 0.15804 0.636 0.000 0.008 0.356
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0336 0.93210 0.000 0.992 0.008 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 3 0.2021 0.74662 0.000 0.056 0.932 0.012
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4746 0.25930 0.688 0.000 0.008 0.304
#> D8985489-B182-4538-A0C2-59649231B71F 3 0.0817 0.76330 0.000 0.000 0.976 0.024
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.5075 0.62967 0.344 0.000 0.012 0.644
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.2142 0.75718 0.000 0.016 0.928 0.056
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 3 0.6881 0.21261 0.120 0.000 0.540 0.340
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 3 0.4522 0.46548 0.000 0.320 0.680 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.7269 0.32155 0.524 0.000 0.296 0.180
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.5229 -0.11807 0.564 0.000 0.008 0.428
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.1004 0.49145 0.972 0.000 0.004 0.024
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.7357 0.07797 0.512 0.000 0.296 0.192
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.4422 0.33081 0.736 0.000 0.008 0.256
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.6745 0.24636 0.480 0.000 0.428 0.092
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.7275 0.27231 0.152 0.000 0.376 0.472
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.2111 0.76384 0.024 0.000 0.932 0.044
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.5173 0.26454 0.660 0.000 0.020 0.320
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0376 0.49757 0.992 0.000 0.004 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.5217 0.59770 0.380 0.000 0.012 0.608
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.5183 -0.25090 0.584 0.000 0.008 0.408
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 3 0.4643 0.46855 0.000 0.000 0.656 0.344
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0524 0.49928 0.988 0.000 0.004 0.008
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 3 0.0336 0.76265 0.000 0.000 0.992 0.008
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.1743 0.49277 0.940 0.000 0.004 0.056
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.2081 0.48442 0.916 0.000 0.000 0.084
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.5281 -0.21931 0.528 0.000 0.008 0.464
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.2216 0.86789 0.000 0.908 0.092 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 3 0.6691 0.35288 0.236 0.000 0.612 0.152
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 3 0.4304 0.52436 0.000 0.284 0.716 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.1209 0.48928 0.964 0.000 0.004 0.032
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 3 0.6263 0.14955 0.356 0.000 0.576 0.068
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 3 0.3708 0.69916 0.020 0.000 0.832 0.148
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 3 0.4790 0.39440 0.000 0.000 0.620 0.380
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 3 0.1516 0.76089 0.008 0.016 0.960 0.016
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.7142 0.31311 0.524 0.000 0.324 0.152
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 3 0.3292 0.71422 0.112 0.004 0.868 0.016
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 3 0.3037 0.73671 0.036 0.000 0.888 0.076
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 3 0.3793 0.72260 0.000 0.112 0.844 0.044
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.5271 0.20359 0.640 0.000 0.020 0.340
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 3 0.1394 0.76052 0.016 0.008 0.964 0.012
#> B523A296-8146-456A-9942-7147A1882B01 4 0.5535 0.43596 0.420 0.000 0.020 0.560
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 3 0.1247 0.76124 0.016 0.004 0.968 0.012
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 3 0.1762 0.75982 0.004 0.004 0.944 0.048
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.7133 0.34002 0.548 0.000 0.280 0.172
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.1118 0.49290 0.964 0.000 0.000 0.036
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.5055 0.11855 0.624 0.000 0.008 0.368
#> 96B96425-04BD-4676-85EC-CCBC598533AB 3 0.4094 0.72202 0.116 0.000 0.828 0.056
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#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 3 0.4844 0.49141 0.000 0.300 0.688 0.012
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.2704 0.83529 0.000 0.876 0.124 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 3 0.4103 0.56353 0.000 0.256 0.744 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.7285 0.31710 0.516 0.000 0.308 0.176
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.5291 0.62870 0.324 0.000 0.024 0.652
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 3 0.0817 0.75866 0.000 0.024 0.976 0.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.7069 0.32034 0.532 0.000 0.324 0.144
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.7001 0.34912 0.576 0.000 0.244 0.180
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.5452 0.18692 0.616 0.000 0.024 0.360
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.7534 0.34893 0.192 0.000 0.360 0.448
#> 9E9640CE-68E4-402B-87B4-805A425009B2 3 0.6907 0.40089 0.172 0.000 0.588 0.240
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.5055 0.11328 0.624 0.000 0.008 0.368
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 4 0.6915 0.14062 0.140 0.000 0.296 0.564
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 4 0.3895 0.35905 0.184 0.000 0.012 0.804
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.5778 0.46483 0.356 0.000 0.604 0.040
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 3 0.2198 0.75057 0.000 0.008 0.920 0.072
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.4792 0.24649 0.680 0.000 0.008 0.312
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.4972 0.01066 0.000 0.000 0.456 0.544
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.6011 0.38380 0.688 0.000 0.132 0.180
#> 819D3078-9956-4C41-93C5-973B88158FDF 4 0.6201 0.13740 0.080 0.000 0.300 0.620
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 3 0.1593 0.75841 0.004 0.024 0.956 0.016
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.5281 0.43614 0.464 0.000 0.008 0.528
#> 06559D18-E45E-4697-BCDB-C781BCF71327 3 0.2081 0.75021 0.000 0.000 0.916 0.084
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.0657 0.76314 0.004 0.000 0.984 0.012
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.5263 -0.01350 0.544 0.000 0.008 0.448
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.5161 -0.08661 0.000 0.004 0.476 0.520
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.5093 0.63372 0.348 0.000 0.012 0.640
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.4511 0.31327 0.724 0.000 0.008 0.268
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.4722 0.27102 0.692 0.000 0.008 0.300
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0707 0.49255 0.980 0.000 0.000 0.020
#> D336B440-AEFF-428A-B92D-A4315400B199 3 0.5392 0.54911 0.040 0.000 0.680 0.280
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 3 0.4711 0.65673 0.064 0.000 0.784 0.152
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.6652 0.54549 0.316 0.000 0.108 0.576
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.7268 0.31576 0.516 0.000 0.312 0.172
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.5497 0.28722 0.672 0.000 0.044 0.284
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.7299 0.31333 0.512 0.000 0.312 0.176
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.7270 0.32074 0.520 0.000 0.304 0.176
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.8012 0.14971 0.360 0.004 0.368 0.268
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 3 0.2342 0.76034 0.008 0.000 0.912 0.080
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 3 0.0707 0.76293 0.000 0.000 0.980 0.020
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.3837 0.70781 0.000 0.776 0.224 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.5093 0.63372 0.348 0.000 0.012 0.640
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1792 0.48931 0.932 0.000 0.000 0.068
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.3157 0.34985 0.852 0.000 0.004 0.144
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1792 0.48931 0.932 0.000 0.000 0.068
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.2385 0.75862 0.052 0.000 0.920 0.028
#> 3F79FC21-B181-42FE-914B-CC298BD72343 3 0.4679 0.40800 0.000 0.352 0.648 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.5093 0.63327 0.348 0.000 0.012 0.640
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 3 0.4522 0.46548 0.000 0.320 0.680 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.1890 0.75633 0.008 0.000 0.936 0.056
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.5427 0.07157 0.568 0.000 0.016 0.416
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.5186 0.63478 0.344 0.000 0.016 0.640
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.4746 0.30059 0.688 0.000 0.008 0.304
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.1124 0.76340 0.004 0.012 0.972 0.012
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.3895 0.35905 0.184 0.000 0.012 0.804
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.4936 0.60008 0.316 0.000 0.012 0.672
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.1584 0.75426 0.000 0.036 0.952 0.012
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.5792 0.52687 0.416 0.000 0.032 0.552
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 3 0.4781 0.43547 0.000 0.336 0.660 0.004
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.5093 0.63372 0.348 0.000 0.012 0.640
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.5110 0.63132 0.352 0.000 0.012 0.636
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2546 0.45850 0.900 0.000 0.008 0.092
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.2011 0.48566 0.920 0.000 0.000 0.080
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0188 0.93661 0.000 0.996 0.000 0.004
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.6118 0.47504 0.208 0.000 0.672 0.120
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.2840 0.48703 0.900 0.000 0.044 0.056
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.3160 0.73890 0.020 0.000 0.872 0.108
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.1452 0.49073 0.956 0.000 0.008 0.036
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.5003 0.54491 0.308 0.000 0.676 0.016
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 4 0.5161 -0.41141 0.000 0.476 0.004 0.520
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.5257 0.01572 0.444 0.000 0.008 0.548
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.4917 0.21364 0.656 0.000 0.008 0.336
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.7082 0.28194 0.500 0.000 0.368 0.132
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.7193 0.29890 0.508 0.000 0.340 0.152
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.5295 0.32792 0.488 0.000 0.008 0.504
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1118 0.49266 0.964 0.000 0.000 0.036
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.4722 0.27102 0.692 0.000 0.008 0.300
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.2021 0.75453 0.012 0.000 0.932 0.056
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.5093 0.63327 0.348 0.000 0.012 0.640
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.5110 0.63132 0.352 0.000 0.012 0.636
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.6340 0.40079 0.096 0.000 0.620 0.284
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.5130 0.63173 0.332 0.000 0.016 0.652
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.5189 0.62026 0.372 0.000 0.012 0.616
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.7092 0.47996 0.320 0.000 0.148 0.532
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.4855 0.32919 0.000 0.600 0.400 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.4746 0.25604 0.688 0.000 0.008 0.304
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.4673 0.33299 0.700 0.000 0.008 0.292
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.0707 0.76250 0.000 0.000 0.980 0.020
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.3873 0.59946 0.000 0.228 0.772 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.5727 0.47439 0.236 0.000 0.688 0.076
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.3933 0.39003 0.792 0.000 0.008 0.200
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1004 0.49145 0.972 0.000 0.004 0.024
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.5244 0.58619 0.388 0.000 0.012 0.600
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.0817 0.75866 0.000 0.024 0.976 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.5093 0.63372 0.348 0.000 0.012 0.640
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.7199 0.32374 0.552 0.000 0.216 0.232
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.4936 0.36310 0.000 0.372 0.624 0.004
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.2831 0.70856 0.000 0.120 0.876 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.3764 0.71643 0.072 0.000 0.852 0.076
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1004 0.49250 0.972 0.000 0.004 0.024
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1867 0.48839 0.928 0.000 0.000 0.072
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.7883 0.22103 0.292 0.000 0.328 0.380
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1716 0.48981 0.936 0.000 0.000 0.064
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.2021 0.49250 0.936 0.000 0.024 0.040
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.7359 0.30655 0.504 0.000 0.312 0.184
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.5093 0.63327 0.348 0.000 0.012 0.640
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.5252 0.51088 0.020 0.000 0.644 0.336
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.1970 0.75418 0.008 0.000 0.932 0.060
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2081 0.48449 0.916 0.000 0.000 0.084
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.9458 0.04081 0.312 0.100 0.320 0.268
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.2751 0.75371 0.040 0.000 0.904 0.056
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4647 0.30099 0.704 0.000 0.008 0.288
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.4522 0.46548 0.000 0.320 0.680 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.5372 0.00784 0.444 0.000 0.012 0.544
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.1118 0.76211 0.000 0.000 0.964 0.036
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.6451 0.18618 0.000 0.068 0.476 0.456
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.5026 0.46813 0.000 0.312 0.672 0.016
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.93657 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6404 0.35841 0.644 0.000 0.136 0.220
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.1929 0.76363 0.024 0.000 0.940 0.036
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.5149 0.63146 0.336 0.000 0.016 0.648
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.3356 0.69899 0.000 0.000 0.824 0.176
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.5665 0.27704 0.108 0.000 0.176 0.716
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.4697 0.43850 0.000 0.000 0.644 0.356
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.7299 0.31333 0.512 0.000 0.312 0.176
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.1733 0.76135 0.000 0.024 0.948 0.028
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1792 0.48931 0.932 0.000 0.000 0.068
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.7149 0.33860 0.552 0.000 0.264 0.184
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4967 -0.01325 0.000 0.000 0.452 0.548
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.1356 0.48682 0.960 0.000 0.008 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.5927 0.45917 0.592 0.000 0.172 0.236 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.6411 0.10029 0.148 0.000 0.440 0.004 0.408
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1717 0.56593 0.936 0.000 0.004 0.008 0.052
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.6274 -0.11507 0.420 0.000 0.432 0.148 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.1419 0.65643 0.012 0.000 0.956 0.016 0.016
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5687 0.21692 0.484 0.000 0.080 0.436 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.3719 0.55247 0.816 0.000 0.000 0.068 0.116
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4438 0.51033 0.732 0.000 0.040 0.224 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3792 0.57106 0.828 0.000 0.012 0.096 0.064
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6315 0.43770 0.572 0.000 0.012 0.252 0.164
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4924 0.17994 0.028 0.000 0.420 0.000 0.552
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3752 0.43063 0.000 0.000 0.708 0.000 0.292
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1518 0.66008 0.020 0.000 0.952 0.012 0.016
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4300 0.20703 0.000 0.524 0.000 0.000 0.476
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.6253 -0.02998 0.396 0.000 0.472 0.128 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3684 0.38847 0.720 0.000 0.000 0.000 0.280
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1596 0.65844 0.028 0.000 0.948 0.012 0.012
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.1612 0.65969 0.024 0.000 0.948 0.012 0.016
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.2424 0.69144 0.000 0.132 0.000 0.000 0.868
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.4118 0.60459 0.336 0.000 0.000 0.004 0.660
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.6326 0.21016 0.460 0.000 0.380 0.160 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.5420 -0.03916 0.524 0.000 0.000 0.416 0.060
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.3562 0.71866 0.196 0.000 0.000 0.016 0.788
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.6724 0.24188 0.392 0.000 0.252 0.356 0.000
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#> 9E9640CE-68E4-402B-87B4-805A425009B2 4 0.7368 0.09667 0.316 0.000 0.028 0.384 0.272
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.5271 0.26164 0.520 0.000 0.048 0.432 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.7425 0.21209 0.076 0.004 0.484 0.308 0.128
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 4 0.5850 0.00427 0.072 0.008 0.440 0.480 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.4415 0.10862 0.004 0.000 0.552 0.000 0.444
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 5 0.1764 0.75274 0.008 0.000 0.000 0.064 0.928
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.5470 0.41028 0.588 0.000 0.080 0.332 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.3635 0.52103 0.004 0.000 0.000 0.748 0.248
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.4254 0.55869 0.804 0.000 0.060 0.108 0.028
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.6777 0.12402 0.112 0.004 0.464 0.392 0.028
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.0162 0.76629 0.000 0.000 0.004 0.000 0.996
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.5328 0.23844 0.352 0.000 0.064 0.584 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.4714 0.50626 0.408 0.000 0.004 0.012 0.576
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.0324 0.76789 0.004 0.000 0.000 0.004 0.992
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.5128 0.15534 0.012 0.000 0.548 0.420 0.020
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.3707 0.50130 0.000 0.000 0.000 0.716 0.284
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.1430 0.71802 0.052 0.000 0.000 0.944 0.004
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.5714 0.44593 0.592 0.000 0.116 0.292 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.5470 0.44920 0.612 0.000 0.092 0.296 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0162 0.92899 0.000 0.996 0.000 0.000 0.004
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.6269 0.14747 0.444 0.000 0.408 0.148 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.5790 0.38775 0.088 0.000 0.012 0.296 0.604
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.4770 -0.07926 0.596 0.000 0.008 0.012 0.384
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.2740 0.70579 0.096 0.000 0.000 0.876 0.028
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.1704 0.56475 0.928 0.000 0.000 0.004 0.068
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.5855 0.36867 0.552 0.000 0.084 0.356 0.008
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.1798 0.56330 0.928 0.000 0.004 0.004 0.064
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.2139 0.56975 0.916 0.000 0.000 0.032 0.052
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.2439 0.58807 0.004 0.000 0.876 0.000 0.120
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 5 0.5889 0.46188 0.128 0.000 0.004 0.272 0.596
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.0992 0.76635 0.008 0.000 0.000 0.024 0.968
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 5 0.4182 0.19236 0.000 0.400 0.000 0.000 0.600
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.1357 0.71625 0.048 0.000 0.004 0.948 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.6455 0.29960 0.480 0.000 0.320 0.200 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 4 0.5803 0.07279 0.080 0.000 0.408 0.508 0.004
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.6455 0.29960 0.480 0.000 0.320 0.200 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.3655 0.72077 0.160 0.000 0.036 0.000 0.804
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.2471 0.68958 0.000 0.136 0.000 0.000 0.864
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.2130 0.71663 0.080 0.000 0.000 0.908 0.012
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.1908 0.72572 0.000 0.092 0.000 0.000 0.908
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.4327 0.57714 0.360 0.000 0.008 0.000 0.632
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.4588 0.36677 0.604 0.000 0.016 0.380 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.1430 0.71601 0.052 0.000 0.004 0.944 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.3849 0.58034 0.080 0.000 0.808 0.112 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.2488 0.74774 0.124 0.000 0.004 0.000 0.872
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.5850 0.00427 0.072 0.008 0.440 0.480 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.3174 0.66390 0.132 0.004 0.020 0.844 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.0404 0.76432 0.000 0.012 0.000 0.000 0.988
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3734 0.68281 0.128 0.000 0.028 0.824 0.020
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.2377 0.69191 0.000 0.128 0.000 0.000 0.872
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.1357 0.71625 0.048 0.000 0.004 0.948 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.2583 0.68786 0.132 0.000 0.000 0.864 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.6160 0.12458 0.344 0.000 0.532 0.116 0.008
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.6455 0.31003 0.484 0.000 0.312 0.204 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0162 0.92899 0.000 0.996 0.000 0.000 0.004
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.3160 0.48468 0.808 0.000 0.004 0.000 0.188
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5256 0.14978 0.540 0.000 0.420 0.032 0.008
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.6204 0.46316 0.312 0.000 0.000 0.164 0.524
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.6035 0.10881 0.464 0.000 0.432 0.100 0.004
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.4465 0.44410 0.024 0.000 0.304 0.000 0.672
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.7353 0.10872 0.036 0.212 0.392 0.360 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5291 0.31633 0.052 0.004 0.596 0.348 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.5766 0.31403 0.516 0.000 0.092 0.392 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.3247 0.52147 0.840 0.000 0.008 0.016 0.136
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.2796 0.53640 0.868 0.000 0.008 0.008 0.116
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.4467 0.34049 0.344 0.000 0.016 0.640 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.6422 0.23741 0.460 0.000 0.360 0.180 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.5470 0.44973 0.612 0.000 0.092 0.296 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.4327 0.57414 0.360 0.000 0.008 0.000 0.632
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.2017 0.71606 0.080 0.000 0.000 0.912 0.008
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.1792 0.71444 0.084 0.000 0.000 0.916 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.5064 0.30742 0.672 0.000 0.000 0.080 0.248
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.1197 0.71656 0.048 0.000 0.000 0.952 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.3280 0.63598 0.176 0.000 0.012 0.812 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.4349 0.63032 0.176 0.000 0.000 0.756 0.068
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.3561 0.52637 0.000 0.260 0.000 0.000 0.740
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.5490 0.41835 0.592 0.000 0.084 0.324 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.1419 0.65944 0.016 0.000 0.956 0.012 0.016
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.1282 0.76735 0.044 0.000 0.000 0.004 0.952
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.1270 0.75042 0.000 0.052 0.000 0.000 0.948
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3906 0.28879 0.704 0.000 0.004 0.000 0.292
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.2992 0.62200 0.092 0.000 0.872 0.024 0.012
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.6190 -0.08986 0.420 0.000 0.444 0.136 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.4339 0.37408 0.296 0.000 0.020 0.684 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0609 0.76771 0.020 0.000 0.000 0.000 0.980
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1270 0.71779 0.052 0.000 0.000 0.948 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1444 0.56710 0.948 0.000 0.000 0.012 0.040
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.3489 0.65926 0.000 0.144 0.000 0.036 0.820
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0609 0.76239 0.000 0.020 0.000 0.000 0.980
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4101 0.17384 0.664 0.000 0.004 0.000 0.332
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.6320 0.15504 0.440 0.000 0.404 0.156 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.6464 0.29264 0.476 0.000 0.324 0.200 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.6274 -0.05616 0.432 0.000 0.000 0.420 0.148
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.6482 0.27868 0.468 0.000 0.332 0.200 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.6271 -0.08425 0.420 0.000 0.448 0.128 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.2331 0.55926 0.908 0.000 0.004 0.024 0.064
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.1956 0.71746 0.076 0.000 0.000 0.916 0.008
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.6823 -0.18684 0.448 0.000 0.008 0.224 0.320
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.4251 0.56683 0.372 0.000 0.000 0.004 0.624
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.6358 0.35868 0.516 0.000 0.276 0.208 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.2439 0.58435 0.000 0.004 0.876 0.000 0.120
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.5068 0.55404 0.364 0.000 0.044 0.000 0.592
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.6211 0.35315 0.512 0.000 0.132 0.352 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1851 0.72726 0.000 0.088 0.000 0.000 0.912
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.5022 0.42591 0.040 0.004 0.676 0.272 0.008
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.2969 0.74277 0.128 0.000 0.000 0.020 0.852
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.4331 0.30882 0.000 0.004 0.000 0.596 0.400
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.2338 0.70632 0.000 0.112 0.000 0.004 0.884
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0162 0.92899 0.000 0.996 0.000 0.000 0.004
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3898 0.56150 0.820 0.000 0.028 0.120 0.032
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4329 0.66413 0.252 0.000 0.032 0.000 0.716
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2969 0.68860 0.128 0.000 0.000 0.852 0.020
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.5235 0.41401 0.068 0.000 0.000 0.312 0.620
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6700 0.09008 0.072 0.008 0.460 0.420 0.040
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.4807 0.18118 0.020 0.000 0.000 0.532 0.448
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1798 0.56330 0.928 0.000 0.004 0.004 0.064
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2179 0.75147 0.112 0.000 0.000 0.000 0.888
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.6464 0.29302 0.476 0.000 0.324 0.200 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1682 0.56579 0.940 0.000 0.004 0.012 0.044
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4016 0.51582 0.012 0.000 0.000 0.716 0.272
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.6140 0.01793 0.372 0.000 0.492 0.136 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2221 0.7832 0.896 0.000 0.000 0.032 0.000 0.072
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 6 0.7688 0.1315 0.300 0.000 0.148 0.008 0.212 0.332
#> 1562153C-AC2E-4094-A936-75CC580367A9 6 0.2595 0.7645 0.160 0.000 0.004 0.000 0.000 0.836
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1949 0.7152 0.904 0.000 0.088 0.004 0.000 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2631 0.7684 0.180 0.000 0.820 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3648 0.7322 0.776 0.000 0.012 0.188 0.000 0.024
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 6 0.5266 0.6966 0.188 0.000 0.016 0.088 0.024 0.684
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3763 0.6837 0.736 0.000 0.012 0.012 0.000 0.240
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 6 0.3926 0.6648 0.244 0.000 0.012 0.012 0.004 0.728
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6166 0.6258 0.624 0.000 0.016 0.140 0.068 0.152
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.7009 0.2224 0.228 0.000 0.144 0.008 0.500 0.120
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3554 0.7113 0.080 0.000 0.808 0.000 0.108 0.004
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.2762 0.7665 0.196 0.000 0.804 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 5 0.2527 0.7230 0.000 0.168 0.000 0.000 0.832 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2600 0.6717 0.860 0.000 0.124 0.008 0.000 0.008
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.4772 0.7723 0.096 0.000 0.020 0.004 0.160 0.720
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.2823 0.7632 0.204 0.000 0.796 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.2762 0.7665 0.196 0.000 0.804 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0632 0.8732 0.000 0.024 0.000 0.000 0.976 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 6 0.3240 0.7067 0.000 0.000 0.004 0.000 0.244 0.752
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2113 0.7397 0.908 0.000 0.060 0.004 0.000 0.028
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.4520 0.4903 0.028 0.000 0.012 0.296 0.004 0.660
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 6 0.4506 0.6136 0.000 0.000 0.008 0.040 0.300 0.652
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1769 0.7734 0.924 0.000 0.012 0.060 0.000 0.004
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2877 0.7195 0.848 0.000 0.020 0.008 0.000 0.124
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0865 0.8658 0.000 0.036 0.000 0.000 0.964 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5791 0.3210 0.380 0.000 0.504 0.076 0.000 0.040
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#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.0260 0.8805 0.000 0.000 0.000 0.000 0.992 0.008
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3092 0.7978 0.120 0.000 0.012 0.840 0.000 0.028
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.0632 0.8728 0.000 0.024 0.000 0.000 0.976 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.1788 0.8092 0.052 0.000 0.012 0.928 0.004 0.004
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#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2773 0.6445 0.836 0.000 0.152 0.004 0.000 0.008
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0806 0.7655 0.972 0.000 0.020 0.008 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0260 0.9798 0.000 0.992 0.000 0.000 0.008 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 6 0.3393 0.7897 0.112 0.000 0.008 0.004 0.048 0.828
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5611 -0.2135 0.460 0.000 0.112 0.008 0.000 0.420
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 6 0.5315 0.6008 0.004 0.000 0.016 0.080 0.292 0.608
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.3095 0.6666 0.844 0.000 0.104 0.008 0.000 0.044
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#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.7224 0.4728 0.140 0.008 0.492 0.208 0.004 0.148
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3375 0.7576 0.808 0.000 0.012 0.156 0.000 0.024
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 6 0.3320 0.7862 0.120 0.000 0.008 0.008 0.032 0.832
#> DF9D7119-111B-49A5-8D4D-B625631CC450 6 0.3074 0.7816 0.132 0.000 0.004 0.004 0.024 0.836
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.4219 0.4003 0.592 0.000 0.000 0.388 0.000 0.020
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1116 0.7619 0.960 0.000 0.028 0.008 0.000 0.004
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.3602 0.7652 0.796 0.000 0.000 0.088 0.000 0.116
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 6 0.3934 0.6918 0.000 0.000 0.020 0.008 0.256 0.716
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.2053 0.8051 0.108 0.000 0.000 0.888 0.000 0.004
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.2755 0.8013 0.120 0.000 0.012 0.856 0.000 0.012
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 6 0.3378 0.7871 0.056 0.000 0.008 0.016 0.076 0.844
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.2510 0.8047 0.056 0.000 0.024 0.896 0.004 0.020
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.4483 0.5677 0.284 0.000 0.016 0.668 0.000 0.032
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.5057 0.6825 0.132 0.000 0.016 0.688 0.004 0.160
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.1075 0.8574 0.000 0.048 0.000 0.000 0.952 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.4132 0.7662 0.776 0.000 0.020 0.108 0.000 0.096
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.2631 0.7684 0.180 0.000 0.820 0.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2068 0.8441 0.000 0.000 0.008 0.008 0.904 0.080
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.0405 0.8808 0.000 0.004 0.000 0.000 0.988 0.008
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 6 0.3182 0.7851 0.036 0.000 0.008 0.000 0.124 0.832
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3360 0.7267 0.264 0.000 0.732 0.004 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2051 0.7079 0.896 0.000 0.096 0.004 0.000 0.004
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.5207 0.5446 0.612 0.000 0.032 0.308 0.004 0.044
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0458 0.8799 0.000 0.000 0.000 0.000 0.984 0.016
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1812 0.8104 0.080 0.000 0.008 0.912 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 6 0.2416 0.7650 0.156 0.000 0.000 0.000 0.000 0.844
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.1572 0.8497 0.000 0.036 0.000 0.028 0.936 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0458 0.8799 0.000 0.000 0.000 0.000 0.984 0.016
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 6 0.3251 0.7855 0.040 0.000 0.008 0.000 0.124 0.828
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1732 0.7300 0.920 0.000 0.072 0.004 0.000 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0837 0.7648 0.972 0.000 0.020 0.004 0.000 0.004
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 6 0.6442 0.0301 0.124 0.000 0.016 0.400 0.028 0.432
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0951 0.7659 0.968 0.000 0.020 0.008 0.000 0.004
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.2520 0.6876 0.872 0.000 0.108 0.008 0.000 0.012
#> CA9D8784-2354-40CF-98D6-B54D0B780487 6 0.2553 0.7699 0.144 0.000 0.000 0.008 0.000 0.848
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.2053 0.8051 0.108 0.000 0.000 0.888 0.000 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 6 0.4666 0.6850 0.004 0.000 0.020 0.164 0.084 0.728
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.3342 0.7209 0.000 0.000 0.012 0.000 0.228 0.760
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0837 0.7767 0.972 0.000 0.004 0.020 0.000 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3213 0.7507 0.132 0.000 0.820 0.000 0.048 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 6 0.3374 0.7324 0.000 0.000 0.020 0.000 0.208 0.772
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2983 0.7740 0.832 0.000 0.000 0.136 0.000 0.032
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.0260 0.8794 0.000 0.008 0.000 0.000 0.992 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.7074 0.5303 0.148 0.008 0.520 0.180 0.004 0.140
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.5854 0.0205 0.000 0.000 0.020 0.116 0.476 0.388
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.3243 0.6784 0.004 0.000 0.008 0.780 0.208 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.0603 0.8764 0.000 0.016 0.000 0.000 0.980 0.004
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0260 0.9798 0.000 0.992 0.000 0.000 0.008 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3741 0.5666 0.672 0.000 0.008 0.000 0.000 0.320
#> 0E942B03-D2E5-475F-876A-AE092CB34303 6 0.4723 0.5876 0.004 0.000 0.040 0.008 0.320 0.628
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2752 0.7971 0.108 0.000 0.000 0.856 0.000 0.036
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.5745 0.4973 0.008 0.000 0.016 0.600 0.232 0.144
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.7584 0.4364 0.036 0.028 0.492 0.232 0.056 0.156
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.4469 0.6396 0.000 0.000 0.016 0.716 0.208 0.060
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 6 0.2662 0.7683 0.152 0.000 0.004 0.004 0.000 0.840
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.3672 0.5279 0.000 0.000 0.004 0.008 0.712 0.276
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0951 0.7659 0.968 0.000 0.020 0.008 0.000 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.2700 0.7655 0.156 0.000 0.004 0.004 0.000 0.836
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2545 0.7778 0.020 0.000 0.004 0.884 0.084 0.008
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2662 0.6542 0.840 0.000 0.152 0.004 0.000 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 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 0.867 0.917 0.966 0.4914 0.509 0.509
#> 3 3 0.674 0.806 0.873 0.3437 0.765 0.566
#> 4 4 0.691 0.658 0.856 0.1214 0.859 0.617
#> 5 5 0.799 0.752 0.883 0.0710 0.857 0.526
#> 6 6 0.744 0.624 0.786 0.0399 0.939 0.727
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.969 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.9710 0.313 0.600 0.400
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.969 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.969 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.3274 0.912 0.940 0.060
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.969 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.969 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.969 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.969 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.969 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.9323 0.489 0.348 0.652
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.956 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.8909 0.541 0.692 0.308
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.956 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.969 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.7299 0.736 0.796 0.204
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.969 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.969 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.956 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.0000 0.956 0.000 1.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.969 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0376 0.966 0.996 0.004
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.0000 0.956 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.969 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.969 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.956 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.969 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.9954 0.141 0.540 0.460
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.0000 0.956 0.000 1.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.969 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.969 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.969 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.0000 0.956 0.000 1.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.969 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.956 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.956 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.8499 0.606 0.724 0.276
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0672 0.962 0.992 0.008
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.956 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 2 0.9881 0.258 0.436 0.564
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.956 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.969 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.956 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.956 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.969 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.969 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.969 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.7219 0.742 0.800 0.200
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.969 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 2 0.7219 0.749 0.200 0.800
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.969 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.956 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.969 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.0000 0.956 0.000 1.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.969 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.7299 0.735 0.204 0.796
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.956 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.969 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.956 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 2 0.0000 0.956 0.000 1.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.969 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.956 0.000 1.000
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#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 2 0.0000 0.956 0.000 1.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.8207 0.653 0.256 0.744
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.969 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.956 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 2 0.0000 0.956 0.000 1.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.956 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.969 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.956 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.956 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.956 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.8555 0.608 0.720 0.280
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.1633 0.948 0.976 0.024
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.956 0.000 1.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.956 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 2 0.9552 0.423 0.376 0.624
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0376 0.966 0.996 0.004
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.956 0.000 1.000
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#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.969 1.000 0.000
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#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.2778 0.924 0.952 0.048
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#> AB004080-5726-47A9-A172-EA3640F63257 2 0.4815 0.860 0.104 0.896
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#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.969 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.969 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.969 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.969 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.969 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.969 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.956 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 2 0.1414 0.940 0.020 0.980
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.0000 0.956 0.000 1.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.956 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.969 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.969 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.969 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.969 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 2 0.7219 0.749 0.200 0.800
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.956 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.969 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.956 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 2 0.0000 0.956 0.000 1.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.969 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.969 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.969 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.0000 0.956 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.969 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0376 0.966 0.996 0.004
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.956 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.969 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.956 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.969 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.969 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.969 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.969 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.956 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.969 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.969 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 2 0.8267 0.646 0.260 0.740
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.969 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.7219 0.749 0.200 0.800
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.956 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.969 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.969 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.1633 0.948 0.976 0.024
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.969 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.969 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.969 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.969 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 2 0.0376 0.953 0.004 0.996
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.969 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.969 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.7139 0.748 0.804 0.196
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.969 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.969 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.969 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.956 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.969 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.6801 0.765 0.820 0.180
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.0000 0.956 0.000 1.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.956 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.7602 0.712 0.780 0.220
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.969 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.969 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.969 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.956 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.969 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.969 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.956 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.956 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.7528 0.718 0.784 0.216
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.969 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.969 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.969 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.969 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.969 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.969 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.969 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.0000 0.956 0.000 1.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 2 0.0000 0.956 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.969 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.956 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.0000 0.956 0.000 1.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.969 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.956 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.969 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.0000 0.956 0.000 1.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.956 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.956 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.956 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.969 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.0000 0.956 0.000 1.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.969 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 2 0.5737 0.830 0.136 0.864
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.956 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.0000 0.956 0.000 1.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.969 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.956 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.969 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.969 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.0000 0.956 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.969 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4062 0.8344 0.836 0.000 0.164
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.9457 -0.3513 0.428 0.180 0.392
#> 1562153C-AC2E-4094-A936-75CC580367A9 3 0.0000 0.8057 0.000 0.000 1.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1163 0.8004 0.972 0.000 0.028
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0892 0.7965 0.980 0.000 0.020
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5178 0.8381 0.744 0.000 0.256
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.0000 0.8057 0.000 0.000 1.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5591 0.8190 0.696 0.000 0.304
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.6286 0.5801 0.536 0.000 0.464
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6641 0.5893 0.544 0.008 0.448
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.6832 0.5092 0.376 0.604 0.020
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.5178 0.6943 0.256 0.744 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.1636 0.7859 0.964 0.016 0.020
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9321 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0892 0.7965 0.980 0.000 0.020
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.4504 0.7430 0.000 0.196 0.804
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0892 0.7965 0.980 0.000 0.020
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0892 0.7965 0.980 0.000 0.020
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9321 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.5363 0.6655 0.000 0.276 0.724
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1411 0.8037 0.964 0.000 0.036
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.1031 0.7951 0.024 0.000 0.976
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.2448 0.8649 0.000 0.924 0.076
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1529 0.8092 0.960 0.000 0.040
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1163 0.8004 0.972 0.000 0.028
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9321 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5138 0.8375 0.748 0.000 0.252
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.0892 0.8048 0.000 0.020 0.980
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.6126 0.5173 0.400 0.600 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.3192 0.7912 0.112 0.000 0.888
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.0000 0.8057 0.000 0.000 1.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.4887 0.7519 0.228 0.000 0.772
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.0000 0.9321 0.000 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2537 0.8180 0.920 0.000 0.080
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9321 0.000 1.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9321 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.1636 0.7859 0.964 0.016 0.020
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.5178 0.8381 0.744 0.000 0.256
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9321 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.2879 0.8089 0.052 0.024 0.924
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9321 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1163 0.8004 0.972 0.000 0.028
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9321 0.000 1.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9321 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 3 0.0747 0.8078 0.016 0.000 0.984
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.1031 0.7951 0.024 0.000 0.976
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.5178 0.7414 0.256 0.000 0.744
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5497 0.8111 0.708 0.000 0.292
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.0000 0.8057 0.000 0.000 1.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.6026 0.7478 0.244 0.024 0.732
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.6062 0.4042 0.384 0.000 0.616
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9321 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5733 0.8000 0.676 0.000 0.324
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.1129 0.9184 0.020 0.976 0.004
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.1163 0.8095 0.972 0.000 0.028
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.5731 0.6531 0.228 0.752 0.020
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9321 0.000 1.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.5178 0.8381 0.744 0.000 0.256
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9321 0.000 1.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.5363 0.6655 0.000 0.276 0.724
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0424 0.8018 0.992 0.000 0.008
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9321 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3752 0.8315 0.856 0.000 0.144
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.5363 0.6655 0.000 0.276 0.724
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.7510 0.7462 0.692 0.124 0.184
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.5178 0.7414 0.256 0.000 0.744
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9321 0.000 1.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.5363 0.6655 0.000 0.276 0.724
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9321 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.5178 0.8381 0.744 0.000 0.256
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.5178 0.6943 0.256 0.744 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9321 0.000 1.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0892 0.9204 0.020 0.980 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6986 0.7957 0.688 0.056 0.256
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.0000 0.8057 0.000 0.000 1.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.9321 0.000 1.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9321 0.000 1.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.5178 0.7414 0.256 0.000 0.744
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.1860 0.8008 0.052 0.000 0.948
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9321 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.5905 0.6538 0.352 0.000 0.648
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.4931 0.7503 0.232 0.000 0.768
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.5178 0.8381 0.744 0.000 0.256
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#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4504 0.8384 0.804 0.000 0.196
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9321 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.7970 1.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.4842 0.6962 0.000 0.776 0.224
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0892 0.9196 0.020 0.980 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9321 0.000 1.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9321 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 3 0.3619 0.6325 0.136 0.000 0.864
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.6067 0.7495 0.236 0.028 0.736
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.5178 0.8381 0.744 0.000 0.256
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.2414 0.8008 0.020 0.040 0.940
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.1529 0.9102 0.040 0.960 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.0892 0.9196 0.020 0.980 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 3 0.0000 0.8057 0.000 0.000 1.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.6062 0.4853 0.000 0.384 0.616
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1753 0.8076 0.952 0.000 0.048
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 3 0.0000 0.8057 0.000 0.000 1.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.4349 0.7884 0.020 0.852 0.128
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0892 0.7965 0.980 0.000 0.020
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.5427 0.32454 0.016 0.000 0.416 0.568
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.4888 0.15782 0.000 0.000 0.588 0.412
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.2281 0.73148 0.000 0.000 0.096 0.904
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.3610 0.70808 0.800 0.000 0.000 0.200
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.6620 0.45908 0.320 0.000 0.104 0.576
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.5696 0.21629 0.480 0.000 0.024 0.496
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.0779 0.75302 0.016 0.000 0.004 0.980
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0188 0.69806 0.000 0.004 0.996 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3266 0.62300 0.000 0.168 0.832 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.4746 0.39404 0.008 0.000 0.688 0.304
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1474 0.82885 0.948 0.052 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0469 0.85154 0.988 0.012 0.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.5112 0.07383 0.004 0.000 0.560 0.436
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4356 0.54069 0.708 0.000 0.000 0.292
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.3942 0.66984 0.236 0.764 0.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4948 0.29030 0.000 0.000 0.440 0.560
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 3 0.5028 0.18500 0.004 0.000 0.596 0.400
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4543 0.35209 0.000 0.000 0.676 0.324
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.2654 0.65714 0.000 0.108 0.888 0.004
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3649 0.70422 0.796 0.000 0.000 0.204
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.4677 0.52181 0.680 0.000 0.316 0.004
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.1302 0.87971 0.044 0.956 0.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.4972 0.25383 0.000 0.000 0.456 0.544
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.1262 0.84849 0.968 0.008 0.008 0.016
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.4804 0.23031 0.000 0.000 0.616 0.384
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.4916 0.29846 0.424 0.000 0.000 0.576
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.4817 0.39762 0.612 0.000 0.388 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0336 0.75318 0.008 0.000 0.000 0.992
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.4901 0.60549 0.108 0.000 0.112 0.780
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.5284 0.56206 0.264 0.000 0.040 0.696
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.5097 0.37412 0.000 0.568 0.004 0.428
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.3907 0.56157 0.000 0.000 0.232 0.768
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.4804 0.24308 0.000 0.384 0.000 0.616
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.1211 0.74269 0.000 0.000 0.040 0.960
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.5217 0.40001 0.012 0.000 0.380 0.608
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0188 0.85524 0.996 0.004 0.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6519 0.20913 0.020 0.040 0.548 0.392
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4304 0.58040 0.716 0.000 0.284 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.4304 0.45481 0.000 0.284 0.716 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4855 0.37486 0.000 0.600 0.400 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.5000 -0.13349 0.496 0.000 0.504 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4049 0.67087 0.780 0.000 0.212 0.008
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.4843 0.18873 0.396 0.000 0.604 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.1302 0.83469 0.956 0.000 0.044 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4925 0.05885 0.572 0.000 0.000 0.428
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 4 0.4933 0.53602 0.016 0.000 0.296 0.688
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.1389 0.83215 0.952 0.000 0.048 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0188 0.85571 0.996 0.004 0.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.5543 0.17214 0.020 0.000 0.556 0.424
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.5083 0.58746 0.036 0.000 0.248 0.716
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.4576 0.58750 0.012 0.000 0.260 0.728
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 3 0.5244 0.06775 0.008 0.000 0.556 0.436
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.2530 0.72310 0.000 0.000 0.112 0.888
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.3324 0.70655 0.012 0.000 0.136 0.852
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.3649 0.69429 0.796 0.204 0.000 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.3266 0.73667 0.832 0.000 0.000 0.168
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.1637 0.81621 0.940 0.000 0.000 0.060
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.4647 0.42219 0.008 0.000 0.704 0.288
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.4502 0.61358 0.016 0.000 0.236 0.748
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.3528 0.70257 0.808 0.000 0.192 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.4999 0.08784 0.508 0.000 0.000 0.492
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.4713 0.45582 0.640 0.000 0.360 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 4 0.6712 0.43006 0.344 0.000 0.104 0.552
#> 83867921-8D7C-41AE-9292-010EECA0C186 3 0.4917 0.33116 0.008 0.000 0.656 0.336
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.0469 0.75428 0.000 0.000 0.012 0.988
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.4992 0.10364 0.000 0.000 0.476 0.524
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 2 0.4277 0.63429 0.000 0.720 0.000 0.280
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 3 0.5383 0.00647 0.012 0.000 0.536 0.452
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 2 0.0817 0.89551 0.024 0.976 0.000 0.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 3 0.5168 -0.12477 0.004 0.000 0.504 0.492
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 4 0.5151 0.23179 0.004 0.000 0.464 0.532
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 3 0.7369 0.03088 0.160 0.000 0.432 0.408
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 2 0.5864 0.59162 0.072 0.664 0.000 0.264
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.1118 0.88412 0.000 0.964 0.036 0.000
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.1637 0.86322 0.060 0.940 0.000 0.000
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#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.3219 0.62476 0.000 0.164 0.836 0.000
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 3 0.4088 0.50795 0.004 0.000 0.764 0.232
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.4961 0.13964 0.000 0.000 0.552 0.448
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0188 0.85524 0.996 0.004 0.000 0.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.4222 0.47697 0.000 0.272 0.728 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.4989 0.04444 0.472 0.528 0.000 0.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.2647 0.75728 0.880 0.000 0.000 0.120
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 4 0.6602 0.42403 0.356 0.000 0.092 0.552
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 2 0.4697 0.48537 0.000 0.644 0.000 0.356
#> 9E9640CE-68E4-402B-87B4-805A425009B2 4 0.4804 0.59475 0.148 0.000 0.072 0.780
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.4483 0.45868 0.000 0.284 0.712 0.004
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.5543 0.17214 0.020 0.000 0.556 0.424
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.0707 0.69326 0.000 0.020 0.980 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 4 0.2918 0.71909 0.008 0.000 0.116 0.876
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 2 0.4585 0.55679 0.000 0.668 0.000 0.332
#> 67097304-E22B-41D7-803C-B6F522DA4390 4 0.7115 0.30327 0.420 0.000 0.128 0.452
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.5545 0.55854 0.076 0.180 0.736 0.008
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.2345 0.72781 0.000 0.000 0.100 0.900
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0188 0.85520 0.996 0.000 0.000 0.004
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.1211 0.88278 0.040 0.960 0.000 0.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.1867 0.66526 0.000 0.000 0.928 0.072
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 2 0.4985 0.28864 0.000 0.532 0.000 0.468
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.4364 0.63117 0.016 0.000 0.220 0.764
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 4 0.3958 0.69402 0.032 0.000 0.144 0.824
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 3 0.5070 0.13821 0.004 0.000 0.580 0.416
#> D336B440-AEFF-428A-B92D-A4315400B199 2 0.7609 0.18333 0.000 0.476 0.252 0.272
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.1022 0.74378 0.032 0.000 0.000 0.968
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 4 0.2281 0.73567 0.000 0.000 0.096 0.904
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.1118 0.84113 0.964 0.000 0.000 0.036
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.2814 0.64295 0.000 0.132 0.868 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.6153 0.33994 0.528 0.012 0.028 0.432
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.5155 0.22103 0.004 0.000 0.468 0.528
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.4907 0.13248 0.000 0.000 0.580 0.420
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.5155 0.22103 0.004 0.000 0.468 0.528
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.5487 0.35127 0.580 0.020 0.400 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0188 0.85524 0.996 0.004 0.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.0336 0.75430 0.008 0.000 0.000 0.992
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4331 0.58426 0.712 0.288 0.000 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.5543 0.17214 0.020 0.000 0.556 0.424
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.1867 0.72413 0.072 0.000 0.000 0.928
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3356 0.63100 0.000 0.000 0.176 0.824
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.3123 0.59469 0.000 0.000 0.844 0.156
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.4967 0.26455 0.000 0.000 0.452 0.548
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.5125 0.21251 0.008 0.000 0.604 0.388
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.5332 0.67175 0.736 0.184 0.000 0.080
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.4594 0.43545 0.008 0.000 0.712 0.280
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.3123 0.63097 0.000 0.156 0.844 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.5112 0.28620 0.000 0.560 0.436 0.004
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.1211 0.68255 0.000 0.000 0.960 0.040
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.2589 0.72123 0.000 0.000 0.116 0.884
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.5155 0.22103 0.004 0.000 0.468 0.528
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.4237 0.68403 0.040 0.000 0.152 0.808
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.1940 0.72207 0.076 0.000 0.000 0.924
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.3447 0.70948 0.020 0.000 0.128 0.852
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.4992 0.07092 0.476 0.524 0.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.69897 0.000 0.000 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.5039 0.17305 0.004 0.000 0.592 0.404
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.1792 0.74118 0.000 0.000 0.068 0.932
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.5000 -0.13021 0.000 0.000 0.504 0.496
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4989 0.21440 0.000 0.000 0.472 0.528
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.4713 0.44686 0.360 0.000 0.000 0.640
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.4981 0.23601 0.000 0.000 0.464 0.536
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.5150 0.19166 0.008 0.000 0.596 0.396
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0188 0.85524 0.996 0.004 0.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.4991 0.39339 0.004 0.000 0.388 0.608
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3123 0.62974 0.000 0.156 0.844 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.2647 0.78413 0.880 0.000 0.120 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.3942 0.62328 0.000 0.000 0.236 0.764
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0336 0.69631 0.000 0.000 0.992 0.008
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.4819 0.47630 0.344 0.652 0.000 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.2868 0.79637 0.000 0.864 0.000 0.136
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.91285 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.5337 0.03935 0.564 0.000 0.012 0.424
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.5099 0.41001 0.612 0.008 0.380 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0000 0.75544 0.000 0.000 0.000 1.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.5590 -0.12811 0.456 0.020 0.000 0.524
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.5137 0.24813 0.000 0.544 0.452 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.3726 0.71501 0.000 0.788 0.000 0.212
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.4961 0.21771 0.552 0.448 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.5155 0.22103 0.004 0.000 0.468 0.528
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.85692 1.000 0.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4994 -0.15425 0.000 0.480 0.000 0.520
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.4677 0.37381 0.004 0.000 0.680 0.316
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.84808 1.000 0.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.0794 0.80375 0.028 0.000 0.000 0.000 0.972
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3336 0.71956 0.772 0.000 0.228 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0510 0.84653 0.984 0.000 0.000 0.016 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.4166 0.52330 0.348 0.000 0.000 0.004 0.648
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1197 0.83609 0.952 0.000 0.000 0.000 0.048
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3838 0.57942 0.716 0.000 0.000 0.004 0.280
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0162 0.84812 0.996 0.000 0.000 0.004 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.0451 0.82433 0.000 0.008 0.988 0.000 0.004
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4161 0.48701 0.608 0.000 0.392 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.4496 0.66980 0.216 0.056 0.000 0.000 0.728
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0609 0.82032 0.020 0.000 0.980 0.000 0.000
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#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.3876 0.53119 0.000 0.316 0.000 0.000 0.684
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 5 0.4249 0.17427 0.432 0.000 0.000 0.000 0.568
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 5 0.0981 0.80492 0.012 0.000 0.008 0.008 0.972
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.5718 0.13852 0.496 0.000 0.000 0.084 0.420
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.1544 0.82981 0.000 0.068 0.000 0.932 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.5556 0.25391 0.572 0.000 0.012 0.364 0.052
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0290 0.84786 0.992 0.000 0.000 0.008 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.4624 0.67368 0.000 0.096 0.752 0.148 0.004
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.5948 0.46839 0.096 0.004 0.592 0.300 0.008
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0162 0.96812 0.000 0.996 0.000 0.004 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.84808 1.000 0.000 0.000 0.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.0000 0.86531 0.000 0.000 0.000 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.1478 0.82832 0.936 0.000 0.000 0.000 0.064
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.4598 0.58039 0.004 0.016 0.704 0.264 0.012
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0404 0.96526 0.000 0.988 0.000 0.000 0.012
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0510 0.84643 0.984 0.000 0.000 0.016 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.0510 0.80288 0.000 0.000 0.000 0.016 0.984
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.1768 0.91125 0.000 0.924 0.000 0.004 0.072
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.4161 0.28666 0.000 0.000 0.608 0.392 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.0451 0.86724 0.008 0.004 0.000 0.988 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.0510 0.86795 0.016 0.000 0.000 0.984 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.84808 1.000 0.000 0.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.84808 1.000 0.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0162 0.96820 0.000 0.996 0.000 0.004 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1851 0.82849 0.912 0.000 0.088 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 4 0.3747 0.72210 0.016 0.004 0.148 0.816 0.016
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.0693 0.80598 0.012 0.000 0.000 0.008 0.980
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.0162 0.86554 0.000 0.000 0.000 0.996 0.004
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 5 0.2732 0.71683 0.160 0.000 0.000 0.000 0.840
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0510 0.84724 0.984 0.000 0.000 0.016 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 5 0.0898 0.80582 0.020 0.000 0.000 0.008 0.972
#> 46859620-8B87-4425-835F-7960023E4B07 5 0.4101 0.47473 0.372 0.000 0.000 0.000 0.628
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.2824 0.82003 0.028 0.000 0.068 0.888 0.016
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.0671 0.96203 0.000 0.980 0.000 0.004 0.016
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0703 0.86657 0.024 0.000 0.000 0.976 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1410 0.84019 0.940 0.000 0.060 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.6268 0.39136 0.232 0.000 0.540 0.228 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1270 0.84278 0.948 0.000 0.052 0.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.4565 0.34777 0.000 0.012 0.408 0.000 0.580
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0162 0.96853 0.000 0.996 0.000 0.000 0.004
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.1270 0.85965 0.052 0.000 0.000 0.948 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0162 0.96853 0.000 0.996 0.000 0.000 0.004
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.0000 0.80458 0.000 0.000 0.000 0.000 1.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0162 0.84777 0.996 0.000 0.000 0.004 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0880 0.86148 0.032 0.000 0.000 0.968 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.1851 0.77204 0.088 0.000 0.912 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.3003 0.67911 0.000 0.188 0.000 0.000 0.812
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.5815 0.46424 0.096 0.000 0.592 0.304 0.008
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.4227 0.51267 0.292 0.000 0.000 0.692 0.016
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0404 0.96526 0.000 0.988 0.000 0.000 0.012
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.2690 0.73472 0.000 0.000 0.156 0.844 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0404 0.86781 0.012 0.000 0.000 0.988 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.1965 0.83128 0.096 0.000 0.000 0.904 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.3612 0.47999 0.268 0.000 0.732 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1270 0.84275 0.948 0.000 0.052 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0162 0.96820 0.000 0.996 0.000 0.004 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.0510 0.80615 0.016 0.000 0.000 0.000 0.984
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.4060 0.54527 0.640 0.000 0.360 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.4636 0.66472 0.016 0.168 0.000 0.060 0.756
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.3983 0.57804 0.660 0.000 0.340 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.5987 0.45748 0.000 0.156 0.572 0.272 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.4194 0.69739 0.088 0.000 0.780 0.132 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0404 0.84718 0.988 0.000 0.000 0.012 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.0693 0.80598 0.012 0.000 0.000 0.008 0.980
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.0693 0.80598 0.012 0.000 0.000 0.008 0.980
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2732 0.72410 0.840 0.000 0.000 0.160 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1608 0.83588 0.928 0.000 0.072 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.84808 1.000 0.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.0000 0.80458 0.000 0.000 0.000 0.000 1.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1270 0.85965 0.052 0.000 0.000 0.948 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.1043 0.86514 0.040 0.000 0.000 0.960 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.0510 0.80615 0.016 0.000 0.000 0.000 0.984
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0404 0.86715 0.012 0.000 0.000 0.988 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4278 0.10275 0.548 0.000 0.000 0.452 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.2193 0.83480 0.060 0.000 0.000 0.912 0.028
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1082 0.84350 0.964 0.000 0.000 0.028 0.008
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.3550 0.62747 0.000 0.236 0.000 0.004 0.760
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0162 0.96853 0.000 0.996 0.000 0.000 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.0510 0.80615 0.016 0.000 0.000 0.000 0.984
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3508 0.69211 0.748 0.000 0.252 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3109 0.73099 0.800 0.000 0.000 0.200 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0404 0.96526 0.000 0.988 0.000 0.000 0.012
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0510 0.86795 0.016 0.000 0.000 0.984 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.3123 0.69038 0.184 0.000 0.000 0.004 0.812
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0404 0.96526 0.000 0.988 0.000 0.000 0.012
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.0404 0.80598 0.012 0.000 0.000 0.000 0.988
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3242 0.73043 0.784 0.000 0.216 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1851 0.82849 0.912 0.000 0.088 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.6781 0.12750 0.320 0.000 0.000 0.388 0.292
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1792 0.83040 0.916 0.000 0.084 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.3895 0.60813 0.680 0.000 0.320 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.0798 0.80608 0.016 0.000 0.000 0.008 0.976
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0794 0.86627 0.028 0.000 0.000 0.972 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.2233 0.77018 0.000 0.016 0.000 0.080 0.904
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.0000 0.80458 0.000 0.000 0.000 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0404 0.84791 0.988 0.000 0.012 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.82810 0.000 0.000 1.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3990 0.53094 0.000 0.000 0.308 0.004 0.688
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0451 0.84826 0.988 0.000 0.008 0.004 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0162 0.96853 0.000 0.996 0.000 0.000 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0510 0.82319 0.000 0.000 0.984 0.016 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.6317 0.23335 0.000 0.496 0.000 0.172 0.332
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.2179 0.78943 0.000 0.112 0.000 0.888 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.96929 0.000 1.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0162 0.96820 0.000 0.996 0.000 0.004 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3074 0.72161 0.804 0.000 0.000 0.000 0.196
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4150 0.40351 0.000 0.000 0.388 0.000 0.612
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2516 0.79449 0.140 0.000 0.000 0.860 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.1741 0.85566 0.024 0.000 0.000 0.936 0.040
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.5964 0.47533 0.000 0.136 0.588 0.272 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0579 0.86476 0.000 0.008 0.000 0.984 0.008
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.0771 0.80598 0.020 0.000 0.000 0.004 0.976
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4294 0.16779 0.000 0.468 0.000 0.000 0.532
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1410 0.84019 0.940 0.000 0.060 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.0898 0.80582 0.020 0.000 0.000 0.008 0.972
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0794 0.86627 0.028 0.000 0.000 0.972 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3966 0.58421 0.664 0.000 0.336 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0405 0.816029 0.988 0.000 0.004 0.000 0.000 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3738 -0.167190 0.016 0.000 0.280 0.000 0.704 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 6 0.1410 0.763964 0.044 0.000 0.004 0.000 0.008 0.944
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3746 0.696274 0.760 0.000 0.048 0.000 0.192 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3804 0.728602 0.000 0.000 0.576 0.000 0.424 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0777 0.813811 0.972 0.000 0.000 0.024 0.000 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6551 -0.062972 0.436 0.000 0.000 0.060 0.140 0.364
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3532 0.707104 0.796 0.000 0.064 0.000 0.000 0.140
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 6 0.4464 0.288874 0.416 0.000 0.016 0.004 0.004 0.560
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1772 0.806398 0.936 0.000 0.028 0.008 0.008 0.020
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.3874 -0.384360 0.008 0.000 0.356 0.000 0.636 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3810 0.725893 0.000 0.000 0.572 0.000 0.428 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3955 0.721934 0.004 0.000 0.560 0.000 0.436 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0146 0.844894 0.000 0.996 0.000 0.000 0.004 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4892 0.324633 0.500 0.000 0.060 0.000 0.440 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.4812 0.593631 0.236 0.020 0.032 0.000 0.020 0.692
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4051 0.721369 0.008 0.000 0.560 0.000 0.432 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4051 0.721369 0.008 0.000 0.560 0.000 0.432 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0146 0.844894 0.000 0.996 0.000 0.000 0.004 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 6 0.3871 0.470820 0.000 0.000 0.016 0.000 0.308 0.676
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4232 0.700868 0.736 0.000 0.116 0.000 0.148 0.000
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#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.1418 0.761357 0.024 0.000 0.000 0.000 0.032 0.944
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0717 0.833600 0.008 0.000 0.000 0.976 0.016 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4607 0.521561 0.616 0.000 0.056 0.000 0.328 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 18099 rows and 453 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 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 0.874 0.933 0.967 0.3749 0.634 0.634
#> 3 3 0.496 0.753 0.862 0.4405 0.663 0.521
#> 4 4 0.516 0.599 0.804 0.1328 0.821 0.642
#> 5 5 0.493 0.466 0.740 0.1185 0.870 0.695
#> 6 6 0.506 0.514 0.713 0.0706 0.868 0.648
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9671 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1843 0.9577 0.972 0.028
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9671 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9671 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.9671 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9671 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.2236 0.9545 0.964 0.036
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9671 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9671 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.2236 0.9545 0.964 0.036
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.2236 0.9545 0.964 0.036
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0000 0.9671 1.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.1414 0.9607 0.980 0.020
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9580 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9671 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.7815 0.7248 0.768 0.232
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.2236 0.9545 0.964 0.036
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9671 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9580 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.9881 0.2509 0.564 0.436
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9671 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9671 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.6973 0.7901 0.812 0.188
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9671 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9671 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9580 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9671 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9671 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9671 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.2236 0.9545 0.964 0.036
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.2236 0.9545 0.964 0.036
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.2236 0.9545 0.964 0.036
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.2236 0.9545 0.964 0.036
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9671 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9580 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9580 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0000 0.9671 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9671 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9580 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2236 0.9545 0.964 0.036
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9580 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9671 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9580 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9580 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9671 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9671 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9671 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0938 0.9635 0.988 0.012
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.2236 0.9545 0.964 0.036
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.2236 0.9545 0.964 0.036
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9671 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9580 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.2236 0.9545 0.964 0.036
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.2236 0.9545 0.964 0.036
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9671 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.2603 0.9382 0.956 0.044
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9580 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9671 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9580 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.8144 0.6921 0.748 0.252
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9671 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9580 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2236 0.9545 0.964 0.036
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2236 0.9545 0.964 0.036
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.0000 0.9671 1.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9671 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.7815 0.7224 0.768 0.232
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.8016 0.7055 0.756 0.244
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9580 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9671 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.8081 0.6882 0.752 0.248
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9580 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.7745 0.7086 0.228 0.772
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.7815 0.7249 0.768 0.232
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9671 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.6438 0.8164 0.164 0.836
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9580 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.9671 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9671 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9580 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.2236 0.9545 0.964 0.036
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.2236 0.9545 0.964 0.036
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9671 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.2236 0.9545 0.964 0.036
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9671 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.0000 0.9671 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.2236 0.9545 0.964 0.036
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.7883 0.7185 0.764 0.236
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.0000 0.9671 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.9671 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.9671 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9671 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9671 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9671 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9671 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9671 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9671 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9671 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9580 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9580 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9580 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.9580 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9671 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.9671 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9671 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 2 0.6712 0.8004 0.176 0.824
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0938 0.9615 0.988 0.012
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9580 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0376 0.9660 0.996 0.004
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9671 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.9671 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9580 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0376 0.9660 0.996 0.004
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9671 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.2236 0.9545 0.964 0.036
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9580 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9580 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.9671 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.2236 0.9545 0.964 0.036
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.9671 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.9671 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9671 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.9671 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.8499 0.6492 0.724 0.276
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9671 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.2236 0.9545 0.964 0.036
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.9671 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9580 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.9671 1.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.9671 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9580 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.1414 0.9608 0.980 0.020
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9580 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.9580 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.9671 1.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.2236 0.9545 0.964 0.036
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.2236 0.9545 0.964 0.036
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#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.9671 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.9671 1.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9580 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.9671 1.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.5629 0.8433 0.868 0.132
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.2236 0.9545 0.964 0.036
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9671 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.0000 0.9671 1.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.0000 0.9671 1.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.0000 0.9671 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.9983 0.1086 0.524 0.476
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9671 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.7883 0.7185 0.764 0.236
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.9671 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.0672 0.9648 0.992 0.008
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0000 0.9580 0.000 1.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9671 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.2236 0.9545 0.964 0.036
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.6438 0.8164 0.164 0.836
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.9671 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 2 0.7376 0.7542 0.208 0.792
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.2236 0.9545 0.964 0.036
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.2236 0.9545 0.964 0.036
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.2236 0.9545 0.964 0.036
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9580 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.9671 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.2236 0.9545 0.964 0.036
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.2236 0.9545 0.964 0.036
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9671 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.2236 0.9545 0.964 0.036
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9671 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.9671 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.2236 0.9545 0.964 0.036
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.2236 0.9545 0.964 0.036
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.2236 0.9545 0.964 0.036
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.5629 0.8617 0.868 0.132
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9580 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9671 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9671 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9671 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9671 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.2236 0.9545 0.964 0.036
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9580 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9671 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9580 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.2236 0.9545 0.964 0.036
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.2236 0.9545 0.964 0.036
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9671 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9671 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.5737 0.8456 0.136 0.864
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9671 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9671 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9580 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9671 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9580 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9671 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9671 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9671 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9671 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9580 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.2236 0.9545 0.964 0.036
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9671 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.8267 0.6782 0.740 0.260
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9671 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.2236 0.9545 0.964 0.036
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.9833 0.3164 0.576 0.424
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9671 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9671 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9671 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9671 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9671 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9671 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.2236 0.9545 0.964 0.036
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.3431 0.9327 0.936 0.064
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9671 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9671 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2236 0.9545 0.964 0.036
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9671 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9671 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0938 0.9635 0.988 0.012
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9580 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9671 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9671 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.9944 0.1860 0.544 0.456
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9580 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.2236 0.9545 0.964 0.036
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9671 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9671 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9671 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9580 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9671 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9671 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9580 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9580 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2236 0.9545 0.964 0.036
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9671 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9671 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9671 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9671 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9671 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0672 0.9648 0.992 0.008
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9671 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0376 0.9655 0.996 0.004
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.5946 0.8475 0.856 0.144
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9671 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.1414 0.9607 0.980 0.020
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9671 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2236 0.9545 0.964 0.036
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9580 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9671 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9671 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.5178 0.8605 0.116 0.884
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 1.0000 -0.0422 0.496 0.504
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9580 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9671 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.2236 0.9545 0.964 0.036
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9671 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2423 0.9520 0.960 0.040
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.2043 0.9561 0.968 0.032
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2236 0.9545 0.964 0.036
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9671 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.9580 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9671 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9671 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.2423 0.9520 0.960 0.040
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9671 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9242 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2625 0.8478 0.916 0.000 0.084
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9242 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9242 1.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.9242 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1289 0.9096 0.968 0.000 0.032
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.4654 0.6984 0.208 0.000 0.792
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4062 0.7983 0.836 0.000 0.164
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4062 0.7983 0.836 0.000 0.164
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.5138 0.6982 0.252 0.000 0.748
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.4654 0.6379 0.792 0.000 0.208
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0000 0.9242 1.000 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.4399 0.7191 0.812 0.000 0.188
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6274 0.4185 0.000 0.544 0.456
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1163 0.9118 0.972 0.000 0.028
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.4834 0.6986 0.204 0.004 0.792
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5560 0.4529 0.700 0.000 0.300
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.1289 0.9096 0.968 0.000 0.032
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.4555 0.5247 0.000 0.200 0.800
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.1711 0.5948 0.008 0.032 0.960
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9242 1.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4121 0.7958 0.832 0.000 0.168
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.6341 0.6310 0.312 0.016 0.672
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9242 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9242 1.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.4555 0.5247 0.000 0.200 0.800
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1289 0.9096 0.968 0.000 0.032
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4062 0.7983 0.836 0.000 0.164
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9242 1.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.5016 0.6953 0.240 0.000 0.760
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.4702 0.6975 0.212 0.000 0.788
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.6008 0.6275 0.372 0.000 0.628
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.5327 0.6951 0.272 0.000 0.728
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9242 1.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.4555 0.5247 0.000 0.200 0.800
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 3 0.5216 0.4334 0.000 0.260 0.740
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0000 0.9242 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0237 0.9228 0.996 0.000 0.004
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.5733 0.2978 0.000 0.324 0.676
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4504 0.6635 0.804 0.000 0.196
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8674 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9242 1.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4555 0.5247 0.000 0.200 0.800
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8674 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.3192 0.8493 0.888 0.000 0.112
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.2878 0.8646 0.904 0.000 0.096
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9242 1.000 0.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4291 0.7848 0.820 0.000 0.180
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.5016 0.6953 0.240 0.000 0.760
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.5835 0.6693 0.340 0.000 0.660
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9242 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8674 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 3 0.5678 0.5985 0.316 0.000 0.684
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.5988 0.6306 0.368 0.000 0.632
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#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.3686 0.8276 0.860 0.000 0.140
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.5291 0.4214 0.000 0.268 0.732
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9242 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9242 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.4677 0.6751 0.132 0.028 0.840
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.4504 0.5269 0.000 0.196 0.804
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.4654 0.6984 0.208 0.000 0.792
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9242 1.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9242 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9242 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.4346 0.5381 0.000 0.184 0.816
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.1411 0.9081 0.964 0.000 0.036
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4062 0.7983 0.836 0.000 0.164
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.4504 0.5269 0.000 0.196 0.804
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.4452 0.5320 0.000 0.192 0.808
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.5016 0.6953 0.240 0.000 0.760
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9242 1.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9242 1.000 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9242 1.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9242 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9242 1.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.4291 0.7831 0.820 0.000 0.180
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.1411 0.9081 0.964 0.000 0.036
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.4121 0.7958 0.832 0.000 0.168
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.5551 0.6992 0.224 0.016 0.760
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9242 1.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.2711 0.8424 0.912 0.000 0.088
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9242 1.000 0.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.6045 0.6164 0.380 0.000 0.620
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.4555 0.5247 0.000 0.200 0.800
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9242 1.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0237 0.9228 0.996 0.000 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.4293 0.5432 0.004 0.164 0.832
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.7437 0.6136 0.108 0.200 0.692
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8674 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3267 0.8456 0.884 0.000 0.116
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.6154 0.5981 0.408 0.000 0.592
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1289 0.9096 0.968 0.000 0.032
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.4605 0.6980 0.204 0.000 0.796
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.2878 0.8324 0.904 0.000 0.096
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.6126 0.6084 0.400 0.000 0.600
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9242 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.2356 0.5796 0.000 0.072 0.928
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9242 1.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3686 0.8230 0.860 0.000 0.140
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.4605 0.6980 0.204 0.000 0.796
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9242 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1209 0.83535 0.964 0.032 0.004 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3610 0.66581 0.800 0.000 0.200 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0592 0.83849 0.984 0.016 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.2647 0.78671 0.880 0.120 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1833 0.82827 0.944 0.024 0.032 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.0657 0.54166 0.004 0.012 0.984 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5723 0.28784 0.580 0.032 0.388 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3172 0.71659 0.840 0.000 0.160 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.4872 0.51231 0.244 0.028 0.728 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3649 0.62445 0.796 0.000 0.204 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.2647 0.78671 0.880 0.120 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.4879 0.71251 0.780 0.128 0.092 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6885 0.53370 0.000 0.588 0.164 0.248
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1733 0.83033 0.948 0.024 0.028 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.0817 0.54062 0.000 0.024 0.976 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5228 0.50700 0.696 0.036 0.268 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.3958 0.76391 0.824 0.144 0.032 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.5050 0.75208 0.000 0.588 0.408 0.004
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.1022 0.52219 0.000 0.032 0.968 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.5000 0.04502 0.504 0.000 0.496 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.5440 0.42682 0.384 0.020 0.596 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0707 0.83860 0.980 0.020 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5172 0.75178 0.000 0.588 0.404 0.008
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.3638 0.77482 0.848 0.120 0.032 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4999 0.05355 0.508 0.000 0.492 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.1706 0.55562 0.036 0.016 0.948 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.0804 0.54513 0.008 0.012 0.980 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.4426 0.49569 0.204 0.024 0.772 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.3569 0.53134 0.196 0.000 0.804 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.5119 0.72348 0.000 0.556 0.440 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5699 0.74444 0.000 0.588 0.380 0.032
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.2647 0.78671 0.880 0.120 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0376 0.83899 0.992 0.004 0.004 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.6014 0.73584 0.000 0.588 0.360 0.052
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3569 0.64130 0.804 0.000 0.196 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0592 0.83849 0.984 0.016 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.5050 0.75208 0.000 0.588 0.408 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.5466 0.16358 0.548 0.016 0.436 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.3160 0.76848 0.872 0.020 0.108 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0592 0.83658 0.984 0.000 0.016 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5271 0.41205 0.640 0.020 0.340 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.1798 0.55673 0.040 0.016 0.944 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.4193 0.49874 0.268 0.000 0.732 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 3 0.1913 0.54548 0.020 0.040 0.940 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.5231 0.39660 0.384 0.012 0.604 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0188 0.83901 0.996 0.004 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4050 0.72014 0.808 0.000 0.024 0.168
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.5172 0.75177 0.000 0.588 0.404 0.008
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0188 0.83878 0.996 0.000 0.004 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.5143 0.70311 0.000 0.540 0.456 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.0188 0.53693 0.000 0.004 0.996 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1256 0.83189 0.964 0.008 0.028 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.6005 -0.10719 0.500 0.040 0.460 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.3356 0.54151 0.176 0.000 0.824 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.7164 0.40194 0.572 0.248 0.004 0.176
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.3224 0.74153 0.864 0.016 0.120 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.7661 -0.18212 0.464 0.192 0.340 0.004
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.1474 0.52462 0.000 0.052 0.948 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 4 0.4843 0.34031 0.000 0.396 0.000 0.604
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.1452 0.82926 0.956 0.008 0.036 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.6945 0.14709 0.552 0.136 0.312 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.5273 0.70433 0.000 0.536 0.456 0.008
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 4 0.1211 0.93264 0.000 0.040 0.000 0.960
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.4722 0.45235 0.300 0.008 0.692 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.5506 0.02400 0.472 0.016 0.512 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.4907 0.74343 0.000 0.580 0.420 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.5050 0.75208 0.000 0.588 0.408 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.2589 0.75589 0.884 0.000 0.116 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.4992 -0.14430 0.524 0.000 0.476 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.2142 0.55832 0.056 0.016 0.928 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0376 0.83899 0.992 0.004 0.004 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 3 0.5558 0.37860 0.324 0.036 0.640 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2021 0.82742 0.936 0.024 0.040 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.2647 0.78671 0.880 0.120 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 3 0.1820 0.55720 0.036 0.020 0.944 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.0000 0.53825 0.000 0.000 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.3749 0.76831 0.840 0.128 0.032 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.2589 0.78935 0.884 0.116 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.4040 0.65104 0.752 0.248 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.83862 1.000 0.000 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2335 0.81443 0.920 0.020 0.060 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1022 0.83619 0.968 0.032 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.5459 0.19327 0.552 0.016 0.432 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.5040 0.34439 0.628 0.008 0.364 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1022 0.83619 0.968 0.032 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0592 0.83849 0.984 0.016 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.4888 0.17352 0.000 0.588 0.000 0.412
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.4888 0.17352 0.000 0.588 0.000 0.412
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.5050 0.75208 0.000 0.588 0.408 0.004
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0592 0.83849 0.984 0.016 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.2125 0.80374 0.920 0.004 0.076 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.3117 0.79472 0.880 0.028 0.092 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.3123 0.38819 0.000 0.156 0.844 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4843 0.35364 0.604 0.000 0.396 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.5050 0.75208 0.000 0.588 0.408 0.004
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 3 0.5506 0.02617 0.472 0.016 0.512 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.2313 0.82457 0.924 0.044 0.032 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0188 0.83891 0.996 0.004 0.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 4 0.0000 0.96283 0.000 0.000 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.1635 0.82976 0.948 0.008 0.044 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.1356 0.83011 0.960 0.008 0.032 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 3 0.3367 0.54053 0.108 0.028 0.864 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.4888 0.17352 0.000 0.588 0.000 0.412
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#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1356 0.83011 0.960 0.008 0.032 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.0921 0.54111 0.000 0.028 0.972 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.5753 0.55693 0.680 0.248 0.072 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.5143 -0.08372 0.540 0.004 0.456 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1182 0.83298 0.968 0.016 0.016 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.1867 0.48258 0.000 0.072 0.928 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0592 0.83849 0.984 0.016 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5497 0.10764 0.524 0.016 0.460 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.4594 0.46670 0.280 0.008 0.712 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0592 0.83849 0.984 0.016 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1697 0.746912 0.932 0.000 0.000 0.060 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2286 0.700080 0.888 0.004 0.000 0.000 0.108
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0703 0.752947 0.976 0.000 0.000 0.024 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4196 0.511723 0.640 0.000 0.356 0.004 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3336 0.627882 0.772 0.000 0.000 0.228 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.4138 -0.102221 0.000 0.000 0.000 0.384 0.616
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 5 0.5408 0.076546 0.408 0.000 0.000 0.060 0.532
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3109 0.631749 0.800 0.000 0.000 0.000 0.200
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.5301 0.230971 0.148 0.000 0.000 0.176 0.676
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3109 0.579220 0.800 0.000 0.000 0.000 0.200
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.4196 0.511723 0.640 0.000 0.356 0.004 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6972 0.264712 0.436 0.000 0.356 0.188 0.020
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.2179 0.492914 0.000 0.888 0.000 0.000 0.112
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3039 0.656891 0.808 0.000 0.000 0.192 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.0703 0.482730 0.000 0.000 0.000 0.024 0.976
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6517 0.264313 0.548 0.000 0.012 0.220 0.220
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.6598 0.278265 0.428 0.000 0.356 0.216 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.0162 0.479914 0.004 0.000 0.000 0.000 0.996
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 5 0.4287 0.026101 0.460 0.000 0.000 0.000 0.540
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.5796 0.126684 0.284 0.000 0.000 0.128 0.588
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2230 0.716848 0.884 0.000 0.000 0.116 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5635 0.532249 0.636 0.000 0.168 0.196 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4294 0.162830 0.532 0.000 0.000 0.000 0.468
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.0703 0.482730 0.000 0.000 0.000 0.024 0.976
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.3333 0.290716 0.004 0.000 0.000 0.208 0.788
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.4558 0.256592 0.060 0.000 0.000 0.216 0.724
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.5085 -0.016427 0.040 0.004 0.000 0.344 0.612
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4242 0.677707 0.000 0.572 0.000 0.000 0.428
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4015 0.710894 0.000 0.652 0.000 0.000 0.348
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4196 0.511723 0.640 0.000 0.356 0.004 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.2127 0.707463 0.892 0.000 0.000 0.108 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3932 0.704090 0.000 0.672 0.000 0.000 0.328
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3109 0.586311 0.800 0.000 0.000 0.000 0.200
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0703 0.752947 0.976 0.000 0.000 0.024 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> CA133880-2EEC-43AF-8851-C459301358E2 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4890 0.137382 0.524 0.000 0.000 0.024 0.452
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.4657 0.601386 0.740 0.000 0.000 0.152 0.108
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0404 0.753062 0.988 0.000 0.000 0.000 0.012
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.6657 -0.041121 0.416 0.000 0.000 0.352 0.232
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.0703 0.482730 0.000 0.000 0.000 0.024 0.976
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.4066 0.221764 0.324 0.004 0.000 0.000 0.672
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0290 0.753536 0.992 0.000 0.000 0.008 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 5 0.2110 0.462936 0.016 0.000 0.000 0.072 0.912
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4415 0.464152 0.000 0.004 0.000 0.552 0.444
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2377 0.690818 0.872 0.000 0.000 0.128 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.5267 0.577872 0.716 0.000 0.156 0.108 0.020
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4138 0.718717 0.000 0.616 0.000 0.000 0.384
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1341 0.739883 0.944 0.000 0.000 0.056 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.6482 -0.160041 0.000 0.188 0.000 0.372 0.440
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.0000 0.480004 0.000 0.000 0.000 0.000 1.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.2516 0.685440 0.860 0.000 0.000 0.140 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 5 0.6779 -0.100111 0.300 0.000 0.000 0.308 0.392
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.2690 0.383878 0.156 0.000 0.000 0.000 0.844
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.6618 0.044302 0.396 0.000 0.216 0.388 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.1493 0.745475 0.948 0.000 0.000 0.024 0.028
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.7812 -0.228329 0.388 0.200 0.000 0.080 0.332
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.0703 0.482730 0.000 0.000 0.000 0.024 0.976
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.3143 -0.291760 0.000 0.796 0.204 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4030 0.410822 0.648 0.000 0.000 0.352 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.6082 0.404842 0.552 0.020 0.356 0.004 0.068
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.6564 -0.329281 0.000 0.344 0.000 0.212 0.444
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.2179 0.734455 0.000 0.112 0.888 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 5 0.5276 -0.293020 0.048 0.000 0.000 0.436 0.516
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.4848 0.102117 0.420 0.000 0.000 0.024 0.556
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.5288 0.647762 0.000 0.544 0.000 0.052 0.404
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0510 0.752612 0.984 0.000 0.000 0.000 0.016
#> A26E043D-E36B-40E7-B256-E368A8B1C156 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.4874 -0.008883 0.528 0.004 0.000 0.016 0.452
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.1211 0.481314 0.016 0.000 0.000 0.024 0.960
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.3242 0.605100 0.784 0.000 0.000 0.216 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 5 0.4890 0.275809 0.256 0.000 0.000 0.064 0.680
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.3143 0.650683 0.796 0.000 0.000 0.204 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4196 0.511723 0.640 0.000 0.356 0.004 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 5 0.0794 0.482178 0.000 0.000 0.000 0.028 0.972
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.0000 0.480004 0.000 0.000 0.000 0.000 1.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.6462 0.299539 0.456 0.000 0.356 0.188 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.3010 0.678501 0.824 0.000 0.172 0.004 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.4990 0.423072 0.580 0.000 0.036 0.384 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0290 0.753052 0.992 0.000 0.000 0.008 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2974 0.723649 0.868 0.000 0.000 0.080 0.052
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1704 0.747389 0.928 0.000 0.000 0.068 0.004
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 5 0.4861 0.085149 0.428 0.000 0.000 0.024 0.548
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.4457 0.332403 0.620 0.000 0.000 0.012 0.368
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1205 0.751496 0.956 0.000 0.000 0.040 0.004
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0794 0.753225 0.972 0.000 0.000 0.028 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0162 0.273713 0.000 0.996 0.004 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0162 0.273713 0.000 0.996 0.004 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0703 0.752947 0.976 0.000 0.000 0.024 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.3590 0.677258 0.828 0.000 0.000 0.080 0.092
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.4390 0.124314 0.428 0.000 0.000 0.568 0.004
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.3197 0.360168 0.000 0.140 0.000 0.024 0.836
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4990 0.345955 0.600 0.000 0.000 0.040 0.360
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 5 0.4841 0.110424 0.416 0.000 0.000 0.024 0.560
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.4225 0.472229 0.632 0.000 0.000 0.364 0.004
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0162 0.753510 0.996 0.000 0.000 0.004 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.3224 0.663204 0.824 0.000 0.000 0.160 0.016
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.3039 0.643438 0.808 0.000 0.000 0.192 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 5 0.4798 -0.093917 0.024 0.000 0.000 0.396 0.580
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0162 0.273713 0.000 0.996 0.004 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0162 0.273713 0.000 0.996 0.004 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.3949 0.108541 0.000 0.004 0.000 0.300 0.696
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 5 0.5261 0.054747 0.424 0.000 0.000 0.048 0.528
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 5 0.6003 -0.235926 0.000 0.112 0.000 0.444 0.444
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.1205 0.751496 0.956 0.000 0.000 0.040 0.004
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.4310 -0.090874 0.000 0.004 0.000 0.392 0.604
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.1399 0.751751 0.952 0.000 0.000 0.028 0.020
#> 8E295B94-54B1-491F-9638-DD96789431E3 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0880 0.752253 0.968 0.000 0.000 0.032 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.4451 -0.115505 0.492 0.000 0.000 0.504 0.004
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0162 0.273713 0.000 0.996 0.004 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 5 0.4626 0.219061 0.364 0.000 0.000 0.020 0.616
#> F039079F-DB80-465B-9981-988E6FB61319 3 0.4161 0.964328 0.000 0.392 0.608 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.4161 0.719461 0.000 0.608 0.000 0.000 0.392
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.753282 1.000 0.000 0.000 0.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 5 0.6439 -0.212177 0.180 0.000 0.000 0.372 0.448
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 5 0.0162 0.479914 0.004 0.000 0.000 0.000 0.996
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 5 0.6405 0.001663 0.252 0.000 0.000 0.236 0.512
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 5 0.7340 0.073376 0.244 0.128 0.000 0.104 0.524
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 5 0.1012 0.478285 0.020 0.000 0.000 0.012 0.968
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#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.5139 0.419064 0.576 0.000 0.036 0.384 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.6652 -0.152101 0.196 0.004 0.000 0.360 0.440
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1965 0.734648 0.924 0.000 0.000 0.024 0.052
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.1197 0.460036 0.000 0.048 0.000 0.000 0.952
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0794 0.752703 0.972 0.000 0.000 0.028 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.4894 0.022183 0.456 0.000 0.000 0.024 0.520
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4420 0.457341 0.000 0.004 0.000 0.548 0.448
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0703 0.752947 0.976 0.000 0.000 0.024 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4606 0.6313 0.712 0.000 0.008 0.168 0.000 0.112
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3367 0.6443 0.816 0.000 0.000 0.000 0.080 0.104
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2048 0.7070 0.880 0.000 0.000 0.120 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.5609 0.5144 0.616 0.000 0.024 0.188 0.000 0.172
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3874 0.5255 0.636 0.000 0.008 0.356 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.6006 0.2210 0.000 0.000 0.000 0.428 0.256 0.316
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 6 0.5008 0.4246 0.188 0.000 0.000 0.168 0.000 0.644
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.2793 0.5964 0.800 0.000 0.000 0.000 0.000 0.200
#> E43F4146-C231-4E30-A7B8-8695D00389C1 6 0.7316 0.0281 0.148 0.000 0.000 0.232 0.204 0.416
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.2738 0.6208 0.820 0.000 0.000 0.000 0.176 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.5609 0.5144 0.616 0.000 0.024 0.188 0.000 0.172
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6283 0.2676 0.432 0.000 0.024 0.368 0.000 0.176
#> B74635F7-8705-4A16-8985-82A5A26DCC88 5 0.3694 0.4433 0.000 0.232 0.000 0.000 0.740 0.028
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3244 0.6138 0.732 0.000 0.000 0.268 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.3050 0.6545 0.000 0.000 0.000 0.000 0.236 0.764
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6054 0.3535 0.508 0.000 0.024 0.348 0.112 0.008
#> BD213FB6-2DB9-4955-B061-4CD47604176B 4 0.6397 -0.2384 0.396 0.000 0.032 0.400 0.000 0.172
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0000 0.6791 0.000 0.000 0.000 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 6 0.3584 0.5946 0.004 0.000 0.000 0.000 0.308 0.688
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.3833 0.3376 0.444 0.000 0.000 0.000 0.000 0.556
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.7498 -0.2962 0.324 0.000 0.000 0.136 0.272 0.268
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3288 0.6182 0.724 0.000 0.000 0.276 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0000 0.6791 0.000 0.000 0.000 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5671 0.5009 0.604 0.000 0.032 0.240 0.000 0.124
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 6 0.3838 0.2993 0.448 0.000 0.000 0.000 0.000 0.552
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 6 0.2793 0.6714 0.000 0.000 0.000 0.000 0.200 0.800
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 6 0.6129 0.3797 0.004 0.000 0.008 0.236 0.256 0.496
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 6 0.6728 0.3111 0.056 0.000 0.008 0.196 0.236 0.504
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.6819 0.2606 0.036 0.000 0.004 0.376 0.336 0.248
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1007 0.6575 0.000 0.000 0.000 0.000 0.956 0.044
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.0713 0.6787 0.000 0.028 0.000 0.000 0.972 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.5609 0.5144 0.616 0.000 0.024 0.188 0.000 0.172
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.4496 0.5331 0.708 0.000 0.156 0.136 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1713 0.6693 0.000 0.044 0.000 0.000 0.928 0.028
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3481 0.6116 0.792 0.000 0.000 0.000 0.160 0.048
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2048 0.7070 0.880 0.000 0.000 0.120 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.0713 0.6792 0.000 0.000 0.000 0.000 0.972 0.028
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 6 0.3634 0.4505 0.356 0.000 0.000 0.000 0.000 0.644
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.5337 0.3963 0.612 0.000 0.004 0.188 0.000 0.196
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1141 0.7124 0.948 0.000 0.000 0.000 0.000 0.052
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.6436 0.1606 0.272 0.000 0.004 0.420 0.012 0.292
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 6 0.2793 0.6714 0.000 0.000 0.000 0.000 0.200 0.800
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 6 0.6123 0.1292 0.340 0.000 0.000 0.000 0.308 0.352
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0865 0.7175 0.964 0.000 0.000 0.036 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 6 0.4101 0.5616 0.004 0.000 0.008 0.196 0.044 0.748
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4460 0.4973 0.000 0.000 0.000 0.644 0.304 0.052
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2697 0.6027 0.812 0.000 0.000 0.188 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4842 0.5345 0.716 0.148 0.004 0.112 0.000 0.020
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.0858 0.6792 0.000 0.004 0.000 0.000 0.968 0.028
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1349 0.7081 0.940 0.000 0.004 0.056 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.4936 -0.1873 0.000 0.000 0.004 0.464 0.480 0.052
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 6 0.3390 0.6196 0.000 0.000 0.000 0.000 0.296 0.704
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.2219 0.6583 0.864 0.000 0.000 0.136 0.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.7025 0.1022 0.308 0.000 0.008 0.452 0.104 0.128
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 6 0.5422 0.4515 0.160 0.000 0.000 0.000 0.276 0.564
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.1036 0.8307 0.024 0.008 0.964 0.004 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.2823 0.6265 0.796 0.000 0.000 0.000 0.000 0.204
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.5981 -0.1525 0.432 0.000 0.000 0.080 0.440 0.048
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 6 0.2562 0.6728 0.000 0.000 0.000 0.000 0.172 0.828
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.3851 0.1864 0.000 0.540 0.000 0.000 0.460 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.3717 0.2904 0.616 0.000 0.000 0.384 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.6538 0.4469 0.560 0.000 0.024 0.188 0.040 0.188
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.4248 0.3774 0.000 0.000 0.004 0.236 0.708 0.052
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4486 0.5205 0.000 0.720 0.004 0.152 0.000 0.124
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.6508 0.4653 0.064 0.000 0.004 0.500 0.308 0.124
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 6 0.2969 0.5514 0.224 0.000 0.000 0.000 0.000 0.776
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.2448 0.6362 0.000 0.000 0.000 0.064 0.884 0.052
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0000 0.6791 0.000 0.000 0.000 0.000 1.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0790 0.7184 0.968 0.000 0.000 0.000 0.000 0.032
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.5770 0.1681 0.540 0.000 0.000 0.032 0.332 0.096
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 6 0.3231 0.6764 0.016 0.000 0.000 0.000 0.200 0.784
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.3528 0.4495 0.700 0.000 0.004 0.296 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 6 0.4054 0.5316 0.052 0.000 0.000 0.192 0.008 0.748
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.3789 0.5557 0.660 0.000 0.008 0.332 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.5609 0.5144 0.616 0.000 0.024 0.188 0.000 0.172
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 6 0.3245 0.6714 0.000 0.000 0.000 0.028 0.172 0.800
#> AB004080-5726-47A9-A172-EA3640F63257 6 0.3531 0.5905 0.000 0.000 0.000 0.000 0.328 0.672
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.6325 0.2699 0.432 0.000 0.028 0.368 0.000 0.172
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.3737 0.6743 0.804 0.000 0.024 0.048 0.000 0.124
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0865 0.8382 0.036 0.000 0.964 0.000 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0405 0.7200 0.988 0.000 0.004 0.008 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.4139 0.6502 0.732 0.000 0.008 0.212 0.000 0.048
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.4542 0.6372 0.716 0.000 0.008 0.176 0.000 0.100
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 6 0.3198 0.5368 0.260 0.000 0.000 0.000 0.000 0.740
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 6 0.3864 0.2240 0.480 0.000 0.000 0.000 0.000 0.520
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.3088 0.6977 0.832 0.000 0.000 0.120 0.000 0.048
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.2092 0.7070 0.876 0.000 0.000 0.124 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 5 0.3852 0.2877 0.000 0.324 0.000 0.000 0.664 0.012
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 5 0.3578 0.2714 0.000 0.340 0.000 0.000 0.660 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.0000 0.6791 0.000 0.000 0.000 0.000 1.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.2048 0.7070 0.880 0.000 0.000 0.120 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.4250 0.5704 0.744 0.000 0.000 0.144 0.004 0.108
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.4719 0.3606 0.272 0.000 0.000 0.644 0.000 0.084
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 6 0.3482 0.5533 0.000 0.000 0.000 0.000 0.316 0.684
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4482 0.2163 0.600 0.000 0.000 0.040 0.000 0.360
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.1141 0.6739 0.000 0.000 0.000 0.000 0.948 0.052
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 6 0.3265 0.5471 0.248 0.000 0.000 0.000 0.004 0.748
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.5125 -0.1218 0.400 0.000 0.008 0.528 0.000 0.064
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0260 0.7218 0.992 0.000 0.000 0.008 0.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.3497 0.6280 0.800 0.000 0.000 0.156 0.008 0.036
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.3217 0.5901 0.768 0.000 0.008 0.224 0.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.6474 0.2514 0.028 0.000 0.000 0.428 0.216 0.328
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 5 0.3578 0.2714 0.000 0.340 0.000 0.000 0.660 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 5 0.3578 0.2714 0.000 0.340 0.000 0.000 0.660 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.6338 -0.2357 0.000 0.000 0.008 0.312 0.340 0.340
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 6 0.4792 0.4412 0.260 0.000 0.000 0.096 0.000 0.644
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.5866 0.3625 0.000 0.000 0.004 0.512 0.252 0.232
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.3088 0.6977 0.832 0.000 0.000 0.120 0.000 0.048
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 4 0.5994 0.3499 0.000 0.000 0.004 0.452 0.336 0.208
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.3832 0.6763 0.776 0.000 0.000 0.120 0.000 0.104
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.2340 0.6983 0.852 0.000 0.000 0.148 0.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.3628 0.3027 0.268 0.000 0.008 0.720 0.004 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 5 0.4118 0.2927 0.000 0.312 0.000 0.000 0.660 0.028
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 6 0.3746 0.5960 0.192 0.000 0.000 0.000 0.048 0.760
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.0713 0.6792 0.000 0.000 0.000 0.000 0.972 0.028
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
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#> CA9D8784-2354-40CF-98D6-B54D0B780487 6 0.3420 0.5573 0.240 0.000 0.000 0.000 0.012 0.748
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.3769 0.3488 0.356 0.000 0.004 0.640 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2823 0.5947 0.796 0.000 0.000 0.000 0.000 0.204
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.2562 0.6728 0.000 0.000 0.000 0.000 0.172 0.828
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2778 0.6866 0.824 0.000 0.008 0.168 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.5609 0.5144 0.616 0.000 0.024 0.188 0.000 0.172
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0713 0.7201 0.972 0.000 0.000 0.000 0.000 0.028
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.6644 -0.0743 0.436 0.000 0.000 0.180 0.332 0.052
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.0000 0.6791 0.000 0.000 0.000 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.7209 1.000 0.000 0.000 0.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.1082 0.7161 0.956 0.000 0.004 0.040 0.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.4596 0.4974 0.000 0.000 0.004 0.640 0.304 0.052
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.6018 0.0693 0.184 0.000 0.000 0.172 0.592 0.052
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9335 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 6 0.5440 0.3358 0.288 0.000 0.000 0.156 0.000 0.556
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.5614 0.1974 0.540 0.000 0.000 0.004 0.300 0.156
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3706 0.2992 0.620 0.000 0.000 0.380 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.5147 0.4897 0.000 0.000 0.004 0.640 0.176 0.180
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0865 0.8382 0.036 0.000 0.964 0.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.6738 0.3769 0.184 0.000 0.004 0.456 0.304 0.052
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2454 0.6630 0.840 0.000 0.000 0.000 0.000 0.160
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 6 0.3592 0.5825 0.000 0.000 0.000 0.000 0.344 0.656
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2135 0.7050 0.872 0.000 0.000 0.128 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.3330 0.5197 0.284 0.000 0.000 0.000 0.000 0.716
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4553 0.4742 0.000 0.000 0.000 0.620 0.328 0.052
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2048 0.7070 0.880 0.000 0.000 0.120 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.732 0.900 0.947 0.366 0.612 0.612
#> 3 3 0.467 0.739 0.866 0.235 0.886 0.828
#> 4 4 0.296 0.487 0.681 0.305 0.628 0.447
#> 5 5 0.395 0.421 0.689 0.120 0.703 0.423
#> 6 6 0.490 0.579 0.745 0.114 0.740 0.415
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.973 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.973 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.973 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.973 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.2948 0.865 0.052 0.948
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.973 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.973 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.973 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.973 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.973 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.4562 0.860 0.904 0.096
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.2948 0.865 0.052 0.948
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.2948 0.865 0.052 0.948
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0672 0.856 0.008 0.992
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.5178 0.844 0.884 0.116
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.973 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.3274 0.865 0.060 0.940
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.2948 0.865 0.052 0.948
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4022 0.860 0.080 0.920
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.973 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.973 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.973 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.973 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.973 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.973 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.7674 0.781 0.224 0.776
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.9866 0.499 0.432 0.568
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.973 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.9866 0.499 0.432 0.568
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.973 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.973 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.973 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.973 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.973 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.6887 0.804 0.184 0.816
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5059 0.843 0.112 0.888
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.2948 0.865 0.052 0.948
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.7453 0.703 0.788 0.212
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.2948 0.862 0.052 0.948
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.973 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.854 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.973 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.9129 0.668 0.328 0.672
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.854 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.973 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.973 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.973 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.7139 0.729 0.804 0.196
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.973 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.973 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.973 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.854 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.973 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.973 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.973 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.9427 0.378 0.640 0.360
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.9552 0.586 0.376 0.624
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.973 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.1414 0.953 0.980 0.020
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.973 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.973 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.854 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.973 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.973 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.5294 0.847 0.120 0.880
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.973 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.9427 0.637 0.360 0.640
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.973 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.854 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.973 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.2948 0.865 0.052 0.948
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.9427 0.392 0.640 0.360
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1843 0.861 0.028 0.972
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.973 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.973 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.0000 0.973 1.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.9983 0.346 0.476 0.524
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.973 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.973 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.854 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.973 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.973 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.7139 0.729 0.804 0.196
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.973 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.973 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.2948 0.865 0.052 0.948
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.973 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.973 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.2948 0.865 0.052 0.948
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.8608 0.736 0.284 0.716
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.7815 0.761 0.232 0.768
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.973 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.973 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.973 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.973 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.973 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.973 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.973 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.854 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.854 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.854 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.9732 0.558 0.404 0.596
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.973 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.973 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.973 1.000 0.000
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#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.0000 0.973 1.000 0.000
#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.0000 0.973 1.000 0.000
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.7376 0.789 0.208 0.792
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.0000 0.973 1.000 0.000
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.0000 0.973 1.000 0.000
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 1 0.0000 0.973 1.000 0.000
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0000 0.973 1.000 0.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 1 0.0000 0.973 1.000 0.000
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.0000 0.973 1.000 0.000
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.0000 0.973 1.000 0.000
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.0000 0.973 1.000 0.000
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.0000 0.973 1.000 0.000
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 2 0.2948 0.865 0.052 0.948
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 2 0.2948 0.865 0.052 0.948
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.0000 0.973 1.000 0.000
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 2 0.5294 0.847 0.120 0.880
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.0000 0.973 1.000 0.000
#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.8763 0.722 0.296 0.704
#> 64DE217D-A810-481E-A654-7D1B36D2858E 2 0.2948 0.865 0.052 0.948
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0000 0.973 1.000 0.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.2948 0.865 0.052 0.948
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.854 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.854 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 1 1.0000 -0.263 0.500 0.500
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.2236 0.862 0.036 0.964
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 1 0.1633 0.949 0.976 0.024
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.973 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.973 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.2948 0.918 0.948 0.052
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.973 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.973 1.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.854 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.7219 0.723 0.800 0.200
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.973 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.973 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.973 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.9866 0.499 0.432 0.568
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.5294 0.847 0.120 0.880
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 2 0.9850 0.505 0.428 0.572
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.0000 0.973 1.000 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.973 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.7219 0.723 0.800 0.200
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.973 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.8909 0.667 0.308 0.692
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.0000 0.973 1.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.973 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.973 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.9000 0.397 0.684 0.316
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.8386 0.599 0.732 0.268
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0376 0.970 0.996 0.004
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.2603 0.929 0.956 0.044
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.973 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.973 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.854 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.973 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.973 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.973 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.973 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.973 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.973 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.973 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.973 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.2948 0.865 0.052 0.948
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.973 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.0000 0.973 1.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.5842 0.835 0.140 0.860
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.5629 0.823 0.868 0.132
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.973 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.973 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.973 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.973 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.8661 0.718 0.288 0.712
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.973 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.9833 0.489 0.424 0.576
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.973 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.973 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.973 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 2 0.7056 0.803 0.192 0.808
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0000 0.973 1.000 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.5294 0.847 0.120 0.880
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.7219 0.723 0.800 0.200
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 1 0.3274 0.913 0.940 0.060
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.973 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.5737 0.844 0.136 0.864
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.7376 0.709 0.792 0.208
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.973 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.973 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.973 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.854 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.973 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.973 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.973 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.973 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.9248 0.667 0.340 0.660
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.5294 0.847 0.120 0.880
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.5294 0.847 0.120 0.880
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.973 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.973 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.973 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.973 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.973 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.973 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.973 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.973 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.973 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.973 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.973 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.973 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.973 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.8555 0.728 0.280 0.720
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.973 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.2948 0.865 0.052 0.948
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.973 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.9608 0.579 0.384 0.616
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.973 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.1414 0.955 0.980 0.020
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.973 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.2778 0.925 0.952 0.048
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.1633 0.949 0.976 0.024
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.5059 0.850 0.888 0.112
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.973 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4431 0.856 0.092 0.908
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.9209 0.656 0.336 0.664
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.973 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.973 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.973 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.973 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.973 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.973 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.973 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.973 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.7219 0.723 0.800 0.200
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.973 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.973 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.2948 0.865 0.052 0.948
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.973 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.973 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.8016 0.761 0.244 0.756
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.1184 0.958 0.984 0.016
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.973 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.5059 0.851 0.888 0.112
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.9000 0.642 0.316 0.684
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.854 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.973 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.973 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.973 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.973 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.5294 0.847 0.120 0.880
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.973 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.973 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.973 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.973 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.973 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.973 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6801 0.753 0.820 0.180
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1289 0.88540 0.968 0.000 0.032
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2879 0.87908 0.924 0.024 0.052
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1399 0.89033 0.968 0.028 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2066 0.87787 0.940 0.000 0.060
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2743 0.84794 0.052 0.020 0.928
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0747 0.88818 0.984 0.000 0.016
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1878 0.88839 0.952 0.044 0.004
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1031 0.88555 0.976 0.000 0.024
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1620 0.88952 0.964 0.024 0.012
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.2066 0.88589 0.940 0.060 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3589 0.87193 0.900 0.048 0.052
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6714 0.71240 0.112 0.140 0.748
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.2743 0.84794 0.052 0.020 0.928
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0592 0.59041 0.000 0.988 0.012
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2384 0.88123 0.936 0.008 0.056
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3112 0.86852 0.900 0.096 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3141 0.83768 0.068 0.020 0.912
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.2743 0.84794 0.052 0.020 0.928
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.2066 0.60267 0.060 0.940 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5202 0.75379 0.772 0.220 0.008
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1163 0.88611 0.972 0.000 0.028
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.1751 0.88667 0.960 0.012 0.028
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4099 0.84528 0.852 0.140 0.008
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1289 0.88567 0.968 0.000 0.032
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1163 0.88611 0.972 0.000 0.028
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.2261 0.60105 0.068 0.932 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5815 0.47966 0.304 0.004 0.692
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.2400 0.88604 0.932 0.064 0.004
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#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.6822 0.14502 0.508 0.480 0.012
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.2902 0.79162 0.064 0.016 0.920
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.5366 0.74905 0.776 0.016 0.208
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.6587 0.16419 0.424 0.568 0.008
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0475 0.88939 0.992 0.004 0.004
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.3091 0.59431 0.072 0.912 0.016
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.6675 0.36221 0.584 0.012 0.404
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.1170 0.88786 0.976 0.008 0.016
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2301 0.87720 0.936 0.004 0.060
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1411 0.88502 0.964 0.000 0.036
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.6309 -0.09372 0.000 0.504 0.496
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.1753 0.88744 0.952 0.048 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1999 0.88657 0.952 0.012 0.036
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.3349 0.86413 0.888 0.108 0.004
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.2096 0.88094 0.944 0.004 0.052
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.4642 0.85815 0.856 0.060 0.084
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.2902 0.79162 0.064 0.016 0.920
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5318 0.62088 0.204 0.016 0.780
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1031 0.88546 0.976 0.000 0.024
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.1999 0.89176 0.952 0.036 0.012
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1585 0.89042 0.964 0.028 0.008
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0237 0.88845 0.996 0.000 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1964 0.87911 0.944 0.000 0.056
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0892 0.88732 0.980 0.000 0.020
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4068 0.85305 0.864 0.120 0.016
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.1453 0.88584 0.968 0.008 0.024
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.2269 0.87960 0.944 0.016 0.040
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2434 0.88848 0.940 0.036 0.024
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.2269 0.87960 0.944 0.016 0.040
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.2269 0.87947 0.944 0.016 0.040
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.1170 0.88738 0.976 0.008 0.016
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.2796 0.59199 0.092 0.908 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1647 0.88215 0.960 0.004 0.036
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.2743 0.84794 0.052 0.020 0.928
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.4164 0.84087 0.848 0.144 0.008
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.5722 0.43118 0.292 0.704 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.2590 0.87982 0.924 0.072 0.004
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.2590 0.87219 0.924 0.004 0.072
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1964 0.87911 0.944 0.000 0.056
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3183 0.86386 0.908 0.016 0.076
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.6669 0.18773 0.524 0.468 0.008
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.4602 0.80314 0.832 0.016 0.152
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1482 0.89147 0.968 0.020 0.012
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4963 0.49437 0.200 0.792 0.008
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4682 0.51411 0.192 0.804 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2772 0.87685 0.916 0.080 0.004
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1964 0.87911 0.944 0.000 0.056
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1289 0.88567 0.968 0.000 0.032
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.1711 0.89088 0.960 0.032 0.008
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1643 0.88264 0.956 0.000 0.044
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.2063 0.88430 0.948 0.008 0.044
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.2176 0.89366 0.948 0.020 0.032
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.1015 0.88809 0.980 0.008 0.012
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.5406 0.76621 0.780 0.020 0.200
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.5292 0.72976 0.764 0.228 0.008
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1860 0.87999 0.948 0.000 0.052
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.5020 0.79789 0.056 0.108 0.836
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.5538 0.84342 0.812 0.116 0.072
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.1529 0.88445 0.960 0.000 0.040
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.2261 0.60128 0.068 0.932 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.3832 0.86428 0.880 0.020 0.100
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3295 0.87043 0.896 0.096 0.008
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.4859 0.84639 0.840 0.116 0.044
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.5731 0.80719 0.804 0.088 0.108
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.6305 -0.10772 0.000 0.516 0.484
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1636 0.89338 0.964 0.016 0.020
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.5295 0.82703 0.808 0.156 0.036
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0424 0.88929 0.992 0.008 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2537 0.87853 0.920 0.080 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.2902 0.79162 0.064 0.016 0.920
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3459 0.86849 0.892 0.096 0.012
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1267 0.89082 0.972 0.024 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.6617 0.43597 0.600 0.388 0.012
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1860 0.87999 0.948 0.000 0.052
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1315 0.89053 0.972 0.020 0.008
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.3129 0.87347 0.904 0.088 0.008
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2772 0.86772 0.916 0.004 0.080
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.6924 0.58485 0.428 0.000 0.108 0.464
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.5883 0.41407 0.700 0.000 0.128 0.172
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4914 0.44685 0.748 0.000 0.044 0.208
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.7432 0.58987 0.348 0.000 0.180 0.472
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2053 0.71571 0.000 0.004 0.924 0.072
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.6482 0.60908 0.424 0.000 0.072 0.504
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.3539 0.51776 0.820 0.000 0.004 0.176
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.5137 0.57046 0.452 0.000 0.004 0.544
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.4866 0.48933 0.404 0.000 0.000 0.596
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.4872 0.20667 0.640 0.000 0.004 0.356
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.6198 0.44389 0.672 0.000 0.176 0.152
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.5523 0.58857 0.108 0.068 0.776 0.048
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0524 0.74361 0.004 0.008 0.988 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.5074 0.59895 0.332 0.656 0.004 0.008
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.7374 -0.22020 0.504 0.000 0.188 0.308
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2868 0.56420 0.864 0.000 0.000 0.136
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1297 0.73585 0.016 0.000 0.964 0.020
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0804 0.74242 0.012 0.000 0.980 0.008
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.6837 0.18872 0.596 0.272 0.004 0.128
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.1902 0.61306 0.932 0.004 0.000 0.064
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.6826 0.59872 0.416 0.000 0.100 0.484
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4819 0.57170 0.344 0.000 0.004 0.652
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3498 0.58361 0.832 0.008 0.000 0.160
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.6822 0.60464 0.412 0.000 0.100 0.488
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.6702 -0.50645 0.476 0.000 0.088 0.436
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 1 0.6814 0.18245 0.596 0.276 0.004 0.124
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.7234 0.09940 0.252 0.000 0.544 0.204
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.3569 0.53120 0.804 0.000 0.000 0.196
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.7914 -0.26229 0.340 0.000 0.352 0.308
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.3142 0.56032 0.860 0.000 0.008 0.132
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4538 0.44229 0.760 0.000 0.024 0.216
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.4181 0.53528 0.820 0.000 0.052 0.128
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.3982 0.56705 0.776 0.004 0.000 0.220
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.6683 0.60777 0.416 0.000 0.088 0.496
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.6966 0.10935 0.560 0.340 0.016 0.084
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5463 0.51052 0.404 0.580 0.004 0.012
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0524 0.74361 0.004 0.008 0.988 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.3218 0.33074 0.028 0.032 0.044 0.896
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 1 0.6412 -0.04075 0.564 0.368 0.004 0.064
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3157 0.56007 0.852 0.000 0.004 0.144
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0937 0.77049 0.000 0.976 0.012 0.012
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.7441 0.58770 0.352 0.000 0.180 0.468
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 1 0.6596 0.26481 0.628 0.248 0.004 0.120
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0937 0.77049 0.000 0.976 0.012 0.012
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4927 0.31789 0.712 0.000 0.024 0.264
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.4978 -0.11640 0.612 0.000 0.004 0.384
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.4624 0.49453 0.784 0.000 0.052 0.164
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2409 0.40406 0.032 0.004 0.040 0.924
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.3249 0.55914 0.852 0.000 0.008 0.140
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.1902 0.59979 0.932 0.000 0.004 0.064
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.5460 0.01840 0.632 0.000 0.028 0.340
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0524 0.77392 0.000 0.988 0.008 0.004
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.5168 0.51478 0.492 0.000 0.004 0.504
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.4360 0.54086 0.744 0.000 0.008 0.248
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.5581 0.52041 0.448 0.000 0.020 0.532
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5327 -0.06868 0.028 0.048 0.156 0.768
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 1 0.6769 0.18124 0.600 0.276 0.004 0.120
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.5004 0.52657 0.392 0.000 0.004 0.604
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.4050 0.57351 0.808 0.024 0.000 0.168
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0895 0.61071 0.976 0.004 0.000 0.020
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.5696 0.27982 0.484 0.000 0.024 0.492
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0937 0.77049 0.000 0.976 0.012 0.012
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.6425 -0.04329 0.604 0.000 0.096 0.300
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.1256 0.61078 0.964 0.008 0.000 0.028
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6683 0.52472 0.000 0.088 0.496 0.416
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.5489 0.32954 0.700 0.000 0.060 0.240
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5315 0.52857 0.748 0.028 0.028 0.196
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.1297 0.60938 0.964 0.016 0.000 0.020
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2773 0.76721 0.116 0.880 0.004 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.4290 0.61373 0.212 0.000 0.016 0.772
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.4037 0.66608 0.056 0.112 0.832 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.6751 0.31199 0.624 0.220 0.004 0.152
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.5682 0.31365 0.000 0.612 0.352 0.036
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.4436 0.53925 0.216 0.000 0.020 0.764
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.3710 0.51130 0.804 0.000 0.004 0.192
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.3552 0.57562 0.848 0.024 0.000 0.128
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 1 0.6091 0.42764 0.692 0.180 0.004 0.124
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.3820 0.55599 0.848 0.000 0.064 0.088
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4483 0.46752 0.712 0.000 0.004 0.284
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0937 0.77049 0.000 0.976 0.012 0.012
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.4037 0.54165 0.832 0.000 0.056 0.112
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.4285 0.51923 0.804 0.000 0.040 0.156
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.2123 0.39615 0.028 0.004 0.032 0.936
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4699 0.15025 0.676 0.000 0.004 0.320
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 4 0.6845 0.56208 0.448 0.000 0.100 0.452
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0188 0.74330 0.004 0.000 0.996 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.4285 0.51982 0.804 0.000 0.040 0.156
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#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.3464 0.55526 0.124 0.004 0.016 0.856
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.3606 0.57402 0.844 0.024 0.000 0.132
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.3301 0.51733 0.092 0.004 0.028 0.876
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4769 0.23510 0.684 0.000 0.008 0.308
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.6858 0.15527 0.588 0.284 0.004 0.124
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.6240 0.39227 0.676 0.196 0.004 0.124
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.1824 0.60676 0.936 0.000 0.004 0.060
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.7307 0.59632 0.376 0.000 0.156 0.468
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.6957 0.59497 0.416 0.000 0.112 0.472
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.5155 0.35347 0.468 0.000 0.004 0.528
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.7286 0.60050 0.364 0.000 0.156 0.480
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.6347 0.08431 0.624 0.000 0.100 0.276
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.4452 0.43321 0.732 0.000 0.008 0.260
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.4594 0.60816 0.280 0.000 0.008 0.712
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.6542 0.01137 0.392 0.028 0.032 0.548
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1639 0.60849 0.952 0.004 0.008 0.036
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.7375 0.59243 0.348 0.000 0.172 0.480
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.2988 0.69445 0.012 0.112 0.876 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.3245 0.59574 0.880 0.000 0.056 0.064
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.6862 0.59719 0.408 0.000 0.104 0.488
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.6513 0.29766 0.640 0.236 0.004 0.120
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.6911 0.59692 0.336 0.000 0.124 0.540
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4277 0.52038 0.720 0.000 0.000 0.280
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.5712 0.33366 0.348 0.008 0.024 0.620
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.6224 0.44706 0.672 0.040 0.036 0.252
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.3217 0.70634 0.000 0.860 0.128 0.012
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.5313 -0.14858 0.608 0.000 0.016 0.376
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.2089 0.59185 0.932 0.000 0.048 0.020
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.5168 0.43033 0.492 0.000 0.004 0.504
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4155 0.51984 0.756 0.000 0.004 0.240
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6638 0.52622 0.000 0.084 0.496 0.420
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.5168 0.14284 0.492 0.000 0.004 0.504
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.3945 0.46832 0.780 0.000 0.004 0.216
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.2060 0.60684 0.932 0.016 0.000 0.052
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.7200 0.60339 0.372 0.000 0.144 0.484
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4799 0.42012 0.744 0.000 0.032 0.224
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.4898 0.19719 0.584 0.000 0.000 0.416
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.7597 0.56080 0.308 0.000 0.224 0.468
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1012 0.61605 0.968 0.000 0.000 0.020 0.012
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.5398 -0.01207 0.472 0.000 0.012 0.032 0.484
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4787 0.11307 0.548 0.000 0.000 0.020 0.432
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2494 0.58688 0.908 0.000 0.016 0.032 0.044
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.1701 0.82818 0.000 0.016 0.936 0.048 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0703 0.60541 0.976 0.000 0.000 0.024 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.5028 0.07514 0.524 0.000 0.000 0.032 0.444
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1211 0.61091 0.960 0.000 0.000 0.024 0.016
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4401 0.51782 0.764 0.000 0.000 0.104 0.132
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.5519 0.14638 0.520 0.000 0.000 0.068 0.412
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.6501 0.15097 0.392 0.000 0.060 0.056 0.492
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4531 0.51766 0.004 0.004 0.716 0.028 0.248
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.87127 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4807 0.34169 0.000 0.532 0.000 0.020 0.448
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4912 0.52941 0.728 0.000 0.028 0.044 0.200
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.5024 0.18927 0.440 0.000 0.000 0.032 0.528
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0451 0.86651 0.008 0.000 0.988 0.004 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0451 0.86651 0.008 0.000 0.988 0.004 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.4210 0.42467 0.000 0.224 0.000 0.036 0.740
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.5288 0.21617 0.404 0.000 0.000 0.052 0.544
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1753 0.60807 0.936 0.000 0.000 0.032 0.032
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4458 0.51752 0.760 0.000 0.000 0.120 0.120
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.3493 0.61634 0.108 0.000 0.000 0.060 0.832
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0992 0.60724 0.968 0.000 0.000 0.024 0.008
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2228 0.61538 0.912 0.000 0.000 0.040 0.048
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.4404 0.39802 0.000 0.252 0.000 0.036 0.712
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.6939 -0.14732 0.476 0.000 0.360 0.116 0.048
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.5048 0.02491 0.476 0.000 0.000 0.032 0.492
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.8445 -0.33607 0.376 0.012 0.112 0.252 0.248
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.4890 0.05564 0.524 0.000 0.000 0.024 0.452
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4639 0.24362 0.612 0.000 0.000 0.020 0.368
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.4878 0.09139 0.536 0.000 0.000 0.024 0.440
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.3888 0.59802 0.148 0.000 0.000 0.056 0.796
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0865 0.60535 0.972 0.000 0.000 0.024 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.5005 0.36996 0.000 0.244 0.024 0.036 0.696
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.4787 0.17477 0.000 0.364 0.000 0.028 0.608
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.87127 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.5846 0.68282 0.312 0.004 0.016 0.600 0.068
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.4541 0.34441 0.000 0.288 0.000 0.032 0.680
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4961 0.08333 0.524 0.000 0.000 0.028 0.448
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.3398 0.73098 0.000 0.780 0.004 0.216 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3042 0.58123 0.880 0.000 0.020 0.044 0.056
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.4380 0.38867 0.000 0.260 0.000 0.032 0.708
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.3086 0.74047 0.000 0.816 0.004 0.180 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.3970 0.45658 0.744 0.000 0.000 0.020 0.236
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.4830 0.44212 0.684 0.000 0.000 0.060 0.256
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5190 0.06772 0.496 0.000 0.004 0.032 0.468
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.6311 0.66408 0.344 0.000 0.016 0.528 0.112
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.4890 0.05564 0.524 0.000 0.000 0.024 0.452
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.4829 0.00256 0.500 0.000 0.000 0.020 0.480
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.3940 0.49030 0.756 0.000 0.000 0.024 0.220
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.2672 0.75547 0.000 0.872 0.004 0.116 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.2067 0.61925 0.920 0.000 0.000 0.032 0.048
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.4527 0.54557 0.204 0.000 0.000 0.064 0.732
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.1918 0.60749 0.928 0.000 0.000 0.036 0.036
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5616 0.66996 0.280 0.004 0.020 0.640 0.056
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.4428 0.37419 0.000 0.268 0.000 0.032 0.700
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.3806 0.53285 0.812 0.000 0.000 0.104 0.084
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.2954 0.62615 0.064 0.004 0.000 0.056 0.876
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.5032 0.16133 0.448 0.000 0.000 0.032 0.520
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.4467 0.54345 0.752 0.000 0.000 0.084 0.164
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.3398 0.73098 0.000 0.780 0.004 0.216 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2540 0.60703 0.888 0.000 0.000 0.024 0.088
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.4445 0.49239 0.300 0.000 0.000 0.024 0.676
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.4595 0.26334 0.000 0.044 0.236 0.716 0.004
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4686 0.21855 0.596 0.000 0.000 0.020 0.384
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.6124 0.24891 0.120 0.008 0.024 0.200 0.648
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.4829 0.07493 0.484 0.000 0.000 0.020 0.496
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.1845 0.76560 0.000 0.928 0.000 0.016 0.056
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4899 0.35090 0.732 0.000 0.008 0.164 0.096
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.2766 0.77401 0.000 0.056 0.892 0.012 0.040
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.4523 0.50127 0.004 0.128 0.012 0.076 0.780
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.6813 0.26988 0.000 0.476 0.348 0.152 0.024
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6616 -0.22962 0.488 0.000 0.008 0.320 0.184
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.5077 0.11470 0.536 0.000 0.000 0.036 0.428
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.2364 0.63922 0.064 0.008 0.000 0.020 0.908
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.4119 0.43859 0.000 0.212 0.000 0.036 0.752
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.5255 0.01918 0.468 0.000 0.012 0.024 0.496
#> F850770E-CE4A-43E8-A4FB-154184CA8155 5 0.5405 0.00820 0.460 0.000 0.000 0.056 0.484
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.2389 0.74964 0.000 0.880 0.004 0.116 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.4974 0.02734 0.492 0.000 0.004 0.020 0.484
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.4886 0.06826 0.528 0.000 0.000 0.024 0.448
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.5860 0.67477 0.340 0.000 0.012 0.568 0.080
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4028 0.52236 0.768 0.000 0.000 0.040 0.192
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0771 0.61024 0.976 0.000 0.000 0.020 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.87127 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.4890 0.05564 0.524 0.000 0.000 0.024 0.452
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.4768 0.34182 0.384 0.000 0.000 0.024 0.592
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0162 0.87051 0.000 0.000 0.996 0.004 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.6139 0.10926 0.380 0.000 0.528 0.044 0.048
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.4725 0.31345 0.024 0.016 0.224 0.728 0.008
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.5967 0.14208 0.604 0.000 0.012 0.268 0.116
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1082 0.61453 0.964 0.000 0.000 0.028 0.008
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0865 0.61900 0.972 0.000 0.000 0.004 0.024
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.4065 0.41395 0.720 0.000 0.000 0.016 0.264
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.4803 0.08415 0.536 0.000 0.000 0.020 0.444
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1686 0.59427 0.944 0.000 0.008 0.020 0.028
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.3336 0.49967 0.844 0.000 0.000 0.096 0.060
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.4065 0.63426 0.000 0.720 0.000 0.016 0.264
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.2408 0.76192 0.000 0.892 0.000 0.092 0.016
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.2624 0.74840 0.000 0.872 0.000 0.012 0.116
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.3654 0.50500 0.000 0.108 0.020 0.036 0.836
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.1168 0.60124 0.960 0.000 0.000 0.032 0.008
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.3390 0.61713 0.100 0.000 0.000 0.060 0.840
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.3780 0.59942 0.808 0.000 0.000 0.060 0.132
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.4273 0.57902 0.212 0.004 0.000 0.036 0.748
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 5 0.5531 0.41012 0.248 0.000 0.000 0.120 0.632
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.4301 0.38999 0.000 0.260 0.000 0.028 0.712
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.4193 0.49213 0.748 0.000 0.000 0.040 0.212
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.2139 0.59567 0.916 0.000 0.000 0.052 0.032
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.2949 0.58735 0.884 0.000 0.016 0.048 0.052
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.3398 0.73098 0.000 0.780 0.004 0.216 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.7558 -0.08797 0.368 0.000 0.380 0.056 0.196
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0771 0.61313 0.976 0.000 0.000 0.020 0.004
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.4815 0.04851 0.524 0.000 0.000 0.020 0.456
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#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1300 0.60384 0.956 0.000 0.000 0.016 0.028
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.4772 0.55086 0.728 0.000 0.000 0.108 0.164
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1560 0.59780 0.948 0.000 0.004 0.020 0.028
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4645 0.44972 0.692 0.000 0.008 0.028 0.272
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.5159 0.16695 0.556 0.000 0.000 0.044 0.400
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.4334 0.43711 0.768 0.000 0.000 0.140 0.092
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.6772 0.24048 0.152 0.004 0.012 0.440 0.392
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4900 0.03027 0.512 0.000 0.000 0.024 0.464
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2040 0.58722 0.928 0.000 0.008 0.032 0.032
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0693 0.86634 0.000 0.008 0.980 0.012 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.4342 0.53789 0.248 0.000 0.016 0.012 0.724
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2423 0.60001 0.896 0.000 0.000 0.024 0.080
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.4192 0.41848 0.000 0.232 0.000 0.032 0.736
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.6105 0.28051 0.636 0.000 0.028 0.140 0.196
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.4948 0.43517 0.256 0.000 0.000 0.068 0.676
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.6754 -0.19172 0.228 0.000 0.012 0.260 0.500
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.5969 0.28871 0.088 0.020 0.028 0.180 0.684
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.5134 0.69440 0.000 0.740 0.128 0.100 0.032
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2616 0.60335 0.880 0.000 0.000 0.020 0.100
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4706 0.38161 0.344 0.000 0.004 0.020 0.632
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3814 0.59070 0.808 0.000 0.000 0.068 0.124
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.5443 0.07694 0.436 0.000 0.000 0.060 0.504
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.4605 0.25647 0.000 0.040 0.248 0.708 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.6451 0.22360 0.248 0.000 0.004 0.220 0.528
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.4942 0.11348 0.540 0.000 0.000 0.028 0.432
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4078 0.60097 0.180 0.004 0.000 0.040 0.776
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1865 0.59127 0.936 0.000 0.008 0.024 0.032
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4564 0.23276 0.612 0.000 0.000 0.016 0.372
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.6321 0.21011 0.312 0.000 0.004 0.160 0.524
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2856 0.57410 0.892 0.000 0.032 0.032 0.044
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1866 0.75629 0.908 0.000 0.000 0.008 0.084 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.4521 0.55677 0.348 0.004 0.004 0.028 0.616 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.3860 0.23774 0.472 0.000 0.000 0.000 0.528 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1226 0.74972 0.952 0.004 0.000 0.004 0.040 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0547 0.89443 0.000 0.000 0.980 0.020 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0972 0.75769 0.964 0.000 0.000 0.008 0.028 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.3499 0.58116 0.320 0.000 0.000 0.000 0.680 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2595 0.72506 0.836 0.000 0.000 0.004 0.160 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 5 0.5650 0.10439 0.392 0.004 0.000 0.116 0.484 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.4793 0.56023 0.252 0.000 0.000 0.100 0.648 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4699 0.65857 0.184 0.040 0.004 0.048 0.724 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3377 0.70607 0.012 0.020 0.844 0.020 0.100 0.004
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1826 0.71012 0.000 0.924 0.000 0.004 0.020 0.052
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3463 0.66460 0.776 0.008 0.004 0.008 0.204 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.2730 0.70157 0.152 0.012 0.000 0.000 0.836 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0260 0.89875 0.008 0.000 0.992 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.2218 0.79771 0.000 0.884 0.000 0.012 0.104 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.3076 0.70871 0.112 0.044 0.000 0.004 0.840 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0713 0.75885 0.972 0.000 0.000 0.000 0.028 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 5 0.5972 0.22662 0.284 0.000 0.000 0.268 0.448 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.2329 0.65084 0.012 0.056 0.000 0.024 0.904 0.004
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1151 0.75943 0.956 0.000 0.000 0.012 0.032 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2261 0.74892 0.884 0.004 0.000 0.008 0.104 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.2404 0.79912 0.004 0.880 0.000 0.008 0.104 0.004
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.6864 0.13637 0.472 0.016 0.324 0.100 0.088 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.2841 0.70317 0.128 0.012 0.000 0.012 0.848 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.8307 0.13246 0.088 0.036 0.096 0.164 0.472 0.144
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.3288 0.62979 0.276 0.000 0.000 0.000 0.724 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3737 0.29560 0.608 0.000 0.000 0.000 0.392 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.3288 0.62638 0.276 0.000 0.000 0.000 0.724 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.2484 0.65917 0.012 0.056 0.000 0.032 0.896 0.004
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1124 0.75895 0.956 0.000 0.000 0.008 0.036 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.1958 0.79890 0.000 0.896 0.000 0.000 0.100 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.2651 0.78808 0.000 0.872 0.000 0.004 0.088 0.036
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2007 0.62841 0.036 0.004 0.000 0.916 0.044 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.2250 0.79586 0.000 0.888 0.000 0.000 0.092 0.020
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3012 0.67982 0.196 0.008 0.000 0.000 0.796 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 6 0.0937 0.86424 0.000 0.040 0.000 0.000 0.000 0.960
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1788 0.73168 0.916 0.004 0.000 0.004 0.076 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.1858 0.79919 0.000 0.904 0.000 0.000 0.092 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 6 0.1501 0.86480 0.000 0.076 0.000 0.000 0.000 0.924
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.3482 0.50727 0.684 0.000 0.000 0.000 0.316 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 5 0.5115 0.19383 0.460 0.000 0.000 0.080 0.460 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.3351 0.63287 0.288 0.000 0.000 0.000 0.712 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2903 0.63956 0.052 0.004 0.000 0.864 0.076 0.004
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.3288 0.62793 0.276 0.000 0.000 0.000 0.724 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.2378 0.70114 0.152 0.000 0.000 0.000 0.848 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.3819 0.44184 0.652 0.000 0.000 0.008 0.340 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 6 0.2562 0.83799 0.000 0.172 0.000 0.000 0.000 0.828
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.2768 0.71604 0.832 0.000 0.000 0.012 0.156 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.3961 0.62517 0.032 0.052 0.000 0.112 0.800 0.004
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.3649 0.69272 0.764 0.000 0.000 0.040 0.196 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.2065 0.62891 0.032 0.004 0.000 0.912 0.052 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.2489 0.79397 0.000 0.860 0.000 0.000 0.128 0.012
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.5547 0.30425 0.508 0.000 0.000 0.148 0.344 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.5489 0.05268 0.004 0.400 0.000 0.096 0.496 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.2790 0.70739 0.132 0.024 0.000 0.000 0.844 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 5 0.4692 0.57697 0.196 0.016 0.000 0.084 0.704 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 6 0.0937 0.86424 0.000 0.040 0.000 0.000 0.000 0.960
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2668 0.70666 0.828 0.000 0.000 0.004 0.168 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.2046 0.69338 0.032 0.060 0.000 0.000 0.908 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.5491 0.21432 0.004 0.012 0.116 0.624 0.004 0.240
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.3868 -0.13511 0.504 0.000 0.000 0.000 0.496 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.6185 0.45399 0.060 0.104 0.004 0.184 0.628 0.020
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.3470 0.68254 0.200 0.028 0.000 0.000 0.772 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 6 0.3426 0.72379 0.000 0.276 0.000 0.004 0.000 0.720
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.5187 0.36085 0.608 0.000 0.000 0.244 0.148 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0363 0.89706 0.000 0.012 0.988 0.000 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.5594 0.57015 0.008 0.616 0.000 0.144 0.220 0.012
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 6 0.5104 0.27400 0.000 0.060 0.420 0.008 0.000 0.512
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.4756 0.53433 0.056 0.004 0.000 0.608 0.332 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.3448 0.61833 0.280 0.004 0.000 0.000 0.716 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.3791 0.57315 0.008 0.212 0.000 0.020 0.756 0.004
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.2442 0.78409 0.000 0.852 0.000 0.000 0.144 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.3014 0.68747 0.184 0.012 0.000 0.000 0.804 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 5 0.3695 0.67634 0.184 0.004 0.000 0.040 0.772 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 6 0.1863 0.86175 0.000 0.104 0.000 0.000 0.000 0.896
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.2996 0.66642 0.228 0.000 0.000 0.000 0.772 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.3351 0.61697 0.288 0.000 0.000 0.000 0.712 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.2263 0.63816 0.048 0.000 0.000 0.896 0.056 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.3784 0.48533 0.680 0.000 0.000 0.012 0.308 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1398 0.75909 0.940 0.000 0.000 0.008 0.052 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 5 0.3409 0.60440 0.300 0.000 0.000 0.000 0.700 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.2404 0.70828 0.080 0.036 0.000 0.000 0.884 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.4915 0.44057 0.264 0.004 0.652 0.008 0.072 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.5425 0.23076 0.004 0.012 0.116 0.636 0.004 0.228
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.6125 -0.11700 0.420 0.008 0.000 0.364 0.208 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1444 0.75925 0.928 0.000 0.000 0.000 0.072 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1584 0.75807 0.928 0.000 0.000 0.008 0.064 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.3351 0.56329 0.712 0.000 0.000 0.000 0.288 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 5 0.3330 0.62099 0.284 0.000 0.000 0.000 0.716 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1398 0.75632 0.940 0.000 0.000 0.008 0.052 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.3522 0.63532 0.800 0.000 0.000 0.072 0.128 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.2234 0.60639 0.000 0.872 0.000 0.004 0.000 0.124
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 6 0.2912 0.80349 0.000 0.216 0.000 0.000 0.000 0.784
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.2772 0.53480 0.000 0.816 0.000 0.004 0.000 0.180
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.4221 0.60271 0.008 0.684 0.000 0.020 0.284 0.004
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.1757 0.74248 0.916 0.000 0.000 0.008 0.076 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.2917 0.64235 0.012 0.076 0.000 0.040 0.868 0.004
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.5838 0.13336 0.440 0.000 0.000 0.192 0.368 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.2398 0.67314 0.020 0.104 0.000 0.000 0.876 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 5 0.4390 0.57543 0.092 0.016 0.000 0.132 0.756 0.004
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.2631 0.79343 0.004 0.860 0.000 0.004 0.124 0.008
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.4057 0.08824 0.556 0.000 0.000 0.008 0.436 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.2625 0.73257 0.872 0.000 0.000 0.056 0.072 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.2001 0.74599 0.900 0.004 0.000 0.004 0.092 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 6 0.0937 0.86424 0.000 0.040 0.000 0.000 0.000 0.960
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.6681 0.02273 0.256 0.008 0.396 0.020 0.320 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.1501 0.76002 0.924 0.000 0.000 0.000 0.076 0.000
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#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 5 0.5973 0.21533 0.272 0.000 0.000 0.280 0.448 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.1866 0.79617 0.000 0.908 0.000 0.000 0.084 0.008
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1967 0.74103 0.904 0.000 0.000 0.012 0.084 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2570 0.67822 0.024 0.076 0.000 0.016 0.884 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.2632 0.76549 0.000 0.832 0.000 0.004 0.164 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.3198 0.64049 0.260 0.000 0.000 0.000 0.740 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.2885 0.72571 0.868 0.004 0.044 0.008 0.076 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0972 0.75277 0.964 0.000 0.000 0.008 0.028 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.5390 0.16248 0.540 0.000 0.000 0.328 0.132 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4460 0.20848 0.004 0.404 0.000 0.024 0.568 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.4226 0.62841 0.152 0.000 0.000 0.736 0.112 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3266 0.58868 0.728 0.000 0.000 0.000 0.272 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.3065 0.77616 0.004 0.844 0.000 0.052 0.100 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.2655 0.78258 0.000 0.848 0.000 0.008 0.140 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.3151 0.64453 0.252 0.000 0.000 0.000 0.748 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0891 0.75504 0.968 0.000 0.000 0.008 0.024 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0547 0.75741 0.980 0.000 0.000 0.000 0.020 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 5 0.5659 0.28143 0.336 0.000 0.000 0.168 0.496 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0806 0.75395 0.972 0.000 0.000 0.008 0.020 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.3769 0.39631 0.640 0.000 0.000 0.004 0.356 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.3626 0.61073 0.288 0.004 0.000 0.004 0.704 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.5716 -0.05132 0.444 0.000 0.000 0.392 0.164 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.5421 0.02631 0.032 0.040 0.000 0.424 0.500 0.004
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.3287 0.67293 0.220 0.012 0.000 0.000 0.768 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0993 0.75353 0.964 0.000 0.000 0.012 0.024 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.90831 0.000 0.000 1.000 0.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3830 0.68326 0.084 0.056 0.004 0.040 0.816 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2622 0.72623 0.868 0.004 0.000 0.024 0.104 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.1970 0.79875 0.000 0.900 0.000 0.000 0.092 0.008
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.7182 0.07754 0.408 0.036 0.008 0.140 0.372 0.036
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.3738 0.66298 0.080 0.028 0.000 0.068 0.820 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.5988 -0.13048 0.048 0.068 0.000 0.432 0.448 0.004
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.6485 0.18869 0.040 0.172 0.000 0.292 0.492 0.004
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 6 0.5146 0.69438 0.000 0.236 0.148 0.000 0.000 0.616
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2597 0.70951 0.824 0.000 0.000 0.000 0.176 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3183 0.69961 0.128 0.040 0.000 0.004 0.828 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 5 0.4939 0.18226 0.440 0.000 0.000 0.064 0.496 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.3966 0.67786 0.148 0.008 0.000 0.072 0.772 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6756 0.22580 0.008 0.024 0.116 0.560 0.060 0.232
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.5023 0.11845 0.044 0.012 0.000 0.368 0.572 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.3684 0.48865 0.372 0.000 0.000 0.000 0.628 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.3122 0.64415 0.020 0.160 0.000 0.004 0.816 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0891 0.75234 0.968 0.000 0.000 0.008 0.024 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3578 0.44499 0.660 0.000 0.000 0.000 0.340 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.4692 0.28240 0.040 0.008 0.000 0.312 0.636 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.1477 0.74488 0.940 0.004 0.000 0.008 0.048 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18099 rows and 453 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 0.927 0.943 0.975 0.3508 0.638 0.638
#> 3 3 0.547 0.706 0.864 0.7267 0.704 0.559
#> 4 4 0.751 0.813 0.909 0.1945 0.750 0.464
#> 5 5 0.672 0.580 0.790 0.0931 0.860 0.547
#> 6 6 0.764 0.649 0.825 0.0397 0.908 0.607
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9890 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9890 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9890 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9890 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.3733 0.9094 0.928 0.072
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9890 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9890 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9890 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9890 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9890 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.9890 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.9460 0.5186 0.364 0.636
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0000 0.9890 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9216 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9890 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9890 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.9890 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9890 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9216 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.9890 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9890 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9890 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0938 0.9771 0.988 0.012
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9890 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9890 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9216 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9890 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9890 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9890 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9890 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9890 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9890 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.9890 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9890 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9216 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9216 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.5629 0.8299 0.868 0.132
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9890 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9216 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9890 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9216 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9890 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9216 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9216 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9890 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9890 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9890 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9890 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9890 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9890 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9890 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9216 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9890 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9890 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9890 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.9209 0.5464 0.336 0.664
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9216 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9890 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0376 0.9199 0.004 0.996
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.9890 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9890 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9216 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9890 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0376 0.9852 0.996 0.004
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.9129 0.4560 0.672 0.328
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9890 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.5946 0.8239 0.144 0.856
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.9890 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9216 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9890 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.7219 0.7701 0.200 0.800
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9216 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.9216 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.9890 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9890 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.9970 -0.0226 0.532 0.468
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0938 0.9161 0.012 0.988
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#> BD6F3BA4-E09B-4B56-949B-CBF56B014362 1 0.0000 0.9890 1.000 0.000
#> 9295B925-4FC4-428B-BB7D-9D15E9933BB0 2 0.1414 0.9118 0.020 0.980
#> 96353D0E-7287-4E5F-BC6A-B39A5E289705 2 0.0000 0.9216 0.000 1.000
#> 007234A0-BE80-4E10-BB32-EE26DBBBF853 2 0.0000 0.9216 0.000 1.000
#> FDD429E9-0568-4BFE-B412-F245B5FAB276 1 0.0000 0.9890 1.000 0.000
#> 499838B2-C858-4871-92B8-39116DAE188B 2 0.0000 0.9216 0.000 1.000
#> 658AB71F-89E9-4513-B8E1-0137791A9617 1 0.0000 0.9890 1.000 0.000
#> 00753944-84E2-4134-8EE4-C286CB967198 2 0.0000 0.9216 0.000 1.000
#> 457F567F-F3F3-4969-BA91-9352F1956D89 1 0.0000 0.9890 1.000 0.000
#> 3F962513-9A2D-43C1-8873-D8404F7A2BA3 1 0.0000 0.9890 1.000 0.000
#> 5E6353C0-CD05-44ED-8A9E-9EB008F98795 1 0.0000 0.9890 1.000 0.000
#> 3426E239-7D86-4FD5-8F46-9DC79BE7AA35 2 0.0000 0.9216 0.000 1.000
#> 05F51B84-EDF5-4E71-95B9-BF9CD4E4A131 2 0.9000 0.5848 0.316 0.684
#> 5210B06A-EE78-4301-BFE9-5D60C7380FA5 1 0.0000 0.9890 1.000 0.000
#> D65DAD9A-B276-417F-A169-C9491402E42B 2 0.0000 0.9216 0.000 1.000
#> 2125E0D7-E56D-4F21-8E81-44C37D3298DE 2 0.0000 0.9216 0.000 1.000
#> 617478C8-4A5D-4330-BE34-6F19CB65C0C5 2 0.0000 0.9216 0.000 1.000
#> 955CFCD0-A331-43B2-B137-9E5C0AEDBD58 1 0.0000 0.9890 1.000 0.000
#> 154262F3-6316-48CF-97F6-CF72398B970F 1 0.0000 0.9890 1.000 0.000
#> DD04A6C8-FA62-4565-9069-D4F043739EFF 1 0.0000 0.9890 1.000 0.000
#> E5157C9F-B1C0-40CD-AA6E-13E82EDB987A 1 0.0000 0.9890 1.000 0.000
#> AA4D9A22-A8FA-4C41-8B73-D337656CB35B 1 0.0000 0.9890 1.000 0.000
#> E8AC87A0-AB40-496F-8C38-C067ECEC5057 2 0.0000 0.9216 0.000 1.000
#> A713AE2F-4D92-41B2-997A-EDA192242ABF 1 0.0000 0.9890 1.000 0.000
#> 3C25C3FD-380E-4DEE-943B-B58690DB65FD 1 0.0000 0.9890 1.000 0.000
#> 026F6BFF-4E29-47EF-9C88-63E1E1DD29E9 2 0.0672 0.9181 0.008 0.992
#> 91988595-BAA0-447E-B85E-D19B435C2360 1 0.0000 0.9890 1.000 0.000
#> E25D9A9E-B58C-4518-9B2C-A475B12AE161 1 0.0000 0.9890 1.000 0.000
#> 9CBD937D-72F2-4F05-A670-9D231FEAB3EC 2 0.0000 0.9216 0.000 1.000
#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.0000 0.9890 1.000 0.000
#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.0000 0.9890 1.000 0.000
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.0000 0.9216 0.000 1.000
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.0000 0.9890 1.000 0.000
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.0000 0.9890 1.000 0.000
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 2 0.7950 0.7238 0.240 0.760
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0000 0.9890 1.000 0.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 1 0.0000 0.9890 1.000 0.000
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.0000 0.9890 1.000 0.000
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.0000 0.9890 1.000 0.000
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.0000 0.9890 1.000 0.000
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.0000 0.9890 1.000 0.000
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 2 0.7453 0.7570 0.212 0.788
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 1 0.0000 0.9890 1.000 0.000
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.0000 0.9890 1.000 0.000
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 1 0.2948 0.9337 0.948 0.052
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.0000 0.9890 1.000 0.000
#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.7950 0.7235 0.240 0.760
#> 64DE217D-A810-481E-A654-7D1B36D2858E 1 0.0000 0.9890 1.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0376 0.9852 0.996 0.004
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.9635 0.4668 0.388 0.612
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9216 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9216 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.7219 0.7705 0.200 0.800
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9216 0.000 1.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.9216 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.9890 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.9890 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.0000 0.9216 0.000 1.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.9890 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.9890 1.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9216 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.9890 1.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.9890 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.9890 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9890 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.0000 0.9890 1.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.0000 0.9890 1.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.0000 0.9890 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.8555 0.6512 0.280 0.720
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9890 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 2 0.9850 0.3253 0.428 0.572
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.9890 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.0000 0.9890 1.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.0000 0.9890 1.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9890 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.9890 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.9710 0.4389 0.400 0.600
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.9890 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0376 0.9852 0.996 0.004
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.9890 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.9890 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.9890 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9216 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.9890 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.9890 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.9890 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9890 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.9890 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9890 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.9890 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.9890 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.8909 0.5010 0.692 0.308
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.9890 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.1184 0.9730 0.984 0.016
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9216 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9890 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9890 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9890 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9890 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.9890 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9216 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9890 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9216 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9890 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9890 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9890 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9890 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0672 0.9814 0.992 0.008
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9890 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9890 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.6623 0.7980 0.172 0.828
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9890 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0672 0.9181 0.008 0.992
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9890 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9890 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9890 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9890 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9216 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9890 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9890 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.9890 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9890 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.0000 0.9890 1.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9216 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9890 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9890 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9890 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9890 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9890 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9890 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9890 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9890 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9890 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9890 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9890 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9890 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9890 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9890 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9216 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9890 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9890 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.7056 0.7419 0.808 0.192
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.1414 0.9119 0.020 0.980
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9890 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9890 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9890 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9890 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9216 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9890 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9890 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9216 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.1414 0.9119 0.020 0.980
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9890 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9890 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9890 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9890 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9890 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9890 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9890 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9890 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.7139 0.7611 0.196 0.804
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.9890 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9890 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.8608 0.6618 0.284 0.716
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9890 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9890 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9216 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9890 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9890 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.1414 0.9691 0.980 0.020
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.1414 0.9119 0.020 0.980
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9216 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9890 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9890 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9890 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9890 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.9686 0.4485 0.396 0.604
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.9890 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9890 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.6973 0.7486 0.812 0.188
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9890 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9890 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9890 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9890 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2165 0.79832 0.936 0.000 0.064
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.1031 0.75087 0.024 0.000 0.976
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.5327 0.65076 0.728 0.000 0.272
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#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.89537 0.000 1.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 3 0.6095 0.51631 0.392 0.000 0.608
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0237 0.83616 0.996 0.000 0.004
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.6244 0.35469 0.560 0.000 0.440
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0237 0.83616 0.996 0.000 0.004
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.3038 0.80315 0.896 0.000 0.104
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.1163 0.82545 0.972 0.000 0.028
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.5650 0.59323 0.688 0.000 0.312
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.6062 0.47192 0.616 0.000 0.384
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.3272 0.71924 0.016 0.080 0.904
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.3551 0.74893 0.868 0.000 0.132
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.5431 0.60292 0.716 0.284 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.89537 0.000 1.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0237 0.83616 0.996 0.000 0.004
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.6295 -0.20705 0.528 0.000 0.472
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.6204 0.46331 0.424 0.000 0.576
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 3 0.6307 0.31687 0.488 0.000 0.512
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.6305 -0.16552 0.484 0.000 0.516
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.2945 0.83819 0.004 0.908 0.088
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.5098 0.51814 0.752 0.000 0.248
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.89537 0.000 1.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.6215 0.38078 0.572 0.000 0.428
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.83627 1.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.83627 1.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.6225 0.44780 0.432 0.000 0.568
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.6779 0.34475 0.012 0.544 0.444
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0424 0.83489 0.992 0.000 0.008
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0424 0.83582 0.992 0.000 0.008
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.89537 0.000 1.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0237 0.83616 0.996 0.000 0.004
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.2448 0.83810 0.000 0.924 0.076
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0892 0.82956 0.980 0.000 0.020
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0237 0.83616 0.996 0.000 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.6126 0.50420 0.400 0.000 0.600
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.6045 0.13886 0.620 0.000 0.380
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.89537 0.000 1.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.3686 0.78232 0.860 0.000 0.140
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.3482 0.76079 0.128 0.000 0.872
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.2959 0.80493 0.900 0.000 0.100
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.2959 0.76651 0.100 0.000 0.900
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.3039 0.74994 0.044 0.036 0.920
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.1643 0.86234 0.044 0.956 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.2165 0.79993 0.936 0.000 0.064
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0237 0.83616 0.996 0.000 0.004
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 3 0.5529 0.41471 0.296 0.000 0.704
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.6267 0.32695 0.548 0.000 0.452
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0237 0.83616 0.996 0.000 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.6192 0.47040 0.420 0.000 0.580
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1031 0.83076 0.976 0.000 0.024
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.6274 0.31718 0.544 0.000 0.456
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0237 0.83616 0.996 0.000 0.004
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0237 0.83616 0.996 0.000 0.004
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2878 0.80673 0.904 0.000 0.096
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.83627 1.000 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0237 0.83616 0.996 0.000 0.004
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.83627 1.000 0.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.89537 0.000 1.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.83627 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.2448 0.76540 0.076 0.000 0.924
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.4799 0.77078 0.836 0.032 0.132
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.89537 0.000 1.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3551 0.78746 0.868 0.000 0.132
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3192 0.76375 0.112 0.000 0.888
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.5621 0.62991 0.308 0.000 0.692
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0237 0.83616 0.996 0.000 0.004
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.8103 0.50676 0.248 0.632 0.120
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0237 0.83616 0.996 0.000 0.004
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3116 0.80102 0.892 0.000 0.108
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.89537 0.000 1.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.2959 0.83349 0.000 0.900 0.100
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4346 0.74756 0.816 0.000 0.184
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.6302 0.33818 0.480 0.000 0.520
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.6192 -0.01702 0.580 0.000 0.420
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0892 0.83397 0.980 0.000 0.020
#> 151D2793-713F-46BE-A553-A1011E8002E2 3 0.6295 0.35855 0.472 0.000 0.528
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.5621 0.62715 0.308 0.000 0.692
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.3482 0.78977 0.872 0.000 0.128
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0237 0.83616 0.996 0.000 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.7987 0.50500 0.092 0.616 0.292
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.5529 0.61495 0.704 0.000 0.296
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 3 0.6215 0.45557 0.428 0.000 0.572
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.2959 0.70054 0.000 0.100 0.900
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.1163 0.73288 0.028 0.000 0.972
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.6154 0.49180 0.408 0.000 0.592
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.89537 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0424 0.83489 0.992 0.000 0.008
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3192 0.79888 0.888 0.000 0.112
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.6345 0.28698 0.596 0.400 0.004
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.89537 0.000 1.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.89537 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1643 0.82800 0.956 0.000 0.044
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.0592 0.73521 0.012 0.000 0.988
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0592 0.83351 0.988 0.000 0.012
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.83627 1.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.6398 0.36442 0.372 0.620 0.008
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0237 0.83616 0.996 0.000 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.3340 0.79427 0.880 0.000 0.120
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.8966 0.43087 0.560 0.256 0.184
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 3 0.6280 0.38825 0.460 0.000 0.540
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5291 0.65763 0.732 0.000 0.268
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.1411 0.82006 0.964 0.000 0.036
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.3340 0.76078 0.120 0.000 0.880
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.1022 0.8733 0.000 0.000 0.032 0.968
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.4817 0.4188 0.000 0.000 0.388 0.612
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.2973 0.7911 0.144 0.000 0.000 0.856
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.3219 0.8352 0.164 0.000 0.000 0.836
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3266 0.7462 0.832 0.000 0.000 0.168
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.1867 0.8847 0.072 0.000 0.000 0.928
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4776 0.3976 0.376 0.000 0.624 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1302 0.8863 0.956 0.000 0.000 0.044
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.2011 0.8263 0.000 0.000 0.920 0.080
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.2216 0.8175 0.000 0.000 0.908 0.092
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.4019 0.7562 0.012 0.000 0.196 0.792
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4477 0.6494 0.312 0.000 0.000 0.688
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.6783 0.4160 0.572 0.000 0.124 0.304
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.2589 0.8008 0.000 0.000 0.884 0.116
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.8205 0.4386 0.100 0.100 0.548 0.252
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0188 0.9036 0.996 0.000 0.000 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3074 0.8005 0.848 0.000 0.000 0.152
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1854 0.8765 0.940 0.000 0.012 0.048
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.6688 0.2501 0.420 0.088 0.000 0.492
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.1557 0.8723 0.000 0.000 0.056 0.944
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.1474 0.8891 0.000 0.948 0.052 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2216 0.8781 0.092 0.000 0.000 0.908
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0336 0.9022 0.992 0.000 0.000 0.008
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.0469 0.8651 0.000 0.000 0.988 0.012
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.1211 0.8971 0.040 0.960 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0336 0.9020 0.992 0.000 0.000 0.008
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.3942 0.7654 0.236 0.000 0.000 0.764
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.3610 0.7224 0.800 0.000 0.200 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2281 0.8767 0.096 0.000 0.000 0.904
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0188 0.9038 0.996 0.000 0.000 0.004
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1302 0.8756 0.000 0.000 0.044 0.956
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.3219 0.8362 0.164 0.000 0.000 0.836
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0592 0.8804 0.000 0.000 0.016 0.984
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.2281 0.8767 0.096 0.000 0.000 0.904
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.3311 0.7945 0.000 0.172 0.000 0.828
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 1 0.2589 0.8283 0.884 0.116 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.2149 0.8792 0.088 0.000 0.000 0.912
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0188 0.8844 0.000 0.000 0.004 0.996
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.1867 0.8475 0.000 0.000 0.072 0.928
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0469 0.9001 0.988 0.000 0.012 0.000
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#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.2281 0.8373 0.904 0.000 0.096 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.4948 0.2988 0.000 0.000 0.560 0.440
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.2699 0.8471 0.068 0.000 0.028 0.904
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0188 0.8859 0.004 0.000 0.000 0.996
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.1716 0.8627 0.936 0.000 0.000 0.064
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.2281 0.8767 0.096 0.000 0.000 0.904
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.2345 0.8750 0.100 0.000 0.000 0.900
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0817 0.9100 0.024 0.976 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.2530 0.8689 0.112 0.000 0.000 0.888
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.2281 0.8767 0.096 0.000 0.000 0.904
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.0188 0.9037 0.996 0.004 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1302 0.8796 0.956 0.000 0.000 0.044
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0188 0.9268 0.000 0.996 0.000 0.004
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.4761 0.4250 0.628 0.372 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.4164 0.6691 0.000 0.000 0.264 0.736
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.2216 0.8492 0.000 0.000 0.092 0.908
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.3688 0.7960 0.208 0.000 0.000 0.792
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.2281 0.8414 0.000 0.000 0.096 0.904
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2216 0.8468 0.908 0.092 0.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.4164 0.5902 0.000 0.000 0.264 0.736
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.8703 0.000 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.2589 0.8203 0.884 0.000 0.116 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.4898 0.3728 0.000 0.000 0.584 0.416
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.2530 0.8408 0.000 0.000 0.112 0.888
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0336 0.9020 0.992 0.000 0.000 0.008
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0817 0.8757 0.000 0.024 0.000 0.976
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9293 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.4907 0.4192 0.420 0.000 0.000 0.580
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.3311 0.7598 0.828 0.000 0.172 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.2281 0.8767 0.096 0.000 0.000 0.904
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.6519 0.3978 0.096 0.584 0.000 0.320
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.2345 0.8750 0.100 0.000 0.000 0.900
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0336 0.9020 0.992 0.000 0.000 0.008
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.2281 0.8508 0.000 0.000 0.096 0.904
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9049 1.000 0.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.8851 0.000 0.000 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.8703 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2690 0.46946 0.844 0.000 0.000 0.156 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0703 0.85335 0.024 0.000 0.976 0.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.2127 0.75525 0.108 0.000 0.000 0.000 0.892
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4924 0.24722 0.552 0.000 0.420 0.028 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.4227 0.35107 0.420 0.000 0.000 0.580 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.4815 0.25020 0.456 0.000 0.000 0.524 0.020
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4297 0.38738 0.692 0.000 0.000 0.020 0.288
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 5 0.4841 0.23639 0.416 0.000 0.000 0.024 0.560
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.3477 0.50058 0.824 0.000 0.000 0.136 0.040
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.1197 0.84247 0.048 0.000 0.952 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3534 0.63427 0.000 0.000 0.744 0.000 0.256
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.4481 0.13386 0.576 0.000 0.000 0.008 0.416
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4084 0.57938 0.328 0.000 0.668 0.004 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4152 0.60391 0.296 0.000 0.692 0.012 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.0162 0.80934 0.004 0.000 0.000 0.000 0.996
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.6076 0.33937 0.536 0.000 0.320 0.144 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4948 0.27072 0.536 0.000 0.000 0.436 0.028
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.1270 0.78718 0.000 0.000 0.000 0.052 0.948
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0290 0.72295 0.008 0.000 0.000 0.992 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4126 0.28341 0.620 0.000 0.380 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4430 0.52913 0.360 0.000 0.628 0.012 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.0000 0.80928 0.000 0.000 0.000 0.000 1.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.7471 -0.02317 0.376 0.080 0.412 0.132 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.4287 0.17439 0.460 0.000 0.000 0.000 0.540
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.6148 0.27820 0.552 0.000 0.000 0.180 0.268
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.4779 -0.02456 0.536 0.000 0.004 0.012 0.448
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.7984 0.05318 0.220 0.164 0.000 0.452 0.164
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.2136 0.65440 0.088 0.000 0.008 0.904 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0609 0.88891 0.000 0.980 0.020 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0404 0.71771 0.012 0.000 0.000 0.988 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.1908 0.74421 0.000 0.000 0.000 0.092 0.908
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.3949 0.58417 0.332 0.000 0.668 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4074 0.44377 0.000 0.636 0.000 0.000 0.364
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 5 0.4278 0.19019 0.452 0.000 0.000 0.000 0.548
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.6746 0.31414 0.392 0.000 0.000 0.344 0.264
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.3774 0.49906 0.000 0.000 0.296 0.000 0.704
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0404 0.71771 0.012 0.000 0.000 0.988 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.4201 0.30567 0.408 0.000 0.000 0.000 0.592
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.2754 0.73496 0.040 0.000 0.000 0.080 0.880
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1792 0.69000 0.000 0.000 0.084 0.916 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5233 0.41449 0.636 0.000 0.000 0.076 0.288
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.3398 0.60436 0.216 0.000 0.004 0.780 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.2929 0.54742 0.180 0.000 0.000 0.820 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.2648 0.64758 0.000 0.152 0.000 0.848 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.3210 0.62697 0.000 0.212 0.000 0.000 0.788
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.72174 0.000 0.000 0.000 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.1041 0.87795 0.004 0.964 0.000 0.032 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.0290 0.80930 0.008 0.000 0.000 0.000 0.992
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0912 0.72369 0.016 0.000 0.012 0.972 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2798 0.47881 0.852 0.000 0.008 0.140 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.0000 0.80928 0.000 0.000 0.000 0.000 1.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.5697 0.18471 0.480 0.068 0.000 0.448 0.004
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4397 0.29329 0.564 0.000 0.000 0.432 0.004
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.0000 0.80928 0.000 0.000 0.000 0.000 1.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.3796 0.51831 0.300 0.000 0.000 0.700 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0162 0.86188 0.000 0.004 0.996 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.4060 0.38496 0.000 0.640 0.000 0.360 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.3210 0.66738 0.000 0.788 0.212 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.2230 0.67842 0.116 0.000 0.000 0.884 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.0162 0.80969 0.004 0.000 0.000 0.000 0.996
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.4142 0.60178 0.004 0.728 0.016 0.000 0.252
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.1544 0.84927 0.000 0.932 0.000 0.000 0.068
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.3796 0.55128 0.000 0.000 0.700 0.000 0.300
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4415 0.27046 0.552 0.000 0.000 0.444 0.004
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.2929 0.74933 0.180 0.000 0.820 0.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.4297 0.13885 0.472 0.000 0.000 0.000 0.528
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0404 0.71771 0.012 0.000 0.000 0.988 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4232 0.35083 0.676 0.000 0.000 0.012 0.312
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2612 0.48878 0.868 0.000 0.008 0.124 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.3983 0.31148 0.660 0.000 0.000 0.000 0.340
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.2377 0.74064 0.128 0.000 0.000 0.000 0.872
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0162 0.86249 0.004 0.000 0.996 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.4430 0.25114 0.540 0.000 0.000 0.456 0.004
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0000 0.72174 0.000 0.000 0.000 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2972 0.51967 0.864 0.000 0.004 0.024 0.108
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.2488 0.51352 0.872 0.000 0.000 0.124 0.004
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 5 0.3508 0.58629 0.252 0.000 0.000 0.000 0.748
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 5 0.0162 0.80969 0.004 0.000 0.000 0.000 0.996
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#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4430 0.25080 0.540 0.000 0.000 0.456 0.004
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0324 0.89728 0.004 0.992 0.000 0.000 0.004
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.4341 0.37194 0.592 0.000 0.000 0.404 0.004
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.0162 0.80934 0.004 0.000 0.000 0.000 0.996
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0162 0.89982 0.004 0.996 0.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.4060 0.40755 0.360 0.000 0.000 0.000 0.640
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.1671 0.81142 0.076 0.000 0.924 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.4437 0.27209 0.532 0.000 0.000 0.464 0.004
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0162 0.80934 0.004 0.000 0.000 0.000 0.996
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0609 0.72343 0.020 0.000 0.000 0.980 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.4437 0.14595 0.464 0.000 0.000 0.004 0.532
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4256 0.19505 0.000 0.564 0.000 0.436 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.3579 0.62600 0.004 0.756 0.000 0.000 0.240
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.2179 0.75415 0.112 0.000 0.000 0.000 0.888
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.6524 0.34482 0.444 0.000 0.356 0.200 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.3003 0.60460 0.000 0.000 0.188 0.812 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.6402 0.41721 0.508 0.000 0.000 0.276 0.216
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.5931 0.31963 0.204 0.000 0.200 0.596 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.2732 0.71832 0.160 0.000 0.840 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.1197 0.79527 0.048 0.000 0.000 0.000 0.952
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0404 0.72331 0.012 0.000 0.000 0.988 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.0162 0.80807 0.000 0.004 0.000 0.000 0.996
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.0290 0.80930 0.008 0.000 0.000 0.000 0.992
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2864 0.49278 0.864 0.000 0.024 0.112 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3305 0.60655 0.000 0.000 0.224 0.000 0.776
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.6674 0.01398 0.436 0.000 0.260 0.304 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.5341 0.22341 0.504 0.000 0.052 0.444 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.1638 0.77782 0.004 0.000 0.000 0.064 0.932
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.4276 0.54021 0.032 0.244 0.000 0.724 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.90232 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4218 0.32148 0.660 0.000 0.000 0.008 0.332
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3796 0.48288 0.000 0.000 0.300 0.000 0.700
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.3983 0.47121 0.340 0.000 0.000 0.660 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.1522 0.70409 0.012 0.000 0.000 0.944 0.044
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.7052 0.05299 0.280 0.276 0.008 0.432 0.004
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.2488 0.61900 0.124 0.004 0.000 0.872 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.1478 0.78601 0.064 0.000 0.000 0.000 0.936
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4030 0.42366 0.352 0.000 0.000 0.000 0.648
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4929 0.51338 0.716 0.000 0.136 0.148 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.3074 0.66315 0.196 0.000 0.000 0.000 0.804
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3796 0.51831 0.300 0.000 0.000 0.700 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.86339 0.000 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2631 0.58857 0.856 0.000 0.000 0.012 0.004 0.128
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.1176 0.87219 0.024 0.000 0.956 0.000 0.000 0.020
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.4125 0.60137 0.184 0.000 0.000 0.000 0.736 0.080
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 6 0.6206 0.20613 0.292 0.000 0.312 0.004 0.000 0.392
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3774 0.23761 0.592 0.000 0.000 0.408 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1493 0.61903 0.936 0.000 0.000 0.056 0.004 0.004
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 6 0.4079 0.38621 0.380 0.000 0.000 0.004 0.008 0.608
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 5 0.5700 0.19805 0.396 0.000 0.000 0.004 0.460 0.140
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.3012 0.52377 0.796 0.000 0.000 0.008 0.000 0.196
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.1858 0.82976 0.076 0.000 0.912 0.000 0.000 0.012
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.2912 0.71573 0.000 0.000 0.784 0.000 0.216 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0146 0.88320 0.004 0.000 0.996 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.0146 0.88326 0.004 0.000 0.996 0.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2389 0.58600 0.864 0.000 0.000 0.000 0.008 0.128
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.3828 0.14229 0.560 0.000 0.440 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.3868 0.01166 0.508 0.000 0.492 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0260 0.91539 0.008 0.992 0.000 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.1265 0.75415 0.044 0.000 0.000 0.000 0.948 0.008
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 6 0.3126 0.44752 0.000 0.000 0.248 0.000 0.000 0.752
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.1003 0.61725 0.000 0.000 0.000 0.020 0.016 0.964
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4385 0.16416 0.024 0.000 0.000 0.444 0.532 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 6 0.5461 0.41563 0.164 0.000 0.248 0.000 0.004 0.584
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0790 0.90485 0.032 0.968 0.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.3659 0.31267 0.636 0.000 0.364 0.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.0632 0.75809 0.000 0.000 0.000 0.000 0.976 0.024
#> 54F31962-F589-4C36-B597-3965989EA02E 6 0.2431 0.54717 0.000 0.008 0.132 0.000 0.000 0.860
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.5808 0.19310 0.316 0.000 0.000 0.000 0.480 0.204
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.1409 0.62034 0.948 0.000 0.000 0.008 0.032 0.012
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1806 0.61814 0.928 0.000 0.020 0.000 0.008 0.044
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 6 0.6337 0.32067 0.072 0.016 0.000 0.068 0.308 0.536
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.0146 0.93324 0.000 0.000 0.000 0.996 0.000 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.2058 0.87959 0.056 0.916 0.016 0.000 0.008 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0508 0.91218 0.012 0.984 0.000 0.000 0.000 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0146 0.91665 0.000 0.996 0.000 0.000 0.000 0.004
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3694 0.64611 0.048 0.000 0.000 0.156 0.788 0.008
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3817 0.16980 0.568 0.000 0.432 0.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4593 0.44278 0.040 0.604 0.000 0.000 0.352 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 5 0.5705 0.23445 0.308 0.000 0.000 0.000 0.504 0.188
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 6 0.6755 0.17982 0.040 0.000 0.000 0.256 0.324 0.380
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.4150 0.26429 0.012 0.000 0.372 0.000 0.612 0.004
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.5499 0.27200 0.348 0.000 0.000 0.000 0.512 0.140
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 6 0.4466 0.00341 0.016 0.000 0.000 0.008 0.440 0.536
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5631 0.04225 0.516 0.000 0.000 0.004 0.144 0.336
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0260 0.93271 0.008 0.000 0.000 0.992 0.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0865 0.91007 0.000 0.000 0.000 0.964 0.000 0.036
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0260 0.93208 0.000 0.008 0.000 0.992 0.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.2340 0.67862 0.000 0.148 0.000 0.000 0.852 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0146 0.93373 0.000 0.000 0.000 0.996 0.000 0.004
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.1219 0.89520 0.048 0.948 0.000 0.000 0.000 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.0820 0.75984 0.016 0.000 0.000 0.000 0.972 0.012
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0146 0.93320 0.000 0.000 0.000 0.996 0.004 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2263 0.60538 0.884 0.000 0.000 0.016 0.000 0.100
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.0000 0.75678 0.000 0.000 0.000 0.000 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 6 0.1931 0.60014 0.004 0.040 0.004 0.028 0.000 0.924
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 6 0.1223 0.61659 0.008 0.000 0.012 0.016 0.004 0.960
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.0146 0.75711 0.000 0.000 0.000 0.000 0.996 0.004
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0363 0.93095 0.012 0.000 0.000 0.988 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.2793 0.74020 0.000 0.200 0.000 0.800 0.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.3428 0.52393 0.000 0.696 0.304 0.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.4397 0.47682 0.296 0.016 0.000 0.664 0.000 0.024
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.0508 0.75825 0.004 0.000 0.000 0.000 0.984 0.012
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.5447 0.21382 0.044 0.516 0.012 0.000 0.408 0.020
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.3368 0.78193 0.060 0.820 0.000 0.000 0.116 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.2260 0.79494 0.000 0.000 0.860 0.000 0.140 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 6 0.0405 0.61874 0.000 0.000 0.000 0.008 0.004 0.988
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.3971 0.10310 0.548 0.000 0.448 0.000 0.000 0.004
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.5944 0.10841 0.304 0.000 0.000 0.000 0.452 0.244
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 6 0.4118 0.42244 0.352 0.000 0.000 0.000 0.020 0.628
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2794 0.58493 0.840 0.000 0.000 0.012 0.004 0.144
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.4181 0.28901 0.644 0.000 0.000 0.000 0.028 0.328
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.4039 0.50778 0.352 0.000 0.000 0.000 0.632 0.016
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0260 0.88184 0.008 0.000 0.992 0.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 6 0.1268 0.61377 0.008 0.000 0.004 0.036 0.000 0.952
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2009 0.61001 0.904 0.000 0.000 0.004 0.008 0.084
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 6 0.3995 0.17349 0.480 0.000 0.000 0.004 0.000 0.516
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 5 0.4718 0.52717 0.200 0.000 0.000 0.000 0.676 0.124
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 5 0.0547 0.75804 0.000 0.000 0.000 0.000 0.980 0.020
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.6214 -0.05317 0.388 0.000 0.300 0.004 0.000 0.308
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.4892 -0.09942 0.440 0.000 0.000 0.500 0.000 0.060
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#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.0363 0.88091 0.012 0.000 0.988 0.000 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.4392 0.06375 0.504 0.004 0.476 0.000 0.000 0.016
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 6 0.3003 0.50207 0.000 0.172 0.000 0.016 0.000 0.812
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 6 0.1453 0.60875 0.008 0.000 0.040 0.008 0.000 0.944
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3658 0.51704 0.752 0.000 0.000 0.216 0.000 0.032
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.0508 0.75822 0.004 0.000 0.000 0.000 0.984 0.012
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.0458 0.75770 0.000 0.000 0.000 0.000 0.984 0.016
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.1663 0.86974 0.088 0.000 0.000 0.912 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.4191 0.57996 0.240 0.000 0.704 0.056 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1622 0.62460 0.940 0.000 0.000 0.016 0.016 0.028
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.3122 0.70399 0.176 0.000 0.000 0.000 0.804 0.020
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0146 0.93418 0.004 0.000 0.000 0.996 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 6 0.2762 0.60225 0.048 0.000 0.000 0.000 0.092 0.860
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0146 0.93324 0.000 0.000 0.000 0.996 0.000 0.004
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.1910 0.84707 0.108 0.000 0.000 0.892 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 6 0.0547 0.61850 0.000 0.000 0.000 0.020 0.000 0.980
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 6 0.3942 0.40320 0.368 0.000 0.000 0.004 0.004 0.624
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.1219 0.75308 0.048 0.000 0.000 0.000 0.948 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.1769 0.88222 0.060 0.924 0.000 0.000 0.012 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.5366 0.37639 0.284 0.000 0.000 0.000 0.568 0.148
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.2003 0.78204 0.116 0.000 0.884 0.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 6 0.4205 0.54878 0.188 0.000 0.000 0.084 0.000 0.728
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.1693 0.75109 0.044 0.020 0.000 0.000 0.932 0.004
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.5716 0.23232 0.312 0.000 0.000 0.000 0.500 0.188
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.1765 0.85674 0.000 0.096 0.000 0.904 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4311 0.63346 0.060 0.708 0.000 0.000 0.228 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.4074 0.63076 0.140 0.000 0.000 0.000 0.752 0.108
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.6211 0.08207 0.332 0.000 0.500 0.048 0.000 0.120
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.0713 0.91943 0.000 0.000 0.028 0.972 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 6 0.6938 0.36337 0.088 0.000 0.000 0.220 0.232 0.460
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.5956 0.41224 0.136 0.000 0.240 0.580 0.000 0.044
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.3487 0.58688 0.224 0.000 0.756 0.000 0.000 0.020
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.3375 0.68961 0.096 0.000 0.000 0.000 0.816 0.088
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.93493 0.000 0.000 0.000 1.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.0146 0.75711 0.000 0.000 0.000 0.000 0.996 0.004
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.1682 0.75427 0.052 0.000 0.000 0.000 0.928 0.020
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2002 0.62267 0.916 0.000 0.020 0.008 0.000 0.056
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3923 0.26270 0.000 0.000 0.372 0.000 0.620 0.008
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.3557 0.55662 0.800 0.000 0.140 0.056 0.000 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.1668 0.88455 0.060 0.928 0.000 0.000 0.008 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 6 0.2121 0.57333 0.000 0.000 0.096 0.012 0.000 0.892
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.4148 0.63020 0.048 0.000 0.000 0.188 0.748 0.016
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0146 0.93418 0.004 0.000 0.000 0.996 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.91800 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 6 0.4420 0.40173 0.360 0.000 0.000 0.000 0.036 0.604
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4521 0.00916 0.024 0.000 0.448 0.000 0.524 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0790 0.91952 0.032 0.000 0.000 0.968 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.1511 0.90444 0.032 0.000 0.000 0.944 0.012 0.012
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 6 0.2752 0.55230 0.000 0.104 0.012 0.020 0.000 0.864
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0520 0.92743 0.008 0.000 0.000 0.984 0.000 0.008
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.3558 0.66671 0.088 0.000 0.000 0.000 0.800 0.112
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.5219 0.39647 0.296 0.000 0.000 0.000 0.580 0.124
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4537 -0.12169 0.492 0.000 0.024 0.004 0.000 0.480
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.4608 0.53714 0.220 0.000 0.000 0.000 0.680 0.100
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0363 0.93095 0.012 0.000 0.000 0.988 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.88421 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 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 0.606 0.903 0.940 0.2033 0.861 0.861
#> 3 3 0.424 0.822 0.895 0.6629 0.875 0.855
#> 4 4 0.365 0.535 0.764 0.4684 0.808 0.740
#> 5 5 0.413 0.686 0.810 0.1596 0.819 0.682
#> 6 6 0.436 0.656 0.812 0.0776 0.977 0.946
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.939 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1184 0.937 0.984 0.016
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.939 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2043 0.930 0.968 0.032
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.2423 0.929 0.960 0.040
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.939 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0376 0.939 0.996 0.004
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.939 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.939 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.939 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.1633 0.936 0.976 0.024
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.3431 0.921 0.936 0.064
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.2778 0.923 0.952 0.048
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.5737 0.948 0.136 0.864
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2423 0.927 0.960 0.040
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.939 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.2778 0.923 0.952 0.048
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.2778 0.923 0.952 0.048
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.6247 0.822 0.844 0.156
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0376 0.939 0.996 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.939 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.2603 0.925 0.956 0.044
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.939 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0938 0.938 0.988 0.012
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.939 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 1 0.8016 0.685 0.756 0.244
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.939 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.939 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.2423 0.927 0.960 0.040
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.939 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.939 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.939 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.2948 0.928 0.948 0.052
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0376 0.939 0.996 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.4562 0.895 0.904 0.096
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 1 0.8443 0.640 0.728 0.272
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.2423 0.929 0.960 0.040
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.3733 0.905 0.928 0.072
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 1 0.8386 0.637 0.732 0.268
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.939 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.4690 0.979 0.100 0.900
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2603 0.925 0.956 0.044
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 1 0.5059 0.878 0.888 0.112
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.4690 0.979 0.100 0.900
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.939 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1184 0.937 0.984 0.016
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0672 0.938 0.992 0.008
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.3733 0.905 0.928 0.072
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.939 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.4690 0.880 0.900 0.100
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.8443 0.667 0.728 0.272
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.4690 0.979 0.100 0.900
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.939 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.8267 0.687 0.740 0.260
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.1843 0.932 0.972 0.028
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#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.1633 0.935 0.976 0.024
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.939 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.5294 0.869 0.880 0.120
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.4690 0.880 0.900 0.100
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.939 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.8661 0.637 0.712 0.288
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.6712 0.791 0.824 0.176
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.4815 0.975 0.104 0.896
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.939 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0672 0.938 0.992 0.008
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.2948 0.922 0.948 0.052
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.1633 0.934 0.976 0.024
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.4690 0.880 0.900 0.100
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2423 0.926 0.960 0.040
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.939 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.4815 0.880 0.896 0.104
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.939 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.939 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.8608 0.645 0.716 0.284
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2423 0.927 0.960 0.040
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.8791 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1031 0.8790 0.976 0.000 0.024
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.8791 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2537 0.8425 0.920 0.000 0.080
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4351 0.7959 0.828 0.004 0.168
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.8791 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0424 0.8795 0.992 0.000 0.008
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.8791 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.8791 1.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1031 0.8784 0.976 0.000 0.024
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3826 0.8334 0.868 0.008 0.124
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.5455 0.7574 0.788 0.028 0.184
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.5061 0.7503 0.784 0.008 0.208
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.2711 0.8591 0.088 0.912 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2590 0.8647 0.924 0.004 0.072
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0237 0.8797 0.996 0.000 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5061 0.7503 0.784 0.008 0.208
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.5061 0.7503 0.784 0.008 0.208
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.7160 0.6584 0.720 0.148 0.132
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0983 0.8806 0.980 0.004 0.016
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0237 0.8791 0.996 0.000 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.2400 0.8452 0.932 0.004 0.064
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.1411 0.8788 0.964 0.000 0.036
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1964 0.8646 0.944 0.000 0.056
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.8791 0.996 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 1 0.8122 0.4208 0.608 0.292 0.100
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.8791 1.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0424 0.8796 0.992 0.000 0.008
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.2796 0.8378 0.908 0.000 0.092
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.8791 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.8791 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.8791 1.000 0.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.3234 0.8529 0.908 0.020 0.072
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0424 0.8789 0.992 0.000 0.008
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.6625 0.6988 0.744 0.080 0.176
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 1 0.8286 0.3720 0.588 0.308 0.104
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4351 0.7959 0.828 0.004 0.168
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.4452 0.7121 0.808 0.000 0.192
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 1 0.8181 0.3743 0.592 0.312 0.096
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.8791 1.000 0.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.1529 0.9373 0.040 0.960 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3129 0.8553 0.904 0.008 0.088
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 1 0.6775 0.6910 0.740 0.096 0.164
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.1529 0.9373 0.040 0.960 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0237 0.8797 0.996 0.000 0.004
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1289 0.8737 0.968 0.000 0.032
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.3532 0.8429 0.884 0.008 0.108
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4452 0.7121 0.808 0.000 0.192
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.8791 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.5346 0.6963 0.808 0.040 0.152
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.4235 0.9061 0.176 0.000 0.824
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.1529 0.9373 0.040 0.960 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.8791 1.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.4654 0.8812 0.208 0.000 0.792
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2537 0.8448 0.920 0.000 0.080
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 3 0.6008 0.6511 0.372 0.000 0.628
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 1 0.6349 0.7345 0.768 0.092 0.140
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.2537 0.8580 0.920 0.000 0.080
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.6157 0.7568 0.780 0.092 0.128
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0424 0.8797 0.992 0.000 0.008
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0892 0.8801 0.980 0.000 0.020
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.1529 0.9373 0.040 0.960 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.8791 1.000 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0237 0.8792 0.996 0.000 0.004
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.5346 0.6963 0.808 0.040 0.152
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.5346 0.6963 0.808 0.040 0.152
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.4779 0.8213 0.840 0.036 0.124
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0237 0.8792 0.996 0.000 0.004
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.1529 0.9373 0.040 0.960 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 3 0.4796 0.8721 0.220 0.000 0.780
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.5455 0.7574 0.788 0.028 0.184
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.6108 0.8252 0.240 0.028 0.732
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 1 0.4994 0.7887 0.816 0.024 0.160
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.8791 1.000 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.8791 1.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.3780 0.8525 0.892 0.044 0.064
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 1 0.6313 0.7337 0.768 0.084 0.148
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.3816 0.8190 0.852 0.000 0.148
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.2400 0.8452 0.932 0.004 0.064
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.1529 0.9373 0.040 0.960 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.3682 0.8385 0.876 0.008 0.116
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.8791 1.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.4452 0.7121 0.808 0.000 0.192
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0237 0.8790 0.996 0.000 0.004
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.8791 1.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4351 0.7959 0.828 0.004 0.168
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.8791 1.000 0.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0747 0.8790 0.984 0.016 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.5061 0.7503 0.784 0.008 0.208
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.2590 0.8647 0.924 0.004 0.072
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.5346 0.6963 0.808 0.040 0.152
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0592 0.8790 0.988 0.000 0.012
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.8791 1.000 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.8791 1.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.8791 1.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0592 0.8771 0.988 0.000 0.012
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.8791 1.000 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.8791 1.000 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.1529 0.9373 0.040 0.960 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.1529 0.9373 0.040 0.960 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.1878 0.9335 0.044 0.952 0.004
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 1 0.6981 0.6819 0.732 0.136 0.132
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.8791 1.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.3695 0.8451 0.880 0.012 0.108
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 3 0.4235 0.9035 0.176 0.000 0.824
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.5036 0.8068 0.832 0.048 0.120
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0592 0.8806 0.988 0.000 0.012
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 1 0.7441 0.6292 0.700 0.164 0.136
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.8791 1.000 0.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.8791 1.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.3349 0.8443 0.888 0.004 0.108
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.1529 0.9373 0.040 0.960 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.4912 0.7686 0.796 0.008 0.196
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.8791 1.000 0.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.1031 0.8800 0.976 0.000 0.024
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.1878 0.9335 0.044 0.952 0.004
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.4209 0.7544 0.128 0.856 0.016
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.2796 0.8515 0.908 0.000 0.092
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0237 0.8799 0.996 0.000 0.004
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.8791 1.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0237 0.8795 0.996 0.000 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0747 0.8810 0.984 0.000 0.016
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.5109 0.6876 0.780 0.008 0.212
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.2625 0.8522 0.916 0.000 0.084
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.8791 1.000 0.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.4324 0.8296 0.860 0.028 0.112
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.8791 1.000 0.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.1878 0.9335 0.044 0.952 0.004
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1529 0.8642 0.960 0.000 0.040
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.8791 1.000 0.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 1 0.7397 0.6333 0.704 0.148 0.148
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.8791 1.000 0.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.1529 0.9373 0.040 0.960 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 1 0.6621 0.7096 0.752 0.100 0.148
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.8791 1.000 0.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.1031 0.8800 0.976 0.000 0.024
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.0000 0.8791 1.000 0.000 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 1 0.3038 0.8272 0.896 0.000 0.104
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.5375 0.7974 0.816 0.056 0.128
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.8791 1.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 1 0.6562 0.7015 0.744 0.072 0.184
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.4351 0.7959 0.828 0.004 0.168
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.0592 0.8805 0.988 0.000 0.012
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 1 0.4799 0.8131 0.836 0.032 0.132
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.1411 0.9291 0.036 0.964 0.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0000 0.8791 1.000 0.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 1 0.3532 0.8444 0.884 0.008 0.108
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0000 0.8791 1.000 0.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 1 0.4277 0.8187 0.852 0.016 0.132
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 1 0.4930 0.8085 0.836 0.044 0.120
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.0000 0.8791 1.000 0.000 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.4351 0.7959 0.828 0.004 0.168
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.0000 0.8791 1.000 0.000 0.000
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#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.1529 0.9373 0.040 0.960 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.8791 1.000 0.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.4602 0.8283 0.852 0.040 0.108
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0747 0.8802 0.984 0.000 0.016
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.8791 1.000 0.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.5346 0.6963 0.808 0.040 0.152
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.5346 0.6963 0.808 0.040 0.152
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.4351 0.8016 0.828 0.004 0.168
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.5331 0.8029 0.824 0.076 0.100
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.5222 0.7096 0.816 0.040 0.144
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 3 0.4504 0.8965 0.196 0.000 0.804
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.8791 1.000 0.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.5346 0.6963 0.808 0.040 0.152
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.6168 0.7503 0.780 0.096 0.124
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0237 0.8793 0.996 0.000 0.004
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.1964 0.8682 0.944 0.000 0.056
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.5346 0.7943 0.808 0.040 0.152
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.3941 0.8909 0.156 0.000 0.844
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 3 0.3879 0.8834 0.152 0.000 0.848
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 3 0.4346 0.9022 0.184 0.000 0.816
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.8791 1.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.8791 1.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.1529 0.9373 0.040 0.960 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0237 0.8799 0.996 0.000 0.004
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.3482 0.8026 0.872 0.000 0.128
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.8791 1.000 0.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 3 0.4555 0.8953 0.200 0.000 0.800
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.8791 1.000 0.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.8791 1.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.5968 0.2900 0.636 0.000 0.364
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.8791 1.000 0.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.4994 0.7887 0.816 0.024 0.160
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.6215 0.1902 0.572 0.000 0.428
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.2050 0.8743 0.952 0.028 0.020
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 1 0.6470 0.7200 0.760 0.092 0.148
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.4452 0.7121 0.808 0.000 0.192
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0237 0.8795 0.996 0.000 0.004
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0592 0.8799 0.988 0.000 0.012
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1753 0.8666 0.952 0.000 0.048
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.3038 0.8478 0.896 0.000 0.104
#> 3F79FC21-B181-42FE-914B-CC298BD72343 1 0.8665 0.2315 0.552 0.324 0.124
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 3 0.3941 0.8909 0.156 0.000 0.844
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 1 0.7337 0.6376 0.708 0.152 0.140
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.3045 0.8631 0.916 0.020 0.064
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.8791 1.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.4178 0.7339 0.828 0.000 0.172
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.3412 0.8049 0.876 0.000 0.124
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4324 0.8282 0.860 0.028 0.112
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.5346 0.6963 0.808 0.040 0.152
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.2400 0.8452 0.932 0.004 0.064
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 1 0.7804 0.5515 0.664 0.216 0.120
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.8791 1.000 0.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 1 0.8325 0.3740 0.588 0.304 0.108
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 3 0.4504 0.8965 0.196 0.000 0.804
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.2448 0.8536 0.924 0.000 0.076
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2625 0.8378 0.916 0.000 0.084
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1163 0.8741 0.972 0.000 0.028
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.1643 0.9345 0.044 0.956 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0237 0.8797 0.996 0.004 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1031 0.8801 0.976 0.000 0.024
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0592 0.8805 0.988 0.000 0.012
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.2066 0.8720 0.940 0.000 0.060
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.3896 0.8308 0.864 0.008 0.128
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.5346 0.6963 0.808 0.040 0.152
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.5346 0.6963 0.808 0.040 0.152
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1163 0.8731 0.972 0.000 0.028
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.8791 1.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.8791 1.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.8791 1.000 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1860 0.8724 0.948 0.000 0.052
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.8791 1.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.3234 0.8591 0.908 0.020 0.072
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 3 0.4062 0.8990 0.164 0.000 0.836
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1031 0.8784 0.976 0.000 0.024
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0237 0.8792 0.996 0.000 0.004
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4452 0.7121 0.808 0.000 0.192
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.8791 1.000 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.3551 0.8017 0.868 0.000 0.132
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 1 0.7817 0.5155 0.648 0.252 0.100
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.8791 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.4351 0.7959 0.828 0.004 0.168
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.3695 0.8451 0.880 0.012 0.108
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.4324 0.8296 0.860 0.028 0.112
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0237 0.8797 0.996 0.000 0.004
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.4293 0.8058 0.832 0.004 0.164
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0892 0.8767 0.980 0.000 0.020
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0237 0.8790 0.996 0.000 0.004
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.6470 0.7200 0.760 0.092 0.148
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 3 0.4235 0.9061 0.176 0.000 0.824
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0237 0.8797 0.996 0.000 0.004
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.3879 0.8834 0.152 0.000 0.848
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.5719 0.7664 0.792 0.052 0.156
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0237 0.8797 0.996 0.000 0.004
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2448 0.8445 0.924 0.000 0.076
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0424 0.8789 0.992 0.000 0.008
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2301 0.8727 0.936 0.004 0.060
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0892 0.8768 0.980 0.000 0.020
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0592 0.8802 0.988 0.000 0.012
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.8791 1.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 3 0.4399 0.9034 0.188 0.000 0.812
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0747 0.8793 0.984 0.000 0.016
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1163 0.8782 0.972 0.000 0.028
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.8791 1.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.4994 0.7887 0.816 0.024 0.160
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.4485 0.8154 0.844 0.020 0.136
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0237 0.8800 0.996 0.000 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.6793 0.6919 0.740 0.100 0.160
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.5346 0.6963 0.808 0.040 0.152
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0892 0.8802 0.980 0.000 0.020
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.3879 0.8834 0.152 0.000 0.848
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.7800 0.5650 0.668 0.204 0.128
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.1989 0.9276 0.048 0.948 0.004
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.8791 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.3213 0.8515 0.900 0.008 0.092
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.2356 0.8658 0.928 0.000 0.072
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2448 0.8519 0.924 0.000 0.076
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.5346 0.6963 0.808 0.040 0.152
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3116 0.8228 0.892 0.000 0.108
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.8791 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.6915 0.6959 0.736 0.140 0.124
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0237 0.8791 0.996 0.000 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.8791 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.3941 0.8908 0.156 0.000 0.844
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2590 0.8647 0.924 0.004 0.072
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0188 0.70886 0.996 0.000 0.004 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3988 0.59079 0.820 0.004 0.156 0.020
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0921 0.70791 0.972 0.000 0.028 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4205 0.62823 0.844 0.032 0.032 0.092
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.5512 -0.63571 0.496 0.000 0.488 0.016
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.70829 1.000 0.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1890 0.69950 0.936 0.000 0.056 0.008
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0469 0.70940 0.988 0.000 0.012 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0592 0.70957 0.984 0.000 0.016 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1724 0.70897 0.948 0.000 0.032 0.020
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.5016 -0.25331 0.600 0.000 0.396 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.5444 0.74490 0.424 0.000 0.560 0.016
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.5668 0.70836 0.444 0.000 0.532 0.024
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6179 0.87562 0.056 0.552 0.392 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3408 0.63329 0.860 0.004 0.120 0.016
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1792 0.69047 0.932 0.000 0.068 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.5668 0.70836 0.444 0.000 0.532 0.024
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.5668 0.70836 0.444 0.000 0.532 0.024
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.6580 0.75728 0.416 0.080 0.504 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.3257 0.60677 0.844 0.000 0.152 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0524 0.70703 0.988 0.008 0.000 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4475 0.46255 0.748 0.240 0.004 0.008
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3324 0.62537 0.852 0.000 0.136 0.012
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2413 0.67046 0.916 0.020 0.000 0.064
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0524 0.70703 0.988 0.008 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.6856 0.66689 0.284 0.140 0.576 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0376 0.70964 0.992 0.000 0.004 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.3356 0.56280 0.824 0.000 0.176 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.4377 0.62670 0.836 0.028 0.044 0.092
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0921 0.70700 0.972 0.000 0.028 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0817 0.70913 0.976 0.000 0.024 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1474 0.69806 0.948 0.000 0.052 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.6033 0.45821 0.712 0.020 0.188 0.080
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1114 0.70550 0.972 0.016 0.004 0.008
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.6175 0.77049 0.400 0.032 0.556 0.012
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 3 0.6913 0.60809 0.256 0.144 0.596 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.5512 -0.63571 0.496 0.000 0.488 0.016
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.4839 0.48651 0.756 0.044 0.000 0.200
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.6971 0.63757 0.276 0.156 0.568 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2216 0.66909 0.908 0.000 0.092 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.5105 0.98209 0.004 0.564 0.432 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3575 0.61878 0.852 0.004 0.124 0.020
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.6257 0.77096 0.412 0.048 0.536 0.004
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#> D7568BF1-3DFC-42C9-B58D-ED321045621E 3 0.6864 0.76022 0.380 0.084 0.528 0.008
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.4456 0.30264 0.716 0.004 0.280 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0817 0.70913 0.976 0.000 0.024 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.4552 0.52174 0.784 0.044 0.000 0.172
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.4437 0.57234 0.816 0.040 0.012 0.132
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4722 0.20765 0.692 0.008 0.300 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.5661 0.19771 0.544 0.436 0.012 0.008
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.4475 0.46255 0.748 0.240 0.004 0.008
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.6963 0.72921 0.340 0.112 0.544 0.004
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.1716 0.69159 0.936 0.000 0.064 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 3 0.6872 0.61240 0.256 0.140 0.600 0.004
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2597 0.80842 0.084 0.008 0.004 0.904
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.3037 0.63950 0.880 0.020 0.000 0.100
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3573 0.62250 0.864 0.028 0.008 0.100
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1584 0.69240 0.952 0.012 0.000 0.036
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.5105 0.97777 0.004 0.564 0.432 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.2345 0.66830 0.900 0.000 0.100 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1732 0.70908 0.948 0.004 0.040 0.008
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.1151 0.71237 0.968 0.000 0.024 0.008
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4456 0.29977 0.716 0.000 0.280 0.004
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.5028 -0.27039 0.596 0.000 0.400 0.004
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.5661 0.19771 0.544 0.436 0.012 0.008
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.5661 0.19771 0.544 0.436 0.012 0.008
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1256 0.69698 0.964 0.008 0.000 0.028
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0707 0.70969 0.980 0.000 0.020 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1792 0.69061 0.932 0.000 0.068 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.70829 1.000 0.000 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2352 0.68704 0.928 0.016 0.012 0.044
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.70829 1.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4560 0.24401 0.700 0.004 0.296 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1209 0.82325 0.032 0.000 0.004 0.964
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1520 0.70995 0.956 0.000 0.024 0.020
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2469 0.65673 0.892 0.000 0.108 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4839 0.48651 0.756 0.044 0.000 0.200
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.1004 0.71155 0.972 0.004 0.024 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4939 0.56758 0.800 0.068 0.020 0.112
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.7019 0.68954 0.344 0.132 0.524 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0336 0.70989 0.992 0.000 0.008 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.5512 -0.63571 0.496 0.000 0.488 0.016
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.5079 0.54565 0.772 0.008 0.156 0.064
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.5415 -0.43970 0.552 0.008 0.436 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.1389 0.70218 0.952 0.000 0.048 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.5273 -0.49537 0.536 0.000 0.456 0.008
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1762 0.70669 0.952 0.012 0.016 0.020
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0712 0.70795 0.984 0.008 0.004 0.004
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.6134 0.74682 0.444 0.048 0.508 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1229 0.81704 0.020 0.008 0.004 0.968
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2401 0.67198 0.904 0.000 0.092 0.004
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.0524 0.80092 0.004 0.000 0.008 0.988
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.5508 0.68201 0.476 0.016 0.508 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2149 0.67580 0.912 0.000 0.088 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3051 0.63735 0.884 0.028 0.000 0.088
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1114 0.70472 0.972 0.016 0.004 0.008
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.3335 0.63923 0.860 0.000 0.120 0.020
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1510 0.69430 0.956 0.016 0.000 0.028
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1576 0.70735 0.948 0.004 0.048 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.2149 0.67389 0.912 0.000 0.088 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.1635 0.82159 0.044 0.008 0.000 0.948
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2704 0.64016 0.876 0.000 0.124 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3444 0.55168 0.816 0.000 0.184 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.70829 1.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.5575 0.66958 0.480 0.004 0.504 0.012
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.5000 0.63155 0.496 0.000 0.504 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0469 0.71146 0.988 0.000 0.012 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.6462 0.76891 0.416 0.052 0.524 0.008
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.5760 0.19915 0.544 0.432 0.016 0.008
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3052 0.62850 0.860 0.000 0.136 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0469 0.79492 0.000 0.000 0.012 0.988
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.7232 0.70655 0.384 0.104 0.500 0.012
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.5345 0.96587 0.012 0.560 0.428 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0469 0.70940 0.988 0.000 0.012 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.4761 -0.10960 0.628 0.000 0.372 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3554 0.60548 0.844 0.000 0.020 0.136
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4024 0.65592 0.856 0.024 0.048 0.072
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.5661 0.19771 0.544 0.436 0.012 0.008
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.4447 0.60533 0.828 0.036 0.028 0.108
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0921 0.70728 0.972 0.000 0.028 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.6275 -0.61855 0.484 0.056 0.460 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0672 0.70627 0.984 0.008 0.000 0.008
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1792 0.69061 0.932 0.000 0.068 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0779 0.81608 0.016 0.000 0.004 0.980
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3408 0.63329 0.860 0.004 0.120 0.016
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0290 0.8063 0.992 0.000 0.000 0.000 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3525 0.6772 0.800 0.000 0.008 0.008 0.184
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0794 0.8072 0.972 0.000 0.000 0.000 0.028
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3679 0.7182 0.836 0.000 0.020 0.040 0.104
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 5 0.4990 0.7074 0.360 0.000 0.040 0.000 0.600
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0162 0.8049 0.996 0.000 0.000 0.000 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1894 0.8005 0.920 0.000 0.000 0.008 0.072
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0510 0.8071 0.984 0.000 0.000 0.000 0.016
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0609 0.8074 0.980 0.000 0.000 0.000 0.020
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1484 0.8084 0.944 0.000 0.000 0.008 0.048
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4659 0.4507 0.492 0.000 0.012 0.000 0.496
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.3612 0.7578 0.228 0.000 0.008 0.000 0.764
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 5 0.4816 0.6635 0.236 0.004 0.048 0.004 0.708
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1648 0.8663 0.040 0.940 0.000 0.000 0.020
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3939 0.5943 0.764 0.004 0.012 0.004 0.216
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1851 0.7848 0.912 0.000 0.000 0.000 0.088
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 5 0.4816 0.6635 0.236 0.004 0.048 0.004 0.708
#> BD213FB6-2DB9-4955-B061-4CD47604176B 5 0.4816 0.6635 0.236 0.004 0.048 0.004 0.708
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.5885 0.7600 0.272 0.116 0.008 0.000 0.604
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.2891 0.6975 0.824 0.000 0.000 0.000 0.176
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0833 0.8034 0.976 0.000 0.004 0.004 0.016
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4517 0.1100 0.556 0.000 0.436 0.000 0.008
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3211 0.7101 0.824 0.000 0.004 0.008 0.164
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2437 0.7559 0.904 0.000 0.004 0.032 0.060
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0833 0.8034 0.976 0.000 0.004 0.004 0.016
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.6268 0.5546 0.152 0.284 0.008 0.000 0.556
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0404 0.8071 0.988 0.000 0.000 0.000 0.012
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.3074 0.6556 0.804 0.000 0.000 0.000 0.196
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.3844 0.7253 0.828 0.000 0.024 0.044 0.104
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0880 0.8053 0.968 0.000 0.000 0.000 0.032
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0963 0.8071 0.964 0.000 0.000 0.000 0.036
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1478 0.7967 0.936 0.000 0.000 0.000 0.064
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.5235 0.4112 0.640 0.000 0.016 0.040 0.304
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1116 0.8020 0.964 0.000 0.004 0.004 0.028
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.4557 0.7438 0.204 0.056 0.004 0.000 0.736
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.6027 0.4688 0.116 0.304 0.008 0.000 0.572
#> 08E3097B-3A58-4129-9305-1A0F7452C063 5 0.4990 0.7074 0.360 0.000 0.040 0.000 0.600
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.5178 0.5614 0.736 0.000 0.032 0.132 0.100
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.6213 0.5028 0.136 0.304 0.008 0.000 0.552
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2074 0.7671 0.896 0.000 0.000 0.000 0.104
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0290 0.9508 0.000 0.992 0.000 0.000 0.008
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4145 0.5275 0.736 0.004 0.012 0.004 0.244
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.4919 0.7543 0.220 0.072 0.004 0.000 0.704
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0290 0.9508 0.000 0.992 0.000 0.000 0.008
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0794 0.8101 0.972 0.000 0.000 0.000 0.028
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1892 0.8043 0.916 0.000 0.000 0.004 0.080
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.4637 -0.2983 0.536 0.000 0.012 0.000 0.452
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5178 0.5614 0.736 0.000 0.032 0.132 0.100
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0794 0.8063 0.972 0.000 0.000 0.000 0.028
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.2136 0.8973 0.088 0.000 0.904 0.000 0.008
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1560 0.8015 0.020 0.000 0.004 0.948 0.028
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0290 0.9508 0.000 0.992 0.000 0.000 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0162 0.8054 0.996 0.000 0.000 0.000 0.004
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.2502 0.7912 0.060 0.000 0.012 0.904 0.024
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.3385 0.7156 0.856 0.000 0.016 0.044 0.084
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.6485 0.3895 0.284 0.000 0.036 0.568 0.112
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.5171 0.7716 0.268 0.060 0.008 0.000 0.664
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.3009 0.7455 0.876 0.000 0.008 0.052 0.064
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.6393 0.6400 0.388 0.072 0.008 0.024 0.508
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.2773 0.7081 0.836 0.000 0.000 0.000 0.164
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1430 0.8079 0.944 0.000 0.000 0.004 0.052
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0290 0.9508 0.000 0.992 0.000 0.000 0.008
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0162 0.8055 0.996 0.000 0.000 0.000 0.004
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2813 0.6982 0.832 0.000 0.000 0.000 0.168
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.1908 0.9027 0.092 0.000 0.908 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.2136 0.8973 0.088 0.000 0.904 0.000 0.008
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5575 -0.0393 0.592 0.028 0.012 0.016 0.352
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.2813 0.6982 0.832 0.000 0.000 0.000 0.168
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0290 0.9508 0.000 0.992 0.000 0.000 0.008
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.3070 0.7385 0.112 0.000 0.012 0.860 0.016
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.3612 0.7578 0.228 0.000 0.008 0.000 0.764
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.5919 0.5915 0.164 0.012 0.040 0.692 0.092
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#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.6011 0.4747 0.116 0.300 0.008 0.000 0.576
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2913 0.7794 0.080 0.000 0.004 0.876 0.040
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.3148 0.7244 0.864 0.000 0.004 0.072 0.060
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3495 0.7104 0.852 0.000 0.020 0.048 0.080
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1710 0.7803 0.940 0.000 0.004 0.016 0.040
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0290 0.9461 0.000 0.992 0.000 0.000 0.008
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.2280 0.7615 0.880 0.000 0.000 0.000 0.120
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1571 0.8069 0.936 0.000 0.000 0.004 0.060
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.1082 0.8105 0.964 0.000 0.000 0.008 0.028
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4422 0.3230 0.664 0.000 0.012 0.004 0.320
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.4659 0.4629 0.488 0.000 0.012 0.000 0.500
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.1908 0.9027 0.092 0.000 0.908 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.1908 0.9027 0.092 0.000 0.908 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1124 0.7944 0.960 0.000 0.000 0.004 0.036
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0880 0.8076 0.968 0.000 0.000 0.000 0.032
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1792 0.7859 0.916 0.000 0.000 0.000 0.084
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0162 0.8049 0.996 0.000 0.000 0.000 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2141 0.7754 0.916 0.000 0.004 0.016 0.064
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0162 0.8055 0.996 0.000 0.000 0.000 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4341 0.1626 0.628 0.000 0.008 0.000 0.364
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1596 0.8033 0.028 0.000 0.012 0.948 0.012
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1251 0.8087 0.956 0.000 0.000 0.008 0.036
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2329 0.7538 0.876 0.000 0.000 0.000 0.124
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.5178 0.5614 0.736 0.000 0.032 0.132 0.100
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0794 0.8104 0.972 0.000 0.000 0.000 0.028
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4647 0.6508 0.784 0.000 0.064 0.048 0.104
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.6495 0.6474 0.208 0.248 0.008 0.000 0.536
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0510 0.8082 0.984 0.000 0.000 0.000 0.016
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 5 0.4990 0.7074 0.360 0.000 0.040 0.000 0.600
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.4561 0.6169 0.744 0.008 0.008 0.032 0.208
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.4792 0.6103 0.424 0.004 0.008 0.004 0.560
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.1341 0.8003 0.944 0.000 0.000 0.000 0.056
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 5 0.5014 0.5697 0.432 0.000 0.024 0.004 0.540
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1569 0.8047 0.944 0.000 0.008 0.004 0.044
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0865 0.8043 0.972 0.000 0.004 0.000 0.024
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.5098 0.7682 0.276 0.060 0.004 0.000 0.660
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1461 0.7995 0.016 0.000 0.004 0.952 0.028
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2338 0.7645 0.884 0.000 0.000 0.004 0.112
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.0451 0.7839 0.000 0.000 0.004 0.988 0.008
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.4828 0.7485 0.320 0.020 0.012 0.000 0.648
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2179 0.7655 0.888 0.000 0.000 0.000 0.112
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3052 0.7296 0.876 0.000 0.016 0.036 0.072
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1116 0.8011 0.964 0.000 0.004 0.004 0.028
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.3022 0.7373 0.848 0.000 0.004 0.012 0.136
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1525 0.7851 0.948 0.000 0.004 0.012 0.036
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1484 0.8071 0.944 0.000 0.008 0.000 0.048
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.2020 0.7711 0.900 0.000 0.000 0.000 0.100
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.2157 0.8036 0.040 0.000 0.004 0.920 0.036
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2674 0.7322 0.856 0.000 0.004 0.000 0.140
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3480 0.5672 0.752 0.000 0.000 0.000 0.248
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0290 0.8062 0.992 0.000 0.000 0.000 0.008
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 5 0.5368 0.7192 0.336 0.016 0.040 0.000 0.608
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.4283 0.7323 0.348 0.000 0.008 0.000 0.644
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0510 0.8100 0.984 0.000 0.000 0.000 0.016
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.4973 0.7652 0.236 0.068 0.004 0.000 0.692
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.2136 0.8973 0.088 0.000 0.904 0.000 0.008
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.2970 0.7093 0.828 0.000 0.004 0.000 0.168
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0566 0.7843 0.000 0.000 0.004 0.984 0.012
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.6908 0.7095 0.272 0.200 0.008 0.012 0.508
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0609 0.9389 0.000 0.980 0.000 0.000 0.020
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0510 0.8071 0.984 0.000 0.000 0.000 0.016
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.4610 -0.2208 0.556 0.000 0.012 0.000 0.432
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3152 0.7073 0.840 0.000 0.000 0.136 0.024
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.3456 0.7474 0.844 0.000 0.012 0.036 0.108
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.1908 0.9027 0.092 0.000 0.908 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3985 0.6988 0.820 0.000 0.024 0.052 0.104
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0794 0.8063 0.972 0.000 0.000 0.000 0.028
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.6271 0.7014 0.360 0.124 0.008 0.000 0.508
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1026 0.8013 0.968 0.000 0.004 0.004 0.024
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1792 0.7859 0.916 0.000 0.000 0.000 0.084
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1209 0.7992 0.012 0.000 0.012 0.964 0.012
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3939 0.5943 0.764 0.004 0.012 0.004 0.216
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0260 0.8095 0.992 0.000 0.000 0.000 0.008 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3555 0.6870 0.780 0.000 0.000 0.000 0.176 0.044
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0935 0.8120 0.964 0.000 0.000 0.000 0.032 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3279 0.7310 0.816 0.000 0.008 0.000 0.028 0.148
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 5 0.5496 0.5613 0.296 0.000 0.000 0.000 0.544 0.160
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0146 0.8085 0.996 0.000 0.000 0.000 0.000 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.2009 0.8073 0.908 0.000 0.000 0.000 0.068 0.024
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0458 0.8105 0.984 0.000 0.000 0.000 0.016 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0547 0.8110 0.980 0.000 0.000 0.000 0.020 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1605 0.8114 0.936 0.000 0.000 0.004 0.044 0.016
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4465 0.3619 0.460 0.000 0.000 0.000 0.512 0.028
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.2706 0.6211 0.124 0.000 0.000 0.000 0.852 0.024
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 5 0.5333 0.3980 0.180 0.004 0.000 0.000 0.612 0.204
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1421 0.8709 0.028 0.944 0.000 0.000 0.028 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4080 0.6108 0.740 0.004 0.004 0.000 0.208 0.044
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1918 0.7942 0.904 0.000 0.000 0.000 0.088 0.008
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 5 0.5333 0.3980 0.180 0.004 0.000 0.000 0.612 0.204
#> BD213FB6-2DB9-4955-B061-4CD47604176B 5 0.5333 0.3980 0.180 0.004 0.000 0.000 0.612 0.204
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.4744 0.6244 0.168 0.112 0.004 0.000 0.708 0.008
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.3003 0.7190 0.812 0.000 0.000 0.000 0.172 0.016
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0748 0.8096 0.976 0.000 0.004 0.000 0.004 0.016
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4413 0.0694 0.496 0.000 0.484 0.000 0.008 0.012
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3387 0.7189 0.796 0.000 0.000 0.000 0.164 0.040
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2695 0.7393 0.844 0.000 0.004 0.008 0.000 0.144
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0748 0.8096 0.976 0.000 0.004 0.000 0.004 0.016
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.4804 0.4337 0.056 0.284 0.004 0.000 0.648 0.008
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0363 0.8106 0.988 0.000 0.000 0.000 0.012 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.3315 0.6720 0.780 0.000 0.000 0.000 0.200 0.020
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.3834 0.7236 0.800 0.000 0.016 0.004 0.056 0.124
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0935 0.8111 0.964 0.000 0.000 0.000 0.032 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0935 0.8123 0.964 0.000 0.000 0.000 0.032 0.004
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1524 0.8032 0.932 0.000 0.000 0.000 0.060 0.008
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.6023 0.2023 0.528 0.000 0.012 0.008 0.296 0.156
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1194 0.8085 0.956 0.000 0.004 0.000 0.008 0.032
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.3268 0.6006 0.100 0.056 0.004 0.000 0.836 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.4465 0.3554 0.024 0.300 0.004 0.000 0.660 0.012
#> 08E3097B-3A58-4129-9305-1A0F7452C063 5 0.5496 0.5613 0.296 0.000 0.000 0.000 0.544 0.160
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.4873 0.4468 0.628 0.000 0.020 0.028 0.008 0.316
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.4659 0.3767 0.040 0.304 0.004 0.000 0.644 0.008
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2311 0.7778 0.880 0.000 0.000 0.000 0.104 0.016
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0146 0.9476 0.000 0.996 0.000 0.000 0.004 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4240 0.5547 0.716 0.004 0.004 0.000 0.232 0.044
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.3720 0.6162 0.120 0.072 0.004 0.000 0.800 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0146 0.9476 0.000 0.996 0.000 0.000 0.004 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0790 0.8145 0.968 0.000 0.000 0.000 0.032 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.2263 0.8063 0.896 0.000 0.000 0.000 0.056 0.048
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.4529 -0.2018 0.508 0.000 0.000 0.000 0.460 0.032
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4873 0.4468 0.628 0.000 0.020 0.028 0.008 0.316
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0935 0.8114 0.964 0.000 0.000 0.000 0.032 0.004
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.0405 0.8699 0.004 0.000 0.988 0.000 0.008 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.2191 0.7140 0.000 0.000 0.004 0.876 0.000 0.120
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0146 0.9476 0.000 0.996 0.000 0.000 0.004 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0146 0.8088 0.996 0.000 0.000 0.000 0.004 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.3077 0.6523 0.052 0.000 0.000 0.852 0.012 0.084
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.3306 0.6954 0.796 0.000 0.008 0.004 0.008 0.184
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 6 0.5757 0.5323 0.152 0.004 0.004 0.204 0.020 0.616
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.3940 0.6452 0.160 0.060 0.004 0.000 0.772 0.004
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.3491 0.7219 0.812 0.000 0.008 0.028 0.008 0.144
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.6367 0.5676 0.248 0.068 0.004 0.016 0.580 0.084
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.2932 0.7216 0.820 0.000 0.000 0.000 0.164 0.016
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1616 0.8126 0.932 0.000 0.000 0.000 0.048 0.020
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0146 0.9476 0.000 0.996 0.000 0.000 0.004 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0146 0.8090 0.996 0.000 0.000 0.000 0.004 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2968 0.7129 0.816 0.000 0.000 0.000 0.168 0.016
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0260 0.8765 0.008 0.000 0.992 0.000 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.0405 0.8699 0.004 0.000 0.988 0.000 0.008 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5289 -0.0156 0.552 0.032 0.000 0.004 0.376 0.036
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.2968 0.7129 0.816 0.000 0.000 0.000 0.168 0.016
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0146 0.9476 0.000 0.996 0.000 0.000 0.004 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.3627 0.5138 0.080 0.000 0.000 0.792 0.000 0.128
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.2706 0.6211 0.124 0.000 0.000 0.000 0.852 0.024
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 6 0.6446 0.5087 0.080 0.012 0.008 0.356 0.048 0.496
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 5 0.5731 0.5416 0.272 0.012 0.000 0.000 0.556 0.160
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0291 0.8107 0.992 0.000 0.000 0.000 0.004 0.004
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#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.1313 0.8101 0.952 0.000 0.004 0.000 0.016 0.028
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.2696 0.7867 0.872 0.000 0.004 0.000 0.048 0.076
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.4294 -0.0593 0.552 0.000 0.000 0.000 0.428 0.020
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.5497 0.4520 0.112 0.300 0.004 0.000 0.576 0.008
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.1141 0.7375 0.000 0.000 0.000 0.948 0.000 0.052
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.4335 0.5760 0.100 0.136 0.004 0.000 0.752 0.008
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.4079 0.2519 0.608 0.000 0.004 0.000 0.380 0.008
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0935 0.8123 0.964 0.000 0.000 0.000 0.032 0.004
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.4394 0.5466 0.688 0.000 0.020 0.028 0.000 0.264
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.4466 0.5887 0.708 0.000 0.032 0.008 0.016 0.236
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4629 0.1134 0.576 0.016 0.000 0.000 0.388 0.020
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0260 0.8765 0.008 0.000 0.992 0.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.4413 0.0694 0.496 0.000 0.484 0.000 0.008 0.012
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.4578 0.5189 0.076 0.200 0.004 0.000 0.712 0.008
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.1950 0.8026 0.912 0.000 0.000 0.000 0.064 0.024
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.4448 0.3621 0.024 0.296 0.004 0.000 0.664 0.012
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.4013 0.5612 0.040 0.000 0.004 0.728 0.000 0.228
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.3473 0.7036 0.804 0.000 0.004 0.048 0.000 0.144
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3089 0.6977 0.800 0.000 0.008 0.000 0.004 0.188
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1958 0.7729 0.896 0.000 0.004 0.000 0.000 0.100
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0622 0.9396 0.000 0.980 0.000 0.000 0.008 0.012
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.2302 0.7719 0.872 0.000 0.000 0.000 0.120 0.008
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1700 0.8116 0.928 0.000 0.000 0.000 0.048 0.024
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.1003 0.8154 0.964 0.000 0.000 0.004 0.028 0.004
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4683 0.3320 0.616 0.000 0.000 0.000 0.320 0.064
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.4460 0.3851 0.452 0.000 0.000 0.000 0.520 0.028
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.0260 0.8765 0.008 0.000 0.992 0.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.0260 0.8765 0.008 0.000 0.992 0.000 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1411 0.7991 0.936 0.000 0.000 0.000 0.004 0.060
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0935 0.8121 0.964 0.000 0.000 0.000 0.032 0.004
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1913 0.7942 0.908 0.000 0.000 0.000 0.080 0.012
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0146 0.8085 0.996 0.000 0.000 0.000 0.000 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2854 0.7597 0.860 0.000 0.004 0.012 0.016 0.108
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0146 0.8090 0.996 0.000 0.000 0.000 0.004 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4226 0.1504 0.580 0.000 0.004 0.000 0.404 0.012
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.2301 0.7062 0.020 0.000 0.000 0.884 0.000 0.096
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1401 0.8122 0.948 0.000 0.000 0.004 0.028 0.020
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2446 0.7653 0.864 0.000 0.000 0.000 0.124 0.012
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4873 0.4468 0.628 0.000 0.020 0.028 0.008 0.316
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0777 0.8144 0.972 0.000 0.000 0.000 0.024 0.004
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4358 0.6617 0.760 0.000 0.052 0.004 0.032 0.152
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.5105 0.5028 0.104 0.252 0.004 0.000 0.636 0.004
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0458 0.8118 0.984 0.000 0.000 0.000 0.016 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 5 0.5496 0.5613 0.296 0.000 0.000 0.000 0.544 0.160
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.4906 0.5710 0.692 0.008 0.004 0.004 0.200 0.092
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.4045 0.6112 0.336 0.000 0.008 0.000 0.648 0.008
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.1398 0.8085 0.940 0.000 0.000 0.000 0.052 0.008
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 5 0.5300 0.4884 0.376 0.000 0.000 0.000 0.516 0.108
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1636 0.8107 0.936 0.000 0.004 0.000 0.024 0.036
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0862 0.8112 0.972 0.000 0.004 0.000 0.008 0.016
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4139 0.6476 0.184 0.060 0.004 0.000 0.748 0.004
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.2146 0.7161 0.000 0.000 0.004 0.880 0.000 0.116
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2400 0.7748 0.872 0.000 0.000 0.004 0.116 0.008
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.0790 0.7254 0.000 0.000 0.000 0.968 0.000 0.032
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.3925 0.6561 0.228 0.016 0.008 0.000 0.740 0.008
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2404 0.7729 0.872 0.000 0.000 0.000 0.112 0.016
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2778 0.7201 0.824 0.000 0.008 0.000 0.000 0.168
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1116 0.8082 0.960 0.000 0.004 0.000 0.008 0.028
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2932 0.7515 0.840 0.000 0.000 0.004 0.132 0.024
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1908 0.7763 0.900 0.000 0.004 0.000 0.000 0.096
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1364 0.8126 0.944 0.000 0.004 0.000 0.048 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.2118 0.7795 0.888 0.000 0.000 0.000 0.104 0.008
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.2737 0.6912 0.004 0.000 0.004 0.832 0.000 0.160
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2790 0.7427 0.840 0.000 0.000 0.000 0.140 0.020
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3445 0.5951 0.732 0.000 0.000 0.000 0.260 0.008
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0260 0.8097 0.992 0.000 0.000 0.000 0.008 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 5 0.5731 0.5416 0.272 0.012 0.000 0.000 0.556 0.160
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3855 0.6600 0.272 0.000 0.000 0.000 0.704 0.024
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0458 0.8138 0.984 0.000 0.000 0.000 0.016 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.3743 0.6310 0.136 0.064 0.000 0.000 0.792 0.008
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0405 0.8699 0.004 0.000 0.988 0.000 0.008 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3053 0.7245 0.812 0.000 0.000 0.000 0.168 0.020
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.1007 0.7234 0.000 0.000 0.000 0.956 0.000 0.044
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.5874 0.5589 0.180 0.200 0.004 0.000 0.592 0.024
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0909 0.9307 0.000 0.968 0.000 0.000 0.020 0.012
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0458 0.8105 0.984 0.000 0.000 0.000 0.016 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.4523 -0.1724 0.516 0.000 0.000 0.000 0.452 0.032
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3467 0.7128 0.820 0.000 0.000 0.124 0.024 0.032
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.3943 0.7307 0.800 0.000 0.008 0.016 0.068 0.108
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0260 0.8765 0.008 0.000 0.992 0.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.4055 0.6921 0.784 0.000 0.016 0.012 0.044 0.144
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0935 0.8114 0.964 0.000 0.000 0.000 0.032 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.5702 0.6190 0.308 0.128 0.000 0.000 0.548 0.016
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1036 0.8080 0.964 0.000 0.004 0.000 0.008 0.024
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1913 0.7942 0.908 0.000 0.000 0.000 0.080 0.012
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2006 0.7105 0.004 0.000 0.000 0.892 0.000 0.104
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4080 0.6108 0.740 0.004 0.004 0.000 0.208 0.044
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.487 0.902 0.919 0.317 0.686 0.686
#> 3 3 0.478 0.786 0.882 0.646 0.773 0.673
#> 4 4 0.530 0.652 0.818 0.230 0.806 0.615
#> 5 5 0.536 0.631 0.799 0.104 0.917 0.768
#> 6 6 0.551 0.503 0.683 0.070 0.881 0.638
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.935 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.935 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.935 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4022 0.900 0.920 0.080
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.935 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5519 0.868 0.872 0.128
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.5629 0.865 0.868 0.132
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.935 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.935 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.935 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.935 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.6801 0.726 0.820 0.180
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0938 0.932 0.988 0.012
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6623 0.957 0.172 0.828
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0672 0.933 0.992 0.008
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.935 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0938 0.932 0.988 0.012
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0938 0.932 0.988 0.012
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.8499 0.860 0.276 0.724
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.935 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.935 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.1633 0.927 0.976 0.024
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#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1414 0.929 0.980 0.020
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.935 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.5294 0.874 0.880 0.120
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.5408 0.871 0.876 0.124
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4022 0.900 0.920 0.080
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.6623 0.957 0.172 0.828
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.935 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.935 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.935 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.7056 0.705 0.808 0.192
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.935 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.5629 0.865 0.868 0.132
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.935 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.935 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.9866 0.555 0.432 0.568
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.5629 0.865 0.868 0.132
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.935 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.2423 0.828 0.040 0.960
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.9866 0.555 0.432 0.568
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.935 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.5629 0.865 0.868 0.132
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.5629 0.865 0.868 0.132
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.935 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.5629 0.865 0.868 0.132
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.935 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.935 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.5629 0.865 0.868 0.132
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.935 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.935 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.935 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.6623 0.957 0.172 0.828
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.935 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.935 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.7376 0.929 0.208 0.792
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.6623 0.828 0.828 0.172
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.935 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.2778 0.830 0.048 0.952
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.6623 0.957 0.172 0.828
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.6623 0.957 0.172 0.828
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.935 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.935 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.5629 0.865 0.868 0.132
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.5629 0.865 0.868 0.132
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.4022 0.899 0.920 0.080
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.5178 0.877 0.884 0.116
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.935 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.6623 0.957 0.172 0.828
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0376 0.934 0.996 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.935 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.5629 0.865 0.868 0.132
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.935 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0237 0.88620 0.996 0.000 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3752 0.81584 0.856 0.000 0.144
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.88607 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.6111 0.12861 0.604 0.000 0.396
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.1289 0.87715 0.968 0.000 0.032
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1163 0.87321 0.972 0.000 0.028
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6180 0.25640 0.584 0.000 0.416
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0237 0.88620 0.996 0.000 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0237 0.88620 0.996 0.000 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0237 0.88620 0.996 0.000 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3686 0.82050 0.860 0.000 0.140
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.6500 0.71756 0.760 0.100 0.140
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.2959 0.84445 0.900 0.000 0.100
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1163 0.88797 0.028 0.972 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1031 0.87778 0.976 0.000 0.024
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.88607 1.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.2356 0.85212 0.928 0.000 0.072
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.2356 0.85212 0.928 0.000 0.072
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.7344 0.65088 0.204 0.696 0.100
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.3686 0.81775 0.860 0.000 0.140
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0237 0.88620 0.996 0.000 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0237 0.88620 0.996 0.000 0.004
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4178 0.79414 0.828 0.000 0.172
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 3 0.4605 0.83938 0.204 0.000 0.796
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.88620 0.996 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.1163 0.88797 0.028 0.972 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0747 0.88312 0.984 0.000 0.016
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1411 0.87683 0.964 0.000 0.036
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.1860 0.86607 0.948 0.000 0.052
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.88607 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.88607 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.88607 1.000 0.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.3918 0.82867 0.120 0.012 0.868
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0237 0.88620 0.996 0.000 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4249 0.84213 0.028 0.864 0.108
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.1399 0.88768 0.028 0.968 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.1643 0.87225 0.956 0.000 0.044
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 3 0.4555 0.84157 0.200 0.000 0.800
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.1585 0.88715 0.028 0.964 0.008
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2066 0.86845 0.940 0.000 0.060
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.1163 0.88797 0.028 0.972 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1289 0.87744 0.968 0.000 0.032
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.7368 0.65558 0.200 0.696 0.104
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.1163 0.88797 0.028 0.972 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.88607 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.6280 -0.14391 0.540 0.000 0.460
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1860 0.86980 0.948 0.000 0.052
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 3 0.4555 0.84157 0.200 0.000 0.800
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.88607 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.7278 0.09232 0.456 0.028 0.516
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.3482 0.84525 0.128 0.000 0.872
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.1163 0.88797 0.028 0.972 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0237 0.88620 0.996 0.000 0.004
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.2959 0.82193 0.100 0.000 0.900
#> 4336561F-B08B-401A-A016-28DD31DA97DA 3 0.4504 0.84323 0.196 0.000 0.804
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 3 0.5621 0.73471 0.308 0.000 0.692
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.3310 0.86318 0.028 0.908 0.064
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.4605 0.83938 0.204 0.000 0.796
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.7497 0.41051 0.072 0.276 0.652
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.3038 0.83757 0.896 0.000 0.104
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1643 0.86882 0.956 0.000 0.044
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.1163 0.88797 0.028 0.972 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0237 0.88620 0.996 0.000 0.004
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2796 0.84635 0.908 0.000 0.092
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.7240 0.03275 0.540 0.028 0.432
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.7203 0.09885 0.556 0.028 0.416
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5519 0.78539 0.812 0.068 0.120
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.2959 0.84064 0.900 0.000 0.100
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.1163 0.88797 0.028 0.972 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 3 0.4605 0.83938 0.204 0.000 0.796
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.7542 0.66123 0.192 0.688 0.120
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.5502 0.46782 0.008 0.248 0.744
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1163 0.88797 0.028 0.972 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0237 0.88620 0.996 0.000 0.004
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.88607 1.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.4164 0.81055 0.848 0.008 0.144
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.7412 0.66422 0.192 0.696 0.112
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.4605 0.77300 0.796 0.000 0.204
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5053 0.73345 0.812 0.024 0.164
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.1163 0.88797 0.028 0.972 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.4062 0.80843 0.836 0.000 0.164
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.88607 1.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 3 0.5810 0.73447 0.336 0.000 0.664
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0237 0.88620 0.996 0.000 0.004
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0237 0.88620 0.996 0.000 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.1163 0.87652 0.972 0.000 0.028
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0237 0.88620 0.996 0.000 0.004
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.2959 0.83968 0.900 0.000 0.100
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.2356 0.85212 0.928 0.000 0.072
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.1163 0.87652 0.972 0.000 0.028
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.7129 0.16348 0.580 0.028 0.392
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.3192 0.80974 0.888 0.000 0.112
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0237 0.88620 0.996 0.000 0.004
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0237 0.88620 0.996 0.000 0.004
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.88607 1.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.88607 1.000 0.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0237 0.88620 0.996 0.000 0.004
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0424 0.88480 0.992 0.000 0.008
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.1163 0.88797 0.028 0.972 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.1163 0.88797 0.028 0.972 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.1163 0.88797 0.028 0.972 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.6039 0.77792 0.104 0.788 0.108
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0237 0.88620 0.996 0.000 0.004
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.6260 0.13536 0.552 0.000 0.448
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 3 0.3879 0.85122 0.152 0.000 0.848
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.3845 0.82414 0.872 0.012 0.116
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4931 0.71362 0.768 0.000 0.232
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.4015 0.84596 0.028 0.876 0.096
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0237 0.88620 0.996 0.000 0.004
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0237 0.88620 0.996 0.000 0.004
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.2165 0.86473 0.936 0.000 0.064
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.1163 0.88797 0.028 0.972 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.4974 0.72558 0.764 0.000 0.236
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0237 0.88620 0.996 0.000 0.004
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.88607 1.000 0.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.1163 0.88797 0.028 0.972 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.1163 0.88797 0.028 0.972 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 3 0.3816 0.85113 0.148 0.000 0.852
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.3340 0.82973 0.880 0.000 0.120
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0237 0.88620 0.996 0.000 0.004
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0237 0.88620 0.996 0.000 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0892 0.88069 0.980 0.000 0.020
#> 998A0059-F532-4044-9C25-6D175854F963 3 0.3192 0.83560 0.112 0.000 0.888
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#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.0237 0.88620 0.996 0.000 0.004
#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.6192 0.02697 0.580 0.000 0.420
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.7495 0.66542 0.188 0.692 0.120
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.3918 0.82225 0.868 0.012 0.120
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 3 0.4605 0.83938 0.204 0.000 0.796
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 3 0.3539 0.81951 0.100 0.012 0.888
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0237 0.88620 0.996 0.000 0.004
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 3 0.3499 0.74895 0.072 0.028 0.900
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 3 0.3412 0.84323 0.124 0.000 0.876
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.0592 0.88353 0.988 0.000 0.012
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.0237 0.88620 0.996 0.000 0.004
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.3686 0.81775 0.860 0.000 0.140
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 2 0.4519 0.83731 0.032 0.852 0.116
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 1 0.2448 0.85187 0.924 0.000 0.076
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.1163 0.87821 0.972 0.000 0.028
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.4931 0.83377 0.232 0.000 0.768
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.4261 0.81084 0.848 0.012 0.140
#> E0053297-AB5D-4580-9328-7C3743E9CB14 1 0.7966 0.53437 0.652 0.220 0.128
#> 64DE217D-A810-481E-A654-7D1B36D2858E 1 0.3619 0.82330 0.864 0.000 0.136
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.3267 0.83133 0.884 0.000 0.116
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.4469 0.83764 0.028 0.852 0.120
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.1163 0.88797 0.028 0.972 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.1163 0.88797 0.028 0.972 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.1585 0.88715 0.028 0.964 0.008
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.1399 0.88768 0.028 0.968 0.004
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.7592 0.62241 0.208 0.680 0.112
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.88607 1.000 0.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 3 0.3412 0.84323 0.124 0.000 0.876
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.6325 0.72129 0.772 0.112 0.116
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0237 0.88620 0.996 0.000 0.004
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.88607 1.000 0.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.1163 0.88797 0.028 0.972 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0237 0.88620 0.996 0.000 0.004
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.3192 0.81523 0.888 0.000 0.112
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.4399 0.76026 0.812 0.000 0.188
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0237 0.88620 0.996 0.000 0.004
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.7256 0.01426 0.532 0.028 0.440
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.7129 0.16348 0.580 0.028 0.392
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.6307 0.07623 0.512 0.000 0.488
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.1964 0.86664 0.944 0.000 0.056
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.2187 0.85846 0.948 0.028 0.024
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 3 0.3349 0.83267 0.108 0.004 0.888
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0237 0.88620 0.996 0.000 0.004
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.7232 0.07694 0.544 0.028 0.428
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.5428 0.77727 0.816 0.064 0.120
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0237 0.88620 0.996 0.000 0.004
#> 06559D18-E45E-4697-BCDB-C781BCF71327 3 0.3412 0.83843 0.124 0.000 0.876
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.4475 0.80435 0.840 0.016 0.144
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.2625 0.81189 0.084 0.000 0.916
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 3 0.3983 0.77687 0.068 0.048 0.884
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 3 0.3192 0.83560 0.112 0.000 0.888
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0237 0.88620 0.996 0.000 0.004
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0237 0.88620 0.996 0.000 0.004
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.1163 0.88797 0.028 0.972 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0237 0.88620 0.996 0.000 0.004
#> D336B440-AEFF-428A-B92D-A4315400B199 3 0.5058 0.78262 0.244 0.000 0.756
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.1643 0.87213 0.956 0.000 0.044
#> 30F1F921-CB9F-4850-B695-17003B532B96 3 0.3816 0.85113 0.148 0.000 0.852
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0237 0.88620 0.996 0.000 0.004
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0237 0.88620 0.996 0.000 0.004
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 3 0.6309 0.11089 0.500 0.000 0.500
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.88607 1.000 0.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.4591 0.83545 0.032 0.848 0.120
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 3 0.3192 0.83179 0.112 0.000 0.888
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 3 0.5659 0.75406 0.248 0.012 0.740
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.4963 0.71379 0.200 0.792 0.008
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 3 0.4605 0.83938 0.204 0.000 0.796
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0237 0.88620 0.996 0.000 0.004
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0237 0.88620 0.996 0.000 0.004
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0237 0.88620 0.996 0.000 0.004
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.2959 0.84392 0.900 0.000 0.100
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.3933 0.84760 0.028 0.880 0.092
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 3 0.2959 0.82783 0.100 0.000 0.900
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.5500 0.80395 0.084 0.816 0.100
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.1643 0.87213 0.956 0.000 0.044
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0237 0.88620 0.996 0.000 0.004
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.6307 -0.27269 0.512 0.000 0.488
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.5147 0.82287 0.180 0.020 0.800
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4413 0.81202 0.852 0.024 0.124
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.7129 0.16348 0.580 0.028 0.392
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0848 0.88234 0.984 0.008 0.008
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.3933 0.84760 0.028 0.880 0.092
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.4452 0.69197 0.808 0.000 0.192
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.1585 0.88715 0.028 0.964 0.008
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 3 0.4504 0.84323 0.196 0.000 0.804
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 3 0.4605 0.83938 0.204 0.000 0.796
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.5859 0.69416 0.344 0.000 0.656
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.3619 0.76940 0.864 0.000 0.136
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.1163 0.88797 0.028 0.972 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.88607 1.000 0.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0237 0.88620 0.996 0.000 0.004
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.3412 0.82934 0.876 0.000 0.124
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0592 0.88337 0.988 0.000 0.012
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.4195 0.81312 0.852 0.012 0.136
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.9112 -0.04993 0.140 0.432 0.428
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.7256 0.00434 0.532 0.028 0.440
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1031 0.87590 0.976 0.000 0.024
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.88607 1.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.88607 1.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.5733 0.39837 0.676 0.000 0.324
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4796 0.62191 0.780 0.000 0.220
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0237 0.88620 0.996 0.000 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.3192 0.83417 0.888 0.000 0.112
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 3 0.3879 0.85122 0.152 0.000 0.848
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.3192 0.80586 0.888 0.000 0.112
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0237 0.88620 0.996 0.000 0.004
#> E8D127A4-72BB-4418-B799-76147F40BDC7 3 0.5529 0.78572 0.296 0.000 0.704
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4235 0.71870 0.824 0.000 0.176
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 3 0.5948 0.69263 0.360 0.000 0.640
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.1585 0.88715 0.028 0.964 0.008
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0237 0.88620 0.996 0.000 0.004
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.1163 0.87652 0.972 0.000 0.028
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.3686 0.81775 0.860 0.000 0.140
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.7245 0.62944 0.712 0.168 0.120
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.88607 1.000 0.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.5760 0.40406 0.672 0.000 0.328
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1163 0.87821 0.972 0.000 0.028
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0237 0.88620 0.996 0.000 0.004
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.8755 0.25173 0.400 0.488 0.112
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 3 0.4504 0.84323 0.196 0.000 0.804
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0237 0.88620 0.996 0.000 0.004
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.6008 0.27344 0.000 0.372 0.628
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.8627 0.29042 0.392 0.504 0.104
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0892 0.88162 0.980 0.000 0.020
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.5968 0.25921 0.636 0.000 0.364
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.6267 -0.13507 0.548 0.000 0.452
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0237 0.88620 0.996 0.000 0.004
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.6168 0.03492 0.588 0.000 0.412
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0237 0.88620 0.996 0.000 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.88607 1.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 3 0.3816 0.85113 0.148 0.000 0.852
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.88607 1.000 0.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1031 0.88044 0.976 0.000 0.024
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0237 0.88620 0.996 0.000 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.2564 0.87827 0.028 0.936 0.036
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.3551 0.82451 0.868 0.000 0.132
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0237 0.88620 0.996 0.000 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.7004 0.71183 0.160 0.728 0.112
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.6715 0.64675 0.312 0.028 0.660
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.88607 1.000 0.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.3826 0.66583 0.008 0.124 0.868
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.1585 0.88715 0.028 0.964 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.1163 0.88797 0.028 0.972 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0237 0.88620 0.996 0.000 0.004
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.3686 0.82050 0.860 0.000 0.140
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.6192 0.05717 0.580 0.000 0.420
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.4750 0.81830 0.216 0.000 0.784
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.7268 -0.01427 0.524 0.028 0.448
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.5138 0.78842 0.252 0.000 0.748
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.88607 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.8201 0.51678 0.276 0.612 0.112
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0237 0.88620 0.996 0.000 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.88607 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.3116 0.83363 0.108 0.000 0.892
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.1163 0.87821 0.972 0.000 0.028
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5028 0.54310 0.400 0.000 0.596 0.004
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.6894 0.14995 0.536 0.000 0.120 0.344
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.5204 0.23821 0.612 0.000 0.376 0.012
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0927 0.80293 0.976 0.000 0.008 0.016
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.7397 0.03589 0.508 0.000 0.200 0.292
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0817 0.81276 0.976 0.000 0.024 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0707 0.81345 0.980 0.000 0.020 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0188 0.81237 0.996 0.000 0.004 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.4456 0.65402 0.280 0.000 0.716 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4647 0.66386 0.244 0.008 0.740 0.008
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.5821 -0.07498 0.536 0.000 0.432 0.032
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.96581 0.000 1.000 0.000 0.000
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#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 3 0.5355 0.58796 0.408 0.008 0.580 0.004
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0188 0.81237 0.996 0.000 0.004 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.4635 0.72166 0.028 0.000 0.216 0.756
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.4936 0.58056 0.372 0.000 0.624 0.004
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.1211 0.83930 0.000 0.000 0.040 0.960
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.1510 0.85489 0.016 0.000 0.028 0.956
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.1520 0.85704 0.020 0.000 0.024 0.956
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.96581 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 4 0.5448 0.66953 0.196 0.000 0.080 0.724
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.4522 0.31270 0.680 0.000 0.320 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.1452 0.85913 0.036 0.000 0.008 0.956
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 3 0.7567 0.40353 0.396 0.000 0.412 0.192
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.4770 0.32619 0.000 0.288 0.700 0.012
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.1452 0.84885 0.008 0.000 0.036 0.956
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 4 0.7427 0.23766 0.200 0.000 0.300 0.500
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.5911 0.41875 0.196 0.692 0.112 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.2500 0.85382 0.044 0.000 0.040 0.916
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0817 0.81276 0.976 0.000 0.024 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0188 0.81237 0.996 0.000 0.004 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.5165 0.45698 0.484 0.000 0.512 0.004
#> 3F79FC21-B181-42FE-914B-CC298BD72343 3 0.4999 -0.02484 0.000 0.492 0.508 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.1452 0.84885 0.008 0.000 0.036 0.956
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 3 0.6340 0.37370 0.076 0.344 0.580 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.4679 0.20685 0.648 0.000 0.352 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.5837 0.44163 0.668 0.000 0.072 0.260
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 4 0.6390 0.65995 0.132 0.000 0.224 0.644
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.4964 0.59225 0.380 0.000 0.616 0.004
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.7740 0.04875 0.364 0.000 0.404 0.232
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.1940 0.78630 0.924 0.000 0.076 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.4933 0.12879 0.000 0.432 0.568 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.2300 0.78619 0.924 0.000 0.048 0.028
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.1867 0.92064 0.000 0.928 0.072 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.1302 0.85704 0.044 0.000 0.000 0.956
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.1767 0.85798 0.044 0.000 0.012 0.944
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.5998 0.60365 0.240 0.000 0.092 0.668
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1820 0.78346 0.944 0.000 0.020 0.036
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.96581 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.4283 0.43389 0.740 0.000 0.256 0.004
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.2281 0.76268 0.904 0.000 0.096 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.4456 0.65402 0.280 0.000 0.716 0.004
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.8753 -0.14383 0.076 0.176 0.468 0.280
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.7690 -0.01464 0.264 0.000 0.456 0.280
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0188 0.81237 0.996 0.000 0.004 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2530 0.72748 0.896 0.000 0.004 0.100
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.3942 0.53853 0.764 0.000 0.000 0.236
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.5151 0.45171 0.464 0.000 0.532 0.004
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1452 0.85913 0.036 0.000 0.008 0.956
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1743 0.78683 0.940 0.000 0.056 0.004
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.1557 0.79987 0.944 0.000 0.056 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.5179 0.66916 0.220 0.000 0.052 0.728
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.1174 0.80081 0.968 0.000 0.020 0.012
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.5590 0.61016 0.244 0.000 0.064 0.692
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.1940 0.91640 0.000 0.924 0.076 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0817 0.81276 0.976 0.000 0.024 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.5329 0.09428 0.568 0.000 0.420 0.012
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.5155 0.41093 0.468 0.000 0.528 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.5601 0.58546 0.380 0.020 0.596 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.7216 0.01741 0.508 0.000 0.336 0.156
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2216 0.73834 0.908 0.000 0.092 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0921 0.81278 0.972 0.000 0.028 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.6395 0.63073 0.316 0.076 0.604 0.004
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1302 0.85704 0.044 0.000 0.000 0.956
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.2021 0.81003 0.000 0.056 0.012 0.932
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.6182 0.65938 0.276 0.088 0.636 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.3801 0.55924 0.780 0.000 0.220 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3813 0.66220 0.828 0.000 0.024 0.148
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.5389 0.41149 0.660 0.000 0.032 0.308
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.1637 0.79784 0.940 0.000 0.060 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4690 0.49143 0.724 0.000 0.016 0.260
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.1452 0.85913 0.036 0.000 0.008 0.956
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2868 0.70154 0.864 0.000 0.136 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4193 0.45813 0.732 0.000 0.268 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.5406 -0.06784 0.000 0.480 0.508 0.012
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.4483 0.65517 0.284 0.000 0.712 0.004
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.81270 1.000 0.000 0.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.5833 0.53021 0.096 0.212 0.692 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.7486 -0.17589 0.188 0.000 0.464 0.348
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.1593 0.84180 0.004 0.016 0.024 0.956
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.1867 0.92064 0.000 0.928 0.072 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.96581 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0817 0.81276 0.976 0.000 0.024 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.4560 0.64996 0.296 0.000 0.700 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.5000 -0.09573 0.500 0.000 0.000 0.500
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.5077 0.72434 0.160 0.000 0.080 0.760
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.7674 -0.01382 0.260 0.000 0.460 0.280
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.5384 0.67613 0.196 0.000 0.076 0.728
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.7076 0.63172 0.224 0.184 0.588 0.004
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0188 0.81237 0.996 0.000 0.004 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0921 0.81212 0.972 0.000 0.028 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1452 0.84885 0.008 0.000 0.036 0.956
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3725 0.61592 0.812 0.000 0.180 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0671 0.8110 0.980 0.000 0.016 0.000 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.6229 0.3113 0.392 0.000 0.144 0.000 0.464
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1830 0.8067 0.924 0.000 0.068 0.000 0.008
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.7683 -0.0533 0.464 0.000 0.224 0.228 0.084
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 5 0.6610 0.2498 0.340 0.000 0.224 0.000 0.436
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1582 0.8043 0.944 0.000 0.028 0.000 0.028
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.7809 0.0777 0.420 0.000 0.080 0.276 0.224
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1430 0.8128 0.944 0.000 0.052 0.000 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1557 0.8121 0.940 0.000 0.052 0.000 0.008
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0566 0.8146 0.984 0.000 0.012 0.000 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.3043 0.5751 0.056 0.000 0.080 0.000 0.864
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.3714 0.5588 0.056 0.000 0.132 0.000 0.812
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 5 0.6728 0.2789 0.264 0.000 0.268 0.004 0.464
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0404 0.8877 0.000 0.988 0.000 0.000 0.012
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.6200 0.1736 0.548 0.000 0.196 0.000 0.256
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2110 0.8066 0.912 0.000 0.072 0.000 0.016
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 5 0.6852 0.2160 0.332 0.000 0.256 0.004 0.408
#> BD213FB6-2DB9-4955-B061-4CD47604176B 5 0.6852 0.2160 0.332 0.000 0.256 0.004 0.408
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.4276 0.5906 0.164 0.036 0.020 0.000 0.780
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5892 0.1502 0.520 0.000 0.108 0.000 0.372
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3141 0.7641 0.852 0.000 0.108 0.000 0.040
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4269 0.6882 0.756 0.000 0.188 0.000 0.056
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.5974 0.3947 0.564 0.000 0.144 0.000 0.292
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.3491 0.7012 0.036 0.000 0.072 0.856 0.036
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0807 0.8150 0.976 0.000 0.012 0.000 0.012
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.2605 0.8064 0.000 0.852 0.000 0.000 0.148
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1082 0.8074 0.964 0.000 0.028 0.000 0.008
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.6001 0.4861 0.580 0.000 0.244 0.000 0.176
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.5655 0.5047 0.640 0.000 0.224 0.004 0.132
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.1571 0.8124 0.936 0.000 0.060 0.000 0.004
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1571 0.8119 0.936 0.000 0.060 0.000 0.004
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.6139 0.3921 0.016 0.000 0.128 0.596 0.260
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1943 0.7996 0.924 0.000 0.020 0.000 0.056
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.2233 0.5368 0.000 0.080 0.016 0.000 0.904
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.3242 0.7577 0.000 0.784 0.000 0.000 0.216
#> 08E3097B-3A58-4129-9305-1A0F7452C063 5 0.6206 0.3771 0.200 0.000 0.252 0.000 0.548
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.3667 0.6745 0.000 0.000 0.140 0.812 0.048
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3715 0.7119 0.000 0.736 0.004 0.000 0.260
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4974 0.6240 0.696 0.000 0.092 0.000 0.212
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8933 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.5738 0.2956 0.604 0.000 0.132 0.000 0.264
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.4138 0.5986 0.152 0.040 0.016 0.000 0.792
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8933 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.7359 0.0625 0.476 0.000 0.172 0.292 0.060
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#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.1764 0.8079 0.928 0.000 0.064 0.000 0.008
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0671 0.8110 0.980 0.000 0.016 0.000 0.004
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 5 0.7621 0.2643 0.336 0.000 0.072 0.176 0.416
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.1571 0.8124 0.936 0.000 0.060 0.000 0.004
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 5 0.4589 0.4525 0.000 0.064 0.212 0.000 0.724
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.0290 0.7516 0.000 0.000 0.008 0.992 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.7937 0.0449 0.160 0.000 0.136 0.264 0.440
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.6547 0.2385 0.164 0.516 0.012 0.000 0.308
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.3736 0.6724 0.000 0.000 0.140 0.808 0.052
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0771 0.8102 0.976 0.000 0.020 0.000 0.004
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.2992 0.7744 0.868 0.000 0.064 0.000 0.068
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.2726 0.7819 0.884 0.000 0.064 0.000 0.052
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.5771 -0.1164 0.480 0.000 0.088 0.000 0.432
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.4387 0.2325 0.000 0.348 0.012 0.000 0.640
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.4831 0.5218 0.068 0.176 0.016 0.000 0.740
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.5304 0.3893 0.628 0.000 0.080 0.000 0.292
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0955 0.8143 0.968 0.000 0.028 0.000 0.004
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.6296 0.4540 0.644 0.000 0.160 0.140 0.056
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 4 0.6746 -0.0579 0.084 0.000 0.408 0.456 0.052
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.4240 0.5950 0.228 0.000 0.036 0.000 0.736
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.5156 0.8789 0.140 0.000 0.728 0.112 0.020
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.3995 0.6828 0.776 0.000 0.180 0.000 0.044
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.3967 0.3773 0.000 0.264 0.012 0.000 0.724
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.3942 0.7314 0.828 0.000 0.080 0.028 0.064
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.3461 0.7488 0.000 0.772 0.004 0.000 0.224
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0865 0.7504 0.000 0.000 0.024 0.972 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.7400 0.1014 0.200 0.000 0.244 0.492 0.064
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.3869 0.7425 0.832 0.000 0.084 0.028 0.056
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8933 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.2426 0.7899 0.900 0.000 0.064 0.000 0.036
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.5066 0.5497 0.676 0.000 0.084 0.000 0.240
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4364 0.6414 0.768 0.000 0.112 0.000 0.120
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.2592 0.5821 0.056 0.000 0.052 0.000 0.892
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.5824 0.7857 0.056 0.032 0.728 0.112 0.072
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5208 0.8810 0.128 0.000 0.728 0.120 0.024
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1965 0.7959 0.924 0.000 0.024 0.000 0.052
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.1956 0.8041 0.916 0.000 0.076 0.000 0.008
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1956 0.8041 0.916 0.000 0.076 0.000 0.008
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.3385 0.7594 0.864 0.000 0.036 0.044 0.056
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.5840 0.4174 0.652 0.000 0.068 0.236 0.044
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1205 0.8132 0.956 0.000 0.040 0.000 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.5713 0.3126 0.416 0.000 0.084 0.000 0.500
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.3465 0.7326 0.840 0.000 0.104 0.004 0.052
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2921 0.7858 0.856 0.000 0.124 0.000 0.020
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.6345 0.4577 0.156 0.000 0.156 0.636 0.052
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.2103 0.7923 0.920 0.000 0.020 0.004 0.056
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.7268 0.1785 0.260 0.000 0.184 0.500 0.056
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.3807 0.7231 0.000 0.748 0.012 0.000 0.240
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0865 0.8150 0.972 0.000 0.024 0.000 0.004
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 5 0.6586 0.2893 0.292 0.000 0.244 0.000 0.464
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.5589 0.3915 0.372 0.000 0.080 0.000 0.548
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.4752 0.5263 0.316 0.000 0.036 0.000 0.648
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 5 0.7266 0.1544 0.296 0.000 0.248 0.028 0.428
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4025 0.6524 0.792 0.000 0.076 0.000 0.132
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0898 0.8141 0.972 0.000 0.008 0.000 0.020
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4449 0.5533 0.288 0.004 0.020 0.000 0.688
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.0324 0.7470 0.000 0.004 0.000 0.992 0.004
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.3940 0.5989 0.208 0.008 0.016 0.000 0.768
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4449 0.6302 0.752 0.000 0.080 0.000 0.168
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.5702 0.5858 0.708 0.000 0.112 0.112 0.068
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.6430 0.3964 0.624 0.000 0.108 0.204 0.064
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2473 0.7953 0.896 0.000 0.072 0.000 0.032
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.6313 0.3269 0.608 0.000 0.076 0.256 0.060
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1981 0.7933 0.920 0.000 0.064 0.000 0.016
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.1956 0.8041 0.916 0.000 0.076 0.000 0.008
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.3362 0.7493 0.844 0.000 0.080 0.000 0.076
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4841 0.5581 0.708 0.000 0.084 0.000 0.208
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0771 0.8102 0.976 0.000 0.020 0.000 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 5 0.6292 0.2802 0.000 0.260 0.208 0.000 0.532
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.4503 0.5915 0.124 0.000 0.120 0.000 0.756
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0898 0.8110 0.972 0.000 0.020 0.000 0.008
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.2379 0.5654 0.028 0.048 0.012 0.000 0.912
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.5072 0.8648 0.112 0.000 0.740 0.124 0.024
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.2645 0.8033 0.888 0.000 0.068 0.000 0.044
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.7523 0.000 0.000 0.000 1.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.3756 0.7194 0.000 0.744 0.008 0.000 0.248
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8933 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1357 0.8134 0.948 0.000 0.048 0.000 0.004
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4313 0.6094 0.172 0.000 0.068 0.000 0.760
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.5813 0.0531 0.428 0.000 0.024 0.504 0.044
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.6441 0.4504 0.156 0.000 0.160 0.628 0.056
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.5281 0.8795 0.124 0.000 0.728 0.116 0.032
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.6465 0.4539 0.152 0.000 0.160 0.628 0.060
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.5154 0.5710 0.248 0.048 0.020 0.000 0.684
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2291 0.7929 0.908 0.000 0.056 0.000 0.036
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1894 0.8056 0.920 0.000 0.072 0.000 0.008
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0162 0.7509 0.000 0.000 0.004 0.996 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6246 0.1292 0.536 0.000 0.192 0.000 0.272
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2149 0.72330 0.900 0.000 0.080 0.000 0.016 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.7589 -0.00930 0.320 0.000 0.184 0.000 0.204 0.292
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.3059 0.69609 0.856 0.000 0.040 0.000 0.020 0.084
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 6 0.7144 0.36721 0.276 0.000 0.168 0.088 0.012 0.456
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.4165 0.71672 0.160 0.000 0.740 0.000 0.100 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4352 0.59487 0.752 0.000 0.084 0.000 0.020 0.144
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 6 0.7854 0.30846 0.288 0.000 0.084 0.132 0.084 0.412
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1180 0.73368 0.960 0.000 0.012 0.000 0.016 0.012
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1168 0.73199 0.956 0.000 0.000 0.000 0.028 0.016
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.3466 0.68228 0.820 0.000 0.072 0.000 0.008 0.100
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4217 -0.04457 0.008 0.000 0.464 0.000 0.524 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4358 0.37146 0.008 0.000 0.596 0.000 0.380 0.016
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3413 0.72018 0.108 0.000 0.812 0.000 0.080 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1501 0.82532 0.000 0.924 0.000 0.000 0.076 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.4045 0.51429 0.336 0.000 0.648 0.000 0.008 0.008
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3167 0.70496 0.852 0.000 0.028 0.000 0.040 0.080
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3408 0.71163 0.152 0.000 0.800 0.000 0.048 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3408 0.71163 0.152 0.000 0.800 0.000 0.048 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.4386 0.53066 0.044 0.012 0.020 0.000 0.752 0.172
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6006 0.33942 0.564 0.000 0.052 0.000 0.272 0.112
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5278 0.33322 0.584 0.000 0.100 0.000 0.008 0.308
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.2821 0.67184 0.832 0.000 0.000 0.000 0.016 0.152
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 6 0.6152 0.04935 0.388 0.000 0.052 0.000 0.096 0.464
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4969 0.38883 0.024 0.000 0.032 0.564 0.000 0.380
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2641 0.71470 0.876 0.000 0.072 0.000 0.004 0.048
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.3810 0.32091 0.000 0.572 0.000 0.000 0.428 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.2587 0.70810 0.868 0.000 0.108 0.000 0.020 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 6 0.5933 0.04364 0.400 0.000 0.052 0.000 0.072 0.476
#> 54F31962-F589-4C36-B597-3965989EA02E 6 0.5433 0.09249 0.452 0.000 0.060 0.000 0.024 0.464
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.2428 0.71531 0.896 0.000 0.024 0.000 0.020 0.060
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.2371 0.73252 0.900 0.000 0.052 0.000 0.016 0.032
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.3162 0.72155 0.852 0.000 0.064 0.000 0.020 0.064
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.6437 0.12622 0.016 0.000 0.000 0.360 0.264 0.360
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4568 0.48390 0.688 0.000 0.080 0.000 0.004 0.228
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.3534 0.47424 0.000 0.024 0.200 0.000 0.772 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.3991 0.21138 0.000 0.524 0.000 0.000 0.472 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3946 0.69844 0.088 0.000 0.772 0.000 0.136 0.004
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.3966 0.41536 0.000 0.000 0.004 0.552 0.000 0.444
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.3864 -0.11439 0.000 0.480 0.000 0.000 0.520 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.6046 0.16183 0.480 0.000 0.056 0.000 0.080 0.384
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.88333 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.4546 0.23913 0.444 0.000 0.528 0.000 0.008 0.020
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.4208 0.55332 0.096 0.012 0.132 0.000 0.760 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.88333 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.2428 0.71496 0.896 0.000 0.024 0.000 0.020 0.060
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 6 0.5731 0.37101 0.344 0.000 0.000 0.156 0.004 0.496
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.6200 0.45010 0.588 0.000 0.144 0.000 0.184 0.084
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.3979 0.39664 0.000 0.000 0.004 0.540 0.000 0.456
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.2345 0.71634 0.900 0.000 0.020 0.000 0.020 0.060
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 6 0.5901 0.10407 0.004 0.000 0.132 0.016 0.320 0.528
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#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
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#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.2349 0.72108 0.892 0.000 0.080 0.000 0.020 0.008
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#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
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#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.6193 0.39967 0.552 0.000 0.092 0.000 0.272 0.084
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#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.5352 0.52049 0.664 0.000 0.052 0.000 0.196 0.088
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#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 6 0.5288 0.19088 0.440 0.000 0.016 0.060 0.000 0.484
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 6 0.7044 0.15514 0.056 0.000 0.112 0.196 0.084 0.552
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.5467 0.52926 0.184 0.000 0.096 0.000 0.660 0.060
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 6 0.6477 0.24323 0.020 0.000 0.192 0.036 0.196 0.556
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.3584 0.57958 0.740 0.000 0.004 0.000 0.012 0.244
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.3566 0.50363 0.000 0.224 0.024 0.000 0.752 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.5182 0.07203 0.508 0.000 0.064 0.004 0.004 0.420
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.4468 -0.15894 0.000 0.484 0.020 0.000 0.492 0.004
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
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#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 6 0.7071 0.16373 0.112 0.000 0.172 0.240 0.004 0.472
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#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5207 0.36965 0.592 0.000 0.132 0.000 0.000 0.276
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.6196 0.42705 0.552 0.000 0.060 0.000 0.128 0.260
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.5146 0.43546 0.620 0.000 0.284 0.000 0.016 0.080
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.4049 0.13078 0.004 0.000 0.412 0.000 0.580 0.004
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 6 0.6364 0.23563 0.012 0.000 0.192 0.036 0.204 0.556
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 6 0.6477 0.24323 0.020 0.000 0.192 0.036 0.196 0.556
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.4340 0.57308 0.740 0.000 0.080 0.000 0.012 0.168
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.3255 0.68886 0.844 0.000 0.052 0.000 0.020 0.084
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.3255 0.68886 0.844 0.000 0.052 0.000 0.020 0.084
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.5967 0.19340 0.528 0.000 0.084 0.020 0.020 0.348
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.6708 0.18456 0.524 0.000 0.128 0.136 0.000 0.212
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.2094 0.72381 0.900 0.000 0.080 0.000 0.020 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.5984 0.24953 0.536 0.000 0.052 0.000 0.320 0.092
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.5067 0.01019 0.488 0.000 0.048 0.000 0.012 0.452
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2657 0.71142 0.880 0.000 0.024 0.000 0.020 0.076
#> E8D127A4-72BB-4418-B799-76147F40BDC7 6 0.5439 -0.08081 0.088 0.000 0.004 0.428 0.004 0.476
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.5272 0.35322 0.596 0.000 0.084 0.000 0.016 0.304
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 6 0.5834 0.18641 0.184 0.000 0.000 0.316 0.004 0.496
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.3869 0.13903 0.000 0.500 0.000 0.000 0.500 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1887 0.73340 0.924 0.000 0.048 0.000 0.016 0.012
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.4036 0.72433 0.136 0.000 0.756 0.000 0.108 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.6557 0.25074 0.352 0.000 0.040 0.000 0.420 0.188
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.4736 0.54155 0.212 0.000 0.004 0.000 0.680 0.104
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.2507 0.71374 0.892 0.000 0.028 0.000 0.020 0.060
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.5034 0.53005 0.064 0.000 0.712 0.028 0.020 0.176
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4538 0.30174 0.600 0.000 0.364 0.000 0.008 0.028
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.1606 0.73133 0.932 0.000 0.056 0.000 0.004 0.008
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4223 0.56737 0.192 0.000 0.004 0.000 0.732 0.072
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2990 0.69836 0.860 0.000 0.036 0.000 0.020 0.084
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.0146 0.74563 0.000 0.000 0.000 0.996 0.004 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.4213 0.56616 0.160 0.004 0.092 0.000 0.744 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4103 0.64914 0.792 0.000 0.052 0.000 0.068 0.088
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.6192 -0.09734 0.436 0.000 0.116 0.032 0.004 0.412
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 6 0.6834 0.22995 0.380 0.000 0.112 0.084 0.008 0.416
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.3665 0.60072 0.760 0.000 0.012 0.000 0.016 0.212
#> 151D2793-713F-46BE-A553-A1011E8002E2 6 0.6809 0.18894 0.388 0.000 0.112 0.108 0.000 0.392
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.2706 0.70305 0.852 0.000 0.124 0.000 0.000 0.024
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.3127 0.69375 0.852 0.000 0.044 0.000 0.020 0.084
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.3610 0.67616 0.824 0.000 0.052 0.000 0.036 0.088
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4944 0.58027 0.716 0.000 0.052 0.000 0.144 0.088
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2349 0.72108 0.892 0.000 0.080 0.000 0.020 0.008
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.5701 0.36628 0.000 0.156 0.540 0.000 0.296 0.008
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.7049 0.08359 0.196 0.000 0.356 0.000 0.364 0.084
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2918 0.71360 0.864 0.000 0.084 0.000 0.020 0.032
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.3368 0.46998 0.000 0.012 0.232 0.000 0.756 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 6 0.6477 0.24323 0.020 0.000 0.192 0.036 0.196 0.556
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3433 0.67494 0.808 0.000 0.020 0.000 0.020 0.152
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.3869 -0.16969 0.000 0.500 0.000 0.000 0.500 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0146 0.88154 0.000 0.996 0.000 0.000 0.000 0.004
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1448 0.73411 0.948 0.000 0.024 0.000 0.016 0.012
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.6382 0.23687 0.116 0.000 0.336 0.000 0.484 0.064
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.7329 -0.16763 0.252 0.000 0.076 0.348 0.008 0.316
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 6 0.5310 -0.07534 0.088 0.000 0.000 0.428 0.004 0.480
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 6 0.6477 0.24323 0.020 0.000 0.192 0.036 0.196 0.556
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 6 0.5364 -0.06850 0.084 0.000 0.000 0.420 0.008 0.488
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2345 0.71634 0.900 0.000 0.020 0.000 0.020 0.060
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.3431 0.55521 0.228 0.016 0.000 0.000 0.756 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4276 0.57263 0.728 0.000 0.104 0.000 0.000 0.168
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.2602 0.71058 0.884 0.000 0.024 0.000 0.020 0.072
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.74922 0.000 0.000 0.000 1.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.4042 0.55314 0.316 0.000 0.664 0.000 0.016 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.757 0.891 0.953 0.4794 0.521 0.521
#> 3 3 0.857 0.893 0.954 0.3678 0.744 0.543
#> 4 4 0.750 0.786 0.899 0.1211 0.874 0.658
#> 5 5 0.738 0.669 0.837 0.0604 0.929 0.752
#> 6 6 0.771 0.714 0.858 0.0451 0.888 0.573
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.95611 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.7219 0.72808 0.800 0.200
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.95611 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.95611 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.8499 0.62625 0.724 0.276
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.95611 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.95611 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.95611 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.95611 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.95611 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.93621 0.000 1.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.93621 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.9732 0.31142 0.404 0.596
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.93621 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.95611 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.95611 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.9044 0.54264 0.680 0.320
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.9044 0.54264 0.680 0.320
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.93621 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.9710 0.28306 0.600 0.400
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.95611 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.95611 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.95611 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.95611 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.95611 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.93621 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.95611 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.95611 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.7528 0.70350 0.784 0.216
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.95611 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.95611 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.95611 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.7219 0.76972 0.200 0.800
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.95611 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.93621 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.93621 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.8955 0.55883 0.688 0.312
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.3733 0.89209 0.928 0.072
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.93621 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.95611 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.93621 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0376 0.95296 0.996 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.93621 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.93621 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.95611 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.95611 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.95611 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.95611 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.95611 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 2 0.8267 0.67283 0.260 0.740
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.95611 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.93621 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.95611 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.6148 0.82033 0.152 0.848
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.95611 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.0000 0.93621 0.000 1.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.93621 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.95611 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.93621 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.9170 0.46904 0.668 0.332
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.95611 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.93621 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.95611 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.95611 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.5842 0.83083 0.140 0.860
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.95611 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.93621 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.3431 0.89961 0.936 0.064
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.93621 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.95611 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.93621 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.93621 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.93621 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.95611 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.95611 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0672 0.93214 0.008 0.992
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.93621 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 2 0.0000 0.93621 0.000 1.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.95611 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.93621 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 2 0.3114 0.90176 0.056 0.944
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.95611 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.95611 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.95611 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.95611 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.8207 0.66001 0.744 0.256
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.95611 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.5629 0.82334 0.868 0.132
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.8763 0.58986 0.704 0.296
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.95611 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.95611 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.95611 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.95611 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.95611 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.95611 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.95611 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.95611 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.95611 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.93621 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.93621 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.93621 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.93621 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.95611 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.8327 0.67889 0.264 0.736
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.95611 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 2 0.0000 0.93621 0.000 1.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0000 0.95611 1.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.93621 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.95611 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.95611 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.3274 0.90616 0.940 0.060
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.93621 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 2 0.2043 0.91693 0.032 0.968
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.95611 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.95611 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.93621 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.93621 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.95611 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.6623 0.76988 0.828 0.172
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.95611 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.95611 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.95611 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 2 0.5178 0.85410 0.116 0.884
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.9608 0.33240 0.616 0.384
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.95611 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.8608 0.57761 0.716 0.284
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.95611 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.93621 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.95611 1.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.95611 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.93621 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.95611 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.93621 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.93621 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.95611 1.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0000 0.95611 1.000 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.0000 0.95611 1.000 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 2 0.9209 0.54855 0.336 0.664
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.0000 0.93621 0.000 1.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.95611 1.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.0000 0.93621 0.000 1.000
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.1184 0.94347 0.984 0.016
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.0000 0.95611 1.000 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.0000 0.93621 0.000 1.000
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.93621 0.000 1.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0000 0.95611 1.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 2 0.0000 0.93621 0.000 1.000
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0000 0.95611 1.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 2 0.0000 0.93621 0.000 1.000
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 2 0.0000 0.93621 0.000 1.000
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.0000 0.95611 1.000 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.8144 0.66649 0.748 0.252
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.0000 0.95611 1.000 0.000
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.0000 0.95611 1.000 0.000
#> 96B96425-04BD-4676-85EC-CCBC598533AB 1 0.8016 0.65419 0.756 0.244
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 2 0.2603 0.91086 0.044 0.956
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 1 0.0000 0.95611 1.000 0.000
#> 3B32E2B1-2825-430A-9081-2CAAE9A5FC7B 2 0.0672 0.93220 0.008 0.992
#> D09CCEEC-D367-4E44-B5F9-B3C63E19978F 2 0.0000 0.93621 0.000 1.000
#> 4B996600-09E0-4BED-B6D0-DDA3F3A0244A 2 0.0000 0.93621 0.000 1.000
#> 9B7FBC10-BCF3-477F-90FB-6EC5EB331ED6 1 0.0000 0.95611 1.000 0.000
#> 038D968B-D0EB-4F80-931A-625CF43FF8A5 1 0.0000 0.95611 1.000 0.000
#> 32287466-B795-4FA1-A7FB-3F9720B690BB 1 0.0000 0.95611 1.000 0.000
#> 51594BC1-010E-4CCE-A703-17034B351676 1 0.0000 0.95611 1.000 0.000
#> 55939D41-76B2-4AFF-A214-51E4254A8CF0 2 0.0000 0.93621 0.000 1.000
#> 8C98CB0A-9459-4D49-851B-98038A6913D1 1 0.0000 0.95611 1.000 0.000
#> CD9FB76F-6F1C-468E-86AE-8344CB3495F5 1 0.0000 0.95611 1.000 0.000
#> 26855314-D3FC-4D8E-9BD4-B2CAEBD0F21E 1 0.0000 0.95611 1.000 0.000
#> 079572F0-9F70-4576-BFE3-5B886942D0A1 1 0.0000 0.95611 1.000 0.000
#> 1EAD4B60-AD2B-4ECC-AB7A-6BCEE0AEEFB0 1 0.8207 0.66001 0.744 0.256
#> FC2EF8E3-788F-4597-A6A5-6A987ADEC30F 1 0.0000 0.95611 1.000 0.000
#> 30FBB795-35B2-49C3-A6E6-9852FC6796F4 1 0.0000 0.95611 1.000 0.000
#> C2C25CBF-4F7F-4A10-AA40-4A71C5A9557C 2 0.0000 0.93621 0.000 1.000
#> 542485C7-2543-40BA-80BC-D9735C73C657 1 0.0000 0.95611 1.000 0.000
#> E4F7EC78-E1DA-4B71-87FF-98489319F6CA 2 0.0000 0.93621 0.000 1.000
#> 2078AFD6-102A-453C-81C1-4099084A8A7D 1 0.0000 0.95611 1.000 0.000
#> 8E63F646-202A-4D01-A979-496B35873C94 1 0.0000 0.95611 1.000 0.000
#> D609AE96-04F2-47BC-B08A-0A328E0D37C2 1 0.0000 0.95611 1.000 0.000
#> 2B3D8D62-AF3E-4F76-99FC-0F0CF55FCB32 1 0.9909 0.13467 0.556 0.444
#> 35A87924-02CC-482F-A551-D71E81DFF639 1 0.0000 0.95611 1.000 0.000
#> DD5B20B2-F355-432D-8CDC-E92E0D380D0B 2 0.6343 0.81262 0.160 0.840
#> 5490E358-C0DA-46B4-87B5-F1258DFD91D2 2 0.9996 0.07984 0.488 0.512
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#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.95611 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.95611 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.95611 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.95611 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.0000 0.93621 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.5842 0.81778 0.860 0.140
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.95611 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.93621 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.95611 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.93621 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0672 0.94980 0.992 0.008
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.95611 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.95611 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.95611 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.93621 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.95611 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.95611 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.2423 0.92293 0.960 0.040
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.95611 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.93621 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.93621 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.8267 0.66796 0.260 0.740
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.95611 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.95611 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.95611 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.95611 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.95611 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.95611 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.8861 0.53412 0.696 0.304
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.95611 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.95611 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.95611 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.95611 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.95611 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.95611 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.93621 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.95611 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.8267 0.65349 0.740 0.260
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.9710 0.40309 0.400 0.600
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.7219 0.76972 0.200 0.800
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.95611 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.95611 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.95611 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.95611 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.93621 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.95611 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.95611 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.93621 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0672 0.93214 0.008 0.992
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.95611 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.95611 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.95611 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.95611 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.95611 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.95611 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.95611 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.2043 0.92983 0.968 0.032
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.95611 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.95611 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.95611 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.93621 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.9608 0.37543 0.384 0.616
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.95611 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.93621 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 2 0.4690 0.87052 0.100 0.900
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.95611 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.93621 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.93621 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.93621 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.95611 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.7528 0.74925 0.216 0.784
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.95611 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4815 0.85711 0.896 0.104
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.2778 0.90822 0.048 0.952
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.9170 0.55667 0.332 0.668
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.95611 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.93621 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.95611 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.95611 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.6343 0.81262 0.160 0.840
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.95611 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0237 0.95046 0.996 0.000 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5882 0.47216 0.348 0.000 0.652
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.94978 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.0000 0.95443 0.000 0.000 1.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4733 0.75612 0.800 0.196 0.004
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4931 0.69886 0.768 0.000 0.232
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.0592 0.94869 0.012 0.000 0.988
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0237 0.95046 0.996 0.000 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0237 0.95046 0.996 0.000 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0237 0.95046 0.996 0.000 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.94761 0.000 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0237 0.94540 0.004 0.996 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6154 0.34192 0.592 0.408 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.94761 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0237 0.95046 0.996 0.000 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.94978 1.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.4784 0.75091 0.796 0.200 0.004
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.4784 0.75091 0.796 0.200 0.004
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.94761 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6111 0.31443 0.604 0.396 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0237 0.95046 0.996 0.000 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0237 0.95046 0.996 0.000 0.004
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.1031 0.93981 0.024 0.000 0.976
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 3 0.0000 0.95443 0.000 0.000 1.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.95046 0.996 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.94761 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0237 0.95046 0.996 0.000 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.6309 -0.02203 0.504 0.000 0.496
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4452 0.75310 0.192 0.000 0.808
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.94978 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.94978 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.94978 1.000 0.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.0237 0.95250 0.000 0.004 0.996
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4121 0.78967 0.832 0.000 0.168
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.94761 0.000 1.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.94761 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4504 0.75522 0.804 0.196 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 3 0.0000 0.95443 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.94761 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0237 0.94830 0.996 0.000 0.004
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.94761 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0237 0.95046 0.996 0.000 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.94761 0.000 1.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.94761 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.94978 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.0000 0.95443 0.000 0.000 1.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.94978 1.000 0.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 3 0.0000 0.95443 0.000 0.000 1.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.94978 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.0237 0.95232 0.004 0.000 0.996
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.0000 0.95443 0.000 0.000 1.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.94761 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0237 0.95046 0.996 0.000 0.004
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.0237 0.95250 0.000 0.004 0.996
#> 4336561F-B08B-401A-A016-28DD31DA97DA 3 0.0000 0.95443 0.000 0.000 1.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 3 0.1753 0.91718 0.000 0.048 0.952
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.94761 0.000 1.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.0000 0.95443 0.000 0.000 1.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.94761 0.000 1.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.1860 0.90820 0.948 0.052 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.2165 0.90176 0.064 0.000 0.936
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.94761 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0237 0.95046 0.996 0.000 0.004
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.94978 1.000 0.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0000 0.95443 0.000 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.0237 0.95232 0.004 0.000 0.996
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.94761 0.000 1.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.94978 1.000 0.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.94761 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 3 0.0000 0.95443 0.000 0.000 1.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.94761 0.000 1.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.4504 0.73041 0.000 0.804 0.196
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.94761 0.000 1.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.1267 0.93526 0.972 0.004 0.024
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.94978 1.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.1289 0.92116 0.032 0.968 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.94761 0.000 1.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 2 0.0237 0.94540 0.004 0.996 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.0000 0.95443 0.000 0.000 1.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.94761 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 2 0.4293 0.78669 0.164 0.832 0.004
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.94978 1.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 3 0.0000 0.95443 0.000 0.000 1.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0237 0.95046 0.996 0.000 0.004
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0237 0.95046 0.996 0.000 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4399 0.76570 0.812 0.188 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0237 0.95046 0.996 0.000 0.004
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.94978 1.000 0.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.4784 0.75091 0.796 0.200 0.004
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.94978 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0000 0.95443 0.000 0.000 1.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 3 0.0000 0.95443 0.000 0.000 1.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0237 0.95046 0.996 0.000 0.004
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0237 0.95046 0.996 0.000 0.004
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.94978 1.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.94978 1.000 0.000 0.000
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#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.94978 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.94761 0.000 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0237 0.95046 0.996 0.000 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.94978 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.0237 0.95250 0.000 0.004 0.996
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0237 0.95046 0.996 0.000 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3583 0.6554 0.180 0.000 0.816 0.004
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.2401 0.8636 0.004 0.000 0.092 0.904
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3801 0.7628 0.220 0.000 0.780 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4134 0.5549 0.740 0.000 0.000 0.260
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.3591 0.7867 0.008 0.000 0.168 0.824
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.3569 0.6770 0.000 0.196 0.804 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1211 0.7717 0.000 0.040 0.960 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3528 0.7817 0.192 0.000 0.808 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.4277 0.7041 0.280 0.000 0.720 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3801 0.7628 0.220 0.000 0.780 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3801 0.7628 0.220 0.000 0.780 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5672 0.5797 0.668 0.056 0.276 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3172 0.7061 0.840 0.000 0.160 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.5977 0.5994 0.104 0.000 0.216 0.680
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0336 0.8665 0.992 0.000 0.008 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1637 0.8268 0.940 0.000 0.060 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.7503 0.2856 0.488 0.000 0.212 0.300
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.5850 0.5675 0.244 0.000 0.080 0.676
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.1118 0.8624 0.964 0.000 0.036 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1389 0.8582 0.952 0.000 0.048 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.0188 0.9325 0.000 0.004 0.000 0.996
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3681 0.6740 0.816 0.000 0.008 0.176
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.1211 0.7870 0.040 0.000 0.960 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3873 0.7031 0.772 0.000 0.228 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.4564 0.6397 0.328 0.000 0.672 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.2704 0.7191 0.124 0.000 0.876 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3610 0.7565 0.000 0.000 0.200 0.800
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.3486 0.7468 0.000 0.188 0.000 0.812
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.4331 0.6315 0.712 0.000 0.288 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.3306 0.7836 0.156 0.000 0.004 0.840
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4454 0.6034 0.692 0.000 0.308 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.0967 0.9242 0.004 0.016 0.004 0.976
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.1557 0.9028 0.000 0.000 0.056 0.944
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.4431 0.6091 0.696 0.000 0.304 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.2011 0.7559 0.000 0.080 0.920 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.2704 0.7884 0.000 0.876 0.000 0.124
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.2704 0.7564 0.876 0.124 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.1867 0.8437 0.928 0.000 0.072 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0524 0.8894 0.008 0.988 0.004 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.1211 0.7717 0.000 0.040 0.960 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 4 0.0895 0.9234 0.020 0.000 0.004 0.976
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.1211 0.7722 0.000 0.040 0.960 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.3528 0.7817 0.192 0.000 0.808 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.3801 0.7110 0.780 0.000 0.220 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.3801 0.7628 0.220 0.000 0.780 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.3610 0.7773 0.200 0.000 0.800 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.1661 0.8996 0.052 0.000 0.004 0.944
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.1118 0.9135 0.036 0.000 0.000 0.964
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2216 0.8309 0.908 0.000 0.092 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2216 0.7962 0.908 0.000 0.092 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.2704 0.7527 0.876 0.000 0.000 0.124
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.7314 0.0749 0.152 0.428 0.000 0.420
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 2 0.4406 0.6077 0.000 0.700 0.300 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.0336 0.9310 0.000 0.000 0.008 0.992
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.1211 0.7859 0.040 0.000 0.960 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.0000 0.7753 0.000 0.000 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0188 0.8694 0.996 0.000 0.004 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.0188 0.7754 0.004 0.000 0.996 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.1716 0.8261 0.936 0.000 0.064 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.5160 0.6586 0.748 0.180 0.072 0.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0336 0.8665 0.992 0.000 0.008 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0188 0.8682 0.996 0.000 0.004 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.4331 0.6315 0.712 0.000 0.288 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.2704 0.8026 0.000 0.876 0.124 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 3 0.4543 0.6459 0.324 0.000 0.676 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0336 0.8666 0.992 0.000 0.008 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.3801 0.7110 0.780 0.000 0.220 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.3610 0.7073 0.200 0.000 0.000 0.800
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.2704 0.7963 0.000 0.876 0.124 0.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 3 0.4804 0.3673 0.000 0.384 0.616 0.000
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.3528 0.7817 0.192 0.000 0.808 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.3801 0.7110 0.780 0.000 0.220 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.3528 0.7401 0.000 0.808 0.192 0.000
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 3 0.1302 0.7699 0.000 0.044 0.956 0.000
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 3 0.0469 0.7748 0.000 0.012 0.988 0.000
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 2 0.4406 0.6077 0.000 0.700 0.300 0.000
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 3 0.3528 0.7817 0.192 0.000 0.808 0.000
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.2081 0.8045 0.916 0.000 0.084 0.000
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 96B96425-04BD-4676-85EC-CCBC598533AB 3 0.3610 0.6278 0.200 0.000 0.800 0.000
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 1 0.1211 0.8613 0.960 0.000 0.040 0.000
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#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.1716 0.8487 0.936 0.000 0.064 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.4406 0.6077 0.000 0.700 0.300 0.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 2 0.4331 0.5934 0.000 0.712 0.000 0.288
#> 9E9640CE-68E4-402B-87B4-805A425009B2 3 0.7121 0.4835 0.160 0.000 0.540 0.300
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 4 0.0524 0.9296 0.000 0.008 0.004 0.988
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 4 0.1661 0.8996 0.052 0.000 0.004 0.944
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.1452 0.7728 0.000 0.036 0.956 0.008
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.2814 0.7423 0.868 0.000 0.000 0.132
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 4 0.1661 0.9034 0.000 0.004 0.052 0.944
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.3311 0.7889 0.000 0.000 0.172 0.828
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.6345 0.6750 0.112 0.728 0.072 0.088
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0592 0.8622 0.984 0.000 0.016 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.4431 0.6091 0.696 0.000 0.304 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.3219 0.7934 0.000 0.000 0.164 0.836
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.1118 0.8624 0.964 0.000 0.036 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.4040 0.6221 0.000 0.248 0.752 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.4972 0.1638 0.000 0.544 0.000 0.456
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0188 0.8682 0.996 0.000 0.004 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.7563 -0.2289 0.440 0.000 0.364 0.196
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.5756 0.0371 0.568 0.000 0.400 0.032
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.3219 0.6818 0.164 0.000 0.836 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.3801 0.7110 0.780 0.000 0.220 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 4 0.0188 0.9328 0.000 0.000 0.004 0.996
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.4431 0.6018 0.000 0.696 0.304 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.1661 0.8996 0.052 0.000 0.004 0.944
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.1211 0.9109 0.040 0.000 0.000 0.960
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.0657 0.9281 0.004 0.000 0.012 0.984
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.4360 0.6425 0.248 0.000 0.008 0.744
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.4992 0.3339 0.476 0.000 0.524 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.7713 0.4630 0.580 0.196 0.188 0.036
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.3649 0.7746 0.204 0.000 0.796 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.3764 0.6560 0.000 0.216 0.784 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.4431 0.5674 0.000 0.696 0.000 0.304
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.0188 0.9328 0.000 0.000 0.004 0.996
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0336 0.8662 0.992 0.000 0.000 0.008
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.2216 0.8309 0.908 0.000 0.092 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.2216 0.8309 0.908 0.000 0.092 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.1211 0.9106 0.040 0.000 0.000 0.960
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.7412 -0.0210 0.444 0.000 0.168 0.388
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4898 0.4113 0.584 0.000 0.416 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.3726 0.7125 0.212 0.000 0.000 0.788
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.1867 0.8819 0.072 0.000 0.000 0.928
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.3528 0.7817 0.192 0.000 0.808 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.7683 0.0110 0.400 0.384 0.216 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.4194 0.6951 0.172 0.800 0.028 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.1302 0.8597 0.956 0.000 0.044 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.4054 0.7807 0.188 0.000 0.796 0.016
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.4543 0.6456 0.324 0.000 0.676 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1637 0.8511 0.940 0.000 0.060 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4877 0.3159 0.000 0.592 0.000 0.408
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.1635 0.8574 0.044 0.948 0.008 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.3726 0.7188 0.788 0.000 0.212 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.2706 0.8649 0.080 0.000 0.020 0.900
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.2976 0.8261 0.120 0.000 0.008 0.872
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.4158 0.6791 0.224 0.000 0.008 0.768
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4817 0.1465 0.612 0.000 0.388 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.1867 0.8437 0.928 0.000 0.072 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.3801 0.7110 0.780 0.000 0.220 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3726 0.7188 0.788 0.000 0.212 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.4406 0.5085 0.000 0.700 0.300 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.0000 0.7753 0.000 0.000 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2281 0.7887 0.904 0.000 0.096 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.0188 0.9328 0.000 0.000 0.004 0.996
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.1118 0.8624 0.964 0.000 0.036 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.8700 1.000 0.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.0188 0.7745 0.000 0.004 0.996 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0336 0.9308 0.008 0.000 0.000 0.992
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.1305 0.9113 0.000 0.036 0.004 0.960
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.8970 0.000 1.000 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2760 0.7520 0.872 0.000 0.128 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1211 0.8613 0.960 0.000 0.040 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.9343 0.000 0.000 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.4331 0.6942 0.288 0.000 0.712 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3837 0.5664 0.000 0.000 0.692 0.000 0.308
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4088 0.6116 0.632 0.000 0.000 0.000 0.368
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.7439 0.0835 0.100 0.000 0.184 0.524 0.192
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.8608 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3932 0.2548 0.672 0.000 0.000 0.328 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.4204 0.6036 0.048 0.000 0.000 0.756 0.196
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0880 0.7320 0.968 0.000 0.000 0.000 0.032
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1043 0.7320 0.960 0.000 0.000 0.000 0.040
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0451 0.8610 0.000 0.004 0.988 0.000 0.008
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1121 0.8551 0.000 0.000 0.956 0.000 0.044
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.8608 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.1851 0.8012 0.088 0.000 0.912 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3966 0.6343 0.664 0.000 0.000 0.000 0.336
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.8608 0.000 0.000 1.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.8608 0.000 0.000 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.4562 0.5402 0.548 0.004 0.004 0.000 0.444
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5927 -0.0412 0.540 0.000 0.120 0.000 0.340
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4307 -0.1356 0.504 0.000 0.000 0.000 0.496
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.4262 0.2931 0.000 0.000 0.000 0.560 0.440
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1168 0.7175 0.960 0.000 0.032 0.000 0.008
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0404 0.7257 0.988 0.000 0.012 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.0609 0.4424 0.020 0.000 0.000 0.000 0.980
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.6761 0.5488 0.224 0.000 0.036 0.180 0.560
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#> 819D3078-9956-4C41-93C5-973B88158FDF 5 0.7016 0.5077 0.020 0.032 0.132 0.256 0.560
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.2690 0.6817 0.000 0.000 0.000 0.844 0.156
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.4256 0.0747 0.000 0.436 0.000 0.000 0.564
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1043 0.7096 0.960 0.000 0.040 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 4 0.1478 0.7566 0.000 0.000 0.000 0.936 0.064
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.4415 0.5448 0.552 0.000 0.004 0.000 0.444
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.3707 0.6622 0.716 0.000 0.000 0.000 0.284
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.2280 0.7171 0.000 0.000 0.000 0.880 0.120
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.2690 0.7059 0.844 0.000 0.000 0.000 0.156
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.1270 0.8408 0.000 0.052 0.948 0.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.4307 -0.0640 0.000 0.500 0.000 0.500 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0404 0.7259 0.988 0.000 0.012 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 4 0.6300 0.1289 0.424 0.000 0.152 0.424 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.5568 0.1990 0.596 0.000 0.308 0.096 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.5322 0.5047 0.228 0.000 0.660 0.000 0.112
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.4268 0.5490 0.556 0.000 0.000 0.000 0.444
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0880 0.7900 0.032 0.000 0.000 0.968 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 5 0.5598 0.4188 0.020 0.000 0.040 0.384 0.556
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.4367 0.3644 0.000 0.580 0.004 0.000 0.416
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 5 0.6815 0.5559 0.172 0.000 0.040 0.232 0.556
#> ABAF7694-F260-4509-99DB-82449EC507CE 5 0.4210 0.3507 0.412 0.000 0.000 0.000 0.588
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3508 0.5730 0.252 0.000 0.000 0.748 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.6062 0.3860 0.048 0.000 0.116 0.660 0.176
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.5125 0.3017 0.416 0.000 0.040 0.544 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.3857 0.6484 0.688 0.000 0.000 0.000 0.312
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5826 0.1227 0.556 0.000 0.332 0.112 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.5905 0.2187 0.072 0.012 0.000 0.516 0.400
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.0510 0.8566 0.016 0.000 0.984 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0912 0.8577 0.000 0.016 0.972 0.000 0.012
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 5 0.6392 0.4475 0.000 0.268 0.012 0.164 0.556
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 5 0.6419 0.5011 0.088 0.000 0.040 0.316 0.556
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.2966 0.5180 0.816 0.000 0.000 0.184 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.4201 0.5798 0.592 0.000 0.000 0.000 0.408
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.4201 0.5798 0.592 0.000 0.000 0.000 0.408
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.3913 0.4861 0.324 0.000 0.000 0.676 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.5267 0.2746 0.428 0.000 0.048 0.524 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.4718 0.5335 0.540 0.000 0.016 0.000 0.444
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.4161 0.3875 0.392 0.000 0.000 0.608 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.3857 0.6485 0.688 0.000 0.000 0.000 0.312
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.4251 0.4092 0.372 0.000 0.000 0.624 0.004
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 5 0.4268 0.3317 0.000 0.000 0.000 0.444 0.556
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0880 0.7320 0.968 0.000 0.000 0.000 0.032
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.8608 0.000 0.000 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.6341 -0.3099 0.396 0.160 0.000 0.000 0.444
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.3391 0.6593 0.188 0.800 0.012 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3913 0.6416 0.676 0.000 0.000 0.000 0.324
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.1608 0.8087 0.000 0.000 0.928 0.072 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.4171 0.3525 0.396 0.000 0.604 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0290 0.7316 0.992 0.000 0.000 0.000 0.008
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3983 0.6326 0.660 0.000 0.000 0.000 0.340
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.3661 0.5079 0.000 0.276 0.000 0.724 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0955 0.8863 0.028 0.968 0.004 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4249 0.5594 0.568 0.000 0.000 0.000 0.432
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.5066 0.4034 0.344 0.000 0.048 0.608 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4498 0.5089 0.280 0.000 0.032 0.688 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0880 0.7320 0.968 0.000 0.000 0.000 0.032
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.5095 0.3270 0.400 0.000 0.040 0.560 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.3966 0.3222 0.664 0.000 0.336 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.4192 0.5831 0.596 0.000 0.000 0.000 0.404
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.4262 0.5526 0.560 0.000 0.000 0.000 0.440
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4256 0.5561 0.564 0.000 0.000 0.000 0.436
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.7308 1.000 0.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.4210 0.3048 0.000 0.412 0.588 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.3424 0.6977 0.000 0.000 0.760 0.000 0.240
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0880 0.7132 0.968 0.000 0.032 0.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 5 0.5826 0.4509 0.000 0.000 0.112 0.332 0.556
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3242 0.6904 0.784 0.000 0.000 0.000 0.216
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9147 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0880 0.7320 0.968 0.000 0.000 0.000 0.032
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.2773 0.7791 0.000 0.000 0.836 0.000 0.164
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2230 0.7221 0.116 0.000 0.000 0.884 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 5 0.6818 0.4838 0.004 0.132 0.040 0.268 0.556
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.3752 0.6588 0.708 0.000 0.000 0.000 0.292
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0290 0.9091 0.000 0.992 0.000 0.000 0.008
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2646 0.6241 0.868 0.000 0.124 0.004 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3999 0.6289 0.656 0.000 0.000 0.000 0.344
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.8121 0.000 0.000 0.000 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.2516 0.7418 0.140 0.000 0.860 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1610 0.72742 0.916 0.000 0.000 0.000 0.084 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.4795 0.67442 0.024 0.000 0.716 0.000 0.128 0.132
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.2631 0.69968 0.180 0.000 0.000 0.000 0.820 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.6839 0.15461 0.316 0.000 0.100 0.448 0.000 0.136
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0692 0.85707 0.020 0.000 0.976 0.000 0.000 0.004
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1531 0.70569 0.928 0.000 0.000 0.068 0.004 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.2856 0.80218 0.076 0.000 0.000 0.856 0.068 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 5 0.3868 0.07294 0.492 0.000 0.000 0.000 0.508 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 5 0.3857 0.16042 0.468 0.000 0.000 0.000 0.532 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1444 0.72868 0.928 0.000 0.000 0.000 0.072 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0603 0.86065 0.016 0.000 0.980 0.000 0.000 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1219 0.84915 0.000 0.000 0.948 0.000 0.048 0.004
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1531 0.85300 0.068 0.000 0.928 0.000 0.000 0.004
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.3672 0.44199 0.368 0.000 0.632 0.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.3531 0.58849 0.328 0.000 0.000 0.000 0.672 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1531 0.85300 0.068 0.000 0.928 0.000 0.000 0.004
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.1531 0.85300 0.068 0.000 0.928 0.000 0.000 0.004
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.1636 0.71905 0.036 0.000 0.024 0.000 0.936 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.6131 0.54626 0.604 0.000 0.096 0.000 0.152 0.148
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.5901 0.07293 0.272 0.000 0.000 0.000 0.256 0.472
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.3769 0.25710 0.004 0.000 0.000 0.356 0.640 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0458 0.89785 0.016 0.000 0.000 0.984 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4289 0.42230 0.612 0.000 0.028 0.000 0.360 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0713 0.71985 0.972 0.000 0.000 0.000 0.028 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.3398 0.44449 0.008 0.000 0.000 0.000 0.740 0.252
#> 54F31962-F589-4C36-B597-3965989EA02E 6 0.2002 0.82241 0.028 0.000 0.012 0.000 0.040 0.920
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.2883 0.67899 0.212 0.000 0.000 0.000 0.788 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.2340 0.68336 0.852 0.000 0.000 0.000 0.148 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.2762 0.61652 0.804 0.000 0.000 0.000 0.196 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.1554 0.87190 0.004 0.008 0.000 0.940 0.004 0.044
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4238 0.64738 0.752 0.000 0.012 0.156 0.080 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0291 0.85779 0.004 0.000 0.992 0.000 0.000 0.004
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#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 6 0.0146 0.86461 0.000 0.000 0.000 0.004 0.000 0.996
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.4244 0.40150 0.000 0.280 0.036 0.000 0.680 0.004
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 6 0.0146 0.86697 0.004 0.000 0.000 0.000 0.000 0.996
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#> DBB78140-A074-44D6-A3EA-C96157AC92AF 6 0.0146 0.86414 0.000 0.004 0.000 0.000 0.000 0.996
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 6 0.0146 0.86697 0.004 0.000 0.000 0.000 0.000 0.996
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.2255 0.71112 0.892 0.000 0.000 0.080 0.028 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.1007 0.72840 0.044 0.000 0.000 0.000 0.956 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.1007 0.72840 0.044 0.000 0.000 0.000 0.956 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.3563 0.43208 0.664 0.000 0.000 0.336 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4230 0.43688 0.612 0.000 0.024 0.364 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1765 0.71971 0.904 0.000 0.000 0.000 0.096 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.2320 0.70004 0.080 0.000 0.024 0.000 0.892 0.004
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.90441 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.3667 0.57574 0.740 0.000 0.000 0.240 0.012 0.008
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.3052 0.67509 0.216 0.000 0.000 0.000 0.780 0.004
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0665 0.90021 0.004 0.000 0.000 0.980 0.008 0.008
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.3584 0.50082 0.688 0.000 0.000 0.308 0.000 0.004
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 6 0.0767 0.85609 0.004 0.000 0.000 0.012 0.008 0.976
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 5 0.3851 0.09844 0.460 0.000 0.000 0.000 0.540 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0692 0.85707 0.020 0.000 0.976 0.000 0.000 0.004
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.1675 0.71477 0.032 0.008 0.024 0.000 0.936 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.3942 0.75017 0.104 0.792 0.020 0.000 0.084 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.2854 0.68169 0.208 0.000 0.000 0.000 0.792 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3417 0.75178 0.052 0.000 0.812 0.132 0.000 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4305 0.27770 0.544 0.000 0.436 0.000 0.020 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3706 0.40273 0.620 0.000 0.000 0.000 0.380 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.90441 0.000 0.000 0.000 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.2823 0.68616 0.204 0.000 0.000 0.000 0.796 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.2178 0.78087 0.000 0.132 0.000 0.868 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.1829 0.87405 0.004 0.920 0.012 0.000 0.064 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.1007 0.72675 0.044 0.000 0.000 0.000 0.956 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4508 0.25360 0.536 0.000 0.024 0.436 0.000 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4199 0.42095 0.336 0.000 0.020 0.640 0.004 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 5 0.3868 0.08145 0.492 0.000 0.000 0.000 0.508 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4310 0.36683 0.580 0.000 0.024 0.396 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4466 0.63969 0.708 0.000 0.116 0.000 0.176 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.1663 0.72709 0.088 0.000 0.000 0.000 0.912 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.90441 0.000 0.000 0.000 1.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.0713 0.72579 0.028 0.000 0.000 0.000 0.972 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.1007 0.72675 0.044 0.000 0.000 0.000 0.956 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1075 0.72778 0.952 0.000 0.000 0.000 0.048 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3109 0.66619 0.000 0.224 0.772 0.000 0.000 0.004
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.3489 0.66023 0.000 0.000 0.708 0.000 0.288 0.004
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0547 0.71960 0.980 0.000 0.000 0.000 0.020 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0146 0.93800 0.004 0.996 0.000 0.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 6 0.0146 0.86697 0.004 0.000 0.000 0.000 0.000 0.996
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.3620 0.49724 0.352 0.000 0.000 0.000 0.648 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.90441 0.000 0.000 0.000 1.000 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 5 0.3868 0.07294 0.492 0.000 0.000 0.000 0.508 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.2994 0.74774 0.000 0.000 0.788 0.000 0.208 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0713 0.88874 0.028 0.000 0.000 0.972 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0291 0.90303 0.004 0.000 0.000 0.992 0.004 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 6 0.0146 0.86697 0.004 0.000 0.000 0.000 0.000 0.996
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0551 0.90120 0.004 0.000 0.000 0.984 0.008 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.3101 0.64013 0.244 0.000 0.000 0.000 0.756 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.94044 0.000 1.000 0.000 0.000 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3210 0.68768 0.804 0.000 0.028 0.000 0.168 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.2219 0.71120 0.136 0.000 0.000 0.000 0.864 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.90441 0.000 0.000 0.000 1.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.3371 0.56295 0.292 0.000 0.708 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.922 0.935 0.970 0.2716 0.706 0.706
#> 3 3 0.342 0.529 0.766 0.9053 0.765 0.681
#> 4 4 0.358 0.235 0.681 0.1010 0.640 0.471
#> 5 5 0.417 0.528 0.714 0.1973 0.616 0.330
#> 6 6 0.465 0.606 0.733 0.0736 0.892 0.668
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9896 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9896 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9896 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9896 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.9896 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9896 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9896 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9896 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9896 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9896 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.9896 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0000 0.9896 1.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0000 0.9896 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.8641 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9896 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9896 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.9896 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9896 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.9608 0.5692 0.384 0.616
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.9896 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9896 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9896 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.9896 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9896 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9896 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.2603 0.8542 0.044 0.956
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9896 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9896 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9896 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9896 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9896 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9896 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.9896 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9896 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.9460 0.6004 0.364 0.636
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.8641 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0000 0.9896 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9896 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3879 0.8432 0.076 0.924
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9896 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8641 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9896 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.9608 0.5692 0.384 0.616
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8641 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9896 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9896 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9896 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9896 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9896 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9896 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9896 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8641 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9896 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9896 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9896 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.0000 0.9896 1.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.7602 0.7586 0.220 0.780
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9896 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.9661 0.5529 0.392 0.608
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.9896 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9896 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8641 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9896 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.9896 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.0000 0.9896 1.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9896 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.0938 0.9763 0.988 0.012
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.9896 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8641 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9896 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.2423 0.9436 0.960 0.040
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.7056 0.7797 0.192 0.808
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.8641 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.9896 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9896 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.0000 0.9896 1.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.9608 0.5692 0.384 0.616
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.9896 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9896 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8641 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.9896 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.9896 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9896 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9896 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9896 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.0000 0.9896 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9896 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.9896 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.0000 0.9896 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.9896 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.9896 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9896 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9896 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9896 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9896 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9896 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9896 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9896 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.8641 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.8641 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.8641 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.9608 0.5692 0.384 0.616
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9896 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.9896 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9896 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0000 0.9896 1.000 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0000 0.9896 1.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.9580 0.5759 0.380 0.620
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#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9896 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.9896 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.8641 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0000 0.9896 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9896 1.000 0.000
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#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.0000 0.9896 1.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9896 1.000 0.000
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#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.9896 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.8641 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.9896 1.000 0.000
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#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.9970 0.3567 0.468 0.532
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#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.0000 0.9896 1.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.7674 0.7553 0.224 0.776
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9896 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9896 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9896 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9896 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.9896 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.9522 0.5888 0.372 0.628
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9896 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.9608 0.5692 0.384 0.616
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9896 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9896 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9896 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9896 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0000 0.9896 1.000 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9896 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9896 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.6801 0.7883 0.180 0.820
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9896 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.8641 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9896 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9896 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9896 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9896 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8641 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9896 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9896 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.9896 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9896 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.0000 0.9896 1.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.9209 0.6387 0.336 0.664
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9896 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9896 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9896 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9896 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9896 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9896 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9896 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9896 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9896 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9896 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9896 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9896 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9896 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9896 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.4431 0.8356 0.092 0.908
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9896 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9896 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.9896 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.0000 0.9896 1.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9896 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9896 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9896 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9896 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.9996 -0.2241 0.512 0.488
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9896 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9896 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.8641 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.9933 -0.0854 0.548 0.452
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9896 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9896 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9896 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9896 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9896 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9896 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9896 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9896 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.9896 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.9896 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9896 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.2778 0.8525 0.048 0.952
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9896 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9896 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.8955 0.6679 0.312 0.688
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9896 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9896 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0938 0.8621 0.012 0.988
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0672 0.8628 0.008 0.992
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8641 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9896 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9896 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9896 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9896 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.0000 0.9896 1.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.9896 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9896 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.9896 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9896 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9896 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9896 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9896 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.6045 0.4326 0.620 0.000 0.380
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1753 0.6588 0.952 0.000 0.048
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.6095 0.4127 0.608 0.000 0.392
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.6574 1.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.3116 0.6495 0.892 0.000 0.108
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.6574 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6225 -0.2026 0.568 0.000 0.432
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.6305 0.2677 0.516 0.000 0.484
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.6305 0.2677 0.516 0.000 0.484
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.2448 0.6545 0.924 0.000 0.076
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.2165 0.6560 0.936 0.000 0.064
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.6095 -0.0189 0.608 0.000 0.392
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0000 0.6574 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.8962 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.6574 1.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.6008 0.2774 0.372 0.000 0.628
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.6574 1.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0424 0.6589 0.992 0.000 0.008
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.9236 -0.0187 0.532 0.248 0.220
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.3941 0.7661 0.156 0.000 0.844
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5497 0.5323 0.708 0.000 0.292
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.6302 0.2747 0.520 0.000 0.480
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.6307 0.2570 0.512 0.000 0.488
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.6574 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4974 0.5838 0.764 0.000 0.236
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.1919 0.8548 0.024 0.956 0.020
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4002 0.6288 0.840 0.000 0.160
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.6302 0.2750 0.520 0.000 0.480
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.2537 0.6549 0.920 0.000 0.080
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6305 0.2677 0.516 0.000 0.484
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.6305 0.2677 0.516 0.000 0.484
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.6079 0.3493 0.612 0.000 0.388
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.4504 0.3782 0.804 0.000 0.196
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1860 0.6579 0.948 0.000 0.052
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.9898 -0.4159 0.368 0.264 0.368
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.8962 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.2261 0.6551 0.932 0.000 0.068
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.1964 0.6556 0.944 0.000 0.056
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3155 0.8115 0.044 0.916 0.040
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.6574 1.000 0.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8962 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.6574 1.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.9170 0.5193 0.212 0.248 0.540
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8962 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.2261 0.6551 0.932 0.000 0.068
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.3116 0.6397 0.892 0.000 0.108
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1411 0.6597 0.964 0.000 0.036
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5178 0.5361 0.744 0.000 0.256
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.6309 0.2351 0.504 0.000 0.496
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.6302 -0.1046 0.520 0.000 0.480
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.6574 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8962 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.6305 0.2677 0.516 0.000 0.484
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.5948 -0.0545 0.640 0.000 0.360
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4504 0.5863 0.804 0.000 0.196
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.3752 0.6360 0.856 0.000 0.144
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 3 0.8975 0.2561 0.132 0.384 0.484
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.5431 0.4978 0.716 0.000 0.284
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.7223 0.6999 0.144 0.140 0.716
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.3941 0.7661 0.156 0.000 0.844
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1753 0.6588 0.952 0.000 0.048
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8962 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.6168 0.3845 0.588 0.000 0.412
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.3941 0.7661 0.156 0.000 0.844
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.5621 0.4653 0.692 0.000 0.308
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4178 0.5105 0.828 0.000 0.172
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5443 0.5593 0.736 0.004 0.260
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.3941 0.7661 0.156 0.000 0.844
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8962 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.6574 1.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.6421 -0.1170 0.572 0.004 0.424
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.8965 0.3048 0.196 0.564 0.240
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.8962 0.000 1.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6308 0.2469 0.508 0.000 0.492
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.6126 0.1683 0.400 0.000 0.600
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.6244 0.0635 0.440 0.000 0.560
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.9409 0.4916 0.236 0.256 0.508
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.4002 0.4921 0.840 0.000 0.160
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4887 0.5592 0.772 0.000 0.228
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8962 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.6574 1.000 0.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.6299 0.2805 0.524 0.000 0.476
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.2796 0.6493 0.908 0.000 0.092
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.6305 0.2677 0.516 0.000 0.484
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.6305 0.2677 0.516 0.000 0.484
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.2261 0.6551 0.932 0.000 0.068
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.6309 0.2351 0.504 0.000 0.496
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.3941 0.7661 0.156 0.000 0.844
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#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.2448 0.8378 0.076 0.924 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.2537 0.8081 0.080 0.920 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8962 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6280 0.3074 0.540 0.000 0.460
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.6244 -0.1421 0.560 0.000 0.440
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.6574 1.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0237 0.6577 0.996 0.000 0.004
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.4291 0.5108 0.820 0.000 0.180
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.5706 0.4620 0.680 0.000 0.320
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6267 0.3188 0.548 0.000 0.452
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.3941 0.7661 0.156 0.000 0.844
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2261 0.6551 0.932 0.000 0.068
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 3 0.5363 0.5662 0.276 0.000 0.724
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.5948 -0.0545 0.640 0.000 0.360
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.6574 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2408 0.41031 0.896 0.000 0.104 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4933 -0.11533 0.568 0.000 0.432 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.2408 0.41687 0.896 0.000 0.104 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.4955 0.42422 0.444 0.000 0.556 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.4999 0.36748 0.492 0.000 0.508 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.7661 0.08877 0.212 0.000 0.412 0.376
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.4877 -0.07330 0.592 0.000 0.408 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.4977 -0.22207 0.540 0.000 0.460 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6839 0.20431 0.120 0.000 0.552 0.328
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.4817 0.52861 0.388 0.000 0.612 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.4817 0.52861 0.388 0.000 0.612 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3172 0.35099 0.840 0.000 0.000 0.160
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.9465 -0.15154 0.420 0.224 0.196 0.160
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5085 -0.00231 0.616 0.000 0.008 0.376
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3688 0.32592 0.792 0.000 0.208 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0188 0.45027 0.996 0.000 0.004 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0376 0.44884 0.992 0.000 0.004 0.004
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 3 0.4998 0.28172 0.488 0.000 0.512 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4040 0.26582 0.752 0.000 0.248 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.1118 0.83359 0.036 0.964 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4522 0.13888 0.680 0.000 0.320 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0188 0.45038 0.996 0.000 0.004 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.4866 -0.05652 0.596 0.000 0.404 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.2345 0.40930 0.900 0.000 0.100 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.7456 0.34785 0.316 0.000 0.488 0.196
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4907 -0.07513 0.580 0.000 0.420 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 4 0.9443 0.29412 0.112 0.236 0.276 0.376
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.4961 0.46174 0.448 0.000 0.552 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.4907 -0.09756 0.580 0.000 0.420 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.2124 0.78248 0.068 0.924 0.000 0.008
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4992 -0.19608 0.524 0.000 0.476 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.4830 0.52145 0.392 0.000 0.608 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 4 0.9074 0.35299 0.328 0.224 0.072 0.376
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.4790 0.04250 0.620 0.000 0.380 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.4955 -0.13817 0.556 0.000 0.444 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.3873 0.30283 0.772 0.000 0.228 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0469 0.44613 0.988 0.000 0.000 0.012
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3969 0.31929 0.016 0.000 0.180 0.804
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.6326 0.17165 0.068 0.000 0.556 0.376
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4356 0.22247 0.708 0.000 0.292 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4973 0.05855 0.644 0.000 0.348 0.008
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 4 0.7842 0.19604 0.264 0.360 0.000 0.376
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.3688 0.33937 0.792 0.000 0.208 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.7276 -0.17173 0.496 0.120 0.008 0.376
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.4948 -0.13107 0.560 0.000 0.440 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2011 0.42962 0.920 0.000 0.080 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.6883 0.20395 0.260 0.000 0.156 0.584
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5640 0.23394 0.688 0.004 0.256 0.052
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.6545 0.08333 0.072 0.004 0.552 0.372
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.8314 0.14620 0.164 0.536 0.068 0.232
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.2469 0.78844 0.000 0.892 0.108 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0672 0.44596 0.984 0.000 0.008 0.008
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.2814 0.37052 0.868 0.000 0.000 0.132
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.4017 0.37694 0.828 0.000 0.044 0.128
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 4 0.9358 0.35431 0.288 0.236 0.100 0.376
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.6951 0.45439 0.304 0.000 0.556 0.140
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4134 0.27274 0.740 0.000 0.260 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.4977 0.39483 0.460 0.000 0.540 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0336 0.44993 0.992 0.000 0.008 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.4855 -0.06991 0.600 0.000 0.400 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.4961 0.46174 0.448 0.000 0.552 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0469 0.44613 0.988 0.000 0.000 0.012
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.4817 0.52861 0.388 0.000 0.612 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.4830 0.52649 0.392 0.000 0.608 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2011 0.42024 0.920 0.000 0.080 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1211 0.44387 0.960 0.000 0.040 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.1389 0.42655 0.952 0.000 0.000 0.048
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.5414 0.01158 0.604 0.000 0.020 0.376
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.4996 -0.20684 0.516 0.000 0.484 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 4 0.9270 0.33995 0.308 0.224 0.092 0.376
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4072 0.26212 0.748 0.000 0.252 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.5212 -0.09847 0.572 0.000 0.420 0.008
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.7307 -0.05970 0.468 0.000 0.156 0.376
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.2586 0.42831 0.912 0.000 0.040 0.048
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 4 0.9425 0.35246 0.288 0.224 0.112 0.376
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.1716 0.43699 0.936 0.000 0.064 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.4996 0.31734 0.484 0.000 0.516 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.5085 0.53011 0.376 0.000 0.616 0.008
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.2216 0.41296 0.908 0.000 0.092 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.7554 -0.12448 0.432 0.000 0.192 0.376
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.4877 -0.06489 0.592 0.000 0.408 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 3 0.4776 0.52432 0.376 0.000 0.624 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.3587 0.39663 0.860 0.000 0.088 0.052
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.4585 0.11567 0.668 0.000 0.332 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.0336 0.45012 0.992 0.000 0.008 0.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.4830 -0.02933 0.608 0.000 0.392 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.3356 0.36051 0.824 0.000 0.176 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.5058 0.58681 0.104 0.768 0.000 0.128
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 4 0.9658 0.23529 0.232 0.160 0.232 0.376
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.4972 -0.21367 0.544 0.000 0.456 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.2411 0.43662 0.920 0.000 0.040 0.040
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.0188 0.44952 0.996 0.000 0.004 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 1 0.1302 0.44323 0.956 0.000 0.044 0.000
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.4888 -0.07966 0.588 0.000 0.412 0.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 3 0.7102 -0.13082 0.008 0.104 0.512 0.376
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.4961 0.46174 0.448 0.000 0.552 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0336 0.86898 0.000 0.992 0.000 0.008
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.1792 0.43238 0.932 0.000 0.068 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 3 0.7368 0.03613 0.164 0.000 0.460 0.376
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#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.4992 -0.19608 0.524 0.000 0.476 0.000
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 1 0.3610 0.34026 0.800 0.000 0.200 0.000
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.5769 0.00672 0.588 0.000 0.036 0.376
#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.7926 0.17234 0.208 0.008 0.408 0.376
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.7761 -0.30983 0.000 0.236 0.388 0.376
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.6607 0.17908 0.088 0.536 0.000 0.376
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.3444 0.55590 0.184 0.816 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 4 0.9677 0.33772 0.232 0.224 0.168 0.376
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.4977 -0.19095 0.540 0.000 0.460 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0592 0.44917 0.984 0.000 0.016 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.1807 0.43957 0.940 0.000 0.052 0.008
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.1940 0.42897 0.924 0.000 0.076 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.1211 0.44428 0.960 0.000 0.040 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.0707 0.44241 0.980 0.000 0.000 0.020
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.4748 0.23270 0.716 0.000 0.268 0.016
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.7426 -0.10224 0.452 0.000 0.172 0.376
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0188 0.45032 0.996 0.000 0.004 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.5085 -0.00231 0.616 0.000 0.008 0.376
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.4454 0.16481 0.692 0.000 0.308 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.3081 0.40056 0.888 0.000 0.064 0.048
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.6607 -0.04545 0.536 0.000 0.088 0.376
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.4776 0.52432 0.376 0.000 0.624 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.9630 0.28918 0.152 0.224 0.248 0.376
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.5295 -0.21948 0.504 0.000 0.488 0.008
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.4072 0.25434 0.748 0.000 0.252 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.4431 0.20432 0.696 0.000 0.304 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0188 0.44914 0.996 0.000 0.000 0.004
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.1211 0.44334 0.960 0.000 0.040 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.7866 -0.29546 0.384 0.280 0.336 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.7890 0.12161 0.328 0.000 0.296 0.376
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.4535 0.20518 0.704 0.000 0.292 0.004
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.5599 0.31951 0.276 0.672 0.000 0.052
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.4888 -0.07451 0.588 0.000 0.412 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.4977 -0.16761 0.540 0.000 0.460 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.4955 -0.13732 0.556 0.000 0.444 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.4977 -0.16741 0.540 0.000 0.460 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 1 0.7731 -0.30559 0.396 0.228 0.000 0.376
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 3 0.4994 0.30777 0.480 0.000 0.520 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 4 0.9712 0.29681 0.192 0.224 0.208 0.376
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.5289 0.06150 0.636 0.000 0.020 0.344
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.2053 0.43236 0.924 0.000 0.072 0.004
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.4855 -0.04056 0.600 0.000 0.400 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.8193 -0.07927 0.152 0.436 0.036 0.376
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.4989 -0.19232 0.528 0.000 0.472 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0469 0.86471 0.000 0.988 0.000 0.012
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.4989 -0.17858 0.528 0.000 0.472 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.4866 0.50464 0.404 0.000 0.596 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.5085 -0.00231 0.616 0.000 0.008 0.376
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4967 -0.15352 0.548 0.000 0.452 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.4907 -0.09103 0.580 0.000 0.420 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.3649 0.30085 0.796 0.000 0.000 0.204
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.5204 0.01135 0.612 0.000 0.012 0.376
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.5414 0.00868 0.604 0.000 0.020 0.376
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.3837 0.30979 0.776 0.000 0.224 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4994 -0.19878 0.520 0.000 0.480 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4977 -0.16719 0.540 0.000 0.460 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.1302 0.44275 0.956 0.000 0.044 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.7599 0.00996 0.200 0.424 0.000 0.376
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3528 0.33983 0.808 0.000 0.192 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.4961 0.46174 0.448 0.000 0.552 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.5971 -0.02218 0.584 0.000 0.048 0.368
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.6172 0.14696 0.632 0.000 0.084 0.284
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0188 0.44914 0.996 0.000 0.000 0.004
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.4804 0.52865 0.384 0.000 0.616 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.4830 0.52625 0.392 0.000 0.608 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.4134 0.24998 0.740 0.000 0.260 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.6228 -0.06137 0.572 0.044 0.008 0.376
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.4996 -0.20912 0.516 0.000 0.484 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2011 0.42427 0.920 0.000 0.080 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.1792 0.80761 0.000 0.932 0.068 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.5630 -0.00396 0.600 0.012 0.012 0.376
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.4193 0.23253 0.732 0.000 0.268 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4994 -0.20188 0.520 0.000 0.480 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0188 0.45017 0.996 0.000 0.004 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.45030 1.000 0.000 0.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.7712 -0.25373 0.372 0.404 0.224 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.7577 0.19076 0.196 0.000 0.428 0.376
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4585 0.11423 0.668 0.000 0.332 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 4 0.9692 0.31806 0.200 0.240 0.184 0.376
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3837 0.30707 0.776 0.000 0.224 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.2053 0.80131 0.004 0.924 0.072 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.2081 0.75345 0.084 0.916 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.87336 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0921 0.44666 0.972 0.000 0.028 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.7679 0.18177 0.216 0.000 0.408 0.376
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4998 -0.21194 0.512 0.000 0.488 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4996 -0.20769 0.516 0.000 0.484 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.4776 0.24977 0.000 0.000 0.376 0.624
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3172 0.38009 0.840 0.000 0.160 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1211 0.44334 0.960 0.000 0.040 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.4776 0.00870 0.624 0.000 0.000 0.376
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4898 -0.08419 0.584 0.000 0.416 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4283 0.21503 0.740 0.000 0.004 0.256
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.7136 0.22444 0.136 0.000 0.488 0.376
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.4817 0.52861 0.388 0.000 0.612 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 5 0.6697 -0.2929 0.244 0.000 0.000 0.352 0.404
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.3430 0.6574 0.004 0.000 0.000 0.776 0.220
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.6387 0.0125 0.168 0.000 0.000 0.440 0.392
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.1364 0.6829 0.012 0.000 0.000 0.952 0.036
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 4 0.3745 0.6383 0.196 0.000 0.000 0.780 0.024
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.2149 0.6861 0.036 0.000 0.000 0.916 0.048
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.6056 0.3060 0.132 0.000 0.000 0.348 0.520
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5201 0.8440 0.532 0.000 0.000 0.044 0.424
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.5844 0.7940 0.484 0.000 0.000 0.096 0.420
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.4793 0.6292 0.056 0.000 0.000 0.684 0.260
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.3530 0.6574 0.012 0.000 0.000 0.784 0.204
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.6513 -0.0916 0.192 0.000 0.000 0.424 0.384
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 4 0.3353 0.6312 0.196 0.000 0.000 0.796 0.008
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0963 0.8873 0.000 0.964 0.000 0.000 0.036
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.3074 0.6358 0.196 0.000 0.000 0.804 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.5077 0.8375 0.536 0.000 0.000 0.036 0.428
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 4 0.3596 0.6294 0.212 0.000 0.000 0.776 0.012
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#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.1341 0.3889 0.056 0.000 0.000 0.000 0.944
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.5201 0.8440 0.532 0.000 0.000 0.044 0.424
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 5 0.6537 -0.6635 0.400 0.000 0.000 0.196 0.404
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.8937 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 5 0.6542 -0.2826 0.200 0.000 0.000 0.372 0.428
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.6519 -0.0209 0.192 0.000 0.000 0.408 0.400
#> 9E9640CE-68E4-402B-87B4-805A425009B2 4 0.3612 0.6340 0.172 0.000 0.000 0.800 0.028
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.6517 0.6341 0.416 0.000 0.000 0.192 0.392
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 4 0.2358 0.6602 0.104 0.000 0.000 0.888 0.008
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.4861 0.8091 0.548 0.000 0.000 0.024 0.428
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 4 0.5377 0.5468 0.140 0.000 0.004 0.680 0.176
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 5 0.6193 0.1561 0.260 0.000 0.000 0.192 0.548
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.5195 0.8435 0.536 0.000 0.000 0.044 0.420
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.2409 0.4754 0.068 0.000 0.000 0.032 0.900
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.4540 0.5804 0.024 0.000 0.000 0.656 0.320
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.6114 0.5155 0.564 0.000 0.000 0.192 0.244
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.6453 -0.3280 0.388 0.000 0.000 0.180 0.432
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.3534 0.5868 0.256 0.000 0.000 0.744 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 5 0.6271 0.1281 0.272 0.000 0.000 0.196 0.532
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.5304 0.4592 0.272 0.000 0.000 0.640 0.088
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.5874 0.3955 0.108 0.000 0.000 0.528 0.364
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.5195 0.8435 0.536 0.000 0.000 0.044 0.420
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.8937 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 4 0.3635 0.6374 0.004 0.000 0.000 0.748 0.248
#> D336B440-AEFF-428A-B92D-A4315400B199 4 0.4212 0.6424 0.080 0.000 0.000 0.776 0.144
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.2674 0.2340 0.140 0.000 0.000 0.004 0.856
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.4084 0.5238 0.328 0.000 0.000 0.668 0.004
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.5201 0.8440 0.532 0.000 0.000 0.044 0.424
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.6253 0.7342 0.464 0.000 0.000 0.148 0.388
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.1768 0.6882 0.004 0.000 0.000 0.924 0.072
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.5195 0.8435 0.536 0.000 0.000 0.044 0.420
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 4 0.4377 0.6130 0.192 0.044 0.000 0.756 0.008
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 5 0.6506 0.1771 0.324 0.000 0.000 0.208 0.468
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 4 0.6043 0.4071 0.176 0.000 0.000 0.572 0.252
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.4287 0.1891 0.000 0.540 0.000 0.000 0.460
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.3141 0.6503 0.108 0.000 0.000 0.852 0.040
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.3961 0.6344 0.016 0.000 0.000 0.736 0.248
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 4 0.2719 0.6877 0.004 0.000 0.000 0.852 0.144
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.3048 0.6787 0.004 0.000 0.000 0.820 0.176
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 4 0.2763 0.6866 0.004 0.000 0.000 0.848 0.148
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.1121 0.4676 0.000 0.044 0.000 0.000 0.956
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.3636 0.5498 0.272 0.000 0.000 0.728 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.4000 0.5184 0.004 0.044 0.000 0.164 0.788
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.4905 -0.7357 0.476 0.000 0.000 0.024 0.500
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.6816 -0.1395 0.324 0.000 0.000 0.360 0.316
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.3700 0.6506 0.008 0.000 0.000 0.752 0.240
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 4 0.0963 0.6702 0.036 0.000 0.000 0.964 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.0963 0.4106 0.036 0.000 0.000 0.000 0.964
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.6030 0.7563 0.464 0.000 0.000 0.116 0.420
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.4762 0.3229 0.000 0.236 0.000 0.064 0.700
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.2136 0.6884 0.008 0.000 0.000 0.904 0.088
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.2127 0.8305 0.000 0.892 0.000 0.000 0.108
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.3636 0.5498 0.272 0.000 0.000 0.728 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.3430 0.5930 0.220 0.000 0.000 0.776 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.1082 0.6804 0.008 0.000 0.000 0.964 0.028
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.2136 0.6886 0.008 0.000 0.000 0.904 0.088
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8937 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.5201 0.8440 0.532 0.000 0.000 0.044 0.424
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 4 0.3635 0.6374 0.004 0.000 0.000 0.748 0.248
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.5028 0.5467 0.564 0.000 0.000 0.036 0.400
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 4 0.3003 0.6760 0.000 0.000 0.000 0.812 0.188
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 4 0.3480 0.6414 0.000 0.000 0.000 0.752 0.248
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.3999 0.6406 0.020 0.000 0.000 0.740 0.240
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.5752 -0.7255 0.412 0.000 0.000 0.088 0.500
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.4565 -0.5821 0.408 0.000 0.000 0.012 0.580
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.3309 0.6484 0.128 0.000 0.000 0.836 0.036
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.2260 0.6883 0.028 0.000 0.000 0.908 0.064
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.5195 0.8435 0.536 0.000 0.000 0.044 0.420
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.3912 -0.0375 0.228 0.000 0.000 0.020 0.752
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.3636 0.5498 0.272 0.000 0.000 0.728 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.6138 0.5238 0.176 0.000 0.000 0.552 0.272
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.5261 0.8439 0.528 0.000 0.000 0.048 0.424
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.1800 0.6844 0.020 0.000 0.000 0.932 0.048
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.3075 0.6654 0.092 0.000 0.000 0.860 0.048
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.6229 0.6899 0.464 0.000 0.000 0.144 0.392
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.6618 0.0949 0.304 0.244 0.000 0.000 0.452
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.5559 0.3895 0.076 0.000 0.000 0.544 0.380
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 4 0.3074 0.6358 0.196 0.000 0.000 0.804 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2708 0.4085 0.072 0.000 0.000 0.044 0.884
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.6411 -0.3544 0.392 0.000 0.000 0.172 0.436
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.5201 0.8440 0.532 0.000 0.000 0.044 0.424
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 4 0.1041 0.6720 0.032 0.000 0.000 0.964 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.3196 0.6380 0.192 0.000 0.000 0.804 0.004
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.4921 0.5245 0.040 0.000 0.000 0.620 0.340
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.2409 0.4751 0.068 0.000 0.000 0.032 0.900
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.3636 0.5498 0.272 0.000 0.000 0.728 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.6694 -0.3453 0.252 0.000 0.000 0.328 0.420
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.7535 0.2552 0.272 0.464 0.000 0.196 0.068
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0510 0.4524 0.000 0.000 0.000 0.016 0.984
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4448 0.7737 0.516 0.000 0.000 0.004 0.480
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.2011 0.6881 0.004 0.000 0.000 0.908 0.088
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.2011 0.6881 0.004 0.000 0.000 0.908 0.088
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.5104 0.5415 0.060 0.000 0.000 0.632 0.308
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.2011 0.6881 0.004 0.000 0.000 0.908 0.088
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.3635 0.6374 0.004 0.000 0.000 0.748 0.248
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.5431 0.8394 0.516 0.000 0.000 0.060 0.424
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.3636 0.5498 0.272 0.000 0.000 0.728 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.6373 -0.7105 0.412 0.000 0.000 0.164 0.424
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.5431 0.8394 0.516 0.000 0.000 0.060 0.424
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.4141 0.6325 0.024 0.000 0.000 0.728 0.248
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 4 0.6148 0.5189 0.192 0.132 0.000 0.640 0.036
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3790 0.4497 0.004 0.000 0.000 0.272 0.724
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.4562 0.5985 0.032 0.000 0.000 0.676 0.292
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.4139 0.5135 0.000 0.084 0.000 0.132 0.784
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 4 0.6108 0.3409 0.188 0.000 0.000 0.564 0.248
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.7754 0.2401 0.272 0.444 0.000 0.196 0.088
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.4220 0.7366 0.032 0.808 0.000 0.056 0.104
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8937 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6213 0.7344 0.452 0.000 0.000 0.140 0.408
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3561 0.4577 0.000 0.000 0.000 0.260 0.740
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.3409 0.6368 0.160 0.000 0.000 0.816 0.024
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.4465 0.5894 0.212 0.000 0.000 0.732 0.056
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.9014 0.000 0.000 1.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.6087 0.3687 0.160 0.000 0.000 0.552 0.288
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6453 0.6934 0.432 0.000 0.000 0.180 0.388
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.1792 0.3490 0.084 0.000 0.000 0.000 0.916
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.3635 0.6374 0.004 0.000 0.000 0.748 0.248
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4906 0.7835 0.496 0.000 0.000 0.024 0.480
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.6296 0.1283 0.272 0.000 0.000 0.200 0.528
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.3074 0.6358 0.196 0.000 0.000 0.804 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3695 -0.09033 0.624 0.000 0.000 0.000 0.000 0.376
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2016 0.63962 0.920 0.000 0.000 0.016 0.024 0.040
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.3482 0.09406 0.684 0.000 0.000 0.000 0.000 0.316
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3396 0.61372 0.828 0.000 0.000 0.112 0.040 0.020
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.5637 0.46757 0.632 0.000 0.000 0.044 0.196 0.128
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4025 0.53477 0.732 0.000 0.000 0.228 0.016 0.024
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.6035 0.14834 0.080 0.000 0.000 0.376 0.488 0.056
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 6 0.3351 0.84097 0.288 0.000 0.000 0.000 0.000 0.712
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 6 0.3883 0.80911 0.332 0.000 0.000 0.000 0.012 0.656
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.3121 0.61445 0.836 0.000 0.000 0.116 0.004 0.044
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3088 0.61659 0.808 0.000 0.000 0.000 0.172 0.020
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.5916 0.16868 0.272 0.000 0.000 0.036 0.564 0.128
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.5534 0.45223 0.612 0.000 0.000 0.044 0.080 0.264
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1225 0.91447 0.000 0.952 0.000 0.012 0.036 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3518 0.53125 0.732 0.000 0.000 0.000 0.012 0.256
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.3586 0.83787 0.268 0.000 0.000 0.000 0.012 0.720
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5107 0.47872 0.628 0.000 0.000 0.024 0.064 0.284
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.5349 0.45406 0.612 0.000 0.000 0.048 0.052 0.288
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.6464 0.10427 0.500 0.008 0.000 0.128 0.316 0.048
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.6549 0.61570 0.156 0.000 0.000 0.116 0.552 0.176
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3345 0.48270 0.788 0.000 0.000 0.000 0.028 0.184
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.3578 0.82403 0.340 0.000 0.000 0.000 0.000 0.660
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#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 1 0.6203 0.41583 0.492 0.000 0.000 0.132 0.040 0.336
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 6 0.5557 0.65398 0.248 0.000 0.000 0.000 0.200 0.552
#> E0053297-AB5D-4580-9328-7C3743E9CB14 5 0.3582 0.73824 0.196 0.000 0.000 0.000 0.768 0.036
#> 64DE217D-A810-481E-A654-7D1B36D2858E 1 0.5534 0.45223 0.612 0.000 0.000 0.044 0.080 0.264
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 5 0.4237 0.74308 0.144 0.000 0.000 0.000 0.736 0.120
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 5 0.4761 0.32677 0.004 0.008 0.000 0.060 0.664 0.264
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.1225 0.91447 0.000 0.952 0.000 0.012 0.036 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.1225 0.91447 0.000 0.952 0.000 0.012 0.036 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 5 0.4595 0.62795 0.084 0.152 0.000 0.012 0.740 0.012
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.5004 0.52819 0.148 0.724 0.000 0.012 0.072 0.044
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 5 0.6157 0.65718 0.152 0.008 0.000 0.168 0.608 0.064
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 6 0.3288 0.84242 0.276 0.000 0.000 0.000 0.000 0.724
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.1327 0.78795 0.064 0.000 0.000 0.936 0.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.4154 0.74738 0.144 0.000 0.000 0.000 0.744 0.112
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 6 0.3266 0.84148 0.272 0.000 0.000 0.000 0.000 0.728
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 6 0.3833 0.69020 0.444 0.000 0.000 0.000 0.000 0.556
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0363 0.92157 0.000 0.988 0.000 0.012 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.3862 -0.12521 0.608 0.000 0.000 0.000 0.004 0.388
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.4787 0.01919 0.620 0.000 0.000 0.064 0.004 0.312
#> 9E9640CE-68E4-402B-87B4-805A425009B2 4 0.4695 0.48441 0.336 0.000 0.000 0.616 0.016 0.032
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 6 0.4234 0.66607 0.440 0.000 0.000 0.000 0.016 0.544
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.5736 0.51439 0.648 0.000 0.000 0.088 0.148 0.116
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 6 0.5133 0.79787 0.280 0.000 0.000 0.088 0.012 0.620
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.5366 0.55380 0.648 0.000 0.004 0.140 0.016 0.192
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.2540 0.69810 0.004 0.000 0.000 0.872 0.104 0.020
#> 67097304-E22B-41D7-803C-B6F522DA4390 6 0.3717 0.84095 0.276 0.000 0.000 0.000 0.016 0.708
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.3645 0.75034 0.144 0.000 0.000 0.008 0.796 0.052
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.1719 0.61108 0.924 0.000 0.000 0.000 0.016 0.060
#> 06559D18-E45E-4697-BCDB-C781BCF71327 6 0.4871 0.65091 0.144 0.000 0.000 0.196 0.000 0.660
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 6 0.6744 0.54770 0.176 0.000 0.000 0.144 0.152 0.528
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.5214 0.46282 0.148 0.000 0.000 0.624 0.004 0.224
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.1265 0.73963 0.000 0.008 0.000 0.948 0.044 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.1462 0.78572 0.056 0.000 0.000 0.936 0.008 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.3200 0.46898 0.788 0.000 0.000 0.000 0.016 0.196
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 6 0.3871 0.81852 0.308 0.000 0.000 0.000 0.016 0.676
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0260 0.92259 0.000 0.992 0.000 0.008 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0363 0.63731 0.988 0.000 0.000 0.000 0.000 0.012
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.5496 0.48526 0.620 0.000 0.000 0.256 0.080 0.044
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.5927 0.20023 0.264 0.000 0.000 0.000 0.464 0.272
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.3487 0.63437 0.224 0.000 0.000 0.756 0.000 0.020
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 6 0.3266 0.84148 0.272 0.000 0.000 0.000 0.000 0.728
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 6 0.4305 0.72045 0.436 0.000 0.000 0.000 0.020 0.544
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.4319 0.61387 0.748 0.000 0.000 0.172 0.028 0.052
#> 46859620-8B87-4425-835F-7960023E4B07 6 0.3797 0.82767 0.292 0.000 0.000 0.000 0.016 0.692
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.6146 0.43690 0.576 0.008 0.000 0.044 0.244 0.128
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.2531 0.65246 0.000 0.000 0.000 0.856 0.132 0.012
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.6424 0.40768 0.500 0.000 0.000 0.268 0.044 0.188
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.7048 -0.26086 0.152 0.404 0.000 0.012 0.360 0.072
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.4573 0.37786 0.584 0.000 0.000 0.372 0.000 0.044
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0777 0.63776 0.972 0.000 0.000 0.000 0.004 0.024
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.2384 0.65970 0.884 0.000 0.000 0.084 0.000 0.032
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.1265 0.66328 0.948 0.000 0.000 0.044 0.000 0.008
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.2905 0.66167 0.852 0.000 0.000 0.084 0.000 0.064
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.3806 0.75475 0.152 0.000 0.000 0.000 0.772 0.076
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.1327 0.78795 0.064 0.000 0.000 0.936 0.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.4342 0.74946 0.160 0.008 0.000 0.028 0.760 0.044
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 6 0.4682 0.80525 0.284 0.000 0.000 0.000 0.076 0.640
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.5770 0.00118 0.488 0.000 0.000 0.116 0.016 0.380
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.2448 0.63164 0.884 0.000 0.000 0.052 0.000 0.064
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.5211 0.51891 0.692 0.000 0.000 0.140 0.052 0.116
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.4111 0.74949 0.144 0.000 0.000 0.000 0.748 0.108
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 6 0.3769 0.77645 0.356 0.000 0.000 0.004 0.000 0.640
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.4806 0.70534 0.092 0.048 0.000 0.056 0.764 0.040
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.3416 0.62560 0.804 0.000 0.000 0.140 0.000 0.056
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.2798 0.82424 0.004 0.856 0.000 0.012 0.120 0.008
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2178 0.75467 0.132 0.000 0.000 0.868 0.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.4088 0.10166 0.436 0.000 0.000 0.556 0.004 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3124 0.60563 0.828 0.000 0.000 0.140 0.024 0.008
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.2402 0.61981 0.856 0.000 0.000 0.140 0.000 0.004
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0260 0.92259 0.000 0.992 0.000 0.008 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 6 0.3266 0.84148 0.272 0.000 0.000 0.000 0.000 0.728
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0622 0.64353 0.980 0.000 0.000 0.000 0.008 0.012
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 6 0.6470 0.51935 0.148 0.000 0.000 0.184 0.108 0.560
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.2731 0.66101 0.876 0.000 0.000 0.044 0.068 0.012
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.2826 0.62585 0.844 0.000 0.000 0.000 0.128 0.028
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1562 0.64984 0.940 0.000 0.000 0.024 0.004 0.032
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 6 0.5144 0.74763 0.340 0.000 0.000 0.000 0.100 0.560
#> DF9D7119-111B-49A5-8D4D-B625631CC450 6 0.5703 0.56832 0.240 0.000 0.000 0.000 0.236 0.524
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.4665 0.34539 0.588 0.000 0.000 0.372 0.016 0.024
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2520 0.61038 0.844 0.000 0.000 0.152 0.000 0.004
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 6 0.3674 0.83660 0.268 0.000 0.000 0.000 0.016 0.716
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 6 0.6113 0.25029 0.296 0.000 0.000 0.000 0.348 0.356
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1327 0.78795 0.064 0.000 0.000 0.936 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.5567 0.47720 0.584 0.000 0.000 0.232 0.008 0.176
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 6 0.3288 0.84251 0.276 0.000 0.000 0.000 0.000 0.724
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4332 0.51979 0.672 0.000 0.000 0.276 0.000 0.052
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.5073 0.51469 0.636 0.000 0.000 0.268 0.016 0.080
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 6 0.5344 0.72468 0.348 0.000 0.000 0.120 0.000 0.532
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.7265 0.24817 0.000 0.208 0.000 0.120 0.400 0.272
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2980 0.47332 0.808 0.000 0.000 0.000 0.012 0.180
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.5637 0.46757 0.632 0.000 0.000 0.044 0.196 0.128
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.5655 0.42951 0.272 0.000 0.000 0.000 0.528 0.200
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 6 0.6742 0.57337 0.240 0.000 0.000 0.224 0.064 0.472
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 6 0.3266 0.84148 0.272 0.000 0.000 0.000 0.000 0.728
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.4970 0.55854 0.700 0.000 0.000 0.152 0.028 0.120
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4533 0.53794 0.728 0.000 0.000 0.012 0.148 0.112
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.1814 0.57372 0.900 0.000 0.000 0.000 0.000 0.100
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4706 0.74667 0.152 0.000 0.000 0.048 0.732 0.068
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1327 0.78795 0.064 0.000 0.000 0.936 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3851 -0.35226 0.540 0.000 0.000 0.000 0.000 0.460
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.1367 0.73118 0.000 0.044 0.000 0.944 0.012 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.4272 0.75910 0.160 0.000 0.000 0.012 0.748 0.080
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 6 0.3886 0.83042 0.264 0.000 0.000 0.000 0.028 0.708
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2260 0.61925 0.860 0.000 0.000 0.140 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.2513 0.62221 0.852 0.000 0.000 0.140 0.000 0.008
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2882 0.49700 0.812 0.000 0.000 0.008 0.000 0.180
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2260 0.61925 0.860 0.000 0.000 0.140 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0291 0.63996 0.992 0.000 0.000 0.000 0.004 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 6 0.3371 0.84124 0.292 0.000 0.000 0.000 0.000 0.708
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.1327 0.78795 0.064 0.000 0.000 0.936 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 6 0.3782 0.73756 0.412 0.000 0.000 0.000 0.000 0.588
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.3390 0.84149 0.296 0.000 0.000 0.000 0.000 0.704
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1245 0.63732 0.952 0.000 0.000 0.000 0.016 0.032
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.7043 0.34473 0.488 0.040 0.000 0.056 0.288 0.128
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3791 0.72549 0.236 0.000 0.000 0.000 0.732 0.032
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.1779 0.62067 0.920 0.000 0.000 0.000 0.016 0.064
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.3481 0.74945 0.160 0.000 0.000 0.000 0.792 0.048
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4388 0.29802 0.668 0.000 0.000 0.056 0.000 0.276
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.1265 0.73212 0.000 0.044 0.000 0.948 0.008 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.4602 0.67436 0.056 0.748 0.000 0.128 0.068 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0260 0.92259 0.000 0.992 0.000 0.008 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 6 0.3828 0.70241 0.440 0.000 0.000 0.000 0.000 0.560
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3865 0.72929 0.248 0.000 0.000 0.000 0.720 0.032
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4731 0.11324 0.492 0.000 0.000 0.472 0.016 0.020
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.4724 0.45553 0.332 0.000 0.000 0.616 0.012 0.040
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.90610 0.000 0.000 1.000 0.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.6072 0.33437 0.500 0.000 0.000 0.248 0.012 0.240
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 6 0.3851 0.69500 0.460 0.000 0.000 0.000 0.000 0.540
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4882 0.68213 0.152 0.000 0.000 0.000 0.660 0.188
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0363 0.64410 0.988 0.000 0.000 0.000 0.012 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.5123 0.59115 0.184 0.000 0.000 0.000 0.188 0.628
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1327 0.73707 0.000 0.000 0.000 0.936 0.064 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4653 0.50973 0.684 0.000 0.000 0.000 0.196 0.120
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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.338 0.615 0.830 0.4554 0.588 0.588
#> 3 3 0.570 0.690 0.847 0.3929 0.669 0.476
#> 4 4 0.507 0.555 0.718 0.1277 0.842 0.586
#> 5 5 0.462 0.490 0.679 0.0429 0.824 0.474
#> 6 6 0.542 0.547 0.706 0.0493 0.950 0.810
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0938 0.75439 0.988 0.012
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.75697 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0376 0.75651 0.996 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.7815 0.65108 0.768 0.232
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.9909 -0.06192 0.556 0.444
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5842 0.70219 0.860 0.140
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.7376 0.65615 0.792 0.208
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0938 0.75439 0.988 0.012
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0376 0.75651 0.996 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0376 0.75659 0.996 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.9754 0.46271 0.408 0.592
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.9427 0.52779 0.360 0.640
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.9323 0.50482 0.348 0.652
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.77993 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.9087 0.28108 0.676 0.324
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.4298 0.69304 0.912 0.088
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.9710 0.38358 0.400 0.600
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.9710 0.38358 0.400 0.600
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0376 0.77907 0.004 0.996
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.75697 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.75697 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.6801 0.67557 0.820 0.180
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4562 0.72626 0.904 0.096
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.9686 0.50686 0.604 0.396
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.75697 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.77993 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1184 0.75301 0.984 0.016
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1184 0.75553 0.984 0.016
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.6531 0.68601 0.832 0.168
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.75697 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0938 0.75439 0.988 0.012
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0672 0.75564 0.992 0.008
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.9686 0.50686 0.604 0.396
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.75697 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.77993 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.77993 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.9710 -0.01030 0.600 0.400
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.9686 0.50686 0.604 0.396
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.77993 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.75697 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.77993 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.6247 0.69334 0.844 0.156
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.5519 0.74278 0.128 0.872
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.77993 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0376 0.75651 0.996 0.004
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.7950 0.64022 0.760 0.240
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.9323 0.19159 0.652 0.348
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.9686 0.50686 0.604 0.396
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.75697 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.7219 0.66089 0.800 0.200
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.9686 0.50686 0.604 0.396
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.77993 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0938 0.75439 0.988 0.012
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.9686 0.50686 0.604 0.396
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.9686 0.50686 0.604 0.396
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.9686 0.50686 0.604 0.396
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.77993 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.9686 0.50686 0.604 0.396
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.9909 0.42653 0.556 0.444
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.9993 -0.26889 0.516 0.484
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3584 0.73914 0.932 0.068
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.77993 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2236 0.74258 0.964 0.036
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.5946 0.62545 0.856 0.144
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.9754 -0.01907 0.408 0.592
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.7139 0.66336 0.804 0.196
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0672 0.77581 0.008 0.992
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.5842 0.63221 0.860 0.140
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.77993 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.9686 0.50686 0.604 0.396
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.6801 0.71309 0.180 0.820
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.9686 0.50686 0.604 0.396
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.77993 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.5519 0.71088 0.872 0.128
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.75697 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.9608 0.50136 0.384 0.616
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.4431 0.75798 0.092 0.908
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.9732 0.00473 0.596 0.404
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.7139 0.66336 0.804 0.196
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.77993 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.8207 0.41859 0.744 0.256
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0376 0.75651 0.996 0.004
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.8661 0.60339 0.712 0.288
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0672 0.75558 0.992 0.008
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1633 0.74926 0.976 0.024
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.9491 0.10952 0.632 0.368
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0376 0.75659 0.996 0.004
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.1633 0.74990 0.976 0.024
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.9732 0.37444 0.404 0.596
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.9833 -0.07939 0.576 0.424
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.9833 0.45656 0.576 0.424
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.1184 0.75554 0.984 0.016
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2603 0.73706 0.956 0.044
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1414 0.75151 0.980 0.020
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.75697 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.75697 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1414 0.75116 0.980 0.020
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.75697 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.77993 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.77993 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.77993 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.5629 0.74075 0.132 0.868
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.2236 0.74219 0.964 0.036
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.6712 0.68166 0.824 0.176
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.9686 0.50686 0.604 0.396
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 2 0.9661 0.48901 0.392 0.608
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4298 0.73015 0.912 0.088
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.4939 0.75030 0.108 0.892
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0376 0.75651 0.996 0.004
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.75697 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.9732 -0.00630 0.596 0.404
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.77993 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 2 0.9775 0.17914 0.412 0.588
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0938 0.75450 0.988 0.012
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.75697 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.77993 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.77993 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.9686 0.50686 0.604 0.396
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 2 0.9833 0.44065 0.424 0.576
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0672 0.75564 0.992 0.008
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0376 0.75651 0.996 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.75697 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.9686 0.50686 0.604 0.396
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.9686 0.50686 0.604 0.396
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0376 0.75651 0.996 0.004
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.0672 0.75573 0.992 0.008
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0376 0.75651 0.996 0.004
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.77993 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0376 0.75726 0.996 0.004
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.75697 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.77993 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.5178 0.66175 0.884 0.116
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.77993 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.6531 0.72059 0.168 0.832
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0672 0.75571 0.992 0.008
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0000 0.75697 1.000 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.1843 0.74561 0.972 0.028
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 1 0.6801 0.67251 0.820 0.180
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.6973 0.70934 0.188 0.812
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.1414 0.75146 0.980 0.020
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.6801 0.71309 0.180 0.820
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.9044 0.24478 0.680 0.320
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.5629 0.64126 0.868 0.132
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.7056 0.70854 0.192 0.808
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.77993 0.000 1.000
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#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0376 0.75671 0.996 0.004
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.9963 0.37992 0.536 0.464
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.9795 -0.04694 0.416 0.584
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.8861 0.58650 0.696 0.304
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.3879 0.75343 0.076 0.924
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.7139 0.66336 0.804 0.196
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.9686 0.50686 0.604 0.396
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.2043 0.74507 0.968 0.032
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.9970 -0.14840 0.468 0.532
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.7950 0.66462 0.240 0.760
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.75697 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.9248 0.55918 0.660 0.340
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.9944 -0.03790 0.544 0.456
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.9686 0.50686 0.604 0.396
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.9686 0.50686 0.604 0.396
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.9686 0.50686 0.604 0.396
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.1414 0.75139 0.980 0.020
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.2778 0.73406 0.952 0.048
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.77993 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1184 0.75285 0.984 0.016
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.9552 0.52734 0.624 0.376
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.5629 0.64126 0.868 0.132
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.9686 0.50686 0.604 0.396
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0376 0.75651 0.996 0.004
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.75697 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.7219 0.66117 0.800 0.200
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.1843 0.74736 0.972 0.028
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.2043 0.77424 0.032 0.968
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.9686 0.50686 0.604 0.396
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.9580 0.52321 0.620 0.380
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.77993 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.9686 0.50686 0.604 0.396
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1184 0.75290 0.984 0.016
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0376 0.75715 0.996 0.004
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.75697 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.6438 0.59305 0.836 0.164
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0672 0.77878 0.008 0.992
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.9686 0.50686 0.604 0.396
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.77993 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.75697 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.75697 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.6801 0.68371 0.820 0.180
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.9686 0.50686 0.604 0.396
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.9881 0.42593 0.436 0.564
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.9833 -0.07444 0.424 0.576
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.7376 0.65585 0.792 0.208
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.77993 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.4562 0.72629 0.904 0.096
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.77993 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.9686 0.50686 0.604 0.396
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.9686 0.50686 0.604 0.396
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.9044 0.57406 0.680 0.320
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.3584 0.73897 0.932 0.068
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.77993 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0376 0.75651 0.996 0.004
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.75697 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.2778 0.74647 0.952 0.048
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.75697 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.9754 0.46271 0.408 0.592
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.5842 0.64412 0.140 0.860
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.9754 0.48760 0.592 0.408
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0376 0.75720 0.996 0.004
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.75697 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.75697 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.9661 0.51084 0.608 0.392
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.7674 0.64407 0.776 0.224
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.2603 0.73705 0.956 0.044
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.9996 -0.27957 0.512 0.488
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.9686 0.50686 0.604 0.396
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0376 0.75719 0.996 0.004
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.75697 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.9686 0.50686 0.604 0.396
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.6531 0.68389 0.832 0.168
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.9661 0.51118 0.608 0.392
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.77993 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2043 0.74475 0.968 0.032
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.9732 -0.00723 0.596 0.404
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0376 0.75659 0.996 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.9933 -0.01421 0.548 0.452
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.75697 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.9209 0.56060 0.664 0.336
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0672 0.75568 0.992 0.008
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.75697 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.7219 0.69515 0.200 0.800
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.9686 0.50686 0.604 0.396
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.75697 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.9686 0.50686 0.604 0.396
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.9427 0.52710 0.360 0.640
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.75697 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.7602 0.65889 0.780 0.220
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.8386 0.61713 0.732 0.268
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.75697 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.8443 0.61267 0.728 0.272
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0376 0.75651 0.996 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0376 0.75651 0.996 0.004
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.9686 0.50686 0.604 0.396
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.75697 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0376 0.75651 0.996 0.004
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2778 0.73388 0.952 0.048
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.77993 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.9970 0.37396 0.468 0.532
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.75697 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0376 0.77943 0.004 0.996
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.9686 0.50686 0.604 0.396
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.75697 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.9686 0.50686 0.604 0.396
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.77993 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.77993 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1843 0.74714 0.972 0.028
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.9775 0.45778 0.412 0.588
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.9323 0.55045 0.652 0.348
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.9661 0.51104 0.608 0.392
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.9732 -0.00525 0.404 0.596
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.9608 0.51934 0.616 0.384
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0672 0.75558 0.992 0.008
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.5946 0.73604 0.144 0.856
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.75697 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.75697 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.9686 0.50686 0.604 0.396
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.9608 0.06263 0.616 0.384
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0661 0.84587 0.988 0.004 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4974 0.62711 0.764 0.000 0.236
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.84615 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.2959 0.81141 0.100 0.000 0.900
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.8971 0.35598 0.144 0.520 0.336
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.6045 0.32677 0.620 0.000 0.380
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.6299 0.18917 0.476 0.000 0.524
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.84615 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0424 0.84422 0.992 0.000 0.008
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.9228 0.08523 0.464 0.156 0.380
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.3669 0.81693 0.064 0.896 0.040
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.2918 0.83831 0.032 0.924 0.044
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.9746 0.21322 0.244 0.436 0.320
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.85567 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.9189 0.28754 0.500 0.336 0.164
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.8408 0.47537 0.600 0.272 0.128
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.9793 0.02045 0.388 0.376 0.236
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.9974 0.06791 0.324 0.368 0.308
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.5731 0.67807 0.020 0.752 0.228
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5882 0.37876 0.652 0.000 0.348
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0747 0.84403 0.984 0.000 0.016
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.6633 0.26234 0.444 0.008 0.548
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.6659 0.24782 0.460 0.008 0.532
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 3 0.3083 0.81779 0.060 0.024 0.916
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.84544 0.996 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.85567 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1878 0.82981 0.952 0.044 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.6489 0.23069 0.456 0.004 0.540
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4725 0.77802 0.088 0.060 0.852
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0848 0.84161 0.984 0.008 0.008
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.1015 0.84515 0.980 0.012 0.008
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0848 0.84582 0.984 0.008 0.008
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.2902 0.82013 0.064 0.016 0.920
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1950 0.83472 0.952 0.008 0.040
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0747 0.85337 0.000 0.984 0.016
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.85567 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.8393 0.17939 0.396 0.516 0.088
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 3 0.2804 0.81932 0.060 0.016 0.924
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.85567 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.1643 0.83583 0.956 0.000 0.044
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.85567 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.7360 0.07985 0.528 0.032 0.440
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.1877 0.84952 0.012 0.956 0.032
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.85567 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.84615 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.3607 0.80601 0.112 0.008 0.880
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1905 0.83676 0.956 0.016 0.028
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 3 0.2998 0.82050 0.068 0.016 0.916
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.84615 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.7015 0.33803 0.392 0.024 0.584
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.3083 0.81779 0.060 0.024 0.916
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.85567 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0237 0.84595 0.996 0.004 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.3181 0.81863 0.064 0.024 0.912
#> 4336561F-B08B-401A-A016-28DD31DA97DA 3 0.2261 0.81891 0.068 0.000 0.932
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 3 0.2806 0.79811 0.032 0.040 0.928
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0747 0.85337 0.000 0.984 0.016
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.2939 0.82034 0.072 0.012 0.916
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.3780 0.78762 0.044 0.064 0.892
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#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.84615 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.9057 0.31338 0.324 0.520 0.156
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.9152 -0.07226 0.432 0.144 0.424
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.9625 0.26045 0.212 0.348 0.440
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0829 0.84403 0.984 0.004 0.012
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.6079 0.43237 0.388 0.000 0.612
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0592 0.84304 0.988 0.000 0.012
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0747 0.84448 0.984 0.000 0.016
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.5627 0.68638 0.032 0.780 0.188
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 3 0.3083 0.81779 0.060 0.024 0.916
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0747 0.84286 0.984 0.000 0.016
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.3083 0.81779 0.060 0.024 0.916
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.2176 0.84783 0.020 0.948 0.032
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0829 0.84397 0.984 0.004 0.012
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.6192 0.36709 0.420 0.000 0.580
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 3 0.6192 0.35897 0.420 0.000 0.580
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2711 0.80617 0.912 0.000 0.088
#> 151D2793-713F-46BE-A553-A1011E8002E2 3 0.6154 0.38971 0.408 0.000 0.592
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1399 0.84182 0.968 0.004 0.028
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0592 0.84304 0.988 0.000 0.012
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 3 0.3083 0.81779 0.060 0.024 0.916
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.1453 0.84147 0.968 0.008 0.024
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1860 0.82913 0.948 0.000 0.052
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.84615 1.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.1015 0.85339 0.012 0.980 0.008
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.9070 -0.00293 0.428 0.436 0.136
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2165 0.82132 0.936 0.000 0.064
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0747 0.85337 0.000 0.984 0.016
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.2550 0.79905 0.040 0.024 0.936
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.1289 0.84073 0.968 0.000 0.032
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.3083 0.81779 0.060 0.024 0.916
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.4555 0.68501 0.000 0.800 0.200
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.85567 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0424 0.84478 0.992 0.000 0.008
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.8190 0.08783 0.432 0.496 0.072
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.5529 0.60649 0.296 0.000 0.704
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.2537 0.81790 0.080 0.000 0.920
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.2879 0.79707 0.052 0.024 0.924
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.2356 0.81884 0.072 0.000 0.928
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0237 0.84571 0.996 0.000 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.4799 0.75817 0.032 0.836 0.132
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1289 0.83958 0.968 0.000 0.032
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0592 0.84304 0.988 0.000 0.012
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.3083 0.81779 0.060 0.024 0.916
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.9054 0.25430 0.496 0.360 0.144
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0188 0.828872 0.996 0.000 0.004 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.7393 -0.176916 0.164 0.000 0.436 0.400
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.4134 0.675496 0.000 0.000 0.260 0.740
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.7716 0.408287 0.040 0.156 0.580 0.224
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.7723 0.186352 0.228 0.000 0.364 0.408
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.6564 0.431404 0.084 0.000 0.380 0.536
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0336 0.827397 0.992 0.000 0.008 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1792 0.818241 0.932 0.000 0.068 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.6838 0.182930 0.064 0.028 0.596 0.312
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.6407 -0.032818 0.000 0.332 0.584 0.084
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4961 -0.358875 0.000 0.448 0.552 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.6714 0.492829 0.056 0.060 0.668 0.216
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1637 0.737103 0.000 0.940 0.060 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.6612 0.310804 0.360 0.016 0.568 0.056
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.5932 0.544787 0.192 0.060 0.720 0.028
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.7132 0.523620 0.168 0.032 0.640 0.160
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.7219 0.504653 0.144 0.032 0.628 0.196
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.7890 0.062117 0.000 0.376 0.296 0.328
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.7767 0.120684 0.268 0.000 0.432 0.300
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4327 0.652656 0.768 0.000 0.216 0.016
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.7763 0.155481 0.332 0.000 0.248 0.420
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.6661 0.278965 0.084 0.000 0.456 0.460
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0921 0.738760 0.000 0.000 0.028 0.972
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1637 0.814370 0.940 0.000 0.060 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.3610 0.725039 0.000 0.800 0.200 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.2530 0.818947 0.888 0.000 0.112 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.6748 -0.245019 0.092 0.000 0.476 0.432
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.4964 0.548735 0.000 0.004 0.380 0.616
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.4535 0.663591 0.704 0.000 0.292 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.2216 0.824939 0.908 0.000 0.092 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.3528 0.770947 0.808 0.000 0.192 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.1792 0.743573 0.000 0.000 0.068 0.932
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4459 0.656689 0.780 0.000 0.188 0.032
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4898 0.618730 0.000 0.584 0.416 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4382 0.695099 0.000 0.704 0.296 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.6488 0.455717 0.220 0.128 0.648 0.004
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.1022 0.738563 0.000 0.000 0.032 0.968
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3764 0.721773 0.000 0.784 0.216 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.5290 0.455573 0.584 0.000 0.404 0.012
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.8018 0.014828 0.280 0.004 0.388 0.328
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4916 0.608451 0.000 0.576 0.424 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.2011 0.826415 0.920 0.000 0.080 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.4957 0.618687 0.012 0.000 0.320 0.668
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5266 0.559547 0.656 0.016 0.324 0.004
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2469 0.741953 0.000 0.000 0.108 0.892
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.6136 0.504577 0.080 0.000 0.288 0.632
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1389 0.710464 0.000 0.000 0.048 0.952
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0188 0.827148 0.996 0.000 0.004 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0336 0.730472 0.000 0.000 0.008 0.992
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.2469 0.736716 0.000 0.000 0.108 0.892
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.2589 0.731944 0.000 0.000 0.116 0.884
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4925 0.605790 0.000 0.572 0.428 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.2149 0.740552 0.000 0.000 0.088 0.912
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.2329 0.733631 0.000 0.012 0.072 0.916
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.5328 0.526605 0.124 0.088 0.772 0.016
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.7060 0.343750 0.124 0.000 0.400 0.476
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.827657 1.000 0.000 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.5605 0.680821 0.712 0.056 0.224 0.008
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.3219 0.713821 0.000 0.000 0.164 0.836
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.6685 0.445204 0.124 0.000 0.284 0.592
#> E8473ED9-6800-426B-977F-E928065BE475 4 0.7621 -0.143255 0.000 0.212 0.344 0.444
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.9180 0.289271 0.284 0.080 0.388 0.248
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0921 0.737402 0.000 0.972 0.028 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.1022 0.739931 0.000 0.000 0.032 0.968
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.5000 0.470175 0.000 0.500 0.500 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.1302 0.713831 0.000 0.000 0.044 0.956
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4800 0.671696 0.000 0.656 0.340 0.004
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.4820 0.647551 0.000 0.012 0.296 0.692
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.6454 0.208798 0.000 0.084 0.572 0.344
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.4925 0.604221 0.000 0.572 0.428 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.5881 0.512340 0.080 0.040 0.748 0.132
#> F850770E-CE4A-43E8-A4FB-154184CA8155 4 0.5558 0.561980 0.036 0.000 0.324 0.640
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.4687 0.530488 0.088 0.008 0.808 0.096
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.2149 0.825649 0.912 0.000 0.088 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.3791 0.717464 0.004 0.000 0.200 0.796
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0336 0.827397 0.992 0.000 0.008 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0188 0.827148 0.996 0.000 0.004 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.6825 0.475492 0.188 0.116 0.664 0.032
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.5245 0.591469 0.660 0.016 0.320 0.004
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.4938 0.521293 0.204 0.008 0.756 0.032
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.7722 0.485482 0.188 0.032 0.572 0.208
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.6170 0.162981 0.420 0.052 0.528 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.3266 0.712877 0.000 0.000 0.168 0.832
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.6995 0.358063 0.120 0.000 0.384 0.496
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2149 0.825649 0.912 0.000 0.088 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.827657 1.000 0.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2149 0.825649 0.912 0.000 0.088 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.6919 0.173726 0.528 0.000 0.352 0.120
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0592 0.734935 0.000 0.984 0.016 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0188 0.732312 0.000 0.996 0.004 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.4998 0.499037 0.000 0.512 0.488 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0188 0.827148 0.996 0.000 0.004 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.4584 0.641908 0.000 0.004 0.300 0.696
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0817 0.737225 0.000 0.000 0.024 0.976
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.5407 0.061906 0.000 0.296 0.668 0.036
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.6443 0.422849 0.072 0.000 0.400 0.528
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.4855 0.632812 0.000 0.600 0.400 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0336 0.827397 0.992 0.000 0.008 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.1557 0.815999 0.944 0.000 0.056 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.4932 0.483938 0.240 0.032 0.728 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.7253 0.108569 0.084 0.024 0.520 0.372
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.1792 0.830048 0.932 0.000 0.068 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.3311 0.781026 0.828 0.000 0.172 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.1022 0.737588 0.000 0.968 0.032 0.000
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#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.730929 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0336 0.827397 0.992 0.000 0.008 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.4297 0.517651 0.084 0.096 0.820 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.6215 0.514864 0.072 0.000 0.328 0.600
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.2760 0.735266 0.000 0.000 0.128 0.872
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.3123 0.718047 0.000 0.000 0.156 0.844
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.2704 0.736657 0.000 0.000 0.124 0.876
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.6148 -0.283350 0.000 0.408 0.540 0.052
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.5147 0.610392 0.740 0.000 0.200 0.060
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.2216 0.825073 0.908 0.000 0.092 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1389 0.710464 0.000 0.000 0.048 0.952
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.6712 0.216654 0.452 0.032 0.484 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2329 0.81046 0.876 0.000 0.124 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5191 0.51123 0.192 0.000 0.684 0.000 0.124
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.2086 0.80780 0.924 0.000 0.020 0.048 0.008
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.5017 0.27238 0.056 0.000 0.696 0.236 0.012
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 5 0.6513 0.43507 0.024 0.004 0.264 0.132 0.576
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 3 0.4735 0.49911 0.220 0.000 0.720 0.052 0.008
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.4980 0.50369 0.128 0.000 0.752 0.088 0.032
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1195 0.80915 0.960 0.012 0.028 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.2338 0.81499 0.916 0.004 0.048 0.024 0.008
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.6156 0.41185 0.064 0.000 0.612 0.056 0.268
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.2130 0.62522 0.004 0.012 0.060 0.004 0.920
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.2504 0.62110 0.000 0.032 0.064 0.004 0.900
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 5 0.7298 0.43429 0.080 0.008 0.288 0.104 0.520
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3550 0.75129 0.000 0.760 0.000 0.004 0.236
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.7454 -0.09830 0.392 0.000 0.228 0.040 0.340
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.6592 0.31345 0.204 0.000 0.276 0.008 0.512
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 5 0.8333 0.24000 0.204 0.008 0.280 0.120 0.388
#> BD213FB6-2DB9-4955-B061-4CD47604176B 5 0.8246 0.26370 0.172 0.008 0.296 0.124 0.400
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.6484 0.13609 0.000 0.292 0.060 0.076 0.572
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.6250 0.30841 0.292 0.000 0.544 0.004 0.160
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4969 0.24137 0.508 0.000 0.468 0.004 0.020
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.6253 0.47078 0.284 0.000 0.572 0.128 0.016
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.5280 0.52159 0.124 0.000 0.736 0.048 0.092
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4765 0.61660 0.008 0.000 0.428 0.556 0.008
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.3475 0.78886 0.804 0.000 0.180 0.012 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4542 0.41626 0.000 0.536 0.000 0.008 0.456
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4531 0.79672 0.780 0.000 0.128 0.024 0.068
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.5980 0.49983 0.116 0.000 0.688 0.096 0.100
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.5690 0.16674 0.000 0.000 0.624 0.224 0.152
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6862 0.60304 0.576 0.004 0.204 0.044 0.172
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3693 0.81388 0.824 0.000 0.124 0.044 0.008
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.5192 0.67408 0.664 0.000 0.244 0.000 0.092
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.4443 -0.46469 0.000 0.000 0.524 0.472 0.004
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4960 0.47156 0.584 0.000 0.388 0.008 0.020
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.3243 0.47477 0.000 0.180 0.004 0.004 0.812
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.4450 -0.29538 0.000 0.488 0.000 0.004 0.508
#> 08E3097B-3A58-4129-9305-1A0F7452C063 5 0.5821 0.52705 0.204 0.004 0.148 0.004 0.640
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4304 0.52498 0.000 0.000 0.484 0.516 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.4704 0.36588 0.000 0.508 0.004 0.008 0.480
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.5911 -0.03034 0.408 0.000 0.488 0.000 0.104
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.6038 0.45432 0.304 0.000 0.588 0.024 0.084
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.3475 0.48809 0.000 0.180 0.012 0.004 0.804
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.1121 0.85467 0.000 0.956 0.000 0.000 0.044
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.3595 0.81499 0.828 0.000 0.120 0.048 0.004
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.4730 0.36338 0.068 0.000 0.736 0.188 0.008
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.6164 0.41428 0.520 0.000 0.152 0.000 0.328
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.4452 0.47999 0.004 0.000 0.496 0.500 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.2358 0.80596 0.916 0.004 0.020 0.048 0.012
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.7041 0.40881 0.100 0.008 0.560 0.260 0.072
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.3643 0.73290 0.008 0.000 0.212 0.776 0.004
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0992 0.80957 0.968 0.008 0.024 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4500 0.71449 0.016 0.000 0.316 0.664 0.004
#> 4336561F-B08B-401A-A016-28DD31DA97DA 3 0.4517 -0.34707 0.008 0.000 0.556 0.436 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5385 0.46026 0.000 0.000 0.432 0.512 0.056
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.3333 0.49309 0.000 0.164 0.008 0.008 0.820
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.4542 -0.39764 0.008 0.000 0.536 0.456 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.5052 0.57306 0.000 0.000 0.412 0.552 0.036
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.4811 0.60682 0.128 0.004 0.116 0.004 0.748
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.4044 0.52754 0.148 0.000 0.800 0.024 0.028
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2835 0.81736 0.868 0.000 0.112 0.016 0.004
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.6477 0.45325 0.516 0.008 0.168 0.000 0.308
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6080 -0.20800 0.000 0.052 0.476 0.440 0.032
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.6876 0.47958 0.152 0.008 0.576 0.224 0.040
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.7100 0.36392 0.000 0.052 0.280 0.156 0.512
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.6758 0.19786 0.184 0.000 0.340 0.012 0.464
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2563 0.84500 0.000 0.872 0.000 0.008 0.120
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.4803 0.51223 0.012 0.000 0.484 0.500 0.004
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.2561 0.56057 0.000 0.096 0.020 0.000 0.884
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.3456 0.70554 0.000 0.000 0.184 0.800 0.016
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 5 0.5219 -0.00518 0.000 0.400 0.008 0.032 0.560
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.5725 0.20600 0.000 0.000 0.620 0.224 0.156
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.2246 0.80691 0.920 0.004 0.020 0.048 0.008
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.4860 0.48309 0.000 0.004 0.292 0.040 0.664
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.3013 0.51151 0.000 0.160 0.008 0.000 0.832
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.6095 0.47294 0.112 0.012 0.272 0.004 0.600
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.5663 0.43988 0.088 0.000 0.688 0.184 0.040
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.1357 0.85533 0.000 0.948 0.000 0.004 0.048
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.6133 0.28617 0.120 0.000 0.364 0.004 0.512
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.2227 0.81116 0.916 0.000 0.032 0.048 0.004
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 3 0.4341 -0.28370 0.004 0.000 0.592 0.404 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.1281 0.80800 0.956 0.012 0.032 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0865 0.81223 0.972 0.004 0.024 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 5 0.6335 0.51177 0.192 0.000 0.180 0.024 0.604
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.7115 0.50005 0.512 0.004 0.248 0.032 0.204
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.6639 0.21138 0.180 0.000 0.340 0.008 0.472
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 5 0.8328 0.25206 0.196 0.008 0.280 0.124 0.392
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 5 0.6888 0.16666 0.388 0.000 0.100 0.052 0.460
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.5895 -0.18026 0.000 0.040 0.500 0.428 0.032
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 3 0.3590 0.51490 0.128 0.000 0.828 0.036 0.008
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2464 0.81873 0.904 0.000 0.044 0.048 0.004
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.2660 0.80629 0.864 0.008 0.128 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.2142 0.81159 0.920 0.004 0.028 0.048 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2246 0.80691 0.920 0.004 0.020 0.048 0.008
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2313 0.81870 0.912 0.000 0.040 0.044 0.004
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 3 0.5234 0.48593 0.256 0.000 0.676 0.040 0.028
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.2389 0.84698 0.000 0.880 0.000 0.004 0.116
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.2011 0.85565 0.000 0.908 0.000 0.004 0.088
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.3067 0.52533 0.000 0.140 0.012 0.004 0.844
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0992 0.80868 0.968 0.008 0.024 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 3 0.5491 -0.07120 0.000 0.000 0.600 0.312 0.088
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.4696 0.66718 0.012 0.000 0.400 0.584 0.004
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.2586 0.63010 0.000 0.012 0.084 0.012 0.892
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 3 0.5356 0.45832 0.100 0.000 0.728 0.128 0.044
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.3280 0.47846 0.000 0.184 0.004 0.004 0.808
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.1356 0.81113 0.956 0.012 0.028 0.004 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.3170 0.79541 0.828 0.008 0.160 0.004 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 5 0.6116 0.42499 0.268 0.000 0.156 0.004 0.572
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.8295 0.20318 0.112 0.012 0.396 0.180 0.300
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.3784 0.80696 0.820 0.000 0.132 0.024 0.024
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.4769 0.69028 0.688 0.000 0.256 0.000 0.056
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.3231 0.79370 0.000 0.800 0.000 0.004 0.196
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.3048 0.81185 0.000 0.820 0.000 0.004 0.176
#> C4A001BB-F700-4830-B6F1-83E7FC938865 3 0.5075 -0.47162 0.020 0.000 0.512 0.460 0.008
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.5913 0.47813 0.236 0.000 0.152 0.004 0.608
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.1764 0.81294 0.928 0.008 0.064 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.1405 0.81543 0.956 0.000 0.016 0.020 0.008
#> 25F57C6E-E445-4321-95F3-E14E1016459A 3 0.4244 0.46051 0.268 0.000 0.712 0.004 0.016
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.3906 0.73259 0.000 0.000 0.292 0.704 0.004
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.4443 0.57718 0.004 0.000 0.472 0.524 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.3043 0.82064 0.864 0.000 0.104 0.024 0.008
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 3 0.6281 0.28467 0.304 0.000 0.544 0.008 0.144
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.2179 0.81478 0.888 0.000 0.112 0.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.1121 0.85467 0.000 0.956 0.000 0.000 0.044
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.4220 0.63251 0.688 0.008 0.300 0.004 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.5167 0.44144 0.564 0.000 0.396 0.004 0.036
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.4700 0.37991 0.000 0.516 0.004 0.008 0.472
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.5882 0.56621 0.600 0.008 0.112 0.000 0.280
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.1282 0.85419 0.000 0.952 0.000 0.004 0.044
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.2445 0.54493 0.000 0.108 0.004 0.004 0.884
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.6664 0.54476 0.548 0.000 0.268 0.028 0.156
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 3 0.5885 0.35115 0.296 0.000 0.572 0.000 0.132
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.4926 0.73473 0.712 0.000 0.176 0.000 0.112
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 3 0.5724 -0.04396 0.000 0.000 0.584 0.304 0.112
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#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.4192 -0.29951 0.000 0.000 0.596 0.404 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2213 0.80696 0.920 0.004 0.024 0.048 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2804 0.60731 0.000 0.056 0.048 0.008 0.888
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 3 0.4911 -0.09979 0.476 0.000 0.504 0.008 0.012
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.2246 0.80691 0.920 0.004 0.020 0.048 0.008
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3611 0.73184 0.008 0.000 0.208 0.780 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6943 -0.05843 0.432 0.000 0.180 0.020 0.368
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2859 0.76020 0.856 0.000 NA 0.028 0.008 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.4099 0.59902 0.108 0.000 NA 0.788 0.060 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.3819 0.73885 0.624 0.000 NA 0.000 0.004 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.3312 0.61244 0.008 0.000 NA 0.828 0.012 0.132
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 5 0.6402 0.40994 0.020 0.004 NA 0.232 0.580 0.120
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.5002 0.57068 0.204 0.000 NA 0.696 0.008 0.056
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.2814 0.63695 0.032 0.000 NA 0.888 0.020 0.032
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3076 0.74030 0.760 0.000 NA 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4512 0.74349 0.616 0.000 NA 0.024 0.012 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.6106 0.45285 0.048 0.000 NA 0.584 0.276 0.060
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.1440 0.61991 0.004 0.004 NA 0.032 0.948 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.1679 0.61857 0.000 0.016 NA 0.036 0.936 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 5 0.7007 0.49430 0.044 0.008 NA 0.224 0.544 0.132
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4139 0.69849 0.000 0.700 NA 0.000 0.260 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 5 0.7816 0.06112 0.276 0.004 NA 0.208 0.328 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.5552 0.54364 0.064 0.000 NA 0.224 0.636 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 5 0.7560 0.37818 0.060 0.008 NA 0.292 0.452 0.132
#> BD213FB6-2DB9-4955-B061-4CD47604176B 5 0.7708 0.30968 0.060 0.008 NA 0.304 0.424 0.144
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.6998 0.10869 0.000 0.236 NA 0.008 0.496 0.108
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.6604 0.31674 0.216 0.000 NA 0.504 0.216 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5733 -0.00521 0.460 0.000 NA 0.448 0.020 0.020
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4822 0.56712 0.216 0.000 NA 0.696 0.008 0.016
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.3155 0.63672 0.056 0.000 NA 0.864 0.032 0.008
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4444 0.13923 0.000 0.000 NA 0.536 0.000 0.436
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4606 0.73222 0.724 0.000 NA 0.104 0.016 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5781 0.28646 0.000 0.440 NA 0.000 0.404 0.004
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4473 0.74953 0.732 0.000 NA 0.056 0.028 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.2681 0.64018 0.040 0.000 NA 0.888 0.020 0.004
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.5486 0.56140 0.004 0.000 NA 0.680 0.088 0.148
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.7129 0.52558 0.368 0.000 NA 0.148 0.124 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3771 0.75956 0.776 0.000 NA 0.044 0.008 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.5273 0.51366 0.608 0.000 NA 0.300 0.036 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.4583 0.28763 0.000 0.000 NA 0.580 0.000 0.376
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4781 0.20330 0.580 0.000 NA 0.372 0.004 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.3962 0.50269 0.000 0.120 NA 0.000 0.764 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.5568 -0.12840 0.000 0.392 NA 0.000 0.468 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 5 0.5223 0.59073 0.096 0.004 NA 0.164 0.692 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4316 0.43325 0.000 0.000 NA 0.648 0.000 0.312
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.5629 -0.20817 0.000 0.404 NA 0.000 0.448 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.5420 0.26508 0.344 0.000 NA 0.564 0.036 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0405 0.83319 0.000 0.988 NA 0.000 0.008 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.6083 0.52943 0.120 0.004 NA 0.656 0.136 0.036
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.4371 0.47974 0.000 0.116 NA 0.004 0.732 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0508 0.83648 0.000 0.984 NA 0.000 0.012 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.3806 0.76162 0.752 0.000 NA 0.048 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.3234 0.61545 0.012 0.000 NA 0.832 0.012 0.132
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.5734 0.07894 0.416 0.000 NA 0.072 0.476 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.4191 0.46796 0.000 0.000 NA 0.676 0.000 0.284
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.3934 0.73707 0.616 0.000 NA 0.000 0.008 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.4917 0.58228 0.020 0.004 NA 0.736 0.024 0.068
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 6 0.1584 0.79749 0.000 0.000 NA 0.064 0.000 0.928
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0508 0.83516 0.000 0.984 NA 0.000 0.012 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.2442 0.74846 0.852 0.000 NA 0.004 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 6 0.3345 0.69973 0.000 0.000 NA 0.204 0.000 0.776
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.3494 0.52662 0.000 0.000 NA 0.736 0.000 0.252
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5008 0.42937 0.000 0.004 NA 0.624 0.024 0.308
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.3818 0.52261 0.000 0.084 NA 0.004 0.784 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.3888 0.51452 0.000 0.000 NA 0.716 0.000 0.252
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 6 0.5153 0.22965 0.000 0.000 NA 0.404 0.016 0.528
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.3619 0.61799 0.060 0.000 NA 0.104 0.816 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.2659 0.63799 0.052 0.000 NA 0.892 0.024 0.012
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0405 0.83319 0.000 0.988 NA 0.000 0.008 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2755 0.76615 0.844 0.000 NA 0.012 0.004 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.6894 -0.01898 0.348 0.004 NA 0.092 0.428 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.6354 0.29733 0.000 0.048 NA 0.500 0.004 0.124
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.5186 0.57928 0.048 0.004 NA 0.720 0.016 0.064
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.7985 0.30124 0.000 0.084 NA 0.216 0.440 0.132
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.5688 0.55946 0.096 0.004 NA 0.168 0.656 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2584 0.81379 0.000 0.848 NA 0.000 0.144 0.004
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.4500 0.31962 0.008 0.000 NA 0.592 0.000 0.376
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.3208 0.55558 0.000 0.040 NA 0.008 0.832 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 6 0.1500 0.79451 0.000 0.000 NA 0.052 0.000 0.936
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 5 0.5926 0.08612 0.000 0.324 NA 0.000 0.508 0.016
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.5331 0.57203 0.008 0.000 NA 0.696 0.064 0.152
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.3841 0.73583 0.616 0.000 NA 0.000 0.004 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.5183 0.50311 0.004 0.024 NA 0.272 0.648 0.012
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.4250 0.49450 0.000 0.108 NA 0.004 0.744 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.5169 0.47960 0.028 0.008 NA 0.332 0.604 0.008
#> F850770E-CE4A-43E8-A4FB-154184CA8155 4 0.3534 0.63976 0.024 0.000 NA 0.840 0.012 0.068
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0603 0.83645 0.000 0.980 NA 0.000 0.016 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.5490 0.33077 0.052 0.004 NA 0.404 0.516 0.004
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.3652 0.75270 0.672 0.000 NA 0.000 0.004 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.3878 0.53417 0.000 0.000 NA 0.736 0.004 0.228
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.3215 0.73944 0.756 0.000 NA 0.004 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2362 0.75615 0.860 0.000 NA 0.004 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 5 0.5823 0.56462 0.108 0.000 NA 0.176 0.640 0.004
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.7479 0.39939 0.332 0.000 NA 0.152 0.204 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.5851 0.49982 0.128 0.000 NA 0.244 0.588 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 5 0.8052 0.38753 0.104 0.008 NA 0.232 0.440 0.144
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 5 0.6531 0.22722 0.304 0.000 NA 0.068 0.488 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.5645 0.36304 0.000 0.008 NA 0.544 0.004 0.120
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.3561 0.63198 0.080 0.000 NA 0.836 0.008 0.032
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2964 0.76479 0.792 0.000 NA 0.004 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1672 0.73925 0.932 0.000 NA 0.016 0.004 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.3841 0.73583 0.616 0.000 NA 0.000 0.004 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.3852 0.73399 0.612 0.000 NA 0.000 0.004 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2762 0.76375 0.804 0.000 NA 0.000 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.5097 0.57919 0.184 0.000 NA 0.704 0.016 0.036
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.3088 0.79758 0.000 0.808 NA 0.000 0.172 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0508 0.83516 0.000 0.984 NA 0.000 0.012 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.2790 0.81634 0.000 0.844 NA 0.000 0.132 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.4048 0.50956 0.000 0.100 NA 0.004 0.764 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.2805 0.74334 0.812 0.000 NA 0.004 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.4563 0.54499 0.004 0.000 NA 0.728 0.032 0.192
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 6 0.4176 0.36660 0.000 0.000 NA 0.404 0.000 0.580
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.1155 0.62006 0.000 0.004 NA 0.036 0.956 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.2545 0.63989 0.012 0.000 NA 0.900 0.020 0.032
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.4273 0.47718 0.000 0.120 NA 0.000 0.732 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.3266 0.74355 0.728 0.000 NA 0.000 0.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.2876 0.71137 0.860 0.000 NA 0.080 0.004 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 5 0.5670 0.54273 0.104 0.004 NA 0.216 0.632 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0405 0.83319 0.000 0.988 NA 0.000 0.008 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.7206 -0.08528 0.032 0.008 NA 0.392 0.384 0.144
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.4205 0.74932 0.744 0.000 NA 0.060 0.012 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.5398 0.51245 0.584 0.000 NA 0.304 0.016 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.3975 0.71932 0.000 0.716 NA 0.000 0.244 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.3848 0.74333 0.000 0.736 NA 0.000 0.224 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.3784 0.53651 0.004 0.000 NA 0.736 0.000 0.236
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.5177 0.58491 0.088 0.000 NA 0.172 0.688 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.1588 0.74645 0.924 0.000 NA 0.004 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.3528 0.75744 0.700 0.000 NA 0.000 0.004 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.4528 0.60587 0.148 0.000 NA 0.756 0.016 0.024
#> 998A0059-F532-4044-9C25-6D175854F963 6 0.3190 0.69279 0.000 0.000 NA 0.220 0.000 0.772
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.4234 0.40357 0.000 0.000 NA 0.644 0.000 0.324
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.2948 0.76595 0.804 0.000 NA 0.008 0.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 4 0.5936 0.36229 0.288 0.000 NA 0.572 0.080 0.004
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.1285 0.75683 0.944 0.000 NA 0.004 0.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0909 0.83705 0.000 0.968 NA 0.000 0.012 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.4360 0.55401 0.736 0.000 NA 0.192 0.008 0.008
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.4668 0.43405 0.652 0.000 NA 0.284 0.008 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.5762 0.24877 0.000 0.428 NA 0.000 0.420 0.004
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.5254 0.33669 0.548 0.004 NA 0.012 0.376 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0405 0.83319 0.000 0.988 NA 0.000 0.008 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.2894 0.55445 0.000 0.036 NA 0.004 0.852 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.7157 0.48518 0.448 0.000 NA 0.228 0.136 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 4 0.6276 0.40143 0.232 0.004 NA 0.564 0.144 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.6243 0.60681 0.592 0.000 NA 0.108 0.164 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.4417 0.56714 0.000 0.000 NA 0.748 0.036 0.160
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 5 0.5993 0.55411 0.004 0.068 NA 0.172 0.656 0.072
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.3023 0.76430 0.768 0.000 NA 0.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 5 0.4388 0.52265 0.000 0.108 NA 0.016 0.764 0.008
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#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3136 0.73867 0.768 0.000 NA 0.004 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4217 0.60905 0.052 0.000 NA 0.160 0.760 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.3037 0.64023 0.032 0.000 NA 0.872 0.012 0.056
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.3543 0.55434 0.004 0.000 NA 0.764 0.000 0.212
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6453 0.29129 0.000 0.048 NA 0.496 0.008 0.124
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.4047 0.50754 0.000 0.000 NA 0.716 0.004 0.244
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.3684 0.74034 0.628 0.000 NA 0.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2303 0.60232 0.000 0.020 NA 0.024 0.904 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.5759 -0.04502 0.460 0.000 NA 0.436 0.020 0.008
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3852 0.73425 0.612 0.000 NA 0.000 0.004 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 6 0.1265 0.79818 0.000 0.000 NA 0.044 0.000 0.948
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 5 0.7516 0.03337 0.320 0.004 NA 0.172 0.348 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.872 0.935 0.971 0.3872 0.625 0.625
#> 3 3 0.663 0.795 0.897 0.6487 0.656 0.483
#> 4 4 0.664 0.656 0.851 0.1567 0.760 0.443
#> 5 5 0.659 0.537 0.778 0.0686 0.852 0.513
#> 6 6 0.766 0.651 0.824 0.0338 0.900 0.586
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9711 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9711 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9711 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9711 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.6531 0.7891 0.168 0.832
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9711 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9711 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9711 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9711 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9711 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.7299 0.7561 0.796 0.204
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.9666 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.7219 0.7609 0.800 0.200
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9666 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9711 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.5946 0.8314 0.856 0.144
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6801 0.7876 0.820 0.180
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.6801 0.7876 0.820 0.180
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9666 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.9711 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9711 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9711 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.9711 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9711 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9711 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9666 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.1184 0.9582 0.984 0.016
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9711 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9711 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9711 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9711 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9711 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.9711 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9711 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9666 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9666 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.9993 0.0958 0.516 0.484
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9711 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9666 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9711 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9666 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9711 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9666 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9666 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9711 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9711 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9711 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9711 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9711 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9711 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9711 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9666 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9711 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9711 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9711 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.8861 0.5856 0.304 0.696
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9666 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9711 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0672 0.9609 0.008 0.992
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.9711 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9711 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9666 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9711 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0376 0.9679 0.996 0.004
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.1633 0.9510 0.976 0.024
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9711 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9666 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.5059 0.8669 0.888 0.112
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9666 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9711 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.9666 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.3879 0.8996 0.076 0.924
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.9666 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.9711 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9711 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.9686 0.3252 0.604 0.396
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9666 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.6973 0.7772 0.812 0.188
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9711 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9666 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.9711 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.9711 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9711 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9711 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9711 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.7219 0.7609 0.800 0.200
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9711 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.9711 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.6887 0.7824 0.816 0.184
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.9711 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.9711 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9711 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9711 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9711 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9711 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9711 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9711 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9711 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9666 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9666 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9666 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.9666 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9711 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.9711 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9711 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 2 0.0000 0.9666 0.000 1.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0000 0.9711 1.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9666 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.9711 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9711 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0376 0.9679 0.996 0.004
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9666 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0938 0.9615 0.988 0.012
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9711 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.9711 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9666 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9666 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.9711 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0376 0.9679 0.996 0.004
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.9711 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.9711 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9711 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.9711 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.0000 0.9711 1.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9711 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.0000 0.9711 1.000 0.000
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#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.0000 0.9666 0.000 1.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9666 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9666 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.9666 0.000 1.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9666 0.000 1.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.9666 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.9711 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.9711 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.0000 0.9666 0.000 1.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.9711 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.9711 1.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9666 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.6801 0.7878 0.820 0.180
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.2948 0.9254 0.948 0.052
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.9711 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9711 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.0000 0.9711 1.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.0000 0.9711 1.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.0000 0.9711 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0376 0.9638 0.004 0.996
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9711 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.9775 0.2732 0.588 0.412
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.9711 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.0000 0.9711 1.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0376 0.9638 0.004 0.996
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9711 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.9711 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.6438 0.7956 0.836 0.164
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.9711 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.9711 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.9711 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.9711 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.9711 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9666 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.9711 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.9711 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.9711 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9711 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.9711 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9711 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.9711 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.9711 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.9666 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.9711 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.0938 0.9613 0.988 0.012
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9666 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9711 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9711 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9711 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9711 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.9711 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9666 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9711 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9666 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9711 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9711 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9711 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9711 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.0000 0.9666 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9711 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9711 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9666 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9711 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9666 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9711 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9711 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9711 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9711 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9666 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9711 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9711 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.9711 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9711 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.9248 0.4773 0.340 0.660
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.7376 0.7437 0.208 0.792
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9711 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9711 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9711 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9711 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9711 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9711 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9711 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9711 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9711 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9711 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9711 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9711 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9711 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9711 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9666 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9711 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.7219 0.7609 0.800 0.200
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.9711 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.9954 0.1896 0.460 0.540
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9711 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9711 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9711 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9711 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.2778 0.9267 0.048 0.952
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9711 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9711 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.8016 0.6932 0.244 0.756
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0938 0.9578 0.012 0.988
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9711 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9711 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9711 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9711 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9711 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9711 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9711 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9711 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.5946 0.8346 0.856 0.144
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.9711 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9711 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9666 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.6973 0.7773 0.812 0.188
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9711 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9666 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9711 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9711 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.0000 0.9711 1.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9666 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9666 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9711 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.7139 0.7664 0.804 0.196
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9711 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9711 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.1184 0.9579 0.984 0.016
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.9711 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9711 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.9666 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9711 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9711 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9711 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9711 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2165 0.8434 0.936 0.000 0.064
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4346 0.7895 0.816 0.000 0.184
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.2066 0.8523 0.940 0.000 0.060
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.4702 0.7105 0.212 0.000 0.788
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0592 0.8604 0.988 0.012 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 3 0.5529 0.6275 0.296 0.000 0.704
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.3340 0.8534 0.120 0.000 0.880
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4346 0.7895 0.816 0.000 0.184
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1860 0.8524 0.948 0.000 0.052
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.5905 0.4626 0.648 0.000 0.352
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.1129 0.8590 0.976 0.020 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0747 0.8590 0.984 0.016 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0661 0.8611 0.988 0.008 0.004
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9347 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0592 0.8615 0.988 0.000 0.012
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2165 0.8368 0.936 0.064 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0592 0.8615 0.988 0.000 0.012
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0592 0.8615 0.988 0.000 0.012
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9347 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6045 0.4920 0.620 0.000 0.380
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.3816 0.7971 0.148 0.000 0.852
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.0747 0.8946 0.016 0.000 0.984
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.5016 0.6458 0.240 0.000 0.760
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 3 0.1860 0.8944 0.052 0.000 0.948
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1964 0.8524 0.944 0.000 0.056
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9347 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0592 0.8615 0.988 0.000 0.012
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.4452 0.7085 0.192 0.000 0.808
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0747 0.8946 0.016 0.000 0.984
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1860 0.8524 0.948 0.000 0.052
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0592 0.8615 0.988 0.000 0.012
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0592 0.8615 0.988 0.000 0.012
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.0592 0.8945 0.012 0.000 0.988
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 3 0.1031 0.8983 0.024 0.000 0.976
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0424 0.9296 0.008 0.992 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9347 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0592 0.8604 0.988 0.012 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 3 0.0000 0.8958 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9347 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.6062 0.4860 0.616 0.000 0.384
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9347 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0592 0.8615 0.988 0.000 0.012
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9347 0.000 1.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9347 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.2625 0.8481 0.916 0.000 0.084
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.0592 0.8945 0.012 0.000 0.988
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.8628 1.000 0.000 0.000
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#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 3 0.1964 0.8926 0.056 0.000 0.944
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.4504 0.7722 0.196 0.000 0.804
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0592 0.8615 0.988 0.000 0.012
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.8628 1.000 0.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 3 0.1860 0.8944 0.052 0.000 0.948
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 3 0.0592 0.8977 0.012 0.000 0.988
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.3340 0.8127 0.120 0.000 0.880
#> E8D127A4-72BB-4418-B799-76147F40BDC7 3 0.0424 0.8952 0.008 0.000 0.992
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 3 0.0747 0.8977 0.016 0.000 0.984
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 3 0.0747 0.8946 0.016 0.000 0.984
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9347 0.000 1.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 3 0.4555 0.7010 0.200 0.000 0.800
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0592 0.8604 0.988 0.012 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.9793 -0.1270 0.376 0.236 0.388
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.6483 0.3864 0.392 0.600 0.008
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.4291 0.7930 0.820 0.000 0.180
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0747 0.8605 0.984 0.000 0.016
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0747 0.8625 0.984 0.000 0.016
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 3 0.0747 0.8946 0.016 0.000 0.984
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0424 0.9290 0.000 0.992 0.008
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 3 0.1860 0.8944 0.052 0.000 0.948
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 3 0.6291 -0.0602 0.468 0.000 0.532
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.6929 0.6005 0.052 0.260 0.688
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.7464 0.2309 0.560 0.400 0.040
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4002 0.8089 0.840 0.000 0.160
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.1860 0.8944 0.052 0.000 0.948
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 3 0.1860 0.8944 0.052 0.000 0.948
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.0592 0.8945 0.012 0.000 0.988
#> 151D2793-713F-46BE-A553-A1011E8002E2 3 0.1860 0.8944 0.052 0.000 0.948
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0237 0.8628 0.996 0.000 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.4291 0.7930 0.820 0.000 0.180
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 3 0.1860 0.8944 0.052 0.000 0.948
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.7382 0.7011 0.700 0.116 0.184
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4555 0.7753 0.800 0.000 0.200
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.6008 0.3835 0.628 0.000 0.372
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9347 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.1860 0.8524 0.948 0.000 0.052
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0747 0.8614 0.984 0.000 0.016
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0747 0.9241 0.016 0.984 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0747 0.8946 0.016 0.000 0.984
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.6095 0.2972 0.392 0.000 0.608
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.1860 0.8944 0.052 0.000 0.948
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9347 0.000 1.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9347 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4178 0.7997 0.828 0.000 0.172
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0592 0.8604 0.988 0.012 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.1964 0.8926 0.056 0.000 0.944
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.0000 0.8958 0.000 0.000 1.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0747 0.8946 0.016 0.000 0.984
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.0592 0.8945 0.012 0.000 0.988
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.4291 0.7930 0.820 0.000 0.180
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.5591 0.5485 0.304 0.696 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 3 0.5178 0.7019 0.256 0.000 0.744
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4062 0.8062 0.836 0.000 0.164
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.1860 0.8944 0.052 0.000 0.948
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0592 0.8615 0.988 0.000 0.012
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 3 0.5723 0.65794 0.220 0.000 0.696 0.084
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2593 0.68210 0.892 0.000 0.104 0.004
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0921 0.71540 0.972 0.000 0.028 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.7137 0.36959 0.188 0.000 0.256 0.556
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.84808 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.5127 0.39577 0.012 0.000 0.356 0.632
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.1022 0.83975 0.032 0.000 0.000 0.968
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6955 0.44193 0.560 0.000 0.144 0.296
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4716 0.69749 0.196 0.040 0.764 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0188 0.84906 0.004 0.000 0.996 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3726 0.50736 0.788 0.000 0.212 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0188 0.72342 0.996 0.000 0.004 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5478 0.24857 0.540 0.000 0.016 0.444
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4605 0.46215 0.664 0.000 0.000 0.336
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.5290 0.10076 0.516 0.000 0.008 0.476
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1118 0.71731 0.964 0.000 0.036 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1022 0.72144 0.968 0.000 0.000 0.032
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.5673 0.24430 0.536 0.008 0.012 0.444
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.6653 -0.15895 0.480 0.000 0.436 0.084
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.4804 0.08839 0.616 0.000 0.384 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.4304 0.49690 0.284 0.000 0.000 0.716
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.0592 0.85237 0.016 0.000 0.000 0.984
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.84808 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0672 0.72369 0.984 0.000 0.008 0.008
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0921 0.71530 0.972 0.000 0.028 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.4941 0.09294 0.436 0.000 0.000 0.564
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.4955 0.34029 0.444 0.000 0.556 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.4718 0.52861 0.708 0.000 0.012 0.280
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.4585 0.46994 0.000 0.668 0.000 0.332
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.4086 0.53128 0.776 0.008 0.216 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 3 0.2814 0.79732 0.132 0.000 0.868 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4277 0.43444 0.720 0.000 0.280 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.5562 0.21218 0.524 0.004 0.012 0.460
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.5383 0.23513 0.536 0.000 0.012 0.452
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.1867 0.69127 0.928 0.000 0.072 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.4477 0.49970 0.000 0.312 0.688 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.4830 0.26192 0.000 0.392 0.000 0.608
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.5040 0.31918 0.364 0.008 0.000 0.628
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.2973 0.65749 0.856 0.144 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.4522 0.55114 0.320 0.000 0.680 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5337 0.29474 0.564 0.000 0.012 0.424
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.0336 0.84981 0.008 0.000 0.992 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 3 0.3942 0.69840 0.236 0.000 0.764 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.84808 0.000 0.000 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.3818 0.62477 0.844 0.000 0.108 0.048
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0336 0.84960 0.008 0.000 0.992 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0469 0.85003 0.012 0.000 0.988 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.5392 0.21620 0.528 0.000 0.012 0.460
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.4564 0.46992 0.672 0.000 0.000 0.328
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0592 0.72012 0.984 0.000 0.016 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2011 0.69285 0.920 0.000 0.080 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 3 0.1118 0.83920 0.036 0.000 0.964 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.4072 0.64755 0.252 0.748 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4800 0.45113 0.656 0.000 0.004 0.340
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.3056 0.78433 0.040 0.072 0.000 0.888
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.5781 0.42201 0.676 0.252 0.072 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.3486 0.72215 0.188 0.812 0.000 0.000
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#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.87151 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.4564 0.53817 0.328 0.000 0.672 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.5562 0.21218 0.524 0.004 0.012 0.460
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0707 0.84930 0.020 0.000 0.000 0.980
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.72410 1.000 0.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.4916 0.34999 0.424 0.576 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.5021 0.60052 0.036 0.000 0.240 0.724
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1637 0.69883 0.940 0.000 0.060 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.86337 0.000 0.000 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.84808 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 5 0.5495 -0.23538 0.436 0.000 0.064 0.000 0.500
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5635 0.02967 0.076 0.000 0.496 0.000 0.428
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.3852 0.46063 0.220 0.000 0.020 0.000 0.760
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.6717 0.10689 0.368 0.000 0.496 0.072 0.064
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.75713 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.8609 -0.21136 0.240 0.000 0.252 0.264 0.244
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.5327 0.54723 0.120 0.000 0.000 0.664 0.216
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3857 0.48140 0.688 0.000 0.000 0.000 0.312
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4304 0.34969 0.516 0.000 0.000 0.000 0.484
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.4304 -0.28652 0.484 0.000 0.000 0.000 0.516
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0324 0.75738 0.004 0.000 0.992 0.000 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3561 0.49865 0.000 0.000 0.740 0.000 0.260
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.2971 0.70641 0.008 0.000 0.836 0.000 0.156
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.3492 0.68745 0.016 0.000 0.796 0.000 0.188
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.3039 0.23489 0.192 0.000 0.000 0.000 0.808
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4563 0.62912 0.048 0.000 0.708 0.000 0.244
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4563 0.62912 0.048 0.000 0.708 0.000 0.244
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0703 0.85611 0.000 0.976 0.024 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.3452 0.44522 0.244 0.000 0.000 0.000 0.756
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.6442 0.14506 0.488 0.000 0.400 0.044 0.068
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.3476 0.52083 0.836 0.000 0.000 0.076 0.088
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4283 0.09395 0.000 0.000 0.000 0.456 0.544
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 3 0.6194 -0.06906 0.388 0.000 0.472 0.000 0.140
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5358 0.57905 0.104 0.000 0.648 0.000 0.248
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.5026 0.39180 0.280 0.000 0.000 0.064 0.656
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.5140 0.45861 0.768 0.116 0.048 0.028 0.040
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.4227 0.32365 0.580 0.000 0.000 0.000 0.420
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.3972 0.27028 0.188 0.000 0.020 0.012 0.780
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.3304 0.28293 0.168 0.000 0.016 0.000 0.816
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.3183 0.71219 0.156 0.000 0.000 0.828 0.016
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.3609 0.76978 0.080 0.000 0.032 0.848 0.040
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.75713 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3452 0.44522 0.244 0.000 0.000 0.000 0.756
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.4693 0.62318 0.056 0.000 0.700 0.000 0.244
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.1478 0.82205 0.000 0.936 0.000 0.000 0.064
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 5 0.5761 0.38260 0.196 0.000 0.184 0.000 0.620
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.4948 0.44592 0.256 0.000 0.000 0.676 0.068
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.4219 0.20031 0.000 0.000 0.416 0.000 0.584
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.4201 0.33043 0.592 0.000 0.000 0.000 0.408
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.4481 0.44468 0.760 0.000 0.012 0.176 0.052
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.4273 0.38825 0.552 0.000 0.000 0.000 0.448
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0162 0.88910 0.000 0.004 0.000 0.996 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0162 0.86910 0.000 0.996 0.000 0.000 0.004
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.3730 0.53665 0.000 0.712 0.000 0.288 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.1117 0.45989 0.020 0.000 0.016 0.000 0.964
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 5 0.6142 -0.19696 0.396 0.000 0.132 0.000 0.472
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.3586 0.47554 0.000 0.000 0.264 0.000 0.736
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.3437 0.49185 0.808 0.004 0.012 0.176 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.3280 0.49452 0.812 0.000 0.012 0.176 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.4168 0.47022 0.200 0.000 0.044 0.000 0.756
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0404 0.75361 0.000 0.012 0.988 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.0290 0.88621 0.000 0.008 0.000 0.992 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0162 0.86929 0.000 0.996 0.004 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6073 0.36568 0.532 0.008 0.000 0.104 0.356
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.3452 0.44522 0.244 0.000 0.000 0.000 0.756
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.7671 -0.05781 0.152 0.444 0.096 0.000 0.308
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0794 0.85321 0.000 0.972 0.028 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.4088 0.31535 0.000 0.000 0.632 0.000 0.368
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.3320 0.50232 0.828 0.000 0.012 0.152 0.008
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.1697 0.74525 0.008 0.000 0.932 0.000 0.060
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.4249 0.12302 0.432 0.000 0.000 0.000 0.568
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.3857 0.48140 0.688 0.000 0.000 0.000 0.312
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 5 0.5291 -0.25617 0.456 0.000 0.048 0.000 0.496
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.75713 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.4171 0.43760 0.604 0.000 0.000 0.000 0.396
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.1121 0.45447 0.044 0.000 0.000 0.000 0.956
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.4197 0.64212 0.028 0.000 0.728 0.000 0.244
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0451 0.75745 0.008 0.000 0.988 0.000 0.004
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.3280 0.49452 0.812 0.000 0.012 0.176 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 5 0.4283 -0.26247 0.456 0.000 0.000 0.000 0.544
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.3837 0.47884 0.692 0.000 0.000 0.000 0.308
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 5 0.3819 0.45616 0.228 0.000 0.016 0.000 0.756
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 5 0.4380 0.45214 0.260 0.000 0.032 0.000 0.708
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 3 0.3728 0.56497 0.244 0.000 0.748 0.000 0.008
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.2605 0.75188 0.148 0.000 0.000 0.852 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.1043 0.83899 0.000 0.960 0.000 0.000 0.040
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4420 0.50033 0.692 0.000 0.000 0.028 0.280
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.3694 0.71266 0.032 0.172 0.000 0.796 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.4746 0.47146 0.048 0.164 0.032 0.000 0.756
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.0290 0.88590 0.000 0.000 0.000 0.992 0.008
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.4268 0.25365 0.000 0.556 0.000 0.000 0.444
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.3895 0.47675 0.680 0.000 0.000 0.000 0.320
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.5369 0.37258 0.552 0.000 0.000 0.060 0.388
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.0290 0.75731 0.008 0.000 0.992 0.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.2707 0.71446 0.008 0.000 0.860 0.000 0.132
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 3 0.6498 0.31923 0.200 0.000 0.460 0.000 0.340
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 5 0.3916 0.17102 0.256 0.000 0.012 0.000 0.732
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.6002 0.41339 0.116 0.000 0.492 0.000 0.392
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.3857 0.48140 0.688 0.000 0.000 0.000 0.312
#> 83867921-8D7C-41AE-9292-010EECA0C186 3 0.1216 0.74514 0.020 0.000 0.960 0.000 0.020
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.4168 0.60246 0.200 0.000 0.000 0.756 0.044
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 3 0.3774 0.48950 0.296 0.000 0.704 0.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.4088 0.41260 0.632 0.000 0.000 0.000 0.368
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.1364 0.51712 0.952 0.000 0.036 0.000 0.012
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1412 0.52756 0.952 0.000 0.008 0.036 0.004
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 5 0.8202 -0.14189 0.308 0.000 0.156 0.168 0.368
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 5 0.4204 0.47182 0.196 0.000 0.048 0.000 0.756
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.87148 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.4256 0.27162 0.000 0.564 0.000 0.000 0.436
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 3 0.0290 0.75514 0.000 0.000 0.992 0.000 0.008
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 5 0.6596 -0.06244 0.256 0.000 0.280 0.000 0.464
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 5 0.1671 0.46488 0.076 0.000 0.000 0.000 0.924
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.5781 0.60468 0.092 0.148 0.000 0.696 0.064
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#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.4074 0.40079 0.000 0.636 0.000 0.000 0.364
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.7708 0.25685 0.412 0.000 0.236 0.288 0.064
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.4087 0.46663 0.208 0.000 0.036 0.000 0.756
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.89152 0.000 0.000 0.000 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0566 0.75681 0.004 0.000 0.984 0.000 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3198 0.6053 0.796 0.000 0.008 0.000 0.188 0.008
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5294 0.4747 0.148 0.000 0.652 0.000 0.180 0.020
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.3789 0.6771 0.416 0.000 0.000 0.000 0.584 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.5072 0.0691 0.464 0.000 0.480 0.028 0.000 0.028
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0260 0.7959 0.000 0.000 0.992 0.000 0.000 0.008
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4310 0.5200 0.576 0.000 0.016 0.000 0.404 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.5968 0.1755 0.236 0.000 0.000 0.484 0.276 0.004
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2212 0.4655 0.880 0.000 0.000 0.000 0.112 0.008
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.2070 0.4809 0.892 0.000 0.000 0.000 0.100 0.008
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0291 0.5713 0.992 0.000 0.000 0.000 0.004 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0000 0.7957 0.000 0.000 1.000 0.000 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.0937 0.7840 0.000 0.000 0.960 0.000 0.040 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3515 0.5698 0.000 0.000 0.676 0.000 0.324 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.3789 0.5566 0.008 0.000 0.660 0.000 0.332 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3383 0.5374 0.728 0.000 0.000 0.000 0.268 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.5372 0.3498 0.112 0.000 0.484 0.000 0.404 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.5157 0.3900 0.088 0.000 0.508 0.000 0.404 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0146 0.9042 0.000 0.996 0.004 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.3789 0.6791 0.416 0.000 0.000 0.000 0.584 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.5497 0.3358 0.184 0.000 0.560 0.000 0.000 0.256
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.3797 0.2847 0.420 0.000 0.000 0.000 0.000 0.580
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4151 0.2647 0.008 0.000 0.000 0.412 0.576 0.004
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 3 0.4633 0.4588 0.308 0.000 0.640 0.000 0.012 0.040
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5890 0.3453 0.420 0.000 0.172 0.000 0.404 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.4129 0.6685 0.424 0.000 0.000 0.000 0.564 0.012
#> 54F31962-F589-4C36-B597-3965989EA02E 6 0.5246 0.4832 0.164 0.000 0.232 0.000 0.000 0.604
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.3198 0.1791 0.740 0.000 0.000 0.000 0.260 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4144 0.5230 0.580 0.000 0.008 0.000 0.408 0.004
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1918 0.5925 0.904 0.000 0.000 0.000 0.088 0.008
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.1806 0.8411 0.088 0.000 0.000 0.908 0.000 0.004
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.2653 0.7765 0.144 0.000 0.012 0.844 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0291 0.9021 0.004 0.992 0.000 0.000 0.000 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0260 0.7959 0.000 0.000 0.992 0.000 0.000 0.008
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3907 0.6808 0.408 0.000 0.000 0.000 0.588 0.004
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.5722 0.2506 0.164 0.000 0.432 0.000 0.404 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0436 0.9002 0.004 0.988 0.000 0.000 0.004 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4062 -0.4256 0.552 0.000 0.000 0.000 0.440 0.008
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.3448 0.5763 0.280 0.000 0.000 0.716 0.000 0.004
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.4086 0.1160 0.008 0.000 0.464 0.000 0.528 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.3136 0.2616 0.768 0.000 0.000 0.000 0.228 0.004
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 6 0.0291 0.8899 0.004 0.000 0.000 0.000 0.004 0.992
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0291 0.5649 0.992 0.000 0.000 0.000 0.004 0.004
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.1007 0.8883 0.000 0.044 0.000 0.956 0.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.3357 0.6440 0.008 0.764 0.000 0.224 0.000 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.3737 0.6801 0.392 0.000 0.000 0.000 0.608 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.4226 0.5220 0.580 0.000 0.012 0.000 0.404 0.004
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.5096 0.5067 0.112 0.000 0.292 0.000 0.596 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 6 0.0146 0.8912 0.004 0.000 0.000 0.000 0.000 0.996
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 6 0.0260 0.8910 0.008 0.000 0.000 0.000 0.000 0.992
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.3890 0.6841 0.400 0.000 0.004 0.000 0.596 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0547 0.7925 0.000 0.000 0.980 0.000 0.020 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1327 0.8560 0.000 0.936 0.064 0.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.4022 0.5461 0.628 0.008 0.000 0.000 0.360 0.004
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.3765 0.6834 0.404 0.000 0.000 0.000 0.596 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.5909 -0.1929 0.420 0.400 0.000 0.000 0.176 0.004
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0146 0.9044 0.004 0.996 0.000 0.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.2219 0.7154 0.000 0.000 0.864 0.000 0.136 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 6 0.0458 0.8890 0.016 0.000 0.000 0.000 0.000 0.984
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.1910 0.7425 0.000 0.000 0.892 0.000 0.108 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.3804 -0.1221 0.656 0.000 0.000 0.000 0.336 0.008
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.2358 0.4666 0.876 0.000 0.000 0.000 0.108 0.016
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.4329 0.5208 0.576 0.000 0.012 0.000 0.404 0.008
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0260 0.7959 0.000 0.000 0.992 0.000 0.000 0.008
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0146 0.5688 0.996 0.000 0.000 0.000 0.000 0.004
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.3950 0.6463 0.432 0.000 0.000 0.000 0.564 0.004
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.3765 0.4918 0.000 0.000 0.596 0.000 0.404 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0146 0.7951 0.000 0.000 0.996 0.000 0.004 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 6 0.0146 0.8912 0.004 0.000 0.000 0.000 0.000 0.996
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.0146 0.9229 0.004 0.000 0.000 0.996 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0260 0.5696 0.992 0.000 0.000 0.000 0.000 0.008
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0363 0.5681 0.988 0.000 0.000 0.000 0.000 0.012
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 5 0.3765 0.6834 0.404 0.000 0.000 0.000 0.596 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 5 0.4566 0.6811 0.364 0.000 0.004 0.000 0.596 0.036
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 3 0.3314 0.5994 0.224 0.000 0.764 0.000 0.000 0.012
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.3578 0.4536 0.340 0.000 0.000 0.660 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.2793 0.6871 0.200 0.800 0.000 0.000 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.1364 0.5542 0.952 0.000 0.000 0.016 0.012 0.020
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.1180 0.9001 0.012 0.016 0.000 0.960 0.000 0.012
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.3765 0.6834 0.404 0.000 0.000 0.000 0.596 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.3823 0.2188 0.000 0.564 0.000 0.000 0.436 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.3046 0.3438 0.800 0.000 0.000 0.000 0.188 0.012
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.3141 0.6019 0.788 0.000 0.000 0.000 0.200 0.012
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.0363 0.7952 0.000 0.000 0.988 0.000 0.012 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.2793 0.6716 0.000 0.000 0.800 0.000 0.200 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.4310 0.5200 0.576 0.000 0.016 0.000 0.404 0.004
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.2595 0.3958 0.836 0.000 0.000 0.000 0.160 0.004
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.4402 -0.4261 0.412 0.000 0.020 0.000 0.564 0.004
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.2019 0.4947 0.900 0.000 0.000 0.000 0.088 0.012
#> 83867921-8D7C-41AE-9292-010EECA0C186 3 0.1296 0.7776 0.044 0.000 0.948 0.000 0.004 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.2823 0.6906 0.204 0.000 0.000 0.796 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 3 0.3710 0.4933 0.292 0.000 0.696 0.000 0.000 0.012
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.3445 0.1579 0.732 0.000 0.000 0.000 0.260 0.008
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 6 0.3071 0.7245 0.180 0.000 0.016 0.000 0.000 0.804
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 6 0.3446 0.4885 0.308 0.000 0.000 0.000 0.000 0.692
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.4360 0.5203 0.576 0.000 0.012 0.004 0.404 0.004
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 5 0.3890 0.6841 0.400 0.000 0.004 0.000 0.596 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.3774 0.2952 0.000 0.592 0.000 0.000 0.408 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 3 0.0260 0.7959 0.000 0.000 0.992 0.000 0.000 0.008
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.2886 0.5414 0.836 0.000 0.016 0.000 0.144 0.004
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 5 0.3747 0.6796 0.396 0.000 0.000 0.000 0.604 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.4199 0.5865 0.248 0.044 0.000 0.704 0.000 0.004
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.5496 0.4608 0.544 0.160 0.000 0.000 0.296 0.000
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#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4329 0.5206 0.576 0.000 0.008 0.000 0.404 0.012
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0405 0.7950 0.000 0.004 0.988 0.000 0.000 0.008
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3868 0.0122 0.000 0.000 0.496 0.000 0.504 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4387 0.5186 0.572 0.000 0.020 0.000 0.404 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 6 0.0260 0.8910 0.008 0.000 0.000 0.000 0.000 0.992
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.5734 0.5291 0.264 0.000 0.000 0.196 0.536 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9068 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1625 0.5223 0.928 0.000 0.000 0.000 0.060 0.012
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.3747 0.2853 0.000 0.000 0.604 0.000 0.396 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 6 0.0291 0.8897 0.004 0.004 0.000 0.000 0.000 0.992
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.1387 0.8636 0.068 0.000 0.000 0.932 0.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.4067 0.6435 0.444 0.000 0.000 0.000 0.548 0.008
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.3487 0.6858 0.044 0.788 0.000 0.000 0.168 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4884 0.4847 0.700 0.000 0.088 0.184 0.000 0.028
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.3765 0.6834 0.404 0.000 0.000 0.000 0.596 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.0000 0.9255 0.000 0.000 0.000 1.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0146 0.7951 0.000 0.000 0.996 0.000 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 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 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 0.435 0.831 0.889 0.2540 0.853 0.853
#> 3 3 0.149 0.475 0.669 0.9745 0.586 0.519
#> 4 4 0.227 0.479 0.692 0.1907 0.873 0.733
#> 5 5 0.304 0.287 0.594 0.1163 0.941 0.843
#> 6 6 0.364 0.492 0.639 0.0831 0.774 0.422
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3114 0.8751 0.944 0.056
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1843 0.8910 0.972 0.028
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0938 0.8894 0.988 0.012
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3431 0.8708 0.936 0.064
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4690 0.8740 0.900 0.100
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3431 0.8708 0.936 0.064
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.2043 0.8905 0.968 0.032
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2236 0.8910 0.964 0.036
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1184 0.8900 0.984 0.016
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1633 0.8899 0.976 0.024
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.2778 0.8916 0.952 0.048
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.8608 0.7020 0.716 0.284
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.3431 0.8708 0.936 0.064
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.5946 0.8861 0.144 0.856
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2236 0.8878 0.964 0.036
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1633 0.8887 0.976 0.024
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.3431 0.8708 0.936 0.064
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.3431 0.8708 0.936 0.064
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.9977 0.2056 0.528 0.472
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5946 0.8398 0.856 0.144
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1633 0.8894 0.976 0.024
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4431 0.8816 0.908 0.092
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.5408 0.8529 0.876 0.124
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3431 0.8708 0.936 0.064
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1633 0.8894 0.976 0.024
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 1 0.9427 0.5390 0.640 0.360
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.3274 0.8731 0.940 0.060
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.5178 0.8603 0.884 0.116
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.2948 0.8896 0.948 0.052
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1843 0.8883 0.972 0.028
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.2043 0.8905 0.968 0.032
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1414 0.8887 0.980 0.020
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.8386 0.6998 0.732 0.268
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3431 0.8708 0.936 0.064
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.9358 0.5551 0.648 0.352
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 1 0.9427 0.5374 0.640 0.360
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4022 0.8737 0.920 0.080
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.5059 0.8688 0.888 0.112
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 1 1.0000 0.1056 0.504 0.496
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2778 0.8872 0.952 0.048
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.3431 0.9277 0.064 0.936
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1633 0.8861 0.976 0.024
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 1 0.9608 0.4806 0.616 0.384
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.3431 0.9277 0.064 0.936
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.1184 0.8891 0.984 0.016
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1843 0.8887 0.972 0.028
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1843 0.8893 0.972 0.028
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4815 0.8728 0.896 0.104
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.1184 0.8885 0.984 0.016
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.5842 0.8390 0.860 0.140
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.2603 0.8922 0.956 0.044
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.3431 0.9277 0.064 0.936
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.1843 0.8896 0.972 0.028
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.4298 0.8721 0.912 0.088
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.1843 0.8881 0.972 0.028
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.5059 0.8688 0.888 0.112
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 1 0.9209 0.5876 0.664 0.336
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.2043 0.8892 0.968 0.032
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.8144 0.7253 0.748 0.252
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.3274 0.8849 0.940 0.060
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.2236 0.8892 0.964 0.036
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.3431 0.9277 0.064 0.936
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2948 0.8866 0.948 0.052
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.6343 0.8264 0.840 0.160
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.6148 0.8453 0.848 0.152
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.1843 0.8903 0.972 0.028
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.5408 0.8519 0.876 0.124
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.8267 0.7101 0.740 0.260
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.3584 0.9276 0.068 0.932
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.2043 0.8917 0.968 0.032
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 1 0.8608 0.7020 0.716 0.284
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.8909 0.6423 0.692 0.308
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 1 0.4690 0.8747 0.900 0.100
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.3274 0.8934 0.940 0.060
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.2236 0.8925 0.964 0.036
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.8661 0.6724 0.712 0.288
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 1 0.9358 0.5546 0.648 0.352
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.5408 0.8515 0.876 0.124
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.3879 0.8851 0.924 0.076
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.3431 0.9277 0.064 0.936
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.2236 0.8920 0.964 0.036
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.1843 0.8883 0.972 0.028
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.4815 0.8728 0.896 0.104
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.1184 0.8901 0.984 0.016
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.3114 0.8751 0.944 0.056
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4022 0.8737 0.920 0.080
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0938 0.8883 0.988 0.012
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.2778 0.8877 0.952 0.048
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.3431 0.8708 0.936 0.064
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.2423 0.8903 0.960 0.040
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.6148 0.8453 0.848 0.152
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2236 0.8924 0.964 0.036
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.2043 0.8867 0.968 0.032
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.3431 0.8708 0.936 0.064
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.2603 0.8919 0.956 0.044
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2423 0.8908 0.960 0.040
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.3431 0.8708 0.936 0.064
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.3584 0.8721 0.932 0.068
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.5946 0.8861 0.144 0.856
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.3431 0.9277 0.064 0.936
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.4939 0.9148 0.108 0.892
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 1 0.8499 0.6921 0.724 0.276
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.2948 0.8767 0.948 0.052
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.4690 0.8677 0.900 0.100
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.1633 0.8916 0.976 0.024
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.7815 0.7481 0.768 0.232
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.5629 0.8489 0.868 0.132
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 1 0.9323 0.5642 0.652 0.348
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.1184 0.8901 0.984 0.016
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#> E25D9A9E-B58C-4518-9B2C-A475B12AE161 1 0.3431 0.8708 0.936 0.064
#> 9CBD937D-72F2-4F05-A670-9D231FEAB3EC 2 0.5629 0.8986 0.132 0.868
#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.3431 0.8708 0.936 0.064
#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.2603 0.8888 0.956 0.044
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 1 0.9427 0.5374 0.640 0.360
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.6973 0.7968 0.812 0.188
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.3114 0.8750 0.944 0.056
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 1 0.8861 0.6477 0.696 0.304
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.3274 0.8731 0.940 0.060
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 1 0.2778 0.8917 0.952 0.048
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.3431 0.8708 0.936 0.064
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.3733 0.8747 0.928 0.072
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.2778 0.8788 0.952 0.048
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.1843 0.8877 0.972 0.028
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 1 0.3584 0.8723 0.932 0.068
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 1 0.3431 0.8708 0.936 0.064
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.1414 0.8895 0.980 0.020
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 1 0.5946 0.8540 0.856 0.144
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.4298 0.8742 0.912 0.088
#> E0053297-AB5D-4580-9328-7C3743E9CB14 1 0.9580 0.4905 0.620 0.380
#> 64DE217D-A810-481E-A654-7D1B36D2858E 1 0.3431 0.8708 0.936 0.064
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.8267 0.7101 0.740 0.260
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 1 0.3584 0.8723 0.932 0.068
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.5946 0.8861 0.144 0.856
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.5059 0.9124 0.112 0.888
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 1 0.6887 0.8011 0.816 0.184
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 1 0.9996 0.1405 0.512 0.488
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 1 0.9286 0.5709 0.656 0.344
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.1184 0.8904 0.984 0.016
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.4939 0.8704 0.892 0.108
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.8267 0.7101 0.740 0.260
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0938 0.8901 0.988 0.012
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.4298 0.8863 0.912 0.088
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.4298 0.9225 0.088 0.912
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.5519 0.8615 0.872 0.128
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.2043 0.8892 0.968 0.032
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.1633 0.8882 0.976 0.024
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.3584 0.8721 0.932 0.068
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.2778 0.8917 0.952 0.048
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.6148 0.8453 0.848 0.152
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.2948 0.8923 0.948 0.052
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.8499 0.6900 0.724 0.276
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.3431 0.8708 0.936 0.064
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.5946 0.8524 0.856 0.144
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.1414 0.8890 0.980 0.020
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.6148 0.8453 0.848 0.152
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.6887 0.8011 0.816 0.184
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.2948 0.8864 0.948 0.052
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.5629 0.8452 0.868 0.132
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.9087 0.6102 0.676 0.324
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.1843 0.8924 0.972 0.028
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.4298 0.8721 0.912 0.088
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.4161 0.8814 0.916 0.084
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.3274 0.8731 0.940 0.060
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.3114 0.8751 0.944 0.056
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.3431 0.9277 0.064 0.936
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.3431 0.8708 0.936 0.064
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.2043 0.8893 0.968 0.032
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.2603 0.8919 0.956 0.044
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.1414 0.8888 0.980 0.020
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.1184 0.8901 0.984 0.016
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.1843 0.8917 0.972 0.028
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.1414 0.8908 0.980 0.020
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.1633 0.8903 0.976 0.024
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.3584 0.8723 0.932 0.068
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.3879 0.8780 0.924 0.076
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.8443 0.6941 0.728 0.272
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 1 0.9866 0.3421 0.568 0.432
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.4562 0.8770 0.904 0.096
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.3431 0.8708 0.936 0.064
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.1633 0.8900 0.976 0.024
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.3431 0.8708 0.936 0.064
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.3114 0.8843 0.944 0.056
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.8207 0.7146 0.256 0.744
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.1414 0.8909 0.980 0.020
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 1 0.9732 0.4261 0.596 0.404
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.6531 0.8134 0.832 0.168
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.2043 0.8905 0.968 0.032
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.4431 0.8792 0.908 0.092
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.2948 0.8805 0.948 0.052
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.8267 0.7101 0.740 0.260
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.6148 0.8453 0.848 0.152
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.6148 0.8509 0.848 0.152
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 1 0.8499 0.6917 0.724 0.276
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.2603 0.8876 0.956 0.044
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 1 0.6887 0.8011 0.816 0.184
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.5059 0.8688 0.888 0.112
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.1633 0.8912 0.976 0.024
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2948 0.8805 0.948 0.052
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.3431 0.8708 0.936 0.064
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.3431 0.9277 0.064 0.936
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.4815 0.8642 0.896 0.104
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.1633 0.8903 0.976 0.024
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.4815 0.8664 0.896 0.104
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.2236 0.8893 0.964 0.036
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.2778 0.8916 0.952 0.048
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.6148 0.8453 0.848 0.152
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.6148 0.8453 0.848 0.152
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3431 0.8708 0.936 0.064
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.3274 0.8896 0.940 0.060
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.2423 0.8908 0.960 0.040
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2778 0.8787 0.952 0.048
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.3274 0.8730 0.940 0.060
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.3274 0.8731 0.940 0.060
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.6531 0.8134 0.832 0.168
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.1633 0.8916 0.976 0.024
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.2423 0.8897 0.960 0.040
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.2043 0.8927 0.968 0.032
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4815 0.8728 0.896 0.104
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.3431 0.8817 0.936 0.064
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.2043 0.8901 0.968 0.032
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 1 0.9209 0.5896 0.664 0.336
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2948 0.8767 0.948 0.052
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.4022 0.8737 0.920 0.080
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.5842 0.8415 0.860 0.140
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.9248 0.5789 0.660 0.340
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3733 0.8808 0.928 0.072
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.2423 0.8903 0.960 0.040
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3431 0.8708 0.936 0.064
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3274 0.8865 0.940 0.060
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.8955 0.6323 0.688 0.312
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.5059 0.8688 0.888 0.112
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.1184 0.8904 0.984 0.016
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.8016 0.7372 0.756 0.244
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.9393 0.5463 0.644 0.356
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.4298 0.8732 0.912 0.088
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3431 0.8708 0.936 0.064
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.3431 0.8708 0.936 0.064
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.4562 0.8698 0.904 0.096
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.3431 0.8708 0.936 0.064
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1843 0.8888 0.972 0.028
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.3114 0.8886 0.944 0.056
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0938 0.8879 0.988 0.012
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.7883 0.7533 0.764 0.236
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4431 0.8719 0.908 0.092
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.3431 0.8708 0.936 0.064
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.3584 0.8723 0.932 0.068
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.7376 0.7832 0.792 0.208
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2043 0.8920 0.968 0.032
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.9393 0.5460 0.644 0.356
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.2778 0.8917 0.952 0.048
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3584 0.8822 0.932 0.068
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.4690 0.8658 0.900 0.100
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.5629 0.8457 0.868 0.132
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.3431 0.9277 0.064 0.936
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1184 0.8901 0.984 0.016
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.6048 0.8338 0.852 0.148
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.2043 0.8905 0.968 0.032
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4431 0.8702 0.908 0.092
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.6148 0.8453 0.848 0.152
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2423 0.8913 0.960 0.040
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2236 0.8895 0.964 0.036
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.5408 0.8510 0.876 0.124
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3431 0.8708 0.936 0.064
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.2778 0.8893 0.952 0.048
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.1633 0.8904 0.976 0.024
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3114 0.8752 0.944 0.056
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1129 0.6050 0.976 0.004 0.020
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.6299 -0.0239 0.524 0.000 0.476
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.5692 0.5376 0.724 0.008 0.268
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0475 0.5966 0.992 0.004 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.8334 0.3856 0.616 0.136 0.248
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0237 0.6001 0.996 0.000 0.004
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.6521 -0.0982 0.500 0.004 0.496
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5247 0.5896 0.768 0.008 0.224
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.6954 0.4598 0.620 0.028 0.352
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6148 0.4019 0.640 0.004 0.356
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.6460 0.3062 0.440 0.004 0.556
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6723 0.5164 0.212 0.064 0.724
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6920 0.4321 0.732 0.104 0.164
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6154 0.7706 0.000 0.592 0.408
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.6057 0.3908 0.656 0.004 0.340
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.6489 0.0794 0.540 0.004 0.456
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6920 0.4321 0.732 0.104 0.164
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.6920 0.4321 0.732 0.104 0.164
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.5455 0.3599 0.028 0.184 0.788
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.6422 0.5526 0.324 0.016 0.660
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5285 0.5601 0.752 0.004 0.244
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.8355 0.1855 0.508 0.084 0.408
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#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.6301 0.6056 0.260 0.028 0.712
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.5012 0.5941 0.788 0.008 0.204
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.7557 0.5110 0.656 0.080 0.264
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.3573 0.6158 0.876 0.004 0.120
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.5236 0.6396 0.168 0.028 0.804
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.9228 0.3359 0.508 0.176 0.316
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.8754 0.3488 0.532 0.124 0.344
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.5791 0.6417 0.168 0.048 0.784
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 3 0.6659 0.2123 0.460 0.008 0.532
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 3 0.5639 0.6257 0.232 0.016 0.752
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.8038 0.4731 0.620 0.100 0.280
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.4390 0.6133 0.840 0.012 0.148
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.3573 0.6158 0.876 0.004 0.120
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0475 0.5984 0.992 0.004 0.004
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.3879 0.9033 0.000 0.848 0.152
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.6603 0.5301 0.332 0.020 0.648
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.6204 0.1767 0.576 0.000 0.424
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.6490 0.4950 0.360 0.012 0.628
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.6225 0.1487 0.568 0.000 0.432
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.6460 0.3062 0.440 0.004 0.556
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 1 0.9228 0.3359 0.508 0.176 0.316
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.9228 0.3359 0.508 0.176 0.316
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0424 0.6010 0.992 0.000 0.008
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.7001 0.3362 0.588 0.024 0.388
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.6448 0.4661 0.656 0.016 0.328
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2845 0.6164 0.920 0.012 0.068
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0661 0.6004 0.988 0.004 0.008
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.2280 0.6129 0.940 0.008 0.052
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.6301 0.6056 0.260 0.028 0.712
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.6984 0.2469 0.560 0.020 0.420
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.5659 0.5671 0.740 0.012 0.248
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.6796 0.3935 0.612 0.020 0.368
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.8075 0.4771 0.620 0.104 0.276
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.5053 0.6096 0.812 0.024 0.164
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.6793 0.0972 0.536 0.012 0.452
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.5780 0.6196 0.120 0.080 0.800
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3921 0.6165 0.872 0.016 0.112
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.7781 0.4134 0.664 0.116 0.220
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.6129 0.5543 0.324 0.008 0.668
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.3669 0.6067 0.064 0.040 0.896
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.6664 0.1269 0.528 0.008 0.464
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.8515 0.2568 0.476 0.092 0.432
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0475 0.5966 0.992 0.004 0.004
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.5497 0.6089 0.804 0.048 0.148
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.4007 0.6206 0.084 0.036 0.880
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.8038 0.4731 0.620 0.100 0.280
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.6307 0.4695 0.660 0.012 0.328
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.4802 0.6396 0.156 0.020 0.824
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.3998 0.5970 0.060 0.056 0.884
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.6647 0.2244 0.452 0.008 0.540
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0475 0.5966 0.992 0.004 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1399 0.6051 0.968 0.004 0.028
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.6379 0.4890 0.368 0.008 0.624
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0237 0.5966 0.996 0.004 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5968 0.3414 0.636 0.000 0.364
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.7601 0.2217 0.540 0.044 0.416
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.6509 0.0408 0.524 0.004 0.472
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.8472 0.4836 0.228 0.160 0.612
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.6434 0.4404 0.380 0.008 0.612
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0237 0.5966 0.996 0.004 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.7782 0.4073 0.652 0.100 0.248
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.6662 0.5987 0.252 0.044 0.704
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.5690 0.5254 0.708 0.004 0.288
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.3998 0.5960 0.060 0.056 0.884
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.6647 0.2668 0.452 0.008 0.540
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.6126 0.4156 0.400 0.000 0.600
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.6359 0.4861 0.364 0.008 0.628
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.5873 0.5688 0.312 0.004 0.684
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.3879 0.9033 0.000 0.848 0.152
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6195 0.5323 0.704 0.020 0.276
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.5831 0.6004 0.284 0.008 0.708
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.6617 0.2171 0.556 0.008 0.436
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.6209 0.4781 0.368 0.004 0.628
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.9228 0.3359 0.508 0.176 0.316
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.6944 0.1839 0.468 0.016 0.516
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.6483 0.1461 0.544 0.004 0.452
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.6584 0.4671 0.380 0.012 0.608
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0475 0.5966 0.992 0.004 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.6396 0.4821 0.664 0.016 0.320
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.6680 0.1017 0.484 0.008 0.508
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2356 0.6159 0.928 0.000 0.072
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.222 0.50611 0.924 0.000 0.016 0.060
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.576 0.25786 0.452 0.000 0.520 0.028
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.506 0.56310 0.732 0.000 0.224 0.044
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.187 0.47234 0.928 0.000 0.000 0.072
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 4 0.543 0.70281 0.288 0.020 0.012 0.680
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.198 0.47676 0.928 0.000 0.004 0.068
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.593 0.19681 0.464 0.000 0.500 0.036
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.563 0.60529 0.724 0.000 0.140 0.136
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.721 0.46368 0.552 0.008 0.304 0.136
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.553 0.34816 0.616 0.000 0.356 0.028
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.579 0.47972 0.356 0.004 0.608 0.032
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.688 0.49756 0.168 0.080 0.680 0.072
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 4 0.523 0.71181 0.412 0.004 0.004 0.580
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.458 0.68675 0.000 0.668 0.332 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.573 0.26710 0.600 0.000 0.364 0.036
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.585 -0.07088 0.508 0.000 0.460 0.032
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 4 0.523 0.71181 0.412 0.004 0.004 0.580
#> BD213FB6-2DB9-4955-B061-4CD47604176B 4 0.523 0.71181 0.412 0.004 0.004 0.580
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.387 0.39988 0.000 0.208 0.788 0.004
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.529 0.61439 0.252 0.016 0.712 0.020
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.467 0.57100 0.752 0.000 0.220 0.028
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.803 0.20173 0.432 0.012 0.340 0.216
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.522 0.60127 0.272 0.012 0.700 0.016
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.185 0.50218 0.940 0.000 0.012 0.048
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.467 0.57100 0.752 0.000 0.220 0.028
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.273 0.57384 0.008 0.092 0.896 0.004
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.571 0.08542 0.704 0.008 0.060 0.228
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.659 0.49164 0.292 0.012 0.616 0.080
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.583 0.46275 0.368 0.004 0.596 0.032
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.570 -0.13639 0.492 0.000 0.484 0.024
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.536 0.48619 0.676 0.000 0.288 0.036
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.575 0.00693 0.532 0.000 0.440 0.028
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.347 0.65591 0.092 0.024 0.872 0.012
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.255 0.50704 0.912 0.000 0.028 0.060
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.205 0.58068 0.000 0.072 0.924 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 3 0.233 0.57024 0.000 0.088 0.908 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 4 0.539 0.73396 0.344 0.012 0.008 0.636
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.711 0.28135 0.520 0.012 0.096 0.372
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.416 0.34723 0.000 0.240 0.756 0.004
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.533 0.52011 0.332 0.000 0.644 0.024
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.396 0.60610 0.832 0.000 0.124 0.044
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.271 0.54289 0.000 0.112 0.884 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.565 0.51430 0.672 0.000 0.272 0.056
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.576 0.04645 0.524 0.000 0.448 0.028
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.570 0.16989 0.484 0.000 0.492 0.024
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.696 0.29147 0.524 0.008 0.092 0.376
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.565 0.04168 0.544 0.000 0.432 0.024
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.465 0.62470 0.232 0.004 0.748 0.016
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.715 0.33744 0.540 0.008 0.332 0.120
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.495 0.60744 0.776 0.000 0.124 0.100
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.531 0.55920 0.312 0.004 0.664 0.020
#> 4336561F-B08B-401A-A016-28DD31DA97DA 3 0.565 0.32409 0.432 0.000 0.544 0.024
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.711 0.28135 0.520 0.012 0.096 0.372
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 3 0.223 0.60443 0.008 0.064 0.924 0.004
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.590 0.29967 0.432 0.000 0.532 0.036
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.359 0.66173 0.104 0.032 0.860 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.574 0.22720 0.432 0.000 0.540 0.028
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.579 0.34593 0.416 0.004 0.556 0.024
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.553 0.40854 0.656 0.000 0.304 0.040
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.508 0.63479 0.180 0.012 0.764 0.044
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.550 0.59893 0.208 0.020 0.040 0.732
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.601 -0.12526 0.484 0.000 0.476 0.040
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.506 0.60439 0.272 0.004 0.704 0.020
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.282 0.65372 0.076 0.020 0.900 0.004
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.208 0.79581 0.000 0.916 0.084 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.602 0.59988 0.712 0.012 0.168 0.108
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.688 0.49756 0.168 0.080 0.680 0.072
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.504 0.62688 0.116 0.084 0.788 0.012
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 4 0.559 0.69957 0.284 0.028 0.012 0.676
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.700 0.32277 0.520 0.000 0.352 0.128
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.655 0.40560 0.588 0.004 0.324 0.084
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.236 0.64245 0.028 0.036 0.928 0.008
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.213 0.58109 0.000 0.076 0.920 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.460 0.62631 0.256 0.008 0.732 0.004
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.570 0.52502 0.336 0.004 0.628 0.032
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.594 0.24312 0.460 0.004 0.508 0.028
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.570 -0.13639 0.492 0.000 0.484 0.024
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.696 0.29147 0.524 0.008 0.092 0.376
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.589 0.57567 0.696 0.000 0.188 0.116
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.222 0.50611 0.924 0.000 0.016 0.060
#> A47F637F-EB28-4108-98C8-FB4725310FA0 4 0.539 0.73396 0.344 0.012 0.008 0.636
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#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.220 0.57717 0.000 0.080 0.916 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.568 0.30547 0.404 0.000 0.568 0.028
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.187 0.47234 0.928 0.000 0.000 0.072
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.255 0.50704 0.912 0.000 0.028 0.060
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.505 0.56022 0.316 0.000 0.668 0.016
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.156 0.48448 0.944 0.000 0.000 0.056
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.563 0.20627 0.588 0.000 0.384 0.028
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.745 0.24821 0.492 0.012 0.368 0.128
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.608 -0.12803 0.480 0.000 0.476 0.044
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.849 0.22136 0.128 0.080 0.488 0.304
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.517 0.52643 0.320 0.000 0.660 0.020
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.164 0.47928 0.940 0.000 0.000 0.060
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 4 0.697 0.65708 0.376 0.004 0.104 0.516
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.583 0.60732 0.152 0.036 0.744 0.068
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.579 0.50970 0.656 0.000 0.284 0.060
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.220 0.57552 0.000 0.080 0.916 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.580 0.43519 0.384 0.004 0.584 0.028
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.554 0.52839 0.332 0.008 0.640 0.020
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.518 0.56433 0.308 0.004 0.672 0.016
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.426 0.63399 0.236 0.000 0.756 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.130 0.80072 0.000 0.964 0.020 0.016
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.589 0.57567 0.696 0.000 0.188 0.116
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.441 0.64079 0.232 0.008 0.756 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.685 0.15664 0.496 0.004 0.412 0.088
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.496 0.57166 0.300 0.000 0.684 0.016
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.550 0.59893 0.208 0.020 0.040 0.732
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.613 0.36410 0.400 0.000 0.548 0.052
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.577 0.00892 0.512 0.000 0.460 0.028
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.494 0.53654 0.316 0.000 0.672 0.012
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.187 0.47234 0.928 0.000 0.000 0.072
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.631 0.46804 0.628 0.004 0.288 0.080
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.665 0.19916 0.428 0.004 0.496 0.072
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.347 0.55393 0.868 0.000 0.068 0.064
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1202 0.483854 0.960 0.000 0.004 0.032 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.6927 -0.209492 0.288 0.000 0.004 0.336 0.372
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.6386 0.171603 0.556 0.000 0.024 0.304 0.116
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0798 0.473842 0.976 0.000 0.008 0.016 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3996 0.703680 0.228 0.012 0.752 0.008 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0912 0.478334 0.972 0.000 0.012 0.016 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.6941 -0.285044 0.304 0.000 0.004 0.324 0.368
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5469 0.345210 0.620 0.000 0.028 0.316 0.036
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.7547 0.048103 0.448 0.000 0.072 0.308 0.172
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6540 -0.218713 0.476 0.000 0.000 0.288 0.236
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.6495 0.088370 0.216 0.000 0.000 0.304 0.480
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.7077 0.337015 0.112 0.048 0.068 0.140 0.632
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.4663 0.733170 0.376 0.000 0.604 0.020 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4196 0.686853 0.000 0.640 0.000 0.004 0.356
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.6809 -0.239214 0.464 0.000 0.008 0.288 0.240
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.6814 -0.414650 0.348 0.000 0.000 0.348 0.304
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4576 0.732591 0.376 0.000 0.608 0.016 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4576 0.732591 0.376 0.000 0.608 0.016 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.3171 0.358121 0.000 0.176 0.000 0.008 0.816
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.5925 0.364084 0.148 0.004 0.000 0.244 0.604
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5533 0.269149 0.652 0.000 0.004 0.224 0.120
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.8203 0.239116 0.300 0.008 0.112 0.400 0.180
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.6187 0.294251 0.156 0.004 0.000 0.284 0.556
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1357 0.484024 0.948 0.000 0.004 0.048 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5533 0.269149 0.652 0.000 0.004 0.224 0.120
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.1717 0.499909 0.004 0.052 0.000 0.008 0.936
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5510 0.053410 0.652 0.000 0.164 0.184 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.7322 0.051125 0.180 0.004 0.036 0.340 0.440
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.6841 -0.002590 0.248 0.000 0.008 0.288 0.456
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.6826 -0.425465 0.336 0.000 0.000 0.332 0.332
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.6418 -0.019147 0.508 0.000 0.004 0.316 0.172
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.6804 -0.388864 0.368 0.000 0.000 0.332 0.300
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.3582 0.519811 0.080 0.008 0.000 0.072 0.840
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1547 0.479562 0.948 0.000 0.004 0.032 0.016
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1386 0.496449 0.000 0.032 0.000 0.016 0.952
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.1408 0.492919 0.000 0.044 0.000 0.008 0.948
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.4385 0.743399 0.312 0.004 0.672 0.012 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.7089 0.134113 0.392 0.004 0.248 0.348 0.008
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.3300 0.310613 0.000 0.204 0.000 0.004 0.792
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.6466 0.104033 0.164 0.000 0.004 0.360 0.472
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4294 0.425783 0.780 0.000 0.008 0.148 0.064
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.2300 0.468971 0.000 0.072 0.000 0.024 0.904
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.6802 0.095510 0.500 0.004 0.028 0.344 0.124
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.6933 0.400807 0.352 0.000 0.004 0.356 0.288
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.6958 -0.271049 0.320 0.000 0.004 0.332 0.344
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.6947 0.141475 0.400 0.000 0.248 0.344 0.008
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.6783 -0.378077 0.380 0.000 0.000 0.336 0.284
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.5654 0.379088 0.148 0.000 0.000 0.224 0.628
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.7945 -0.245675 0.372 0.004 0.080 0.348 0.196
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5059 0.407466 0.704 0.000 0.020 0.224 0.052
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.6399 0.174322 0.160 0.000 0.004 0.340 0.496
#> 4336561F-B08B-401A-A016-28DD31DA97DA 5 0.6744 -0.204738 0.260 0.000 0.000 0.356 0.384
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.7089 0.134113 0.392 0.004 0.248 0.348 0.008
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.1836 0.511143 0.000 0.032 0.000 0.036 0.932
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 5 0.6908 -0.275563 0.272 0.000 0.004 0.360 0.364
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.4317 0.519227 0.060 0.020 0.000 0.128 0.792
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.7024 0.280443 0.280 0.000 0.008 0.356 0.356
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.6856 0.206806 0.248 0.000 0.004 0.380 0.368
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.6131 -0.044047 0.564 0.000 0.000 0.228 0.208
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.6206 0.383863 0.068 0.004 0.036 0.304 0.588
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.5144 0.582428 0.112 0.016 0.724 0.148 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.7055 0.350642 0.320 0.000 0.008 0.352 0.320
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.6128 0.301944 0.176 0.000 0.004 0.240 0.580
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.3730 0.508705 0.036 0.004 0.000 0.152 0.808
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2124 0.798691 0.000 0.900 0.000 0.004 0.096
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.6207 0.369698 0.636 0.000 0.064 0.220 0.080
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.7077 0.337015 0.112 0.048 0.068 0.140 0.632
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.5136 0.469827 0.072 0.048 0.000 0.136 0.744
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.4158 0.699893 0.224 0.020 0.748 0.008 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.7549 -0.159596 0.424 0.000 0.052 0.296 0.228
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.7018 -0.006362 0.420 0.004 0.040 0.420 0.116
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.2733 0.526029 0.016 0.016 0.000 0.080 0.888
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.1444 0.498805 0.000 0.040 0.000 0.012 0.948
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.5819 0.388044 0.144 0.000 0.004 0.232 0.620
#> F850770E-CE4A-43E8-A4FB-154184CA8155 5 0.6603 0.085396 0.216 0.000 0.004 0.292 0.488
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.6924 -0.213937 0.304 0.000 0.004 0.308 0.384
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.6826 -0.425465 0.336 0.000 0.000 0.332 0.332
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.6947 0.141475 0.400 0.000 0.248 0.344 0.008
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.6072 0.193390 0.528 0.000 0.024 0.380 0.068
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1202 0.483854 0.960 0.000 0.004 0.032 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.4385 0.743399 0.312 0.004 0.672 0.012 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.6772 -0.369416 0.388 0.000 0.000 0.332 0.280
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.6825 -0.069607 0.216 0.000 0.008 0.340 0.436
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.4576 0.732591 0.376 0.000 0.608 0.016 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.8348 0.010272 0.228 0.000 0.380 0.200 0.192
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.5144 0.582428 0.112 0.016 0.724 0.148 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.7272 -0.089603 0.468 0.000 0.040 0.276 0.216
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.4080 0.452371 0.800 0.000 0.012 0.136 0.052
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0162 0.475751 0.996 0.000 0.004 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.6845 -0.053804 0.428 0.004 0.040 0.432 0.096
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.6812 0.001352 0.440 0.000 0.032 0.404 0.124
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0798 0.473842 0.976 0.000 0.008 0.016 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0912 0.479294 0.972 0.000 0.012 0.016 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.4166 0.693136 0.000 0.648 0.000 0.004 0.348
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.3861 0.752494 0.000 0.728 0.000 0.008 0.264
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.3436 0.527034 0.056 0.012 0.000 0.080 0.852
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4783 0.419526 0.724 0.000 0.100 0.176 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.6263 0.203262 0.192 0.000 0.000 0.276 0.532
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.7629 -0.315940 0.368 0.000 0.052 0.348 0.232
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.5055 0.460875 0.096 0.004 0.000 0.196 0.704
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 5 0.6102 0.321025 0.152 0.004 0.000 0.272 0.572
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.1364 0.501740 0.000 0.036 0.000 0.012 0.952
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.6105 0.199582 0.532 0.000 0.024 0.372 0.072
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.1579 0.482403 0.944 0.000 0.024 0.032 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.6934 -0.368066 0.372 0.000 0.004 0.296 0.328
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.7034 -0.369174 0.368 0.000 0.008 0.292 0.332
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.3213 0.475860 0.836 0.000 0.004 0.144 0.016
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.6806 0.267536 0.296 0.000 0.000 0.352 0.352
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.2629 0.793306 0.000 0.860 0.000 0.004 0.136
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.4196 0.681148 0.000 0.640 0.000 0.004 0.356
#> C4A001BB-F700-4830-B6F1-83E7FC938865 5 0.6875 -0.240686 0.256 0.000 0.004 0.364 0.376
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#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0898 0.475465 0.972 0.000 0.008 0.020 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1547 0.479562 0.948 0.000 0.004 0.032 0.016
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 5 0.6333 0.175531 0.196 0.000 0.000 0.288 0.516
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0324 0.477652 0.992 0.000 0.004 0.004 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.6815 -0.297939 0.432 0.000 0.004 0.304 0.260
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.7714 0.106807 0.364 0.008 0.060 0.400 0.168
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.7131 0.365471 0.308 0.000 0.012 0.364 0.316
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.7288 -0.279038 0.008 0.040 0.216 0.516 0.220
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.6532 0.116101 0.192 0.000 0.004 0.312 0.492
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0162 0.475751 0.996 0.000 0.004 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.6446 0.679556 0.356 0.000 0.520 0.032 0.092
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.6524 0.364672 0.080 0.008 0.064 0.228 0.620
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.6380 0.062268 0.548 0.000 0.008 0.268 0.176
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1549 0.500731 0.000 0.040 0.000 0.016 0.944
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 5 0.6797 -0.052444 0.260 0.000 0.004 0.296 0.440
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.6352 0.121869 0.176 0.000 0.000 0.336 0.488
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.6337 0.205959 0.164 0.000 0.004 0.308 0.524
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.5580 0.391126 0.132 0.000 0.000 0.236 0.632
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0290 0.805292 0.000 0.992 0.000 0.000 0.008
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6072 0.193390 0.528 0.000 0.024 0.380 0.068
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.5624 0.419463 0.140 0.000 0.004 0.208 0.648
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.7341 0.349345 0.336 0.000 0.028 0.384 0.252
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.6188 0.215221 0.160 0.000 0.000 0.316 0.524
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.5144 0.582428 0.112 0.016 0.724 0.148 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.6953 -0.187152 0.248 0.000 0.008 0.352 0.392
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.6940 0.412932 0.340 0.000 0.004 0.360 0.296
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.6487 0.169276 0.220 0.000 0.004 0.256 0.520
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0798 0.473842 0.976 0.000 0.008 0.016 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.6702 0.069516 0.456 0.004 0.036 0.416 0.088
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.7282 0.356722 0.264 0.000 0.024 0.396 0.316
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3187 0.470559 0.860 0.000 0.008 0.096 0.036
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1349 0.656875 0.940 0.000 0.000 0.056 0.000 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.5983 0.576355 0.172 0.000 0.020 0.532 0.276 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.6337 0.166961 0.460 0.000 0.024 0.404 0.060 0.052
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0820 0.637494 0.972 0.000 0.012 0.016 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.4041 0.667929 0.160 0.008 0.772 0.008 0.000 0.052
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1074 0.629957 0.960 0.000 0.000 0.012 0.000 0.028
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.6378 0.586091 0.196 0.000 0.012 0.496 0.280 0.016
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5977 0.384398 0.516 0.000 0.020 0.332 0.004 0.128
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.7862 0.037355 0.324 0.000 0.048 0.360 0.100 0.168
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.6047 0.430363 0.360 0.000 0.000 0.464 0.160 0.016
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.5564 0.463376 0.112 0.000 0.008 0.504 0.376 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.6973 0.483788 0.080 0.036 0.080 0.104 0.624 0.076
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3741 0.684332 0.320 0.000 0.672 0.008 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3807 0.659100 0.000 0.628 0.000 0.000 0.368 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.6249 0.495685 0.356 0.000 0.024 0.448 0.172 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.5934 0.630097 0.224 0.000 0.016 0.564 0.192 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3652 0.683882 0.324 0.000 0.672 0.004 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3652 0.683882 0.324 0.000 0.672 0.004 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.2558 0.577818 0.000 0.156 0.000 0.004 0.840 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.5768 0.102113 0.060 0.000 0.016 0.384 0.516 0.024
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5438 0.333675 0.596 0.000 0.012 0.296 0.088 0.008
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.7735 0.026331 0.136 0.000 0.068 0.464 0.108 0.224
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.5700 -0.150077 0.064 0.000 0.008 0.436 0.468 0.024
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2113 0.650296 0.896 0.000 0.008 0.092 0.000 0.004
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5438 0.333675 0.596 0.000 0.012 0.296 0.088 0.008
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.1151 0.678605 0.000 0.032 0.000 0.012 0.956 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.6352 0.156525 0.556 0.000 0.124 0.088 0.000 0.232
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.7331 0.217339 0.080 0.000 0.072 0.460 0.308 0.080
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.6153 0.499308 0.140 0.000 0.012 0.476 0.360 0.012
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.5921 0.626692 0.204 0.000 0.012 0.556 0.224 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.6137 0.207509 0.384 0.000 0.012 0.484 0.084 0.036
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.5644 0.622859 0.232 0.000 0.008 0.572 0.188 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.3415 0.642905 0.028 0.000 0.000 0.152 0.808 0.012
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1471 0.648875 0.932 0.000 0.000 0.064 0.004 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.0976 0.675655 0.000 0.016 0.000 0.008 0.968 0.008
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.0922 0.673199 0.000 0.024 0.000 0.004 0.968 0.004
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3876 0.704839 0.244 0.000 0.728 0.012 0.000 0.016
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 6 0.6079 0.810177 0.208 0.000 0.020 0.248 0.000 0.524
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.2664 0.535271 0.000 0.184 0.000 0.000 0.816 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.5268 0.473283 0.060 0.000 0.016 0.572 0.348 0.004
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4319 0.598225 0.728 0.000 0.024 0.216 0.028 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.2045 0.659189 0.000 0.052 0.000 0.016 0.916 0.016
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.6770 0.121990 0.424 0.000 0.036 0.404 0.056 0.080
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.6294 0.618532 0.224 0.000 0.008 0.548 0.188 0.032
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.6129 0.589603 0.204 0.000 0.024 0.524 0.248 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 6 0.5643 0.810665 0.216 0.000 0.000 0.248 0.000 0.536
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.5774 0.622526 0.240 0.000 0.012 0.560 0.188 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.5221 0.083689 0.064 0.000 0.008 0.380 0.544 0.004
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.7362 0.291763 0.196 0.000 0.032 0.496 0.112 0.164
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5522 0.517364 0.620 0.000 0.012 0.256 0.016 0.096
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.5001 0.398938 0.044 0.000 0.000 0.560 0.380 0.016
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.5442 0.588798 0.136 0.000 0.000 0.588 0.268 0.008
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 6 0.6079 0.810177 0.208 0.000 0.020 0.248 0.000 0.524
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.2145 0.685636 0.000 0.020 0.008 0.056 0.912 0.004
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.5794 0.602551 0.144 0.000 0.004 0.596 0.232 0.024
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.3550 0.580995 0.008 0.004 0.000 0.232 0.752 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.6928 0.469884 0.180 0.000 0.028 0.520 0.216 0.056
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.5904 0.596758 0.140 0.000 0.012 0.580 0.252 0.016
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.5662 -0.323843 0.436 0.000 0.004 0.428 0.132 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.6346 0.352699 0.012 0.000 0.060 0.328 0.516 0.084
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.4638 0.446997 0.020 0.012 0.520 0.000 0.000 0.448
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.6095 0.630784 0.196 0.000 0.020 0.572 0.200 0.012
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.5630 -0.231253 0.088 0.000 0.008 0.420 0.476 0.008
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.3962 0.633176 0.000 0.000 0.008 0.196 0.752 0.044
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2006 0.792359 0.000 0.892 0.000 0.000 0.104 0.004
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.6462 0.438420 0.544 0.000 0.032 0.280 0.036 0.108
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.6973 0.483788 0.080 0.036 0.080 0.104 0.624 0.076
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.5285 0.600868 0.020 0.028 0.008 0.184 0.700 0.060
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.4192 0.665483 0.156 0.016 0.768 0.008 0.000 0.052
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.7513 0.295516 0.312 0.000 0.008 0.372 0.156 0.152
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.7235 -0.149291 0.352 0.000 0.076 0.424 0.040 0.108
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.2362 0.662500 0.000 0.004 0.000 0.136 0.860 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0909 0.676823 0.000 0.020 0.000 0.012 0.968 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.5191 0.053384 0.056 0.000 0.000 0.396 0.532 0.016
#> F850770E-CE4A-43E8-A4FB-154184CA8155 4 0.6140 0.458311 0.112 0.000 0.016 0.468 0.388 0.016
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.6130 0.569391 0.180 0.000 0.024 0.512 0.284 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.5921 0.626692 0.204 0.000 0.012 0.556 0.224 0.004
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 6 0.5643 0.810665 0.216 0.000 0.000 0.248 0.000 0.536
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.6330 0.210719 0.428 0.000 0.028 0.420 0.016 0.108
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1349 0.656875 0.940 0.000 0.000 0.056 0.000 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.3876 0.704839 0.244 0.000 0.728 0.012 0.000 0.016
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.5678 0.618379 0.244 0.000 0.008 0.564 0.184 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.6172 0.516001 0.112 0.000 0.028 0.516 0.332 0.012
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.3652 0.683882 0.324 0.000 0.672 0.004 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.7258 -0.021600 0.176 0.000 0.412 0.272 0.140 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.4638 0.446997 0.020 0.012 0.520 0.000 0.000 0.448
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.6907 0.290477 0.340 0.000 0.028 0.456 0.124 0.052
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.4278 0.622856 0.740 0.000 0.004 0.200 0.032 0.024
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0260 0.637485 0.992 0.000 0.000 0.008 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.7150 -0.161735 0.360 0.000 0.072 0.424 0.036 0.108
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 4 0.7062 -0.060203 0.348 0.000 0.064 0.448 0.044 0.096
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0909 0.639723 0.968 0.000 0.012 0.020 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.1341 0.632648 0.948 0.000 0.000 0.024 0.000 0.028
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.3782 0.668949 0.000 0.636 0.000 0.000 0.360 0.004
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.3586 0.745911 0.000 0.712 0.000 0.004 0.280 0.004
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.3123 0.657348 0.012 0.004 0.000 0.152 0.824 0.008
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.5543 0.431437 0.644 0.000 0.040 0.140 0.000 0.176
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.5572 0.382150 0.092 0.000 0.004 0.472 0.424 0.008
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.6898 0.413551 0.204 0.000 0.008 0.524 0.128 0.136
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.5421 0.507367 0.052 0.000 0.008 0.264 0.632 0.044
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 5 0.5991 -0.092466 0.064 0.000 0.020 0.416 0.472 0.028
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.1401 0.680743 0.000 0.020 0.004 0.028 0.948 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.6400 0.220480 0.432 0.000 0.028 0.412 0.020 0.108
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.1933 0.634256 0.920 0.000 0.004 0.032 0.000 0.044
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.6271 0.572302 0.256 0.000 0.020 0.480 0.244 0.000
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#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.6887 0.404551 0.208 0.000 0.008 0.524 0.124 0.136
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.6194 0.216911 0.504 0.000 0.008 0.356 0.072 0.060
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 4 0.7364 0.275871 0.276 0.000 0.036 0.464 0.096 0.128
#> E8D127A4-72BB-4418-B799-76147F40BDC7 6 0.5643 0.810665 0.216 0.000 0.000 0.248 0.000 0.536
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.5606 0.485828 0.604 0.000 0.008 0.268 0.020 0.100
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.6562 0.595476 0.156 0.000 0.004 0.552 0.200 0.088
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.3535 0.663153 0.004 0.052 0.000 0.144 0.800 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.5543 0.431437 0.644 0.000 0.040 0.140 0.000 0.176
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.3876 0.704839 0.244 0.000 0.728 0.012 0.000 0.016
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.5034 -0.119028 0.052 0.000 0.000 0.464 0.476 0.008
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.0909 0.678840 0.000 0.012 0.000 0.020 0.968 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 4 0.6913 0.447539 0.248 0.000 0.016 0.460 0.236 0.040
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.7248 -0.034167 0.172 0.000 0.412 0.276 0.140 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0909 0.639723 0.968 0.000 0.012 0.020 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.5371 0.353860 0.616 0.000 0.008 0.164 0.000 0.212
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.1957 0.682826 0.000 0.008 0.008 0.072 0.912 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 6 0.6296 0.809418 0.208 0.000 0.032 0.252 0.000 0.508
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.6733 -0.107379 0.404 0.000 0.036 0.428 0.056 0.076
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.3786 0.558186 0.004 0.016 0.000 0.240 0.736 0.004
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.1237 0.678665 0.000 0.020 0.000 0.020 0.956 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.6966 0.404654 0.180 0.000 0.024 0.492 0.252 0.052
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0909 0.640877 0.968 0.000 0.012 0.020 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1471 0.648875 0.932 0.000 0.000 0.064 0.004 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.5596 0.406281 0.096 0.000 0.004 0.484 0.408 0.008
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0603 0.642969 0.980 0.000 0.004 0.016 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.6185 0.546251 0.320 0.000 0.024 0.484 0.172 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.7797 -0.011313 0.284 0.000 0.076 0.420 0.084 0.136
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.5983 0.612426 0.156 0.000 0.008 0.604 0.196 0.036
#> 291C6B0B-7866-409D-921F-13C16550980B 6 0.7583 0.012455 0.000 0.024 0.168 0.204 0.152 0.452
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 4 0.6277 0.307168 0.076 0.000 0.016 0.492 0.368 0.048
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0405 0.636269 0.988 0.000 0.000 0.008 0.000 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.5493 0.617784 0.304 0.000 0.584 0.028 0.084 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.7076 0.438815 0.044 0.012 0.064 0.220 0.552 0.108
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.6475 0.165082 0.416 0.000 0.012 0.420 0.108 0.044
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1003 0.678888 0.000 0.020 0.000 0.016 0.964 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.6119 0.519412 0.152 0.000 0.008 0.484 0.344 0.012
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 4 0.5659 0.431634 0.076 0.000 0.004 0.524 0.372 0.024
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.5170 0.374568 0.048 0.000 0.000 0.532 0.400 0.020
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.4898 0.006552 0.044 0.000 0.000 0.420 0.528 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0260 0.798301 0.000 0.992 0.000 0.000 0.008 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.6330 0.210719 0.428 0.000 0.028 0.420 0.016 0.108
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.5277 0.170441 0.056 0.000 0.004 0.372 0.552 0.016
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.6935 0.464260 0.176 0.000 0.016 0.540 0.144 0.124
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.4983 0.378317 0.052 0.000 0.000 0.536 0.404 0.008
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.4638 0.446997 0.020 0.012 0.520 0.000 0.000 0.448
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.6167 0.574467 0.116 0.000 0.000 0.536 0.292 0.056
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.6594 0.616729 0.224 0.000 0.016 0.524 0.200 0.036
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.6082 0.245136 0.112 0.000 0.012 0.444 0.416 0.016
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0909 0.639339 0.968 0.000 0.012 0.020 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.6998 -0.199750 0.384 0.000 0.064 0.416 0.032 0.104
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.6240 0.581071 0.104 0.000 0.004 0.588 0.212 0.092
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3261 0.648927 0.820 0.000 0.024 0.144 0.012 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 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 0.738 0.872 0.947 0.4297 0.575 0.575
#> 3 3 0.514 0.748 0.853 0.4116 0.641 0.454
#> 4 4 0.466 0.464 0.687 0.1475 0.782 0.532
#> 5 5 0.555 0.420 0.568 0.0947 0.733 0.353
#> 6 6 0.676 0.706 0.803 0.0582 0.910 0.641
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9477 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9477 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9477 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9477 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.6973 0.7412 0.812 0.188
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9477 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9477 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9477 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9477 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9477 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.9477 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.1414 0.9098 0.020 0.980
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6973 0.7412 0.812 0.188
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9233 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9477 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0672 0.9418 0.992 0.008
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.9477 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9477 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9233 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.8327 0.6549 0.264 0.736
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9477 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9477 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.9460 0.4586 0.364 0.636
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9477 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9477 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9233 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9477 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.6438 0.7841 0.836 0.164
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0938 0.9383 0.988 0.012
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9477 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9477 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9477 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.6531 0.7831 0.168 0.832
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9477 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9233 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9233 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.6973 0.7412 0.812 0.188
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9477 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9233 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9477 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9233 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9477 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9233 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9233 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9477 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9477 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9477 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0376 0.9448 0.996 0.004
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9477 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0938 0.9388 0.988 0.012
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9477 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9233 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9477 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.9248 0.4842 0.660 0.340
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9477 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.7528 0.7145 0.784 0.216
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9233 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9477 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9233 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.9635 0.3628 0.612 0.388
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9477 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9233 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9477 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.9922 0.1727 0.552 0.448
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.7056 0.7353 0.808 0.192
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9477 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9233 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.9661 0.3517 0.608 0.392
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9233 0.000 1.000
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#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.9129 0.5111 0.672 0.328
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9477 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2261 0.88327 0.932 0.000 0.068
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3412 0.77118 0.124 0.000 0.876
#> 1562153C-AC2E-4094-A936-75CC580367A9 3 0.6299 0.18564 0.476 0.000 0.524
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2261 0.88172 0.932 0.000 0.068
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.4609 0.83444 0.844 0.028 0.128
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0747 0.88738 0.984 0.000 0.016
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.5363 0.68503 0.276 0.000 0.724
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1411 0.88751 0.964 0.000 0.036
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4178 0.75119 0.828 0.000 0.172
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.5678 0.63284 0.316 0.000 0.684
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.3267 0.78488 0.116 0.000 0.884
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1337 0.75572 0.012 0.016 0.972
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.4811 0.82904 0.828 0.024 0.148
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0592 0.85742 0.000 0.988 0.012
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4062 0.81804 0.836 0.000 0.164
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.5138 0.71622 0.252 0.000 0.748
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.3619 0.85122 0.864 0.000 0.136
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.3918 0.84725 0.856 0.004 0.140
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4605 0.80032 0.000 0.796 0.204
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.4527 0.77778 0.052 0.088 0.860
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2356 0.88053 0.928 0.000 0.072
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.6295 -0.13361 0.528 0.000 0.472
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.4458 0.77971 0.056 0.080 0.864
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2066 0.88495 0.940 0.000 0.060
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.3267 0.86251 0.884 0.000 0.116
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4504 0.80466 0.000 0.804 0.196
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.2590 0.86323 0.924 0.004 0.072
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.4062 0.77958 0.164 0.000 0.836
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.4931 0.80133 0.784 0.004 0.212
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.5216 0.68946 0.260 0.000 0.740
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.5926 0.40180 0.644 0.000 0.356
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.2878 0.79340 0.096 0.000 0.904
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.4449 0.76491 0.040 0.100 0.860
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2165 0.88423 0.936 0.000 0.064
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.5016 0.77416 0.000 0.760 0.240
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.2959 0.83794 0.000 0.900 0.100
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.4811 0.82904 0.828 0.024 0.148
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.1267 0.88524 0.972 0.004 0.024
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.4504 0.80466 0.000 0.804 0.196
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.2711 0.80053 0.088 0.000 0.912
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.85697 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2448 0.87928 0.924 0.000 0.076
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.5291 0.75246 0.000 0.732 0.268
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.85697 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.5098 0.69190 0.752 0.000 0.248
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.6140 0.47552 0.404 0.000 0.596
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.2959 0.79127 0.100 0.000 0.900
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5365 0.61906 0.744 0.004 0.252
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.5058 0.72491 0.244 0.000 0.756
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.2261 0.79878 0.068 0.000 0.932
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.6274 0.24953 0.456 0.000 0.544
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.85697 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.1529 0.88712 0.960 0.000 0.040
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.4058 0.79327 0.076 0.044 0.880
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2878 0.88172 0.904 0.000 0.096
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.3502 0.84403 0.896 0.084 0.020
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.5835 0.64588 0.000 0.660 0.340
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.2448 0.86021 0.924 0.000 0.076
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.4605 0.65566 0.000 0.204 0.796
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.4194 0.79207 0.064 0.060 0.876
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.5948 0.43330 0.640 0.000 0.360
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.85697 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3619 0.85131 0.864 0.000 0.136
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.3998 0.79299 0.060 0.056 0.884
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.3406 0.84274 0.904 0.028 0.068
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.5785 0.55147 0.332 0.000 0.668
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.6895 0.60148 0.072 0.212 0.716
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.4095 0.79312 0.064 0.056 0.880
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0237 0.85830 0.000 0.996 0.004
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0892 0.88595 0.980 0.000 0.020
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.6095 -0.00468 0.000 0.392 0.608
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.6180 0.46895 0.000 0.584 0.416
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1964 0.82496 0.000 0.944 0.056
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.1964 0.87183 0.944 0.000 0.056
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.5465 0.67196 0.288 0.000 0.712
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.3879 0.71267 0.000 0.152 0.848
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.6008 0.58732 0.000 0.628 0.372
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.2537 0.79475 0.080 0.000 0.920
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.5327 0.70630 0.272 0.000 0.728
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.85697 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.2537 0.79475 0.080 0.000 0.920
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.5058 0.68726 0.244 0.000 0.756
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.1267 0.88524 0.972 0.004 0.024
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.2959 0.85111 0.900 0.000 0.100
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1289 0.88861 0.968 0.000 0.032
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.4811 0.82904 0.828 0.024 0.148
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 3 0.5733 0.55887 0.324 0.000 0.676
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.4194 0.79207 0.064 0.060 0.876
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.3918 0.84725 0.856 0.004 0.140
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.6026 0.53864 0.624 0.000 0.376
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.2680 0.85444 0.924 0.008 0.068
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0892 0.88595 0.980 0.000 0.020
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1411 0.88815 0.964 0.000 0.036
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1289 0.88886 0.968 0.000 0.032
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.4842 0.69540 0.776 0.000 0.224
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 3 0.5016 0.69119 0.240 0.000 0.760
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2448 0.88093 0.924 0.000 0.076
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0747 0.88738 0.984 0.000 0.016
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0237 0.85830 0.000 0.996 0.004
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.85697 0.000 1.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0237 0.85830 0.000 0.996 0.004
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 3 0.5363 0.53078 0.000 0.276 0.724
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.1031 0.88799 0.976 0.000 0.024
#> D8985489-B182-4538-A0C2-59649231B71F 3 0.4458 0.77971 0.056 0.080 0.864
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.6299 -0.12944 0.524 0.000 0.476
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.4379 0.78706 0.060 0.072 0.868
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 3 0.6102 0.65821 0.320 0.008 0.672
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.5968 0.60319 0.000 0.636 0.364
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.6225 0.09319 0.568 0.000 0.432
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.1031 0.88589 0.976 0.000 0.024
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.2448 0.88093 0.924 0.000 0.076
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.85697 0.000 1.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.3192 0.76177 0.112 0.000 0.888
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.1529 0.88753 0.960 0.000 0.040
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 3 0.4346 0.75076 0.184 0.000 0.816
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0237 0.85830 0.000 0.996 0.004
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0237 0.85830 0.000 0.996 0.004
#> C4A001BB-F700-4830-B6F1-83E7FC938865 3 0.5650 0.66731 0.312 0.000 0.688
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.2356 0.79811 0.072 0.000 0.928
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.1411 0.88751 0.964 0.000 0.036
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.2448 0.87928 0.924 0.000 0.076
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0892 0.88595 0.980 0.000 0.020
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.2356 0.88689 0.928 0.000 0.072
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 3 0.4165 0.79183 0.076 0.048 0.876
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.2448 0.88093 0.924 0.000 0.076
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 3 0.4449 0.76491 0.040 0.100 0.860
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.2356 0.88215 0.928 0.000 0.072
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.85697 0.000 1.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.2165 0.88285 0.936 0.000 0.064
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.1031 0.88589 0.976 0.000 0.024
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0237 0.85830 0.000 0.996 0.004
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 3 0.2711 0.80030 0.088 0.000 0.912
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.85697 0.000 1.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.5431 0.73271 0.000 0.716 0.284
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.2448 0.87928 0.924 0.000 0.076
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 3 0.4291 0.75281 0.180 0.000 0.820
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 3 0.3454 0.79719 0.104 0.008 0.888
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 3 0.3755 0.79000 0.120 0.008 0.872
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 3 0.3899 0.79270 0.056 0.056 0.888
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 3 0.6305 0.22903 0.484 0.000 0.516
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 3 0.3816 0.71609 0.000 0.148 0.852
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.3686 0.84955 0.860 0.000 0.140
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 3 0.3038 0.79848 0.104 0.000 0.896
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 3 0.5798 0.69575 0.040 0.184 0.776
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.85697 0.000 1.000 0.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.2796 0.85820 0.908 0.000 0.092
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 3 0.3752 0.72057 0.000 0.144 0.856
#> B523A296-8146-456A-9942-7147A1882B01 1 0.1267 0.88524 0.972 0.004 0.024
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 3 0.3434 0.79673 0.064 0.032 0.904
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 3 0.4095 0.79312 0.064 0.056 0.880
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 3 0.6252 0.28361 0.444 0.000 0.556
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.3686 0.84955 0.860 0.000 0.140
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.2165 0.88285 0.936 0.000 0.064
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.0747 0.88705 0.984 0.000 0.016
#> 96B96425-04BD-4676-85EC-CCBC598533AB 3 0.2537 0.79475 0.080 0.000 0.920
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 3 0.5098 0.73663 0.248 0.000 0.752
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 3 0.6225 0.36937 0.432 0.000 0.568
#> 3B32E2B1-2825-430A-9081-2CAAE9A5FC7B 3 0.3816 0.71735 0.000 0.148 0.852
#> D09CCEEC-D367-4E44-B5F9-B3C63E19978F 3 0.3879 0.71267 0.000 0.152 0.848
#> 4B996600-09E0-4BED-B6D0-DDA3F3A0244A 2 0.0000 0.85697 0.000 1.000 0.000
#> 9B7FBC10-BCF3-477F-90FB-6EC5EB331ED6 1 0.4931 0.74087 0.768 0.000 0.232
#> 038D968B-D0EB-4F80-931A-625CF43FF8A5 1 0.1031 0.88589 0.976 0.000 0.024
#> 32287466-B795-4FA1-A7FB-3F9720B690BB 1 0.3267 0.84836 0.884 0.000 0.116
#> 51594BC1-010E-4CCE-A703-17034B351676 3 0.5553 0.71402 0.272 0.004 0.724
#> 55939D41-76B2-4AFF-A214-51E4254A8CF0 2 0.0237 0.85830 0.000 0.996 0.004
#> 8C98CB0A-9459-4D49-851B-98038A6913D1 1 0.0747 0.88705 0.984 0.000 0.016
#> CD9FB76F-6F1C-468E-86AE-8344CB3495F5 1 0.1267 0.88524 0.972 0.004 0.024
#> 26855314-D3FC-4D8E-9BD4-B2CAEBD0F21E 1 0.6305 0.05399 0.516 0.000 0.484
#> 079572F0-9F70-4576-BFE3-5B886942D0A1 1 0.1031 0.88589 0.976 0.000 0.024
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#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0892 0.88595 0.980 0.000 0.020
#> 06559D18-E45E-4697-BCDB-C781BCF71327 3 0.2959 0.79825 0.100 0.000 0.900
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.4974 0.60605 0.000 0.236 0.764
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.2625 0.87928 0.916 0.000 0.084
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 3 0.5576 0.76035 0.084 0.104 0.812
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.1163 0.88569 0.972 0.000 0.028
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.1289 0.88822 0.968 0.000 0.032
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.1411 0.88751 0.964 0.000 0.036
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.85697 0.000 1.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.2261 0.88172 0.932 0.000 0.068
#> D336B440-AEFF-428A-B92D-A4315400B199 3 0.2448 0.80018 0.076 0.000 0.924
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 3 0.2796 0.80022 0.092 0.000 0.908
#> 30F1F921-CB9F-4850-B695-17003B532B96 3 0.6274 0.36538 0.456 0.000 0.544
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 3 0.6252 0.35713 0.444 0.000 0.556
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.1289 0.88873 0.968 0.000 0.032
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 3 0.6302 0.17403 0.480 0.000 0.520
#> 46859620-8B87-4425-835F-7960023E4B07 3 0.5988 0.52669 0.368 0.000 0.632
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.2982 0.74106 0.056 0.024 0.920
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 3 0.3434 0.79895 0.064 0.032 0.904
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 3 0.4449 0.76491 0.040 0.100 0.860
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0592 0.85742 0.000 0.988 0.012
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.1031 0.88589 0.976 0.000 0.024
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.2165 0.88285 0.936 0.000 0.064
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.2261 0.88390 0.932 0.000 0.068
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.2261 0.88327 0.932 0.000 0.068
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.2261 0.79719 0.068 0.000 0.932
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.5178 0.76371 0.000 0.744 0.256
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.3340 0.81954 0.880 0.000 0.120
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.5363 0.74327 0.000 0.724 0.276
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.3993 0.79419 0.064 0.052 0.884
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.3116 0.82958 0.892 0.000 0.108
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.1031 0.88589 0.976 0.000 0.024
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.3340 0.85426 0.880 0.000 0.120
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.3551 0.73216 0.000 0.132 0.868
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.3406 0.84274 0.904 0.028 0.068
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.1267 0.88524 0.972 0.004 0.024
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.4002 0.70516 0.000 0.160 0.840
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.5882 0.48057 0.652 0.000 0.348
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.5327 0.74822 0.000 0.728 0.272
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.1129 0.88520 0.976 0.004 0.020
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.1031 0.88589 0.976 0.000 0.024
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.2537 0.87878 0.920 0.000 0.080
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1860 0.88459 0.948 0.000 0.052
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.85697 0.000 1.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.3038 0.79848 0.104 0.000 0.896
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.6260 0.24664 0.448 0.000 0.552
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.3802 0.79730 0.080 0.032 0.888
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.4452 0.78645 0.808 0.000 0.192
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.1878 0.75860 0.044 0.004 0.952
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.6119 0.67798 0.164 0.772 0.064
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.3038 0.85304 0.896 0.000 0.104
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0592 0.88775 0.988 0.000 0.012
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 3 0.6095 0.44825 0.392 0.000 0.608
#> DF9D7119-111B-49A5-8D4D-B625631CC450 3 0.5905 0.53985 0.352 0.000 0.648
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0892 0.88789 0.980 0.000 0.020
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2261 0.88172 0.932 0.000 0.068
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1411 0.88751 0.964 0.000 0.036
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.2680 0.79995 0.068 0.008 0.924
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.1031 0.88589 0.976 0.000 0.024
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1031 0.88589 0.976 0.000 0.024
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.3192 0.79473 0.112 0.000 0.888
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.3816 0.78663 0.852 0.000 0.148
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.1031 0.88589 0.976 0.000 0.024
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.5835 0.37428 0.660 0.000 0.340
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.4555 0.79738 0.000 0.800 0.200
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1031 0.88799 0.976 0.000 0.024
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.4811 0.82904 0.828 0.024 0.148
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.4628 0.77613 0.056 0.088 0.856
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.5216 0.76019 0.000 0.740 0.260
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.4002 0.78166 0.160 0.000 0.840
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.3192 0.86665 0.888 0.000 0.112
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2356 0.88053 0.928 0.000 0.072
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.1031 0.88589 0.976 0.000 0.024
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.3941 0.70901 0.000 0.156 0.844
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.1031 0.88589 0.976 0.000 0.024
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4291 0.76013 0.820 0.000 0.180
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4504 0.80466 0.000 0.804 0.196
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.5650 0.69452 0.000 0.688 0.312
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.3038 0.79848 0.104 0.000 0.896
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2356 0.88215 0.928 0.000 0.072
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.2356 0.88215 0.928 0.000 0.072
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.6252 0.02271 0.556 0.000 0.444
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2066 0.88366 0.940 0.000 0.060
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5733 0.55535 0.676 0.000 0.324
#> CA9D8784-2354-40CF-98D6-B54D0B780487 3 0.5810 0.60282 0.336 0.000 0.664
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.1031 0.88589 0.976 0.000 0.024
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.5036 0.78082 0.120 0.048 0.832
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.3998 0.79299 0.060 0.056 0.884
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1964 0.88423 0.944 0.000 0.056
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.8264 -0.08032 0.088 0.356 0.556
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.2680 0.79752 0.068 0.008 0.924
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.1964 0.88750 0.944 0.000 0.056
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.5291 0.75238 0.000 0.732 0.268
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.3816 0.84858 0.852 0.000 0.148
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.4206 0.79258 0.088 0.040 0.872
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.5722 0.73950 0.068 0.132 0.800
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.5201 0.60303 0.004 0.236 0.760
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.85697 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1411 0.88751 0.964 0.000 0.036
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.2845 0.79650 0.068 0.012 0.920
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.6308 -0.19782 0.508 0.000 0.492
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.3038 0.79620 0.104 0.000 0.896
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.8812 0.18000 0.516 0.360 0.124
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.4370 0.78797 0.076 0.056 0.868
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 3 0.6095 0.47266 0.392 0.000 0.608
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.4469 0.78506 0.060 0.076 0.864
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2066 0.88366 0.940 0.000 0.060
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.5926 0.45141 0.644 0.000 0.356
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.3755 0.79000 0.120 0.008 0.872
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2356 0.88053 0.928 0.000 0.072
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4955 0.25585 0.556 0.000 0.444 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.5233 0.43724 0.020 0.000 0.332 0.648
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.7607 0.24770 0.412 0.000 0.388 0.200
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4994 0.14148 0.520 0.000 0.480 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.4630 0.54451 0.192 0.024 0.776 0.008
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3569 0.52848 0.804 0.000 0.196 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.7758 0.15793 0.260 0.000 0.308 0.432
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4008 0.53156 0.756 0.000 0.244 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4875 0.52192 0.772 0.000 0.160 0.068
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6912 0.31712 0.576 0.000 0.152 0.272
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.4844 0.45255 0.012 0.000 0.300 0.688
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.5039 0.35756 0.000 0.004 0.404 0.592
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.4492 0.56707 0.148 0.020 0.808 0.024
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3801 0.72398 0.000 0.780 0.000 0.220
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.5663 -0.00409 0.440 0.000 0.536 0.024
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.7433 0.28709 0.216 0.000 0.276 0.508
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3774 0.56375 0.168 0.004 0.820 0.008
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3901 0.56706 0.168 0.004 0.816 0.012
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 4 0.4877 0.13935 0.000 0.408 0.000 0.592
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.2714 0.70904 0.004 0.000 0.112 0.884
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4994 0.14346 0.520 0.000 0.480 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.5352 0.43025 0.740 0.000 0.168 0.092
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.1661 0.71395 0.004 0.000 0.052 0.944
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.4830 0.28997 0.608 0.000 0.392 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 3 0.5165 -0.10916 0.484 0.000 0.512 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 4 0.4916 0.09149 0.000 0.424 0.000 0.576
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5384 0.21503 0.420 0.008 0.568 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.6648 0.49245 0.140 0.000 0.248 0.612
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.6473 0.41866 0.308 0.004 0.604 0.084
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.7599 0.22396 0.220 0.000 0.316 0.464
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.7226 0.30736 0.468 0.000 0.388 0.144
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.6482 0.40155 0.084 0.000 0.352 0.564
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.0336 0.70650 0.008 0.000 0.000 0.992
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4933 0.24863 0.568 0.000 0.432 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 4 0.4790 0.21574 0.000 0.380 0.000 0.620
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4948 0.31427 0.000 0.560 0.000 0.440
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.4328 0.56671 0.164 0.024 0.804 0.008
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0524 0.56185 0.988 0.004 0.008 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 4 0.4925 0.07863 0.000 0.428 0.000 0.572
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.3907 0.69969 0.032 0.000 0.140 0.828
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0336 0.89554 0.000 0.992 0.000 0.008
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.5165 0.12545 0.512 0.000 0.484 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 4 0.4790 0.21617 0.000 0.380 0.000 0.620
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0336 0.89554 0.000 0.992 0.000 0.008
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.7397 0.26877 0.428 0.000 0.408 0.164
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.6363 0.36963 0.656 0.000 0.172 0.172
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.5161 -0.29894 0.004 0.000 0.520 0.476
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.2654 0.52696 0.888 0.004 0.108 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.7599 0.22396 0.220 0.000 0.316 0.464
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3710 0.68816 0.004 0.000 0.192 0.804
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.7205 0.29155 0.528 0.000 0.304 0.168
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0336 0.89554 0.000 0.992 0.000 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.4040 0.54341 0.752 0.000 0.248 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.2300 0.69914 0.064 0.000 0.016 0.920
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4633 0.43220 0.780 0.000 0.172 0.048
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.0895 0.55672 0.976 0.020 0.004 0.000
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#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.5155 -0.02937 0.468 0.000 0.528 0.004
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.4955 0.22245 0.556 0.000 0.444 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0336 0.89554 0.000 0.992 0.000 0.008
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 4 0.4606 0.63406 0.012 0.000 0.264 0.724
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.6732 0.05195 0.336 0.000 0.556 0.108
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.4820 0.68075 0.060 0.000 0.168 0.772
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.5493 -0.01843 0.456 0.000 0.528 0.016
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 4 0.4511 0.50784 0.008 0.000 0.268 0.724
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.7597 0.28447 0.224 0.468 0.308 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5093 0.43519 0.336 0.008 0.652 0.004
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3726 0.51986 0.788 0.000 0.212 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 4 0.7920 -0.12961 0.316 0.000 0.340 0.344
#> DF9D7119-111B-49A5-8D4D-B625631CC450 4 0.7846 0.03224 0.272 0.000 0.336 0.392
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2469 0.57255 0.892 0.000 0.108 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4985 0.17210 0.532 0.000 0.468 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.4222 0.50314 0.728 0.000 0.272 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 4 0.3355 0.69938 0.004 0.000 0.160 0.836
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0469 0.56571 0.988 0.000 0.012 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0188 0.56230 0.996 0.000 0.004 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 4 0.6155 0.61119 0.148 0.000 0.176 0.676
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.1211 0.55829 0.960 0.000 0.040 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0817 0.56880 0.976 0.000 0.024 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.2943 0.53029 0.892 0.000 0.032 0.076
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.4996 0.18286 0.000 0.516 0.000 0.484
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3975 0.50472 0.760 0.000 0.240 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.4224 0.56746 0.164 0.020 0.808 0.008
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 4 0.0804 0.70897 0.008 0.000 0.012 0.980
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 4 0.4804 0.20569 0.000 0.384 0.000 0.616
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 4 0.7113 0.40235 0.172 0.000 0.276 0.552
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.5012 0.34664 0.320 0.004 0.668 0.008
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4996 0.13207 0.516 0.000 0.484 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0817 0.56459 0.976 0.000 0.024 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 4 0.0188 0.70510 0.000 0.000 0.004 0.996
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0188 0.56230 0.996 0.000 0.004 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.6859 0.35429 0.512 0.000 0.380 0.108
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 4 0.4907 0.10387 0.000 0.420 0.000 0.580
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 4 0.4454 0.36412 0.000 0.308 0.000 0.692
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.4387 0.65756 0.012 0.000 0.236 0.752
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4992 0.15134 0.524 0.000 0.476 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.4981 0.17999 0.536 0.000 0.464 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.5790 0.36922 0.684 0.000 0.080 0.236
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4961 0.21413 0.552 0.000 0.448 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.5964 0.00915 0.424 0.000 0.536 0.040
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.7921 0.13982 0.348 0.000 0.320 0.332
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0657 0.56203 0.984 0.000 0.012 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.7431 0.48102 0.268 0.004 0.196 0.532
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 4 0.3448 0.69517 0.004 0.000 0.168 0.828
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4955 0.22245 0.556 0.000 0.444 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.6053 0.31292 0.008 0.052 0.640 0.300
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 4 0.3808 0.69078 0.004 0.004 0.184 0.808
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4535 0.46781 0.704 0.000 0.292 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 4 0.4804 0.20569 0.000 0.384 0.000 0.616
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.5254 0.45687 0.300 0.000 0.672 0.028
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 4 0.1411 0.71063 0.020 0.000 0.020 0.960
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.5328 0.48275 0.316 0.020 0.004 0.660
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 4 0.5282 0.55771 0.136 0.100 0.004 0.760
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0336 0.89554 0.000 0.992 0.000 0.008
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4585 0.49620 0.668 0.000 0.332 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.2530 0.71282 0.004 0.000 0.100 0.896
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.5751 0.40764 0.712 0.000 0.164 0.124
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.2227 0.71291 0.036 0.000 0.036 0.928
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.8081 -0.19651 0.448 0.060 0.396 0.096
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.4387 0.58841 0.236 0.000 0.012 0.752
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.7811 0.21865 0.412 0.000 0.320 0.268
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.2053 0.71343 0.004 0.000 0.072 0.924
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4977 0.18866 0.540 0.000 0.460 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.7396 0.27105 0.432 0.000 0.404 0.164
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4327 0.60750 0.216 0.000 0.016 0.768
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4996 0.13207 0.516 0.000 0.484 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3003 0.67152 0.812 0.000 0.188 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.7418 0.05677 0.052 0.140 0.348 0.008 0.452
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.4970 0.29349 0.432 0.000 0.012 0.012 0.544
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3684 0.61328 0.720 0.000 0.280 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2280 0.76509 0.120 0.000 0.880 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.2516 0.42307 0.860 0.000 0.000 0.140 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.4288 0.46816 0.324 0.000 0.000 0.012 0.664
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1893 0.60673 0.928 0.000 0.000 0.024 0.048
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.6564 -0.18609 0.444 0.000 0.000 0.344 0.212
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6749 0.34409 0.612 0.060 0.008 0.124 0.196
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.8076 -0.06182 0.076 0.192 0.336 0.012 0.384
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6121 0.22812 0.000 0.112 0.536 0.008 0.344
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.2833 0.75925 0.140 0.000 0.852 0.004 0.004
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1281 0.42230 0.000 0.956 0.000 0.012 0.032
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4755 0.55882 0.664 0.000 0.300 0.004 0.032
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.5639 0.49009 0.304 0.060 0.000 0.020 0.616
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.2690 0.74873 0.156 0.000 0.844 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.2763 0.75471 0.148 0.000 0.848 0.004 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4339 0.50432 0.000 0.652 0.000 0.012 0.336
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.2124 0.43325 0.000 0.096 0.000 0.004 0.900
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3752 0.60875 0.708 0.000 0.292 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.5598 0.28484 0.076 0.000 0.000 0.524 0.400
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4456 -0.03532 0.000 0.320 0.000 0.020 0.660
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3845 0.66500 0.768 0.000 0.208 0.024 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4865 0.59888 0.680 0.000 0.268 0.004 0.048
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4339 0.50432 0.000 0.652 0.000 0.012 0.336
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4565 0.52661 0.408 0.000 0.580 0.012 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.3959 0.56114 0.104 0.000 0.012 0.068 0.816
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4528 0.69888 0.032 0.012 0.772 0.168 0.016
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.4366 0.47237 0.320 0.000 0.000 0.016 0.664
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.4549 0.24454 0.464 0.000 0.000 0.008 0.528
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.6040 0.37016 0.360 0.004 0.064 0.020 0.552
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.5051 -0.38001 0.000 0.484 0.004 0.024 0.488
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3487 0.66423 0.780 0.000 0.212 0.008 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4045 0.50178 0.000 0.644 0.000 0.000 0.356
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4108 0.50023 0.000 0.684 0.000 0.008 0.308
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.2597 0.76686 0.120 0.000 0.872 0.004 0.004
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4410 0.70952 0.440 0.000 0.004 0.556 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.4235 0.50377 0.000 0.656 0.000 0.008 0.336
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3661 0.39667 0.008 0.124 0.008 0.028 0.832
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.5928 0.18450 0.000 0.500 0.108 0.392 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3707 0.61043 0.716 0.000 0.284 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4166 0.50306 0.000 0.648 0.000 0.004 0.348
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.5928 0.18450 0.000 0.500 0.108 0.392 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 5 0.4976 0.28665 0.436 0.000 0.012 0.012 0.540
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.6810 0.23743 0.232 0.004 0.000 0.392 0.372
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.4535 0.53102 0.108 0.000 0.140 0.000 0.752
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.4545 0.71100 0.432 0.000 0.004 0.560 0.004
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.4422 0.47428 0.320 0.004 0.000 0.012 0.664
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.0566 0.51313 0.000 0.000 0.012 0.004 0.984
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 5 0.5862 0.13787 0.052 0.000 0.024 0.384 0.540
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.5922 0.18667 0.000 0.504 0.108 0.388 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3159 0.54130 0.856 0.000 0.000 0.056 0.088
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.6439 0.35339 0.000 0.436 0.008 0.136 0.420
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.6705 0.46002 0.312 0.004 0.164 0.508 0.012
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.4403 0.71085 0.436 0.000 0.004 0.560 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4416 0.50116 0.000 0.632 0.000 0.012 0.356
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.4867 0.69224 0.432 0.000 0.000 0.544 0.024
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.4897 0.40609 0.000 0.516 0.000 0.024 0.460
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.0740 0.51281 0.008 0.004 0.000 0.008 0.980
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.6445 0.65497 0.352 0.004 0.064 0.536 0.044
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.5928 0.18450 0.000 0.500 0.108 0.392 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3209 0.67284 0.812 0.000 0.180 0.000 0.008
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.1419 0.50582 0.000 0.016 0.012 0.016 0.956
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6219 0.38830 0.240 0.000 0.548 0.212 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 5 0.5839 0.36737 0.324 0.000 0.116 0.000 0.560
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.6714 0.32500 0.004 0.504 0.008 0.296 0.188
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.0968 0.50394 0.000 0.012 0.004 0.012 0.972
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.5883 0.18972 0.000 0.508 0.104 0.388 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.4430 0.70212 0.456 0.000 0.004 0.540 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.5162 0.46019 0.000 0.248 0.672 0.004 0.076
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.4570 0.50109 0.000 0.632 0.000 0.020 0.348
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.6619 0.06720 0.000 0.392 0.216 0.392 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.4390 0.71071 0.428 0.000 0.000 0.568 0.004
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.4828 0.46177 0.320 0.000 0.012 0.020 0.648
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.5326 0.38958 0.000 0.496 0.012 0.028 0.464
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.4436 0.47450 0.000 0.596 0.000 0.008 0.396
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.3574 0.42894 0.000 0.028 0.168 0.000 0.804
#> F850770E-CE4A-43E8-A4FB-154184CA8155 5 0.4388 0.45918 0.024 0.008 0.000 0.244 0.724
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.5928 0.18450 0.000 0.500 0.108 0.392 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.6485 0.19562 0.020 0.152 0.180 0.020 0.628
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.4890 0.47025 0.320 0.004 0.016 0.012 0.648
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.4410 0.70952 0.440 0.000 0.004 0.556 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4465 0.39260 0.672 0.000 0.000 0.024 0.304
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2873 0.68201 0.860 0.000 0.120 0.000 0.020
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#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0963 0.59351 0.964 0.000 0.000 0.036 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.5218 0.45270 0.316 0.000 0.016 0.036 0.632
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.4990 0.46117 0.316 0.000 0.016 0.024 0.644
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.3398 0.24442 0.780 0.000 0.000 0.216 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.3424 0.64891 0.760 0.000 0.240 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1251 0.62714 0.956 0.000 0.000 0.008 0.036
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.2017 0.45080 0.000 0.080 0.000 0.008 0.912
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.4283 0.70220 0.456 0.000 0.000 0.544 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.4425 0.70517 0.452 0.000 0.004 0.544 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.4479 0.56013 0.184 0.000 0.000 0.072 0.744
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.4551 0.71150 0.436 0.000 0.004 0.556 0.004
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4449 -0.62122 0.512 0.000 0.004 0.484 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.5290 0.68662 0.392 0.004 0.000 0.560 0.044
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.3990 0.50078 0.000 0.688 0.000 0.004 0.308
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0510 0.61080 0.984 0.000 0.000 0.016 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.2597 0.76686 0.120 0.000 0.872 0.004 0.004
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.4746 -0.36839 0.000 0.480 0.000 0.016 0.504
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.4182 0.50253 0.000 0.644 0.000 0.004 0.352
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.4286 0.52978 0.260 0.004 0.000 0.020 0.716
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3585 0.65713 0.220 0.000 0.772 0.004 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3684 0.61328 0.720 0.000 0.280 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.4415 -0.51010 0.552 0.000 0.004 0.444 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.4747 0.38138 0.000 0.500 0.000 0.016 0.484
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.4415 0.70787 0.444 0.000 0.004 0.552 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.4990 0.26381 0.448 0.000 0.012 0.012 0.528
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.4101 0.50507 0.000 0.664 0.000 0.004 0.332
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4101 0.49453 0.000 0.628 0.000 0.000 0.372
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.3783 0.55973 0.216 0.000 0.004 0.012 0.768
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3561 0.63273 0.740 0.000 0.260 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.3480 0.64318 0.752 0.000 0.248 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.6982 0.51000 0.224 0.020 0.004 0.508 0.244
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.3366 0.65441 0.768 0.000 0.232 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.4853 0.56060 0.664 0.000 0.296 0.008 0.032
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.4862 0.45436 0.328 0.000 0.012 0.020 0.640
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.4415 0.70692 0.444 0.000 0.000 0.552 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.4743 0.41138 0.048 0.000 0.004 0.248 0.700
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.1168 0.48815 0.000 0.032 0.000 0.008 0.960
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.3242 0.66228 0.784 0.000 0.216 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3023 0.74040 0.028 0.088 0.872 0.000 0.012
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.1267 0.51278 0.000 0.004 0.024 0.012 0.960
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.3912 0.59313 0.828 0.000 0.052 0.092 0.028
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.4030 0.50322 0.000 0.648 0.000 0.000 0.352
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.3871 0.73280 0.056 0.000 0.808 0.132 0.004
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.5854 -0.29703 0.000 0.436 0.000 0.096 0.468
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.6059 0.30717 0.028 0.364 0.000 0.544 0.064
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.6536 0.41338 0.004 0.512 0.008 0.148 0.328
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.5922 0.18667 0.000 0.504 0.108 0.388 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3266 0.56944 0.796 0.000 0.000 0.004 0.200
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3396 0.39014 0.000 0.136 0.028 0.004 0.832
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.6642 0.54528 0.304 0.000 0.008 0.492 0.196
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.5606 -0.18486 0.000 0.360 0.000 0.084 0.556
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6358 0.45555 0.188 0.016 0.584 0.212 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.5770 0.22572 0.004 0.388 0.000 0.528 0.080
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.4866 0.42395 0.352 0.000 0.012 0.016 0.620
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.3246 0.30737 0.000 0.184 0.000 0.008 0.808
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3336 0.65571 0.772 0.000 0.228 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.5049 0.30492 0.424 0.000 0.016 0.012 0.548
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.6366 0.24788 0.028 0.372 0.000 0.512 0.088
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3707 0.60930 0.716 0.000 0.284 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2147 0.81509 0.896 0.000 0.084 0.000 0.000 0.020
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.7710 -0.04169 0.076 0.000 0.316 0.032 0.328 0.248
#> 1562153C-AC2E-4094-A936-75CC580367A9 6 0.2092 0.79165 0.124 0.000 0.000 0.000 0.000 0.876
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3121 0.77955 0.804 0.000 0.180 0.012 0.000 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.1588 0.76887 0.072 0.004 0.924 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.2113 0.78293 0.896 0.000 0.004 0.092 0.000 0.008
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 6 0.3973 0.79387 0.116 0.000 0.004 0.060 0.024 0.796
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2547 0.77952 0.880 0.000 0.004 0.036 0.000 0.080
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.6232 0.37627 0.196 0.000 0.008 0.468 0.008 0.320
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.6213 0.36177 0.560 0.000 0.020 0.292 0.056 0.072
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.7394 0.07344 0.084 0.000 0.332 0.032 0.412 0.140
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4593 0.57270 0.004 0.000 0.704 0.000 0.180 0.112
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1501 0.76987 0.076 0.000 0.924 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 5 0.2191 0.74107 0.000 0.120 0.004 0.000 0.876 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4526 0.70882 0.712 0.000 0.228 0.024 0.012 0.024
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.5456 0.75742 0.120 0.000 0.008 0.072 0.108 0.692
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1714 0.76329 0.092 0.000 0.908 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.1556 0.76888 0.080 0.000 0.920 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.1010 0.81520 0.000 0.036 0.004 0.000 0.960 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 6 0.3905 0.56998 0.000 0.000 0.000 0.016 0.316 0.668
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3661 0.76130 0.768 0.000 0.200 0.012 0.000 0.020
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4699 0.55654 0.044 0.000 0.008 0.664 0.008 0.276
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 6 0.5521 0.11770 0.000 0.000 0.004 0.116 0.392 0.488
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2446 0.81174 0.864 0.000 0.124 0.012 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4436 0.73282 0.740 0.000 0.168 0.024 0.000 0.068
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.1010 0.81520 0.000 0.036 0.004 0.000 0.960 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4344 0.59191 0.304 0.000 0.652 0.044 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 6 0.1364 0.79560 0.012 0.000 0.000 0.016 0.020 0.952
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4572 0.56224 0.020 0.000 0.672 0.272 0.036 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 6 0.3325 0.79840 0.120 0.000 0.004 0.028 0.016 0.832
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 6 0.3074 0.76463 0.200 0.000 0.004 0.004 0.000 0.792
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 6 0.5567 0.71208 0.220 0.000 0.024 0.076 0.028 0.652
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.2122 0.80641 0.000 0.000 0.000 0.076 0.900 0.024
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2799 0.81009 0.852 0.000 0.124 0.012 0.000 0.012
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1138 0.81940 0.000 0.024 0.004 0.000 0.960 0.012
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.1010 0.81520 0.000 0.036 0.004 0.000 0.960 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.1387 0.77099 0.068 0.000 0.932 0.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2872 0.74903 0.140 0.000 0.024 0.836 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1010 0.81520 0.000 0.036 0.004 0.000 0.960 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 6 0.5735 0.59051 0.012 0.000 0.024 0.100 0.260 0.604
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3352 0.75541 0.776 0.000 0.208 0.008 0.000 0.008
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.1036 0.81948 0.000 0.024 0.004 0.000 0.964 0.008
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 6 0.2300 0.78653 0.144 0.000 0.000 0.000 0.000 0.856
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.5952 0.37043 0.112 0.000 0.012 0.552 0.020 0.304
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 6 0.4890 0.71753 0.020 0.000 0.164 0.020 0.072 0.724
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2872 0.74942 0.140 0.000 0.024 0.836 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 6 0.3549 0.80006 0.112 0.000 0.004 0.036 0.024 0.824
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 6 0.2605 0.78984 0.000 0.000 0.012 0.020 0.092 0.876
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 6 0.4014 0.40004 0.004 0.000 0.004 0.348 0.004 0.640
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3219 0.76358 0.840 0.000 0.008 0.076 0.000 0.076
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4693 0.04305 0.000 0.000 0.024 0.532 0.432 0.012
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.4978 0.59225 0.280 0.000 0.028 0.652 0.020 0.020
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.2872 0.74903 0.140 0.000 0.024 0.836 0.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.1148 0.81977 0.000 0.016 0.004 0.000 0.960 0.020
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.3426 0.75069 0.108 0.000 0.008 0.832 0.012 0.040
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.0914 0.82699 0.000 0.000 0.000 0.016 0.968 0.016
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 6 0.2121 0.79287 0.000 0.000 0.000 0.012 0.096 0.892
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.3963 0.72165 0.072 0.000 0.060 0.816 0.016 0.036
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.2149 0.81570 0.900 0.000 0.080 0.004 0.000 0.016
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 6 0.1970 0.78645 0.000 0.000 0.008 0.000 0.092 0.900
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6377 0.40736 0.076 0.040 0.516 0.336 0.000 0.032
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 6 0.4738 0.74286 0.108 0.000 0.120 0.020 0.012 0.740
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.4892 0.41957 0.008 0.000 0.016 0.344 0.604 0.028
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 6 0.1970 0.78648 0.000 0.000 0.008 0.000 0.092 0.900
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.1010 0.95553 0.000 0.960 0.004 0.000 0.036 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.2989 0.75607 0.176 0.000 0.004 0.812 0.000 0.008
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.3874 0.56389 0.000 0.000 0.732 0.000 0.228 0.040
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.1390 0.81435 0.000 0.032 0.004 0.000 0.948 0.016
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1500 0.91524 0.000 0.936 0.052 0.000 0.012 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.3107 0.76178 0.136 0.000 0.016 0.832 0.000 0.016
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 6 0.1141 0.79894 0.052 0.000 0.000 0.000 0.000 0.948
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.1536 0.82129 0.000 0.000 0.004 0.040 0.940 0.016
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0603 0.82697 0.000 0.000 0.004 0.000 0.980 0.016
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 6 0.5541 0.68645 0.004 0.000 0.156 0.056 0.116 0.668
#> F850770E-CE4A-43E8-A4FB-154184CA8155 6 0.6138 0.33051 0.048 0.000 0.020 0.376 0.056 0.500
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 6 0.7871 0.26300 0.056 0.000 0.136 0.112 0.320 0.376
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 6 0.4060 0.79387 0.116 0.000 0.008 0.064 0.020 0.792
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.2872 0.74942 0.140 0.000 0.024 0.836 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.3822 0.71688 0.788 0.000 0.012 0.060 0.000 0.140
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1829 0.81891 0.920 0.000 0.056 0.000 0.000 0.024
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.1387 0.77099 0.068 0.000 0.932 0.000 0.000 0.000
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#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.6441 0.41666 0.084 0.040 0.516 0.328 0.000 0.032
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.3062 0.74947 0.144 0.000 0.032 0.824 0.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.0964 0.82720 0.000 0.000 0.004 0.012 0.968 0.016
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.4892 0.67602 0.060 0.000 0.072 0.744 0.012 0.112
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.0551 0.82479 0.000 0.008 0.004 0.000 0.984 0.004
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.3163 0.74792 0.144 0.000 0.024 0.824 0.000 0.008
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.2778 0.75481 0.168 0.000 0.000 0.824 0.008 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.4183 0.67851 0.696 0.000 0.268 0.020 0.000 0.016
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.2431 0.80717 0.860 0.000 0.132 0.000 0.000 0.008
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 6 0.3459 0.80291 0.104 0.000 0.004 0.036 0.024 0.832
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 6 0.6944 0.47508 0.140 0.000 0.236 0.072 0.028 0.524
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 6 0.4005 0.77606 0.016 0.000 0.004 0.124 0.068 0.788
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.5042 0.67540 0.680 0.000 0.228 0.024 0.012 0.056
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.5301 0.39064 0.032 0.000 0.332 0.032 0.592 0.012
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.6753 0.44431 0.044 0.124 0.508 0.292 0.000 0.032
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5157 0.65947 0.068 0.020 0.704 0.176 0.000 0.032
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.1728 0.79448 0.924 0.000 0.004 0.064 0.000 0.008
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 6 0.1333 0.79819 0.048 0.000 0.000 0.008 0.000 0.944
#> DF9D7119-111B-49A5-8D4D-B625631CC450 6 0.1285 0.79847 0.052 0.000 0.000 0.004 0.000 0.944
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2703 0.73666 0.824 0.000 0.004 0.172 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2572 0.80577 0.852 0.000 0.136 0.000 0.000 0.012
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1921 0.79852 0.916 0.000 0.000 0.032 0.000 0.052
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 6 0.4924 0.71953 0.016 0.000 0.020 0.060 0.200 0.704
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.2593 0.76156 0.148 0.000 0.000 0.844 0.008 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.2884 0.75836 0.164 0.000 0.004 0.824 0.000 0.008
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 6 0.3653 0.80735 0.072 0.000 0.008 0.036 0.052 0.832
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.2750 0.75260 0.136 0.000 0.020 0.844 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.4103 0.63644 0.304 0.000 0.012 0.672 0.000 0.012
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.3650 0.72711 0.116 0.000 0.012 0.820 0.020 0.032
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 5 0.1082 0.81321 0.000 0.040 0.004 0.000 0.956 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2315 0.78490 0.892 0.000 0.008 0.084 0.000 0.016
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.1387 0.77099 0.068 0.000 0.932 0.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2237 0.81655 0.000 0.000 0.000 0.036 0.896 0.068
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.0935 0.81717 0.000 0.032 0.004 0.000 0.964 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 6 0.3000 0.80415 0.092 0.000 0.004 0.028 0.016 0.860
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3167 0.73281 0.120 0.000 0.840 0.016 0.004 0.020
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3250 0.76649 0.788 0.000 0.196 0.004 0.000 0.012
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.4395 0.19198 0.568 0.000 0.028 0.404 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0937 0.82572 0.000 0.000 0.000 0.000 0.960 0.040
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.2653 0.75330 0.144 0.000 0.012 0.844 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 6 0.2300 0.78653 0.144 0.000 0.000 0.000 0.000 0.856
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.1338 0.81640 0.000 0.032 0.004 0.004 0.952 0.008
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0653 0.82477 0.000 0.004 0.004 0.000 0.980 0.012
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 6 0.1866 0.80442 0.084 0.000 0.000 0.000 0.008 0.908
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2833 0.80047 0.836 0.000 0.148 0.012 0.000 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.2572 0.80614 0.852 0.000 0.136 0.012 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.5520 0.62993 0.108 0.000 0.012 0.672 0.040 0.168
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2615 0.80544 0.852 0.000 0.136 0.004 0.000 0.008
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5346 0.66592 0.664 0.000 0.232 0.040 0.024 0.040
#> CA9D8784-2354-40CF-98D6-B54D0B780487 6 0.1714 0.79839 0.092 0.000 0.000 0.000 0.000 0.908
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.2742 0.76139 0.128 0.000 0.000 0.852 0.012 0.008
#> 291C6B0B-7866-409D-921F-13C16550980B 6 0.5236 0.48021 0.020 0.000 0.020 0.280 0.044 0.636
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.3057 0.78758 0.008 0.000 0.004 0.024 0.120 0.844
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.2389 0.81074 0.864 0.000 0.128 0.000 0.000 0.008
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.1334 0.76094 0.032 0.000 0.948 0.000 0.020 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 6 0.2182 0.78890 0.000 0.000 0.020 0.004 0.076 0.900
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2795 0.80284 0.864 0.000 0.028 0.100 0.004 0.004
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1003 0.81856 0.000 0.028 0.004 0.000 0.964 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.4987 0.66730 0.040 0.008 0.716 0.188 0.012 0.036
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.5848 0.22553 0.016 0.000 0.008 0.396 0.484 0.096
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.3441 0.61060 0.004 0.000 0.004 0.768 0.216 0.008
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.3855 0.64406 0.004 0.000 0.012 0.248 0.728 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0547 0.95856 0.000 0.980 0.000 0.000 0.020 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2851 0.75187 0.844 0.000 0.004 0.020 0.000 0.132
#> 0E942B03-D2E5-475F-876A-AE092CB34303 6 0.4671 0.67236 0.000 0.000 0.032 0.044 0.228 0.696
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.4650 0.68288 0.104 0.000 0.000 0.712 0.012 0.172
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.6793 0.18125 0.020 0.000 0.020 0.352 0.400 0.208
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6279 0.41797 0.068 0.040 0.528 0.332 0.000 0.032
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.3914 0.53809 0.008 0.000 0.008 0.720 0.256 0.008
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 6 0.1910 0.79807 0.108 0.000 0.000 0.000 0.000 0.892
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 6 0.4872 0.50095 0.004 0.000 0.012 0.036 0.356 0.592
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2431 0.80839 0.860 0.000 0.132 0.000 0.000 0.008
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.1910 0.79193 0.108 0.000 0.000 0.000 0.000 0.892
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3262 0.63739 0.004 0.000 0.004 0.800 0.180 0.012
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3341 0.75755 0.776 0.000 0.208 0.004 0.000 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", "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 18099 rows and 453 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 0.813 0.901 0.959 0.4960 0.507 0.507
#> 3 3 0.585 0.746 0.833 0.3171 0.767 0.569
#> 4 4 0.798 0.790 0.908 0.1281 0.877 0.663
#> 5 5 0.780 0.800 0.882 0.0743 0.875 0.582
#> 6 6 0.770 0.697 0.845 0.0463 0.905 0.600
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.950 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.9710 0.334 0.400 0.600
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.950 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.950 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.7219 0.737 0.800 0.200
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.950 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.950 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.950 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.950 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.950 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.9129 0.511 0.328 0.672
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.962 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.9710 0.334 0.600 0.400
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.962 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.950 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.7219 0.745 0.800 0.200
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.950 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.950 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.962 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.0000 0.962 0.000 1.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.950 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.950 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.0000 0.962 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.950 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.950 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.962 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.950 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 2 0.9954 0.113 0.460 0.540
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.1414 0.946 0.020 0.980
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0672 0.945 0.992 0.008
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.950 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.950 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.0000 0.962 0.000 1.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.950 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.962 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.962 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.9710 0.334 0.600 0.400
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.950 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.962 0.000 1.000
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#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.950 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.950 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.0000 0.962 0.000 1.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 2 0.0000 0.962 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.950 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0376 0.959 0.004 0.996
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.0000 0.962 0.000 1.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.950 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.962 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.5178 0.843 0.884 0.116
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.0000 0.962 0.000 1.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.962 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.962 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.962 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.950 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.0000 0.962 0.000 1.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.950 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 2 0.2043 0.935 0.032 0.968
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.4939 0.859 0.108 0.892
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.0000 0.962 0.000 1.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.950 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.962 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.950 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.950 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.0000 0.962 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.950 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3272 0.8248 0.892 0.104 0.004
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.6505 -0.4022 0.004 0.528 0.468
#> 1562153C-AC2E-4094-A936-75CC580367A9 3 0.8196 0.6880 0.252 0.124 0.624
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4521 0.7858 0.816 0.180 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.6451 0.6454 0.608 0.384 0.008
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.8494 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.6189 0.6552 0.364 0.004 0.632
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.8494 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0424 0.8448 0.992 0.000 0.008
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1163 0.8302 0.972 0.000 0.028
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.4591 0.3997 0.120 0.848 0.032
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0747 0.5651 0.000 0.984 0.016
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.6661 0.6243 0.588 0.400 0.012
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.5760 0.8904 0.000 0.672 0.328
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4915 0.7790 0.804 0.184 0.012
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.5020 0.7231 0.192 0.012 0.796
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6566 0.6501 0.612 0.376 0.012
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.6566 0.6501 0.612 0.376 0.012
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.5988 0.8924 0.000 0.632 0.368
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.0592 0.5569 0.000 0.012 0.988
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4700 0.7830 0.812 0.180 0.008
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.6126 0.6216 0.400 0.000 0.600
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.6045 0.8883 0.000 0.620 0.380
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.2682 0.8342 0.920 0.076 0.004
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4915 0.7792 0.804 0.184 0.012
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.6008 0.8916 0.000 0.628 0.372
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4504 0.7340 0.804 0.196 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.5167 0.7251 0.192 0.016 0.792
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.2261 0.4950 0.068 0.932 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.8350 0.6952 0.196 0.176 0.628
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.6062 0.6395 0.384 0.000 0.616
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.7815 0.7141 0.148 0.180 0.672
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.6026 0.8902 0.000 0.624 0.376
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3193 0.8262 0.896 0.100 0.004
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.5760 0.8904 0.000 0.672 0.328
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5810 0.8917 0.000 0.664 0.336
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.6661 0.6243 0.588 0.400 0.012
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.8494 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.5988 0.8924 0.000 0.632 0.368
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.4465 0.6813 0.004 0.176 0.820
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.5650 0.8841 0.000 0.688 0.312
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4861 0.7803 0.808 0.180 0.012
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.5988 0.8924 0.000 0.632 0.368
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.5650 0.8841 0.000 0.688 0.312
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 3 0.8009 0.6799 0.276 0.100 0.624
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 3 0.6154 0.6104 0.408 0.000 0.592
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.6341 0.6686 0.016 0.312 0.672
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0237 0.8473 0.996 0.000 0.004
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.6148 0.6622 0.356 0.004 0.640
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.4002 0.6740 0.000 0.160 0.840
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 3 0.8379 0.6935 0.208 0.168 0.624
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.5650 0.8841 0.000 0.688 0.312
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0237 0.8473 0.996 0.000 0.004
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 2 0.6095 0.8791 0.000 0.608 0.392
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.3686 0.8119 0.860 0.140 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4733 0.6741 0.800 0.196 0.004
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.6026 0.8902 0.000 0.624 0.376
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.8494 1.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.6026 0.8902 0.000 0.624 0.376
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.0592 0.5569 0.000 0.012 0.988
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.6282 0.6944 0.664 0.324 0.012
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.5650 0.8841 0.000 0.688 0.312
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3755 0.8176 0.872 0.120 0.008
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.0592 0.5569 0.000 0.012 0.988
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.4702 0.7213 0.788 0.212 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 3 0.7917 0.7115 0.152 0.184 0.664
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.4702 0.8058 0.000 0.788 0.212
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.0592 0.5569 0.000 0.012 0.988
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.5760 0.8904 0.000 0.672 0.328
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.8494 1.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.1031 0.5946 0.000 0.976 0.024
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.6026 0.8902 0.000 0.624 0.376
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4291 0.7763 0.000 0.820 0.180
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.2066 0.8224 0.940 0.060 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 3 0.6339 0.6622 0.360 0.008 0.632
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.5988 0.8924 0.000 0.632 0.368
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.6008 0.8916 0.000 0.628 0.372
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 3 0.4974 0.6827 0.000 0.236 0.764
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.8072 0.6726 0.144 0.208 0.648
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.5650 0.8841 0.000 0.688 0.312
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.4346 0.6798 0.000 0.184 0.816
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.8353 0.6940 0.192 0.180 0.628
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.8494 1.000 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 3 0.6286 0.5109 0.464 0.000 0.536
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0237 0.8491 0.996 0.000 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.6600 0.6419 0.604 0.384 0.012
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 3 0.8396 0.6912 0.196 0.180 0.624
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.3845 0.6868 0.116 0.012 0.872
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.6566 0.6501 0.612 0.376 0.012
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.9843 0.2371 0.248 0.376 0.376
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.4504 0.7340 0.804 0.196 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.3752 0.7740 0.856 0.144 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0475 0.8489 0.992 0.004 0.004
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.8494 1.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 3 0.6045 0.6428 0.380 0.000 0.620
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 3 0.8353 0.6940 0.192 0.180 0.628
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.4861 0.7803 0.808 0.180 0.012
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.8494 1.000 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.5760 0.8904 0.000 0.672 0.328
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.5760 0.8904 0.000 0.672 0.328
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.5760 0.8904 0.000 0.672 0.328
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.5988 0.8924 0.000 0.632 0.368
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.8494 1.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.6026 0.8902 0.000 0.624 0.376
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0237 0.8473 0.996 0.000 0.004
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.0592 0.5569 0.000 0.012 0.988
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 3 0.5406 0.7200 0.200 0.020 0.780
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.6026 0.8902 0.000 0.624 0.376
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 3 0.6079 0.6359 0.388 0.000 0.612
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.8494 1.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.4915 0.7790 0.804 0.184 0.012
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.5650 0.8841 0.000 0.688 0.312
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.5982 0.6590 0.004 0.328 0.668
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0424 0.8486 0.992 0.000 0.008
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 3 0.8353 0.6940 0.192 0.180 0.628
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.5706 0.8875 0.000 0.680 0.320
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.5760 0.8904 0.000 0.672 0.328
#> C4A001BB-F700-4830-B6F1-83E7FC938865 3 0.6205 0.6786 0.336 0.008 0.656
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.2537 0.6327 0.000 0.080 0.920
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.8494 1.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.4861 0.7803 0.808 0.180 0.012
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.8494 1.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.5244 0.7593 0.756 0.240 0.004
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 2 0.6026 0.8902 0.000 0.624 0.376
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.4861 0.7803 0.808 0.180 0.012
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 2 0.6026 0.8902 0.000 0.624 0.376
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.4521 0.7858 0.816 0.180 0.004
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.5650 0.8841 0.000 0.688 0.312
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.3030 0.8292 0.904 0.092 0.004
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.8494 1.000 0.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.5760 0.8904 0.000 0.672 0.328
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 3 0.7825 0.7168 0.156 0.172 0.672
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.5650 0.8841 0.000 0.688 0.312
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.6008 0.8916 0.000 0.628 0.372
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.6307 0.6912 0.660 0.328 0.012
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 3 0.8824 0.6368 0.260 0.168 0.572
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 3 0.4390 0.7095 0.148 0.012 0.840
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 2 0.6228 0.8896 0.004 0.624 0.372
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.6057 0.8923 0.004 0.656 0.340
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 3 0.6111 0.6267 0.396 0.000 0.604
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.6008 0.8916 0.000 0.628 0.372
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.6566 0.6501 0.612 0.376 0.012
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 3 0.4228 0.7124 0.148 0.008 0.844
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 3 0.6252 -0.6458 0.000 0.444 0.556
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.5650 0.8841 0.000 0.688 0.312
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0237 0.8473 0.996 0.000 0.004
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 2 0.6280 0.8036 0.000 0.540 0.460
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0424 0.8451 0.992 0.000 0.008
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#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 3 0.6062 0.6395 0.384 0.000 0.616
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0237 0.8473 0.996 0.000 0.004
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 3 0.6180 -0.5948 0.000 0.416 0.584
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 3 0.6126 0.6216 0.400 0.000 0.600
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 3 0.7995 0.6534 0.088 0.304 0.608
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.5760 0.8904 0.000 0.672 0.328
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.8494 1.000 0.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 2 0.9326 0.3075 0.396 0.440 0.164
#> 9E9640CE-68E4-402B-87B4-805A425009B2 3 0.8167 0.7030 0.188 0.168 0.644
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.8494 1.000 0.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.1163 0.5690 0.028 0.972 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.4504 0.7340 0.804 0.196 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 2 0.1585 0.5638 0.008 0.964 0.028
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.5760 0.8904 0.000 0.672 0.328
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.8494 1.000 0.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 2 0.6026 0.8902 0.000 0.624 0.376
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0424 0.8479 0.992 0.000 0.008
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.0983 0.5618 0.016 0.980 0.004
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.6095 0.8791 0.000 0.608 0.392
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.8494 1.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 3 0.1620 0.5903 0.024 0.012 0.964
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.5835 0.8922 0.000 0.660 0.340
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.6307 0.6912 0.660 0.328 0.012
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 2 0.6026 0.8902 0.000 0.624 0.376
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.8494 1.000 0.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.8494 1.000 0.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.8494 1.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.5650 0.8841 0.000 0.688 0.312
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.4521 0.7858 0.816 0.180 0.004
#> D336B440-AEFF-428A-B92D-A4315400B199 2 0.5951 0.7056 0.040 0.764 0.196
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 3 0.7617 0.7247 0.152 0.160 0.688
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0424 0.8448 0.992 0.000 0.008
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 3 0.6079 0.6359 0.388 0.000 0.612
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.8494 1.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 3 0.8379 0.6935 0.208 0.168 0.624
#> 46859620-8B87-4425-835F-7960023E4B07 3 0.6008 0.6488 0.372 0.000 0.628
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0592 0.5692 0.000 0.988 0.012
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 3 0.0592 0.5569 0.000 0.012 0.988
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.6026 0.8902 0.000 0.624 0.376
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.5859 0.8925 0.000 0.656 0.344
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.8494 1.000 0.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.3784 0.8133 0.864 0.132 0.004
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.5982 0.6977 0.668 0.328 0.004
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.3715 0.8150 0.868 0.128 0.004
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.4654 0.6584 0.000 0.208 0.792
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.5835 0.8922 0.000 0.660 0.340
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.8494 1.000 0.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.6008 0.8916 0.000 0.628 0.372
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.0592 0.5569 0.000 0.012 0.988
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0747 0.8398 0.984 0.000 0.016
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.8494 1.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.6148 0.6751 0.640 0.356 0.004
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.0592 0.5569 0.000 0.012 0.988
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.4504 0.7340 0.804 0.196 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.8494 1.000 0.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.6026 0.8902 0.000 0.624 0.376
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.4861 0.7803 0.808 0.180 0.012
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.5810 0.8917 0.000 0.664 0.336
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0237 0.8486 0.996 0.004 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.8494 1.000 0.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.6200 0.7031 0.676 0.312 0.012
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.2860 0.8318 0.912 0.084 0.004
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.5650 0.8841 0.000 0.688 0.312
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.4700 0.7285 0.180 0.008 0.812
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.8171 0.5512 0.644 0.184 0.172
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.4326 0.7069 0.144 0.012 0.844
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.5919 0.7288 0.712 0.276 0.012
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0983 0.5688 0.004 0.980 0.016
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.4682 0.5469 0.192 0.804 0.004
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.6057 0.6843 0.656 0.340 0.004
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.8494 1.000 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 3 0.8379 0.6941 0.208 0.168 0.624
#> DF9D7119-111B-49A5-8D4D-B625631CC450 3 0.8379 0.6941 0.208 0.168 0.624
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.8494 1.000 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4521 0.7858 0.816 0.180 0.004
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.8494 1.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.0424 0.5611 0.000 0.008 0.992
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.8494 1.000 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.8494 1.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.5706 0.6831 0.320 0.000 0.680
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0237 0.8473 0.996 0.000 0.004
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.8494 1.000 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.8494 1.000 0.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.5760 0.8904 0.000 0.672 0.328
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.8494 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.6617 0.6376 0.600 0.388 0.012
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.6008 -0.4873 0.000 0.372 0.628
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.6008 0.8916 0.000 0.628 0.372
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.5020 0.7231 0.192 0.012 0.796
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.6307 0.6912 0.660 0.328 0.012
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4861 0.7803 0.808 0.180 0.012
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.8494 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.6026 0.8902 0.000 0.624 0.376
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.8494 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 3 0.6079 0.6359 0.388 0.000 0.612
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.5988 0.8924 0.000 0.632 0.368
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.6008 0.8916 0.000 0.628 0.372
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.4390 0.7096 0.148 0.012 0.840
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4521 0.7858 0.816 0.180 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.4351 0.7935 0.828 0.168 0.004
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0424 0.8448 0.992 0.000 0.008
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.3918 0.8092 0.856 0.140 0.004
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5277 0.7731 0.796 0.180 0.024
#> CA9D8784-2354-40CF-98D6-B54D0B780487 3 0.6062 0.6399 0.384 0.000 0.616
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.8494 1.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.6402 0.2688 0.040 0.236 0.724
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.0592 0.5569 0.000 0.012 0.988
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1878 0.8421 0.952 0.044 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0592 0.5692 0.000 0.988 0.012
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.5760 0.6654 0.000 0.328 0.672
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.3129 0.8355 0.904 0.088 0.008
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.6008 0.8916 0.000 0.628 0.372
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.6566 0.6501 0.612 0.376 0.012
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.6045 0.8885 0.000 0.620 0.380
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.5760 0.8904 0.000 0.672 0.328
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.5760 0.8904 0.000 0.672 0.328
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.5650 0.8841 0.000 0.688 0.312
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0237 0.8473 0.996 0.000 0.004
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.3941 0.6726 0.000 0.156 0.844
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0892 0.8386 0.980 0.000 0.020
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.1964 0.4822 0.000 0.056 0.944
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.5235 0.5988 0.152 0.812 0.036
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.6026 0.8902 0.000 0.624 0.376
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 3 0.6062 0.6395 0.384 0.000 0.616
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.1163 0.5332 0.000 0.028 0.972
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3112 0.8277 0.900 0.096 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 3 0.8321 0.6922 0.228 0.148 0.624
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.6026 0.8902 0.000 0.624 0.376
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5020 0.7760 0.796 0.192 0.012
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.4008 0.71083 0.000 0.000 0.244 0.756
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.4888 0.45525 0.000 0.000 0.412 0.588
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.0336 0.86135 0.008 0.000 0.000 0.992
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.1118 0.83276 0.000 0.036 0.964 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.7286 0.09444 0.156 0.000 0.480 0.364
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1211 0.83810 0.960 0.040 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.4877 0.46339 0.000 0.000 0.408 0.592
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4941 0.20262 0.436 0.000 0.000 0.564
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.3907 0.69625 0.232 0.768 0.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4008 0.71074 0.000 0.000 0.244 0.756
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.4898 0.44707 0.000 0.000 0.416 0.584
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4697 0.47419 0.000 0.000 0.644 0.356
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0469 0.85801 0.988 0.000 0.000 0.012
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.3528 0.69170 0.808 0.000 0.192 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.3975 0.71423 0.000 0.000 0.240 0.760
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.86421 1.000 0.000 0.000 0.000
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#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.4877 0.40398 0.000 0.000 0.592 0.408
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3610 0.74231 0.000 0.000 0.200 0.800
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.3610 0.62952 0.000 0.000 0.800 0.200
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.4072 0.70320 0.000 0.000 0.252 0.748
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.7771 0.10370 0.252 0.000 0.420 0.328
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.6330 0.52558 0.144 0.000 0.656 0.200
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0336 0.84767 0.000 0.008 0.992 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.6917 0.54267 0.000 0.208 0.592 0.200
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.4164 0.68894 0.000 0.000 0.264 0.736
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.0336 0.86218 0.000 0.000 0.008 0.992
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.4679 0.47098 0.352 0.648 0.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.4898 0.44702 0.000 0.000 0.416 0.584
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.4713 0.55211 0.000 0.000 0.360 0.640
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4277 0.66978 0.000 0.000 0.280 0.720
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.2760 0.77480 0.128 0.000 0.000 0.872
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.4072 0.70275 0.000 0.000 0.252 0.748
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.7282 0.13106 0.148 0.000 0.416 0.436
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0000 0.86497 0.000 0.000 0.000 1.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.1913 0.82894 0.940 0.040 0.000 0.020
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.2921 0.79284 0.000 0.000 0.140 0.860
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0188 0.86241 0.996 0.000 0.004 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.2530 0.81104 0.000 0.000 0.112 0.888
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0000 0.85117 0.000 0.000 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.3172 0.79485 0.160 0.840 0.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.1940 0.81986 0.076 0.000 0.000 0.924
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0592 0.85597 0.984 0.000 0.016 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0336 0.86121 0.008 0.000 0.000 0.992
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4522 0.50153 0.680 0.320 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6661 0.50176 0.000 0.264 0.604 0.132
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.0000 0.96088 0.000 1.000 0.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.2345 0.78596 0.900 0.100 0.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.4072 0.70320 0.000 0.000 0.252 0.748
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.86421 1.000 0.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.1302 0.92012 0.000 0.956 0.000 0.044
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.4955 0.38409 0.000 0.000 0.444 0.556
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1608 0.8559 0.928 0.000 0.072 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0693 0.8709 0.008 0.000 0.980 0.000 0.012
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.2179 0.8175 0.112 0.000 0.000 0.000 0.888
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2732 0.8180 0.840 0.000 0.160 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0609 0.8542 0.980 0.000 0.000 0.020 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.1408 0.8622 0.044 0.000 0.000 0.008 0.948
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0324 0.8580 0.992 0.000 0.000 0.004 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4933 0.5595 0.692 0.000 0.000 0.228 0.080
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1197 0.8554 0.952 0.000 0.000 0.048 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.0613 0.8686 0.000 0.004 0.984 0.004 0.008
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0865 0.9325 0.000 0.972 0.004 0.024 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3561 0.7285 0.740 0.000 0.260 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.4174 0.8106 0.124 0.044 0.000 0.028 0.804
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.1357 0.9288 0.000 0.948 0.004 0.048 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.1357 0.8557 0.000 0.048 0.000 0.004 0.948
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2966 0.8015 0.816 0.000 0.184 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.2719 0.7647 0.004 0.000 0.000 0.852 0.144
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.3756 0.6807 0.000 0.744 0.000 0.008 0.248
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1952 0.8549 0.912 0.000 0.084 0.004 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2966 0.8015 0.816 0.000 0.184 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0671 0.9329 0.000 0.980 0.004 0.016 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.4147 0.6085 0.316 0.000 0.676 0.008 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.0566 0.8646 0.012 0.000 0.000 0.004 0.984
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0955 0.8611 0.000 0.004 0.968 0.028 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.0880 0.8617 0.032 0.000 0.000 0.000 0.968
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.3932 0.5762 0.328 0.000 0.000 0.000 0.672
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.5393 0.6188 0.260 0.000 0.048 0.028 0.664
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.1579 0.9174 0.000 0.944 0.000 0.032 0.024
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1908 0.8524 0.908 0.000 0.092 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0955 0.9257 0.000 0.968 0.000 0.028 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9324 0.000 1.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.1205 0.9303 0.000 0.956 0.004 0.040 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.1074 0.8642 0.004 0.016 0.000 0.012 0.968
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2891 0.8078 0.824 0.000 0.176 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9324 0.000 1.000 0.000 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4161 0.4476 0.608 0.000 0.000 0.000 0.392
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.5365 0.6058 0.116 0.000 0.000 0.656 0.228
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.3756 0.6799 0.008 0.000 0.248 0.000 0.744
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.0880 0.8617 0.032 0.000 0.000 0.000 0.968
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.0324 0.8650 0.000 0.004 0.000 0.004 0.992
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.5323 0.5439 0.004 0.000 0.076 0.644 0.276
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0451 0.8584 0.988 0.000 0.000 0.004 0.008
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4465 0.5264 0.000 0.304 0.000 0.672 0.024
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.5719 0.4541 0.284 0.000 0.120 0.596 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.1356 0.8286 0.028 0.012 0.004 0.956 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0865 0.9335 0.000 0.972 0.000 0.024 0.004
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.1792 0.8560 0.084 0.000 0.000 0.916 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.1331 0.9203 0.000 0.952 0.000 0.040 0.008
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.0000 0.8648 0.000 0.000 0.000 0.000 1.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.2983 0.8155 0.056 0.000 0.076 0.868 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.1608 0.8559 0.928 0.000 0.072 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.0324 0.8650 0.000 0.004 0.000 0.004 0.992
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.5119 0.5631 0.060 0.004 0.656 0.280 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 5 0.3430 0.7170 0.004 0.000 0.220 0.000 0.776
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.0324 0.8650 0.000 0.004 0.000 0.004 0.992
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.1965 0.8567 0.096 0.000 0.000 0.904 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.1774 0.8365 0.000 0.052 0.932 0.016 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.1484 0.9282 0.000 0.944 0.008 0.048 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.4431 0.6355 0.000 0.216 0.732 0.052 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 5 0.0510 0.8647 0.016 0.000 0.000 0.000 0.984
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.1205 0.9217 0.000 0.956 0.000 0.040 0.004
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#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.1908 0.8524 0.908 0.000 0.092 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.0404 0.8652 0.012 0.000 0.000 0.000 0.988
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.3661 0.7090 0.724 0.000 0.276 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.1981 0.8491 0.000 0.048 0.000 0.028 0.924
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.3480 0.7422 0.752 0.000 0.248 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0854 0.8702 0.008 0.004 0.976 0.012 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.5197 0.5744 0.008 0.056 0.652 0.284 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.1638 0.8428 0.064 0.000 0.932 0.004 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0510 0.8557 0.984 0.000 0.000 0.016 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.0510 0.8647 0.016 0.000 0.000 0.000 0.984
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.0510 0.8647 0.016 0.000 0.000 0.000 0.984
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.1043 0.8445 0.960 0.000 0.000 0.040 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.2179 0.8445 0.888 0.000 0.112 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0324 0.8580 0.992 0.000 0.000 0.004 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.2209 0.8422 0.000 0.056 0.000 0.032 0.912
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1965 0.8567 0.096 0.000 0.000 0.904 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.0566 0.8654 0.012 0.000 0.000 0.004 0.984
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.3661 0.6868 0.276 0.000 0.000 0.724 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.1792 0.8560 0.084 0.000 0.000 0.916 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0324 0.9331 0.000 0.992 0.004 0.004 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0510 0.8567 0.984 0.000 0.000 0.016 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.4367 0.4298 0.000 0.372 0.000 0.008 0.620
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9324 0.000 1.000 0.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.0703 0.8637 0.024 0.000 0.000 0.000 0.976
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2813 0.8127 0.832 0.000 0.168 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3661 0.5810 0.724 0.000 0.000 0.276 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0566 0.9305 0.000 0.984 0.000 0.004 0.012
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1908 0.8573 0.092 0.000 0.000 0.908 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4101 0.4891 0.628 0.000 0.000 0.000 0.372
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.1124 0.9311 0.000 0.960 0.004 0.036 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.1041 0.9241 0.000 0.964 0.000 0.032 0.004
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.0162 0.8647 0.004 0.000 0.000 0.000 0.996
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.2516 0.8306 0.860 0.000 0.140 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.2074 0.8480 0.896 0.000 0.104 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.3563 0.7941 0.060 0.008 0.000 0.840 0.092
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2020 0.8499 0.900 0.000 0.100 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.3480 0.7423 0.752 0.000 0.248 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.0609 0.8641 0.020 0.000 0.000 0.000 0.980
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.1851 0.8566 0.088 0.000 0.000 0.912 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.5253 0.4655 0.000 0.044 0.008 0.340 0.608
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.0324 0.8650 0.000 0.004 0.000 0.004 0.992
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.1341 0.8594 0.944 0.000 0.056 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.2787 0.8024 0.000 0.004 0.136 0.004 0.856
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0807 0.8589 0.976 0.000 0.012 0.012 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.1041 0.9241 0.000 0.964 0.000 0.032 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0290 0.8757 0.008 0.000 0.992 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.4849 0.6739 0.000 0.724 0.000 0.136 0.140
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.3861 0.5796 0.000 0.264 0.008 0.728 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.1557 0.9276 0.000 0.940 0.008 0.052 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1792 0.8383 0.916 0.000 0.000 0.000 0.084
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.4017 0.7993 0.000 0.060 0.084 0.032 0.824
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2824 0.8424 0.116 0.000 0.000 0.864 0.020
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.6714 0.2515 0.004 0.264 0.000 0.468 0.264
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.4678 0.6547 0.000 0.064 0.712 0.224 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.3210 0.6830 0.000 0.212 0.000 0.788 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.1732 0.8385 0.080 0.000 0.000 0.000 0.920
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2660 0.8078 0.000 0.128 0.000 0.008 0.864
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1965 0.8510 0.904 0.000 0.096 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.1732 0.8383 0.080 0.000 0.000 0.000 0.920
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1571 0.8018 0.004 0.060 0.000 0.936 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3210 0.7774 0.788 0.000 0.212 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0547 0.88395 0.980 0.000 0.000 0.000 0.000 0.020
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3971 0.15742 0.004 0.000 0.548 0.000 0.448 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 6 0.0622 0.79765 0.008 0.000 0.000 0.000 0.012 0.980
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2340 0.81007 0.852 0.000 0.148 0.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0972 0.88155 0.964 0.000 0.000 0.028 0.000 0.008
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 6 0.4920 0.40167 0.064 0.000 0.000 0.004 0.352 0.580
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1327 0.86650 0.936 0.000 0.000 0.000 0.000 0.064
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 6 0.5348 0.46994 0.216 0.000 0.000 0.192 0.000 0.592
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1863 0.86181 0.920 0.000 0.000 0.004 0.060 0.016
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.3807 0.35913 0.004 0.000 0.628 0.000 0.368 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.0405 0.81478 0.000 0.004 0.988 0.000 0.000 0.008
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1556 0.82792 0.000 0.920 0.000 0.000 0.080 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3566 0.70408 0.744 0.000 0.236 0.000 0.020 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 6 0.4008 0.64770 0.064 0.000 0.000 0.000 0.196 0.740
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.1204 0.83062 0.000 0.944 0.000 0.000 0.056 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 6 0.3869 0.07951 0.000 0.000 0.000 0.000 0.500 0.500
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2805 0.77744 0.812 0.000 0.184 0.000 0.000 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.4161 0.41286 0.004 0.000 0.000 0.348 0.016 0.632
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.6186 0.14012 0.000 0.432 0.004 0.004 0.336 0.224
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0458 0.88447 0.984 0.000 0.016 0.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2562 0.79005 0.828 0.000 0.172 0.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.1910 0.82238 0.000 0.892 0.000 0.000 0.108 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.3797 0.55758 0.292 0.000 0.692 0.016 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 6 0.0858 0.79473 0.000 0.000 0.004 0.000 0.028 0.968
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.2443 0.77376 0.000 0.096 0.880 0.020 0.004 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 6 0.1480 0.79500 0.040 0.000 0.000 0.000 0.020 0.940
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 6 0.3411 0.64744 0.232 0.000 0.000 0.004 0.008 0.756
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.5319 0.25709 0.388 0.000 0.000 0.000 0.504 0.108
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.1556 0.67047 0.000 0.080 0.000 0.000 0.920 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0713 0.88272 0.972 0.000 0.028 0.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.3607 0.60421 0.000 0.652 0.000 0.000 0.348 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.2664 0.78826 0.000 0.816 0.000 0.000 0.184 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0146 0.89876 0.000 0.004 0.000 0.996 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.2003 0.81892 0.000 0.884 0.000 0.000 0.116 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3215 0.51594 0.000 0.000 0.004 0.000 0.756 0.240
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2703 0.78947 0.824 0.000 0.172 0.000 0.000 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.2823 0.77086 0.000 0.796 0.000 0.000 0.204 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 6 0.1327 0.78790 0.064 0.000 0.000 0.000 0.000 0.936
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.5512 0.48707 0.052 0.000 0.000 0.600 0.060 0.288
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.6090 0.17457 0.004 0.000 0.268 0.000 0.448 0.280
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0146 0.89876 0.000 0.004 0.000 0.996 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 6 0.1865 0.79400 0.040 0.000 0.000 0.000 0.040 0.920
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.3930 0.13715 0.000 0.000 0.004 0.000 0.576 0.420
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.5368 0.09202 0.000 0.000 0.068 0.492 0.016 0.424
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.1610 0.85361 0.916 0.000 0.000 0.000 0.000 0.084
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.3081 0.56915 0.000 0.004 0.000 0.220 0.776 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.5596 0.03614 0.476 0.000 0.032 0.428 0.064 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0260 0.89827 0.000 0.008 0.000 0.992 0.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.3151 0.71828 0.000 0.748 0.000 0.000 0.252 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.1700 0.89132 0.012 0.000 0.000 0.936 0.028 0.024
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.3607 0.21627 0.000 0.348 0.000 0.000 0.652 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 6 0.1327 0.79163 0.000 0.000 0.000 0.000 0.064 0.936
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.2377 0.84822 0.000 0.000 0.076 0.892 0.008 0.024
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.88469 1.000 0.000 0.000 0.000 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 6 0.3468 0.57616 0.000 0.000 0.004 0.000 0.284 0.712
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.4905 0.52943 0.000 0.096 0.620 0.284 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 6 0.5945 0.28058 0.008 0.000 0.188 0.000 0.312 0.492
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0146 0.83175 0.000 0.996 0.000 0.000 0.004 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 6 0.3468 0.57658 0.000 0.000 0.004 0.000 0.284 0.712
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0260 0.83247 0.000 0.992 0.000 0.000 0.008 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0806 0.89678 0.020 0.000 0.000 0.972 0.008 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.0632 0.80994 0.000 0.024 0.976 0.000 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0547 0.83279 0.000 0.980 0.000 0.000 0.020 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.3765 0.43805 0.000 0.404 0.596 0.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.0363 0.89798 0.000 0.000 0.000 0.988 0.000 0.012
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 6 0.1010 0.79367 0.000 0.000 0.004 0.000 0.036 0.960
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.3867 0.33873 0.000 0.512 0.000 0.000 0.488 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.3866 -0.23323 0.000 0.484 0.000 0.000 0.516 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.4371 0.35449 0.000 0.000 0.344 0.000 0.620 0.036
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#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.1003 0.89623 0.020 0.000 0.000 0.964 0.016 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.3482 0.65214 0.000 0.684 0.000 0.000 0.316 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.1957 0.65722 0.000 0.000 0.000 0.000 0.888 0.112
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.1049 0.88006 0.960 0.000 0.000 0.008 0.000 0.032
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0146 0.89905 0.004 0.000 0.000 0.996 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.2219 0.73509 0.136 0.000 0.864 0.000 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.2482 0.63522 0.000 0.000 0.004 0.000 0.848 0.148
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.5012 0.51457 0.020 0.056 0.620 0.304 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.0748 0.89506 0.016 0.004 0.000 0.976 0.004 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.1863 0.65972 0.000 0.104 0.000 0.000 0.896 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3690 0.70584 0.004 0.000 0.188 0.776 0.008 0.024
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.2491 0.79853 0.000 0.836 0.000 0.000 0.164 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.89910 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.1563 0.87687 0.056 0.000 0.000 0.932 0.012 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.3971 0.01751 0.448 0.000 0.548 0.000 0.000 0.004
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0632 0.88349 0.976 0.000 0.024 0.000 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 6 0.1700 0.78665 0.004 0.000 0.000 0.000 0.080 0.916
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.4320 0.64441 0.692 0.000 0.264 0.000 0.020 0.024
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 6 0.3565 0.56069 0.000 0.000 0.000 0.004 0.304 0.692
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.3487 0.71934 0.756 0.000 0.224 0.000 0.020 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.1908 0.75941 0.004 0.000 0.900 0.000 0.096 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.5336 0.56105 0.000 0.228 0.592 0.180 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.2151 0.78125 0.072 0.008 0.904 0.016 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0909 0.88359 0.968 0.000 0.000 0.020 0.000 0.012
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 6 0.0777 0.79453 0.000 0.000 0.004 0.000 0.024 0.972
#> DF9D7119-111B-49A5-8D4D-B625631CC450 6 0.0777 0.79453 0.000 0.000 0.004 0.000 0.024 0.972
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.1010 0.87950 0.960 0.000 0.000 0.036 0.000 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0935 0.88162 0.964 0.000 0.032 0.000 0.000 0.004
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1196 0.87621 0.952 0.000 0.000 0.008 0.000 0.040
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.2048 0.65695 0.000 0.000 0.000 0.000 0.880 0.120
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.1003 0.89623 0.020 0.000 0.000 0.964 0.016 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0146 0.89972 0.004 0.000 0.000 0.996 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 6 0.1949 0.78324 0.004 0.000 0.000 0.004 0.088 0.904
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0146 0.89924 0.000 0.000 0.000 0.996 0.004 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.2312 0.82911 0.112 0.000 0.000 0.876 0.000 0.012
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.1991 0.88259 0.012 0.000 0.000 0.920 0.044 0.024
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.2178 0.81617 0.000 0.868 0.000 0.000 0.132 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.1088 0.88288 0.960 0.000 0.000 0.016 0.000 0.024
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2442 0.68562 0.000 0.048 0.000 0.000 0.884 0.068
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.3126 0.73494 0.000 0.752 0.000 0.000 0.248 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 6 0.1010 0.79585 0.004 0.000 0.000 0.000 0.036 0.960
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.2527 0.79311 0.832 0.000 0.168 0.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.3706 0.45133 0.620 0.000 0.000 0.380 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.3860 0.32463 0.000 0.528 0.000 0.000 0.472 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.89910 0.000 0.000 0.000 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 6 0.1556 0.78122 0.080 0.000 0.000 0.000 0.000 0.920
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.1610 0.82759 0.000 0.916 0.000 0.000 0.084 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.3672 0.19695 0.000 0.368 0.000 0.000 0.632 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 6 0.1082 0.79615 0.004 0.000 0.000 0.000 0.040 0.956
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1501 0.86110 0.924 0.000 0.076 0.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0790 0.88160 0.968 0.000 0.032 0.000 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.4421 0.77547 0.068 0.000 0.000 0.764 0.116 0.052
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0790 0.88160 0.968 0.000 0.032 0.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.3284 0.75216 0.784 0.000 0.196 0.000 0.020 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 6 0.0603 0.79740 0.004 0.000 0.000 0.000 0.016 0.980
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0820 0.89825 0.012 0.000 0.000 0.972 0.016 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 6 0.4977 0.61605 0.000 0.064 0.004 0.200 0.036 0.696
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.3531 0.51191 0.000 0.000 0.000 0.000 0.328 0.672
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0146 0.88461 0.996 0.000 0.004 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 6 0.4357 0.60586 0.000 0.000 0.224 0.000 0.076 0.700
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0260 0.88459 0.992 0.000 0.000 0.008 0.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.3857 0.35593 0.000 0.532 0.000 0.000 0.468 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0146 0.82067 0.004 0.000 0.996 0.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.6592 -0.11494 0.000 0.384 0.000 0.100 0.424 0.092
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.3956 0.61316 0.000 0.292 0.000 0.684 0.024 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.83045 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2941 0.70679 0.780 0.000 0.000 0.000 0.000 0.220
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.2404 0.67235 0.000 0.000 0.036 0.000 0.884 0.080
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.2295 0.87119 0.052 0.000 0.000 0.904 0.016 0.028
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.1049 0.68750 0.000 0.000 0.000 0.032 0.960 0.008
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.5062 0.60207 0.000 0.196 0.636 0.168 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.3094 0.79936 0.000 0.036 0.000 0.824 0.140 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 6 0.0622 0.79754 0.008 0.000 0.000 0.000 0.012 0.980
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2489 0.65820 0.000 0.012 0.000 0.000 0.860 0.128
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0713 0.88272 0.972 0.000 0.028 0.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 6 0.1390 0.79678 0.032 0.000 0.004 0.000 0.016 0.948
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.1957 0.84728 0.000 0.000 0.000 0.888 0.112 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2664 0.77851 0.816 0.000 0.184 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.547 0.738 0.881 0.4559 0.500 0.500
#> 3 3 0.632 0.800 0.902 0.2668 0.910 0.824
#> 4 4 0.499 0.412 0.800 0.1067 0.989 0.976
#> 5 5 0.511 0.503 0.719 0.1013 0.796 0.549
#> 6 6 0.589 0.640 0.797 0.0667 0.881 0.631
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9226 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.9710 0.0994 0.600 0.400
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9226 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9226 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.9226 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9226 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 2 0.9944 0.4381 0.456 0.544
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5842 0.7696 0.860 0.140
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9226 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 2 0.9944 0.4381 0.456 0.544
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.9996 -0.2714 0.512 0.488
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0000 0.9226 1.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.1633 0.9032 0.976 0.024
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.7725 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9226 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 2 0.9358 0.5721 0.352 0.648
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.9129 0.3603 0.672 0.328
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9226 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.7725 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.0376 0.7715 0.004 0.996
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9226 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9226 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.8267 0.6546 0.260 0.740
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9226 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9226 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.7725 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9226 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9226 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9226 1.000 0.000
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#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9226 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.0000 0.7725 0.000 1.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.7725 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 2 0.9944 0.4381 0.456 0.544
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9226 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9226 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9226 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.7725 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9226 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.4815 0.8181 0.896 0.104
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.7725 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.7725 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 2 0.9944 0.4381 0.456 0.544
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9226 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9226 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9226 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9226 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9226 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.9635 0.1486 0.612 0.388
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9226 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.9226 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 2 0.2948 0.7577 0.052 0.948
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9226 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.5629 0.7813 0.868 0.132
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9226 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 2 0.9944 0.4381 0.456 0.544
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.7725 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9226 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.6247 0.7313 0.844 0.156
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.8608 0.6359 0.284 0.716
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.9944 0.4381 0.456 0.544
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.7725 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9226 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 2 0.9944 0.4381 0.456 0.544
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9226 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 2 0.8763 0.6258 0.296 0.704
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.7299 0.6652 0.796 0.204
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 2 0.9248 0.5845 0.340 0.660
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9226 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 2 0.0000 0.7725 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9226 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9226 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 2 0.8207 0.6571 0.256 0.744
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9226 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.910 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.6126 0.287 0.600 0.000 0.400
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.910 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.910 1.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.0000 0.910 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.910 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.0000 0.825 0.000 0.000 1.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3686 0.795 0.860 0.000 0.140
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0747 0.900 0.984 0.000 0.016
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.0424 0.825 0.008 0.000 0.992
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.6308 0.128 0.492 0.000 0.508
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0000 0.910 1.000 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.1031 0.896 0.976 0.000 0.024
#> B74635F7-8705-4A16-8985-82A5A26DCC88 3 0.5397 0.720 0.000 0.280 0.720
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.910 1.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.0000 0.825 0.000 0.000 1.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.5760 0.483 0.672 0.000 0.328
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.910 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.5291 0.733 0.000 0.268 0.732
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.4346 0.786 0.000 0.184 0.816
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.910 1.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.910 1.000 0.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0237 0.824 0.004 0.000 0.996
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.910 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.910 1.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.4887 0.766 0.000 0.228 0.772
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.910 1.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.910 1.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.910 1.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.4654 0.711 0.208 0.000 0.792
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.0000 0.825 0.000 0.000 1.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.0000 0.825 0.000 0.000 1.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.0000 0.825 0.000 0.000 1.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.910 1.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.4887 0.766 0.000 0.228 0.772
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 3 0.4974 0.761 0.000 0.236 0.764
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.0000 0.910 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.910 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.5397 0.721 0.000 0.280 0.720
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 3 0.6291 0.217 0.468 0.000 0.532
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.946 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.910 1.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4887 0.766 0.000 0.228 0.772
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.946 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.910 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.2261 0.866 0.932 0.000 0.068
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.910 1.000 0.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.6286 0.317 0.536 0.000 0.464
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 3 0.1964 0.815 0.056 0.000 0.944
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.3941 0.756 0.156 0.000 0.844
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.910 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.946 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 3 0.0424 0.823 0.008 0.000 0.992
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 3 0.0000 0.825 0.000 0.000 1.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.910 1.000 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4834 0.730 0.792 0.004 0.204
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 3 0.5363 0.725 0.000 0.276 0.724
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.910 1.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.2165 0.822 0.000 0.064 0.936
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.1753 0.824 0.000 0.048 0.952
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.910 1.000 0.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.946 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 3 0.6008 0.490 0.372 0.000 0.628
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.0000 0.825 0.000 0.000 1.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 1 0.0000 0.910 1.000 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4504 0.728 0.804 0.000 0.196
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.6057 0.387 0.340 0.004 0.656
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.4605 0.777 0.000 0.204 0.796
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.946 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4887 0.707 0.772 0.000 0.228
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.5597 0.768 0.020 0.216 0.764
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.2261 0.821 0.000 0.068 0.932
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4702 0.664 0.212 0.788 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0000 0.825 0.000 0.000 1.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.4702 0.706 0.788 0.000 0.212
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.4887 0.766 0.000 0.228 0.772
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.4887 0.766 0.000 0.228 0.772
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0237 0.908 0.996 0.000 0.004
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.910 1.000 0.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.946 0.000 1.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.2625 0.788 0.084 0.000 0.916
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 3 0.0000 0.825 0.000 0.000 1.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0424 0.906 0.992 0.000 0.008
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.6140 0.275 0.596 0.000 0.404
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.910 1.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.0000 0.910 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 3 0.4796 0.699 0.220 0.000 0.780
#> AB004080-5726-47A9-A172-EA3640F63257 3 0.0000 0.825 0.000 0.000 1.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.0000 0.910 1.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.910 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.910 1.000 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.910 1.000 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.910 1.000 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.910 1.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.910 1.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.910 1.000 0.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.910 1.000 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.910 1.000 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0592 0.933 0.000 0.988 0.012
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.946 0.000 1.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.946 0.000 1.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 3 0.4887 0.766 0.000 0.228 0.772
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.910 1.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.3889 0.820 0.884 0.084 0.032
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.6308 0.227 0.508 0.000 0.492
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 3 0.4887 0.766 0.000 0.228 0.772
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.6244 0.327 0.560 0.000 0.440
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 3 0.5178 0.744 0.000 0.256 0.744
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.6126 0.287 0.600 0.000 0.400
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.910 1.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.910 1.000 0.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.946 0.000 1.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.6008 0.370 0.628 0.000 0.372
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.3686 0.795 0.860 0.000 0.140
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 3 0.0000 0.825 0.000 0.000 1.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.946 0.000 1.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.946 0.000 1.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.910 1.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 3 0.0000 0.825 0.000 0.000 1.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.910 1.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.910 1.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.910 1.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.910 1.000 0.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 3 0.0000 0.825 0.000 0.000 1.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.910 1.000 0.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 3 0.0000 0.825 0.000 0.000 1.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.910 1.000 0.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.946 0.000 1.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.910 1.000 0.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.6045 0.519 0.620 0.000 0.380
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.946 0.000 1.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.6008 0.370 0.628 0.000 0.372
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.946 0.000 1.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 3 0.4887 0.766 0.000 0.228 0.772
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.910 1.000 0.000 0.000
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#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.4887 0.766 0.000 0.228 0.772
#> 64DE217D-A810-481E-A654-7D1B36D2858E 1 0.0424 0.906 0.992 0.000 0.008
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 3 0.4452 0.783 0.000 0.192 0.808
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.1529 0.824 0.000 0.040 0.960
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.946 0.000 1.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.946 0.000 1.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 3 0.4121 0.793 0.000 0.168 0.832
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.6302 -0.255 0.000 0.520 0.480
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 3 0.3619 0.805 0.000 0.136 0.864
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 3 0.6140 0.412 0.404 0.000 0.596
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.5835 0.589 0.660 0.000 0.340
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 3 0.4931 0.764 0.000 0.232 0.768
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.910 1.000 0.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.910 1.000 0.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.946 0.000 1.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.910 1.000 0.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0592 0.904 0.988 0.000 0.012
#> 9E9640CE-68E4-402B-87B4-805A425009B2 3 0.0000 0.825 0.000 0.000 1.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.2448 0.855 0.924 0.000 0.076
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 1 0.0000 0.910 1.000 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.0000 0.910 1.000 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.4178 0.761 0.828 0.000 0.172
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 3 0.2356 0.820 0.000 0.072 0.928
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.910 1.000 0.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 3 0.0237 0.825 0.000 0.004 0.996
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.910 1.000 0.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.5058 0.654 0.756 0.000 0.244
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 3 0.0000 0.825 0.000 0.000 1.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.910 1.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 3 0.0000 0.825 0.000 0.000 1.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.4887 0.766 0.000 0.228 0.772
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.4887 0.707 0.772 0.000 0.228
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 3 0.0000 0.825 0.000 0.000 1.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 3 0.1753 0.801 0.048 0.000 0.952
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.4974 0.668 0.764 0.000 0.236
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.6154 0.264 0.592 0.000 0.408
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.946 0.000 1.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.910 1.000 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 3 0.0892 0.825 0.020 0.000 0.980
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 3 0.6154 0.401 0.408 0.000 0.592
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.4504 0.744 0.804 0.000 0.196
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 3 0.4887 0.690 0.228 0.000 0.772
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.910 1.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.910 1.000 0.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 3 0.0000 0.825 0.000 0.000 1.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.6235 0.163 0.564 0.000 0.436
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 3 0.0000 0.825 0.000 0.000 1.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 3 0.0000 0.825 0.000 0.000 1.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.6302 -0.255 0.000 0.520 0.480
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.910 1.000 0.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.910 1.000 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.910 1.000 0.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.910 1.000 0.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.4842 0.694 0.224 0.000 0.776
#> 3F79FC21-B181-42FE-914B-CC298BD72343 3 0.5016 0.758 0.000 0.240 0.760
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.4887 0.707 0.772 0.000 0.228
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 3 0.4887 0.766 0.000 0.228 0.772
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.4178 0.791 0.000 0.172 0.828
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 3 0.4178 0.671 0.172 0.000 0.828
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.910 1.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.910 1.000 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.4887 0.766 0.000 0.228 0.772
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.910 1.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.1643 0.881 0.956 0.000 0.044
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.4887 0.766 0.000 0.228 0.772
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.910 1.000 0.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 3 0.4887 0.766 0.000 0.228 0.772
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.3267 0.822 0.884 0.000 0.116
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.4887 0.707 0.772 0.000 0.228
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.910 1.000 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.910 1.000 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.946 0.000 1.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.0000 0.825 0.000 0.000 1.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.910 1.000 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.0000 0.825 0.000 0.000 1.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.910 1.000 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.4887 0.690 0.228 0.000 0.772
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.4887 0.634 0.228 0.772 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.910 1.000 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.910 1.000 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.910 1.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.910 1.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.1860 0.877 0.948 0.000 0.052
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.910 1.000 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 3 0.6045 0.471 0.380 0.000 0.620
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.0000 0.825 0.000 0.000 1.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.4931 0.704 0.768 0.000 0.232
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.910 1.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.3619 0.772 0.136 0.000 0.864
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4931 0.717 0.768 0.000 0.232
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4178 0.768 0.828 0.000 0.172
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.6045 0.440 0.620 0.000 0.380
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.4887 0.766 0.000 0.228 0.772
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.910 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.910 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.0237 0.826 0.000 0.004 0.996
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.1643 0.823 0.000 0.044 0.956
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.0000 0.825 0.000 0.000 1.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.910 1.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.910 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.910 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.4887 0.766 0.000 0.228 0.772
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.4842 0.712 0.776 0.000 0.224
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3038 0.831 0.896 0.000 0.104
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.0000 0.825 0.000 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.4887 0.766 0.000 0.228 0.772
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.4399 0.730 0.188 0.000 0.812
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.910 1.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.910 1.000 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.910 1.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.910 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.910 1.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.6079 0.324 0.612 0.000 0.388
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.4887 0.707 0.772 0.000 0.228
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2096 0.874 0.944 0.004 0.052
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.4399 0.784 0.000 0.188 0.812
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.910 1.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.3551 0.803 0.868 0.000 0.132
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.910 1.000 0.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.2356 0.803 0.072 0.000 0.928
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.4887 0.766 0.000 0.228 0.772
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.910 1.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.6180 0.186 0.416 0.000 0.584
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.0000 0.825 0.000 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.4842 0.695 0.224 0.000 0.776
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.946 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.910 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.0592 0.826 0.012 0.000 0.988
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4887 0.707 0.772 0.000 0.228
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.0000 0.825 0.000 0.000 1.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.4605 0.718 0.796 0.000 0.204
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.0000 0.825 0.000 0.000 1.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.910 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.4887 0.766 0.000 0.228 0.772
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.910 1.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.910 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.0000 0.825 0.000 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.910 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4713 -0.41773 0.640 0.000 0.000 0.360
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4855 0.01906 0.600 0.000 0.400 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.3123 0.33176 0.844 0.000 0.000 0.156
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 3 0.0188 0.76224 0.004 0.000 0.996 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5467 -0.48475 0.612 0.000 0.024 0.364
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0469 0.51334 0.988 0.000 0.012 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 3 0.0804 0.76049 0.008 0.000 0.980 0.012
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.4999 0.02504 0.492 0.000 0.508 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.2704 0.37929 0.876 0.000 0.000 0.124
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.3910 0.30575 0.820 0.000 0.024 0.156
#> B74635F7-8705-4A16-8985-82A5A26DCC88 3 0.7499 0.49330 0.000 0.256 0.500 0.244
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4250 -0.18481 0.724 0.000 0.000 0.276
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 3 0.0592 0.75928 0.000 0.000 0.984 0.016
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.6520 -0.60028 0.552 0.000 0.084 0.364
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.4972 -0.84454 0.544 0.000 0.000 0.456
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.7438 0.51097 0.000 0.244 0.512 0.244
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.3668 0.72294 0.000 0.188 0.808 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0376 0.51646 0.992 0.000 0.004 0.004
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0376 0.76202 0.004 0.004 0.992 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.7416 0.51604 0.000 0.240 0.516 0.244
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.2589 0.39776 0.884 0.000 0.000 0.116
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0188 0.51733 0.996 0.000 0.000 0.004
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 3 0.4327 0.64544 0.216 0.000 0.768 0.016
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 3 0.1489 0.74874 0.004 0.000 0.952 0.044
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 3 0.0469 0.75912 0.000 0.000 0.988 0.012
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 3 0.0000 0.76157 0.000 0.000 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.51835 1.000 0.000 0.000 0.000
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#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 3 0.7766 0.32108 0.000 0.344 0.412 0.244
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.3539 0.20241 0.820 0.000 0.004 0.176
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.3942 0.62780 0.236 0.000 0.764 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 3 0.7438 0.51044 0.000 0.244 0.512 0.244
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.3942 0.27867 0.764 0.000 0.236 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 3 0.7416 0.51604 0.000 0.240 0.516 0.244
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 3 0.3539 0.72795 0.000 0.176 0.820 0.004
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 3 0.3910 0.65679 0.156 0.000 0.820 0.024
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 3 0.6566 0.61953 0.000 0.236 0.624 0.140
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.2647 0.38981 0.880 0.000 0.000 0.120
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.1798 0.48979 0.944 0.000 0.040 0.016
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 3 0.7394 0.51923 0.000 0.236 0.520 0.244
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 3 0.3975 0.70065 0.000 0.240 0.760 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.2589 0.41719 0.884 0.000 0.116 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.3975 0.27435 0.760 0.000 0.240 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.3942 0.79897 0.000 0.764 0.000 0.236
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 3 0.0376 0.76260 0.004 0.000 0.992 0.004
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 3 0.0000 0.76157 0.000 0.000 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.3975 0.62245 0.240 0.000 0.760 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.3942 0.79897 0.000 0.764 0.000 0.236
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0469 0.51043 0.988 0.000 0.000 0.012
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.2060 0.47522 0.932 0.000 0.052 0.016
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.7811 -0.24221 0.380 0.000 0.368 0.252
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 3 0.0376 0.76250 0.000 0.004 0.992 0.004
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.4328 0.26697 0.748 0.000 0.244 0.008
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0188 0.51705 0.996 0.000 0.004 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 3 0.3443 0.71419 0.136 0.000 0.848 0.016
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.4353 0.26837 0.756 0.000 0.232 0.012
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4511 0.30485 0.784 0.000 0.176 0.040
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4804 0.08444 0.616 0.000 0.384 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.7416 0.51604 0.000 0.240 0.516 0.244
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3837 0.02588 0.776 0.000 0.000 0.224
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.3123 0.33176 0.844 0.000 0.000 0.156
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 3 0.0336 0.76268 0.000 0.008 0.992 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.4669 0.68682 0.000 0.052 0.780 0.168
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.0524 0.76220 0.004 0.000 0.988 0.008
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.7394 0.51923 0.000 0.236 0.520 0.244
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.3942 0.27961 0.764 0.000 0.236 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.2861 0.42081 0.888 0.000 0.096 0.016
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 3 0.4008 0.64923 0.000 0.000 0.756 0.244
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.7416 0.51604 0.000 0.240 0.516 0.244
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 3 0.4136 0.66938 0.196 0.000 0.788 0.016
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4477 -0.29612 0.688 0.000 0.000 0.312
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0921 0.49539 0.972 0.000 0.000 0.028
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0469 0.51390 0.988 0.000 0.000 0.012
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.5313 0.02568 0.608 0.000 0.376 0.016
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3975 0.27435 0.760 0.000 0.240 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.3583 0.29599 0.816 0.000 0.004 0.180
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.4095 0.72047 0.000 0.192 0.792 0.016
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4661 -0.40030 0.652 0.000 0.000 0.348
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 1 0.5452 0.17428 0.736 0.000 0.108 0.156
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.2081 0.74467 0.084 0.000 0.916 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.7416 0.51604 0.000 0.240 0.516 0.244
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.51835 1.000 0.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.4907 0.16836 0.420 0.000 0.580 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.0000 0.76157 0.000 0.000 1.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.3907 0.63265 0.232 0.000 0.768 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.3942 0.79897 0.000 0.764 0.000 0.236
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4697 -0.40756 0.644 0.000 0.000 0.356
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.0592 0.76345 0.016 0.000 0.984 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.3942 0.27867 0.764 0.000 0.236 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 3 0.0469 0.75912 0.000 0.000 0.988 0.012
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 1 0.3649 0.26732 0.796 0.000 0.204 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 3 0.0000 0.76157 0.000 0.000 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0469 0.51390 0.988 0.000 0.000 0.012
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.4122 0.70158 0.000 0.236 0.760 0.004
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4624 -0.38080 0.660 0.000 0.000 0.340
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0592 0.51286 0.984 0.000 0.000 0.016
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 3 0.0000 0.76157 0.000 0.000 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4454 -0.28947 0.692 0.000 0.000 0.308
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1410 0.6399 0.940 0.000 0.000 0.060 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.6669 -0.2510 0.368 0.000 0.000 0.232 0.400
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.3039 0.5101 0.808 0.000 0.000 0.192 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 4 0.6553 0.1036 0.204 0.364 0.000 0.432 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.6557 1.000 0.000 0.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.1043 0.7031 0.000 0.000 0.000 0.040 0.960
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3424 0.4424 0.760 0.000 0.000 0.240 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.4731 0.5056 0.328 0.000 0.000 0.640 0.032
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.1981 0.6946 0.016 0.000 0.000 0.064 0.920
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.6252 0.1168 0.328 0.000 0.000 0.164 0.508
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.6423 0.1555 0.220 0.276 0.000 0.504 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 4 0.6553 0.1036 0.204 0.364 0.000 0.432 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4718 0.7080 0.000 0.628 0.028 0.000 0.344
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3366 0.4178 0.768 0.000 0.000 0.232 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.3305 0.6661 0.000 0.000 0.000 0.224 0.776
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.1725 0.6242 0.936 0.000 0.000 0.020 0.044
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.6717 0.1565 0.388 0.364 0.000 0.248 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4238 0.7001 0.000 0.628 0.004 0.000 0.368
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.4168 0.6450 0.000 0.052 0.000 0.184 0.764
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.3849 0.4461 0.232 0.000 0.000 0.752 0.016
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.0566 0.7064 0.000 0.004 0.000 0.012 0.984
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3109 0.5039 0.800 0.000 0.000 0.200 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4101 0.6967 0.000 0.628 0.000 0.000 0.372
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.6506 0.0137 0.468 0.324 0.000 0.208 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.4141 0.4585 0.248 0.000 0.000 0.728 0.024
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.3752 0.6309 0.000 0.000 0.000 0.292 0.708
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.4367 0.5919 0.192 0.000 0.000 0.060 0.748
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.2843 0.6940 0.048 0.000 0.000 0.076 0.876
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.0290 0.7026 0.000 0.000 0.000 0.008 0.992
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.4273 0.5422 0.448 0.000 0.000 0.552 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.4088 0.2050 0.000 0.368 0.000 0.000 0.632
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4585 0.7066 0.000 0.628 0.020 0.000 0.352
#> 08E3097B-3A58-4129-9305-1A0F7452C063 4 0.6553 0.1036 0.204 0.364 0.000 0.432 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4590 0.5511 0.420 0.000 0.000 0.568 0.012
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.4718 0.7080 0.000 0.628 0.028 0.000 0.344
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.6047 0.1936 0.332 0.000 0.000 0.136 0.532
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3039 0.5101 0.808 0.000 0.000 0.192 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4101 0.6967 0.000 0.628 0.000 0.000 0.372
#> CA133880-2EEC-43AF-8851-C459301358E2 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.3970 0.4487 0.224 0.000 0.000 0.752 0.024
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.5341 0.5139 0.356 0.000 0.000 0.580 0.064
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.4861 0.5592 0.428 0.000 0.000 0.548 0.024
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.6480 0.2033 0.184 0.000 0.000 0.412 0.404
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.4352 0.6380 0.036 0.000 0.000 0.244 0.720
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.3305 0.6631 0.000 0.000 0.000 0.224 0.776
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.4249 0.5503 0.432 0.000 0.000 0.568 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 5 0.6081 0.2496 0.400 0.000 0.000 0.124 0.476
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.0703 0.6974 0.000 0.000 0.000 0.024 0.976
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.4696 0.5590 0.428 0.000 0.000 0.556 0.016
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.7005 0.4500 0.280 0.000 0.028 0.492 0.200
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4585 0.7062 0.000 0.628 0.020 0.000 0.352
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.4273 0.5422 0.448 0.000 0.000 0.552 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.1942 0.6878 0.000 0.068 0.000 0.012 0.920
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.3724 0.6587 0.000 0.020 0.000 0.204 0.776
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.4702 0.5576 0.432 0.000 0.000 0.552 0.016
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.5320 0.1129 0.572 0.000 0.000 0.060 0.368
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.2648 0.6894 0.000 0.000 0.000 0.152 0.848
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.7164 0.4043 0.280 0.024 0.196 0.492 0.008
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.6308 0.3799 0.388 0.000 0.000 0.456 0.156
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#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.4264 0.1729 0.000 0.376 0.000 0.004 0.620
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.6728 0.2044 0.308 0.276 0.000 0.416 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.4438 0.4455 0.228 0.008 0.000 0.732 0.032
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.4101 0.6967 0.000 0.628 0.000 0.000 0.372
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.4702 0.5576 0.432 0.000 0.000 0.552 0.016
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.3934 0.4390 0.000 0.276 0.008 0.000 0.716
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.5922 0.4999 0.352 0.000 0.000 0.532 0.116
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.6400 0.3907 0.228 0.000 0.000 0.512 0.260
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.3039 0.5101 0.808 0.000 0.000 0.192 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.3143 0.6685 0.000 0.000 0.000 0.204 0.796
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.0880 0.7005 0.000 0.000 0.000 0.032 0.968
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.4402 0.5365 0.204 0.000 0.000 0.056 0.740
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.0693 0.9813 0.000 0.008 0.980 0.012 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.4542 0.5206 0.456 0.008 0.000 0.536 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.6557 1.000 0.000 0.000 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 4 0.4861 0.5597 0.428 0.000 0.000 0.548 0.024
#> DF9D7119-111B-49A5-8D4D-B625631CC450 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.5182 -0.3513 0.544 0.000 0.000 0.412 0.044
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.1478 0.6432 0.936 0.000 0.000 0.064 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.4713 0.3322 0.676 0.000 0.000 0.044 0.280
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.3143 0.6685 0.000 0.000 0.000 0.204 0.796
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.6309 0.3800 0.208 0.000 0.000 0.528 0.264
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.4617 0.5455 0.436 0.000 0.000 0.552 0.012
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.3741 0.6470 0.004 0.000 0.000 0.264 0.732
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.6503 0.3874 0.300 0.000 0.000 0.480 0.220
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.6012 -0.1648 0.504 0.000 0.000 0.376 0.120
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 5 0.6766 -0.4016 0.284 0.000 0.000 0.320 0.396
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.4101 0.6967 0.000 0.628 0.000 0.000 0.372
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3837 0.1733 0.692 0.000 0.000 0.308 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 4 0.6553 0.1036 0.204 0.364 0.000 0.432 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.1671 0.7090 0.000 0.000 0.000 0.076 0.924
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.4367 -0.0696 0.000 0.372 0.008 0.000 0.620
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.3177 0.6679 0.000 0.000 0.000 0.208 0.792
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3039 0.5101 0.808 0.000 0.000 0.192 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.4283 0.5372 0.456 0.000 0.000 0.544 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.4101 0.6967 0.000 0.628 0.000 0.000 0.372
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.6403 0.3947 0.232 0.000 0.000 0.512 0.256
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.4893 0.3811 0.208 0.000 0.000 0.704 0.088
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.4986 -0.1156 0.000 0.368 0.008 0.024 0.600
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4341 0.7023 0.000 0.628 0.008 0.000 0.364
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.3730 0.6338 0.000 0.000 0.000 0.288 0.712
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.3074 0.5120 0.804 0.000 0.000 0.196 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4297 0.5171 0.472 0.000 0.000 0.528 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.4617 0.5548 0.436 0.000 0.000 0.552 0.012
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.1197 0.6487 0.952 0.000 0.000 0.048 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.4161 0.5364 0.392 0.000 0.000 0.608 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.6378 -0.0223 0.176 0.000 0.000 0.476 0.348
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.6400 0.3907 0.228 0.000 0.000 0.512 0.260
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.5592 0.4345 0.256 0.000 0.068 0.652 0.024
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.4693 0.6179 0.000 0.056 0.000 0.244 0.700
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.6557 1.000 0.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 4 0.6553 0.1036 0.204 0.364 0.000 0.432 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 5 0.2304 0.6774 0.100 0.000 0.000 0.008 0.892
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.4341 0.7023 0.000 0.628 0.008 0.000 0.364
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.4867 0.5583 0.432 0.000 0.000 0.544 0.024
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.5393 0.1985 0.080 0.000 0.000 0.312 0.608
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.0703 0.6974 0.000 0.000 0.000 0.024 0.976
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.4395 0.5542 0.188 0.000 0.000 0.064 0.748
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 3 0.0000 0.9960 0.000 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2690 0.6252 0.844 0.000 0.000 0.156 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.1399 0.7072 0.028 0.000 0.000 0.020 0.952
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.6458 0.4052 0.240 0.000 0.000 0.500 0.260
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.1478 0.6907 0.000 0.000 0.000 0.064 0.936
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6810 0.3480 0.376 0.008 0.000 0.412 0.204
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.0703 0.6974 0.000 0.000 0.000 0.024 0.976
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.4722 0.5333 0.368 0.000 0.000 0.608 0.024
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4402 0.6315 0.000 0.056 0.000 0.204 0.740
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1608 0.6351 0.928 0.000 0.000 0.072 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.3837 0.4833 0.308 0.000 0.000 0.692 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.0510 0.7003 0.000 0.000 0.000 0.016 0.984
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3039 0.5101 0.808 0.000 0.000 0.192 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2631 7.92e-01 0.820 0.000 0.000 0.180 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.3984 2.89e-01 0.008 0.000 0.000 0.596 0.396 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3175 8.93e-01 0.000 0.000 0.744 0.256 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3101 7.99e-01 0.756 0.000 0.000 0.244 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.1508 7.82e-01 0.004 0.012 0.020 0.016 0.948 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4871 5.76e-01 0.660 0.000 0.196 0.144 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.3201 5.98e-01 0.008 0.000 0.148 0.820 0.024 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.2002 7.77e-01 0.028 0.012 0.000 0.040 0.920 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.3868 -6.54e-02 0.000 0.000 0.000 0.504 0.496 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3634 7.78e-01 0.000 0.000 0.644 0.356 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3175 8.93e-01 0.000 0.000 0.744 0.256 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0547 9.31e-01 0.000 0.980 0.000 0.000 0.020 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.3607 1.30e-01 0.348 0.000 0.000 0.652 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.4371 7.48e-01 0.104 0.000 0.180 0.000 0.716 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.4130 7.75e-01 0.756 0.000 0.036 0.180 0.028 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3566 4.52e-01 0.236 0.000 0.744 0.020 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0790 9.33e-01 0.000 0.968 0.000 0.000 0.032 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.4024 7.56e-01 0.048 0.000 0.196 0.008 0.748 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.0458 6.62e-01 0.016 0.000 0.000 0.984 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.4351 5.17e-01 0.064 0.000 0.196 0.728 0.012 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.1059 7.89e-01 0.000 0.004 0.016 0.016 0.964 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.3765 -6.72e-02 0.404 0.000 0.000 0.596 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.0458 6.62e-01 0.016 0.000 0.000 0.984 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.6002 2.93e-02 0.236 0.000 0.396 0.368 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.4209 5.30e-01 0.048 0.000 0.196 0.740 0.016 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.4532 7.37e-01 0.108 0.000 0.196 0.000 0.696 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.3765 5.38e-01 0.404 0.000 0.000 0.000 0.596 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.3576 7.41e-01 0.212 0.012 0.000 0.012 0.764 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.0405 7.80e-01 0.000 0.008 0.000 0.004 0.988 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.0363 6.63e-01 0.012 0.000 0.000 0.988 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.3706 4.99e-01 0.000 0.380 0.000 0.000 0.620 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0713 9.33e-01 0.000 0.972 0.000 0.000 0.028 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3175 8.93e-01 0.000 0.000 0.744 0.256 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0547 6.65e-01 0.000 0.000 0.000 0.980 0.020 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0547 9.31e-01 0.000 0.980 0.000 0.000 0.020 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3989 1.65e-01 0.004 0.000 0.000 0.468 0.528 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.4461 5.36e-01 0.080 0.000 0.172 0.732 0.016 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.2688 6.46e-01 0.064 0.000 0.000 0.868 0.068 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.0717 6.69e-01 0.008 0.000 0.000 0.976 0.016 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.5573 3.38e-01 0.028 0.012 0.044 0.516 0.400 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.4532 7.37e-01 0.108 0.000 0.196 0.000 0.696 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.4024 7.57e-01 0.048 0.000 0.196 0.008 0.748 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0725 6.64e-01 0.000 0.012 0.000 0.976 0.012 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3652 1.81e-01 0.672 0.000 0.000 0.004 0.324 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.0820 7.75e-01 0.000 0.012 0.000 0.016 0.972 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.0622 6.69e-01 0.008 0.000 0.000 0.980 0.012 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.3440 5.79e-01 0.000 0.000 0.000 0.776 0.196 0.028
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0547 9.31e-01 0.000 0.980 0.000 0.000 0.020 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0363 6.63e-01 0.012 0.000 0.000 0.988 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.1701 7.82e-01 0.000 0.072 0.000 0.008 0.920 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 5 0.4215 7.47e-01 0.080 0.000 0.196 0.000 0.724 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.0363 6.68e-01 0.000 0.000 0.000 0.988 0.012 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.5418 2.15e-01 0.520 0.000 0.000 0.128 0.352 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.3606 7.75e-01 0.052 0.000 0.140 0.008 0.800 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.6260 2.32e-01 0.136 0.000 0.076 0.568 0.000 0.220
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.3381 5.72e-01 0.044 0.000 0.000 0.800 0.156 0.000
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#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 5 0.1434 7.68e-01 0.000 0.012 0.000 0.048 0.940 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.3586 7.96e-01 0.756 0.000 0.000 0.216 0.028 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.2597 7.88e-01 0.824 0.000 0.000 0.176 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.0972 7.80e-01 0.000 0.008 0.000 0.028 0.964 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.6892 6.07e-01 0.108 0.012 0.196 0.152 0.532 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.2912 5.77e-01 0.000 0.000 0.000 0.784 0.216 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 5 0.5516 6.37e-01 0.244 0.000 0.196 0.000 0.560 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.3531 7.14e-01 0.672 0.000 0.000 0.328 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 5 0.3810 5.29e-01 0.428 0.000 0.000 0.000 0.572 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.3509 8.67e-01 0.000 0.000 0.744 0.240 0.016 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 5 0.0914 7.76e-01 0.000 0.016 0.000 0.016 0.968 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.0000 7.83e-01 0.000 0.000 0.000 0.000 1.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0458 9.29e-01 0.000 0.984 0.000 0.000 0.016 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.3631 5.07e-01 0.168 0.012 0.000 0.788 0.032 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.3857 4.63e-01 0.532 0.000 0.000 0.468 0.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.3925 6.40e-01 0.040 0.000 0.000 0.236 0.724 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0790 9.33e-01 0.000 0.968 0.000 0.000 0.032 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.3518 5.27e-01 0.000 0.012 0.000 0.732 0.256 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.4166 7.49e-01 0.076 0.000 0.196 0.000 0.728 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 5 0.4426 6.35e-01 0.116 0.012 0.000 0.132 0.740 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0000 6.65e-01 0.000 0.000 0.000 1.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 4 0.0458 6.62e-01 0.016 0.000 0.000 0.984 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.3955 4.88e-01 0.008 0.384 0.000 0.000 0.608 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.6081 4.97e-01 0.136 0.000 0.424 0.416 0.000 0.024
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.7027 2.49e-01 0.200 0.012 0.220 0.508 0.040 0.020
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.0363 6.68e-01 0.000 0.000 0.000 0.988 0.012 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.3864 2.17e-01 0.000 0.480 0.000 0.000 0.520 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2003 6.29e-01 0.000 0.000 0.000 0.884 0.116 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.3629 5.09e-01 0.000 0.012 0.000 0.712 0.276 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.0458 6.62e-01 0.016 0.000 0.000 0.984 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.4215 7.47e-01 0.080 0.000 0.196 0.000 0.724 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.1180 7.79e-01 0.000 0.012 0.012 0.016 0.960 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 4 0.0458 6.62e-01 0.016 0.000 0.000 0.984 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.3490 6.10e-01 0.000 0.000 0.008 0.268 0.724 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 6 0.3435 8.17e-01 0.136 0.000 0.060 0.000 0.000 0.804
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 4 0.4293 4.54e-01 0.164 0.000 0.060 0.752 0.000 0.024
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3101 7.99e-01 0.756 0.000 0.000 0.244 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 4 0.0603 6.69e-01 0.000 0.000 0.004 0.980 0.016 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.4586 3.60e-01 0.260 0.012 0.000 0.676 0.052 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.3797 5.72e-01 0.580 0.000 0.000 0.420 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.5124 5.27e-01 0.620 0.000 0.000 0.148 0.232 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.4215 7.47e-01 0.080 0.000 0.196 0.000 0.724 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.4077 5.00e-01 0.016 0.012 0.000 0.692 0.280 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0909 6.63e-01 0.012 0.000 0.000 0.968 0.020 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.4669 7.36e-01 0.108 0.000 0.196 0.004 0.692 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.3909 5.51e-01 0.020 0.012 0.000 0.732 0.236 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.3847 1.80e-01 0.348 0.000 0.000 0.644 0.008 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.3862 3.95e-01 0.004 0.000 0.000 0.608 0.388 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.3244 3.45e-01 0.268 0.000 0.000 0.732 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.3175 8.93e-01 0.000 0.000 0.744 0.256 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.2302 7.89e-01 0.004 0.012 0.072 0.012 0.900 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.3371 5.89e-01 0.000 0.708 0.000 0.000 0.292 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.4264 7.46e-01 0.084 0.000 0.196 0.000 0.720 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 4 0.0820 6.63e-01 0.016 0.000 0.012 0.972 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.0603 6.63e-01 0.016 0.000 0.000 0.980 0.004 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.1141 9.14e-01 0.000 0.948 0.000 0.000 0.052 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.3586 5.17e-01 0.000 0.012 0.000 0.720 0.268 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.5743 4.61e-01 0.096 0.000 0.188 0.636 0.080 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.3729 5.22e-01 0.000 0.692 0.000 0.012 0.296 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.4532 7.37e-01 0.108 0.000 0.196 0.000 0.696 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.3782 -7.76e-02 0.412 0.000 0.000 0.588 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.0865 6.54e-01 0.036 0.000 0.000 0.964 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.0363 6.68e-01 0.000 0.000 0.000 0.988 0.012 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.3765 6.00e-01 0.596 0.000 0.000 0.404 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.1196 6.60e-01 0.040 0.008 0.000 0.952 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.7224 -1.08e-01 0.108 0.000 0.196 0.348 0.348 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.3629 5.09e-01 0.000 0.012 0.000 0.712 0.276 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.4085 5.50e-01 0.008 0.000 0.212 0.744 0.016 0.020
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.4532 7.37e-01 0.108 0.000 0.196 0.000 0.696 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.3101 7.99e-01 0.756 0.000 0.000 0.244 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3175 8.93e-01 0.000 0.000 0.744 0.256 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 4 0.0603 6.69e-01 0.000 0.000 0.004 0.980 0.016 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 5 0.2446 7.50e-01 0.012 0.000 0.000 0.124 0.864 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0865 9.33e-01 0.000 0.964 0.000 0.000 0.036 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.0458 6.68e-01 0.000 0.000 0.000 0.984 0.016 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.3765 1.59e-01 0.000 0.000 0.000 0.404 0.596 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.0820 7.75e-01 0.000 0.012 0.000 0.016 0.972 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.3126 6.38e-01 0.000 0.000 0.000 0.248 0.752 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 6 0.0632 9.85e-01 0.000 0.024 0.000 0.000 0.000 0.976
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.3789 4.95e-01 0.584 0.000 0.000 0.416 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.1578 7.82e-01 0.004 0.012 0.000 0.048 0.936 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.3151 5.44e-01 0.000 0.000 0.000 0.748 0.252 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.1528 7.73e-01 0.028 0.012 0.000 0.016 0.944 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6588 2.65e-01 0.136 0.000 0.072 0.580 0.188 0.024
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.0820 7.75e-01 0.000 0.012 0.000 0.016 0.972 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.1923 6.55e-01 0.064 0.000 0.004 0.916 0.016 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.4215 7.47e-01 0.080 0.000 0.196 0.000 0.724 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3607 6.80e-01 0.652 0.000 0.000 0.348 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.3424 6.05e-01 0.096 0.000 0.092 0.812 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.0725 7.76e-01 0.000 0.012 0.000 0.012 0.976 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.3774 -7.16e-02 0.408 0.000 0.000 0.592 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.707 0.906 0.947 0.3611 0.625 0.625
#> 3 3 0.473 0.775 0.877 0.2257 0.910 0.865
#> 4 4 0.310 0.499 0.719 0.3784 0.635 0.459
#> 5 5 0.384 0.562 0.719 0.0974 0.874 0.686
#> 6 6 0.593 0.640 0.817 0.1054 0.836 0.553
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.968 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.2603 0.926 0.956 0.044
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.968 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.968 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.5519 0.878 0.128 0.872
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.968 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.968 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.968 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.968 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.968 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.6887 0.726 0.816 0.184
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.6973 0.869 0.188 0.812
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.6973 0.869 0.188 0.812
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1633 0.873 0.024 0.976
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.968 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.968 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.6973 0.869 0.188 0.812
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.6973 0.869 0.188 0.812
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.3879 0.866 0.076 0.924
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.968 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.968 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.968 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.968 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.968 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.968 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.9850 0.315 0.428 0.572
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.8016 0.821 0.244 0.756
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.968 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.7745 0.837 0.228 0.772
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.968 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.968 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.968 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.968 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.968 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.6343 0.872 0.160 0.840
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.3274 0.879 0.060 0.940
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.6973 0.869 0.188 0.812
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.6531 0.795 0.832 0.168
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.1184 0.871 0.016 0.984
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.968 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.866 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.968 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.6343 0.867 0.160 0.840
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.866 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.968 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.968 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.968 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5294 0.852 0.880 0.120
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.968 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.968 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.968 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.866 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.968 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.968 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.968 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.7674 0.719 0.776 0.224
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 1.0000 0.106 0.500 0.500
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.968 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.0000 0.968 1.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.968 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.968 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.866 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.968 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.968 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.2778 0.875 0.048 0.952
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.968 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.6712 0.871 0.176 0.824
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.968 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.866 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0376 0.965 0.996 0.004
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.6973 0.869 0.188 0.812
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.7602 0.726 0.780 0.220
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.1843 0.872 0.028 0.972
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.4690 0.875 0.900 0.100
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.968 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.0000 0.968 1.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 1 0.9795 0.108 0.584 0.416
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.968 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.968 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.866 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.968 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.968 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.5519 0.844 0.872 0.128
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.968 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.968 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.6973 0.869 0.188 0.812
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.968 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.968 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.6973 0.869 0.188 0.812
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.8443 0.785 0.272 0.728
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.2948 0.875 0.052 0.948
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2043 0.942 0.968 0.032
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.968 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.968 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.968 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.968 1.000 0.000
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#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.968 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0938 0.870 0.012 0.988
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.866 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.866 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.8267 0.801 0.260 0.740
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.968 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.968 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.968 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0000 0.968 1.000 0.000
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#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.866 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 2 0.9896 0.442 0.440 0.560
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#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.866 0.000 1.000
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#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.866 0.000 1.000
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#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.968 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.6973 0.869 0.188 0.812
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.6343 0.805 0.840 0.160
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.968 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.968 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.968 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.866 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.968 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.968 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.968 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.968 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.7299 0.858 0.204 0.796
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.2603 0.874 0.044 0.956
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.7139 0.865 0.196 0.804
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.968 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.968 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.968 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.968 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.968 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.968 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.968 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.968 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1414 0.952 0.980 0.020
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.968 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.1184 0.955 0.984 0.016
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.968 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.968 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.6801 0.864 0.180 0.820
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.968 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.6973 0.869 0.188 0.812
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.968 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.8207 0.760 0.256 0.744
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.968 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.3879 0.889 0.924 0.076
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.968 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.4690 0.875 0.900 0.100
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.0000 0.968 1.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.5842 0.829 0.860 0.140
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.968 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.6438 0.817 0.164 0.836
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.7299 0.854 0.204 0.796
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.968 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.968 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.968 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.968 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.968 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.968 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.968 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.968 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.6343 0.805 0.840 0.160
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.968 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0376 0.965 0.996 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.6973 0.869 0.188 0.812
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.968 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.968 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.6438 0.871 0.164 0.836
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.968 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.968 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.4562 0.880 0.904 0.096
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.9427 0.400 0.640 0.360
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0672 0.868 0.008 0.992
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.968 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.968 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.968 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.968 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.2778 0.875 0.048 0.952
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.1184 0.955 0.984 0.016
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.968 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.968 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.968 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.968 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.968 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.968 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1643 0.8761 0.956 0.000 0.044
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.3791 0.8445 0.892 0.048 0.060
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.8780 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2625 0.8670 0.916 0.000 0.084
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2749 0.7346 0.064 0.012 0.924
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.2165 0.8712 0.936 0.000 0.064
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.8780 1.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4235 0.7973 0.824 0.000 0.176
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.2200 0.8729 0.940 0.004 0.056
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.8780 1.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3129 0.8647 0.904 0.008 0.088
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.7403 0.6775 0.216 0.096 0.688
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.4291 0.8272 0.152 0.008 0.840
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1267 0.7393 0.024 0.972 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2356 0.8708 0.928 0.000 0.072
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.8780 1.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.4110 0.8261 0.152 0.004 0.844
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.4110 0.8261 0.152 0.004 0.844
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.1860 0.7366 0.052 0.948 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.4504 0.7221 0.804 0.196 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2448 0.8703 0.924 0.000 0.076
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4293 0.8030 0.832 0.004 0.164
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.1620 0.8761 0.964 0.024 0.012
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1753 0.8759 0.952 0.000 0.048
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2356 0.8699 0.928 0.000 0.072
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5138 0.4668 0.252 0.748 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.3752 0.7515 0.144 0.000 0.856
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0592 0.8787 0.988 0.000 0.012
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.7533 0.4778 0.392 0.044 0.564
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.8780 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.8780 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1529 0.8665 0.960 0.040 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.1860 0.8622 0.948 0.052 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1529 0.8752 0.960 0.000 0.040
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.3415 0.7153 0.080 0.900 0.020
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.1529 0.7397 0.040 0.960 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.4291 0.8272 0.152 0.008 0.840
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.6082 0.6363 0.692 0.012 0.296
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.1529 0.7399 0.040 0.960 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2356 0.8466 0.928 0.072 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.5254 0.5388 0.000 0.736 0.264
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2796 0.8647 0.908 0.000 0.092
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.2165 0.7325 0.064 0.936 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.5254 0.5388 0.000 0.736 0.264
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.8780 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0424 0.8786 0.992 0.000 0.008
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0424 0.8782 0.992 0.000 0.008
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.5158 0.7421 0.764 0.004 0.232
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.8780 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.2804 0.8519 0.924 0.060 0.016
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0592 0.8790 0.988 0.000 0.012
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.5254 0.5388 0.000 0.736 0.264
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3941 0.8144 0.844 0.000 0.156
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0237 0.8782 0.996 0.004 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.1647 0.8759 0.960 0.004 0.036
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.7295 0.0353 0.488 0.028 0.484
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4346 0.5889 0.184 0.816 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1989 0.8761 0.948 0.004 0.048
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.2711 0.8398 0.912 0.088 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.3551 0.7947 0.868 0.132 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1525 0.8803 0.964 0.004 0.032
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.5254 0.5388 0.000 0.736 0.264
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.1411 0.8793 0.964 0.000 0.036
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4002 0.7637 0.840 0.160 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.3038 0.5908 0.000 0.104 0.896
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.1289 0.8743 0.968 0.000 0.032
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.4921 0.8041 0.844 0.072 0.084
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.4887 0.6710 0.772 0.228 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0829 0.7326 0.012 0.984 0.004
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4629 0.7869 0.808 0.004 0.188
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.6613 0.7459 0.188 0.072 0.740
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.6529 0.4699 0.620 0.368 0.012
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.5760 0.4576 0.000 0.672 0.328
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.4733 0.7795 0.800 0.004 0.196
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.1529 0.8713 0.960 0.000 0.040
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.6526 0.5994 0.704 0.260 0.036
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.5115 0.5472 0.228 0.768 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.3039 0.8562 0.920 0.036 0.044
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0237 0.8782 0.996 0.004 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.5254 0.5388 0.000 0.736 0.264
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.3669 0.8388 0.896 0.064 0.040
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.8780 1.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.5420 0.7264 0.752 0.008 0.240
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.1289 0.8795 0.968 0.000 0.032
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1860 0.8754 0.948 0.000 0.052
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.4291 0.8272 0.152 0.008 0.840
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.8780 1.000 0.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0237 0.8780 0.996 0.004 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.4291 0.8272 0.152 0.008 0.840
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.6521 -0.1229 0.500 0.004 0.496
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.4370 0.6278 0.076 0.056 0.868
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.4682 0.7828 0.804 0.004 0.192
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1411 0.8771 0.964 0.000 0.036
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1860 0.8742 0.948 0.000 0.052
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0892 0.8794 0.980 0.000 0.020
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0592 0.8795 0.988 0.000 0.012
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.2537 0.8686 0.920 0.000 0.080
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.4682 0.7828 0.804 0.004 0.192
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.1129 0.7376 0.020 0.976 0.004
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.3752 0.6402 0.000 0.856 0.144
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.1129 0.7377 0.020 0.976 0.004
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.7470 0.2869 0.336 0.612 0.052
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4399 0.7868 0.812 0.000 0.188
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0237 0.8782 0.996 0.004 0.000
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cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.7436 0.5816 0.364 0.000 0.176 0.460
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.4337 0.5857 0.808 0.000 0.140 0.052
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4804 0.3804 0.708 0.000 0.016 0.276
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.7580 0.5957 0.296 0.000 0.228 0.476
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.2777 0.7089 0.004 0.004 0.888 0.104
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.7204 0.6094 0.332 0.000 0.156 0.512
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.3625 0.5881 0.828 0.000 0.012 0.160
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.4608 0.6256 0.304 0.000 0.004 0.692
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.5070 0.4984 0.372 0.000 0.008 0.620
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.5231 0.2841 0.604 0.000 0.012 0.384
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.5091 0.5425 0.752 0.000 0.180 0.068
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.6908 -0.1078 0.468 0.012 0.448 0.072
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1543 0.7561 0.008 0.004 0.956 0.032
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4936 0.5699 0.372 0.624 0.000 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.7307 -0.0820 0.524 0.000 0.192 0.284
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.3219 0.6028 0.836 0.000 0.000 0.164
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1452 0.7560 0.008 0.000 0.956 0.036
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.1356 0.7561 0.008 0.000 0.960 0.032
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 1 0.5987 -0.2729 0.520 0.440 0.000 0.040
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.2654 0.6392 0.888 0.004 0.000 0.108
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.7325 0.5825 0.368 0.000 0.160 0.472
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.3688 0.6105 0.208 0.000 0.000 0.792
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3597 0.6213 0.836 0.000 0.016 0.148
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.7395 0.5986 0.344 0.000 0.176 0.480
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.6137 -0.3622 0.504 0.000 0.048 0.448
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 1 0.7012 -0.1884 0.504 0.372 0.000 0.124
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.6497 0.6313 0.120 0.008 0.656 0.216
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4454 0.4284 0.692 0.000 0.000 0.308
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.7576 0.3932 0.284 0.024 0.552 0.140
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.3529 0.5963 0.836 0.000 0.012 0.152
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4857 0.3643 0.700 0.000 0.016 0.284
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.3245 0.6307 0.872 0.000 0.028 0.100
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.3680 0.6195 0.828 0.004 0.008 0.160
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.7269 0.5905 0.356 0.000 0.156 0.488
#> 141CECEC-2118-4805-9DD0-67F13620674D 1 0.6265 -0.3036 0.492 0.464 0.012 0.032
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5268 0.4674 0.452 0.540 0.000 0.008
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.1821 0.7540 0.008 0.012 0.948 0.032
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.1975 0.4715 0.016 0.000 0.048 0.936
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.5781 0.3606 0.484 0.488 0.000 0.028
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2805 0.6483 0.888 0.000 0.012 0.100
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.7634 0.5864 0.300 0.000 0.236 0.464
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 1 0.6121 -0.2538 0.528 0.432 0.008 0.032
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0804 0.7665 0.000 0.980 0.012 0.008
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4980 0.3140 0.680 0.000 0.016 0.304
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.5263 -0.0946 0.544 0.000 0.008 0.448
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.3215 0.6307 0.876 0.000 0.032 0.092
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.1411 0.5010 0.020 0.000 0.020 0.960
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.3479 0.5994 0.840 0.000 0.012 0.148
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.1824 0.6489 0.936 0.000 0.004 0.060
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.5161 0.3211 0.676 0.000 0.024 0.300
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0672 0.7677 0.000 0.984 0.008 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.4889 0.5784 0.360 0.000 0.004 0.636
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.4482 0.5800 0.728 0.000 0.008 0.264
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.6168 0.4962 0.388 0.000 0.056 0.556
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.3377 0.2538 0.012 0.000 0.140 0.848
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 1 0.6152 -0.2540 0.520 0.436 0.004 0.040
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.5070 0.5136 0.372 0.000 0.008 0.620
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.3819 0.6031 0.816 0.004 0.008 0.172
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.1557 0.6507 0.944 0.000 0.000 0.056
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.5827 0.3799 0.436 0.000 0.032 0.532
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.7179 -0.3580 0.480 0.000 0.140 0.380
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0817 0.6495 0.976 0.000 0.000 0.024
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.6508 0.5548 0.000 0.084 0.556 0.360
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.4322 0.5761 0.804 0.000 0.044 0.152
#> E8473ED9-6800-426B-977F-E928065BE475 4 0.7671 0.1660 0.424 0.020 0.124 0.432
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.1118 0.6513 0.964 0.000 0.000 0.036
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.2704 0.7658 0.124 0.876 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.2473 0.5924 0.080 0.000 0.012 0.908
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.6695 0.5713 0.164 0.084 0.692 0.060
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.6639 0.4182 0.656 0.136 0.012 0.196
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4744 0.4882 0.000 0.736 0.240 0.024
#> 695D5BEB-C772-4964-ACDD-577ECA532623 4 0.2563 0.5705 0.072 0.000 0.020 0.908
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.3300 0.6036 0.848 0.000 0.008 0.144
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.3432 0.6190 0.872 0.020 0.012 0.096
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 1 0.5923 0.0785 0.620 0.336 0.008 0.036
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.2816 0.6380 0.900 0.000 0.036 0.064
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5143 0.3398 0.628 0.000 0.012 0.360
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0804 0.7665 0.000 0.980 0.012 0.008
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.2965 0.6345 0.892 0.000 0.036 0.072
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.3280 0.6202 0.860 0.000 0.016 0.124
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.1510 0.4955 0.016 0.000 0.028 0.956
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.5604 -0.3558 0.504 0.000 0.020 0.476
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 4 0.7460 0.5897 0.348 0.000 0.184 0.468
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.1356 0.7561 0.008 0.000 0.960 0.032
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.3757 0.5916 0.828 0.000 0.020 0.152
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.2281 0.6409 0.904 0.000 0.000 0.096
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.1356 0.7561 0.008 0.000 0.960 0.032
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.5460 0.3753 0.340 0.000 0.632 0.028
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.6179 0.5610 0.000 0.056 0.552 0.392
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.2843 0.5907 0.088 0.000 0.020 0.892
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.6944 0.5562 0.404 0.000 0.112 0.484
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.7392 0.5883 0.356 0.000 0.172 0.472
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.5400 0.1523 0.608 0.000 0.020 0.372
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.3529 0.6003 0.836 0.000 0.012 0.152
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.7620 0.5867 0.316 0.000 0.224 0.460
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.3557 0.6350 0.108 0.000 0.036 0.856
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.4917 0.6060 0.328 0.664 0.004 0.004
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.1486 0.7739 0.024 0.960 0.008 0.008
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.3355 0.7463 0.160 0.836 0.000 0.004
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 1 0.4124 0.5891 0.844 0.096 0.016 0.044
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.6429 0.6393 0.324 0.000 0.088 0.588
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.4163 0.6091 0.792 0.000 0.020 0.188
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.5392 0.3290 0.460 0.000 0.012 0.528
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.2311 0.6472 0.916 0.004 0.004 0.076
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.5281 0.0232 0.528 0.000 0.008 0.464
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 1 0.6187 -0.1017 0.564 0.388 0.008 0.040
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.5483 -0.1999 0.536 0.000 0.016 0.448
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.4098 0.6474 0.204 0.000 0.012 0.784
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.7698 0.5655 0.324 0.000 0.236 0.440
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.6219 0.3279 0.588 0.000 0.344 0.068
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.6213 0.4596 0.464 0.000 0.052 0.484
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.3647 0.5961 0.832 0.000 0.016 0.152
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.1902 0.7801 0.064 0.932 0.000 0.004
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.2125 0.7779 0.076 0.920 0.000 0.004
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.5105 0.1643 0.564 0.000 0.004 0.432
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.2256 0.6447 0.924 0.000 0.020 0.056
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 4 0.4781 0.6169 0.336 0.000 0.004 0.660
#> 83867921-8D7C-41AE-9292-010EECA0C186 4 0.7620 0.5842 0.324 0.000 0.220 0.456
#> 25F57C6E-E445-4321-95F3-E14E1016459A 4 0.2805 0.6122 0.100 0.000 0.012 0.888
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.5847 0.5379 0.320 0.000 0.052 0.628
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.4635 0.5720 0.720 0.000 0.012 0.268
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.7436 0.5825 0.364 0.000 0.176 0.460
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.4442 0.5914 0.752 0.004 0.008 0.236
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.7392 0.5744 0.372 0.000 0.168 0.460
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0672 0.7673 0.000 0.984 0.008 0.008
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 4 0.7585 0.5947 0.304 0.000 0.224 0.472
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.2081 0.6027 0.084 0.000 0.000 0.916
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.3626 0.7325 0.184 0.812 0.000 0.004
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.2473 0.6430 0.908 0.000 0.012 0.080
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 1 0.5928 0.1293 0.640 0.312 0.012 0.036
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 4 0.7301 0.5700 0.356 0.000 0.160 0.484
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.4035 0.5619 0.804 0.000 0.020 0.176
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.3610 0.5995 0.800 0.000 0.000 0.200
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.4993 0.4995 0.260 0.000 0.028 0.712
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.5017 0.5801 0.720 0.004 0.024 0.252
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.4973 0.1450 0.644 0.000 0.008 0.348
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 1 0.3065 0.6203 0.900 0.016 0.032 0.052
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.1724 0.7530 0.020 0.000 0.948 0.032
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.1716 0.6496 0.936 0.000 0.000 0.064
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 1 0.3662 0.6109 0.836 0.004 0.012 0.148
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.5894 -0.2172 0.536 0.000 0.036 0.428
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 1 0.0592 0.6380 0.984 0.016 0.000 0.000
#> B523A296-8146-456A-9942-7147A1882B01 4 0.1902 0.5824 0.064 0.000 0.004 0.932
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 1 0.1247 0.6391 0.968 0.012 0.004 0.016
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 1 0.1978 0.6514 0.928 0.000 0.004 0.068
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.4748 0.3963 0.716 0.000 0.016 0.268
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 3 0.2816 0.7193 0.064 0.000 0.900 0.036
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 4 0.7607 0.5917 0.292 0.000 0.236 0.472
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 4 0.4591 0.6356 0.116 0.000 0.084 0.800
#> 96B96425-04BD-4676-85EC-CCBC598533AB 1 0.2256 0.6447 0.924 0.000 0.020 0.056
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 4 0.5408 0.3514 0.408 0.000 0.016 0.576
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 1 0.4576 0.4132 0.728 0.000 0.012 0.260
#> 3B32E2B1-2825-430A-9081-2CAAE9A5FC7B 1 0.2401 0.6358 0.904 0.004 0.000 0.092
#> D09CCEEC-D367-4E44-B5F9-B3C63E19978F 1 0.4113 0.5924 0.828 0.024 0.012 0.136
#> 4B996600-09E0-4BED-B6D0-DDA3F3A0244A 2 0.0804 0.7665 0.000 0.980 0.012 0.008
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#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.4910 0.3813 0.704 0.000 0.020 0.276
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.2831 0.6149 0.120 0.000 0.004 0.876
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.4090 0.5968 0.844 0.072 0.008 0.076
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.5408 -0.0923 0.576 0.000 0.016 0.408
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 4 0.6143 0.4671 0.456 0.000 0.048 0.496
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.3182 0.7617 0.132 0.860 0.004 0.004
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 4 0.2861 0.5997 0.096 0.000 0.016 0.888
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.4332 0.5803 0.176 0.000 0.032 0.792
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.3813 0.5932 0.828 0.000 0.024 0.148
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.5038 0.6385 0.296 0.000 0.020 0.684
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.8395 0.2458 0.296 0.036 0.460 0.208
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.6508 0.5548 0.000 0.084 0.556 0.360
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.5109 0.5269 0.744 0.000 0.196 0.060
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.5587 0.4204 0.600 0.000 0.028 0.372
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 4 0.6362 0.6002 0.368 0.000 0.072 0.560
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.5228 0.2394 0.312 0.000 0.024 0.664
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.5938 -0.4198 0.484 0.000 0.036 0.480
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.8459 -0.1712 0.352 0.020 0.328 0.300
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.2101 0.6540 0.928 0.000 0.012 0.060
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.3047 0.6304 0.116 0.000 0.012 0.872
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.3266 0.6154 0.832 0.000 0.000 0.168
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 1 0.3521 0.6033 0.864 0.084 0.000 0.052
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.7574 0.5856 0.248 0.000 0.268 0.484
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.5384 0.3468 0.324 0.000 0.028 0.648
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.2596 0.5715 0.068 0.000 0.024 0.908
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.7404 0.5948 0.348 0.000 0.176 0.476
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 4 0.6233 0.5872 0.388 0.000 0.060 0.552
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 4 0.7607 0.5909 0.292 0.000 0.236 0.472
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.5013 0.5541 0.688 0.000 0.020 0.292
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.1890 0.6505 0.936 0.000 0.008 0.056
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.4868 0.5394 0.304 0.000 0.012 0.684
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.4826 0.3940 0.716 0.000 0.020 0.264
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 4 0.6413 0.5025 0.416 0.000 0.068 0.516
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.4718 0.3667 0.708 0.000 0.012 0.280
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.4576 0.4132 0.728 0.000 0.012 0.260
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.1863 0.7544 0.012 0.004 0.944 0.040
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.2216 0.6426 0.908 0.000 0.000 0.092
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.4857 0.5813 0.740 0.004 0.024 0.232
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.4819 0.5982 0.344 0.652 0.000 0.004
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.2021 0.5652 0.056 0.000 0.012 0.932
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.7585 0.5947 0.304 0.000 0.224 0.472
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 4 0.7458 0.6093 0.288 0.000 0.212 0.500
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.7553 0.5968 0.308 0.000 0.216 0.476
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.2335 0.6451 0.920 0.000 0.020 0.060
#> 3F79FC21-B181-42FE-914B-CC298BD72343 1 0.5754 0.1526 0.648 0.312 0.012 0.028
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.5619 0.6179 0.248 0.000 0.064 0.688
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 1 0.6322 0.1148 0.616 0.312 0.008 0.064
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.1302 0.6508 0.956 0.000 0.000 0.044
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.4978 0.5438 0.384 0.000 0.004 0.612
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.1940 0.5969 0.076 0.000 0.000 0.924
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.7237 0.0555 0.132 0.008 0.540 0.320
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0524 0.6449 0.988 0.004 0.000 0.008
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.6508 0.5548 0.000 0.084 0.556 0.360
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.1520 0.5167 0.024 0.000 0.020 0.956
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 1 0.3877 0.6081 0.852 0.044 0.008 0.096
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.5859 -0.2817 0.496 0.000 0.032 0.472
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 1 0.6150 0.4067 0.716 0.180 0.040 0.064
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2060 0.4657 0.016 0.000 0.052 0.932
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.4212 0.6355 0.216 0.000 0.012 0.772
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.7653 0.5868 0.300 0.000 0.240 0.460
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.7529 0.6031 0.288 0.000 0.224 0.488
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0927 0.7660 0.000 0.976 0.016 0.008
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.3208 0.6038 0.848 0.000 0.004 0.148
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.5546 0.3293 0.680 0.000 0.052 0.268
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.3528 0.6024 0.808 0.000 0.000 0.192
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.7583 -0.4507 0.420 0.000 0.196 0.384
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.5664 0.4863 0.696 0.000 0.228 0.076
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 3 0.6831 0.5334 0.000 0.112 0.536 0.352
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5216 0.6629 0.012 0.016 0.700 0.272
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.7016 0.6273 0.320 0.000 0.140 0.540
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.4164 0.4097 0.736 0.000 0.000 0.264
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.4635 0.3970 0.720 0.000 0.012 0.268
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.6547 0.6072 0.340 0.000 0.092 0.568
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.7634 0.5876 0.300 0.000 0.236 0.464
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.5805 0.5840 0.388 0.000 0.036 0.576
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.2125 0.6453 0.920 0.000 0.004 0.076
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.2760 0.6317 0.128 0.000 0.000 0.872
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.2255 0.5785 0.068 0.000 0.012 0.920
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.4697 0.5416 0.696 0.000 0.008 0.296
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.2124 0.5820 0.068 0.000 0.008 0.924
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.2345 0.6180 0.100 0.000 0.000 0.900
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.5024 0.5117 0.360 0.000 0.008 0.632
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 1 0.5732 0.2127 0.664 0.292 0.012 0.032
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.4584 0.6403 0.300 0.000 0.004 0.696
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.1543 0.7561 0.008 0.004 0.956 0.032
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.3538 0.6316 0.832 0.004 0.004 0.160
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 1 0.5996 0.3033 0.684 0.240 0.012 0.064
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.3074 0.6063 0.848 0.000 0.000 0.152
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 4 0.7687 0.5754 0.312 0.000 0.240 0.448
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.7621 0.5898 0.296 0.000 0.236 0.468
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.2179 0.5794 0.064 0.000 0.012 0.924
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.3304 0.6188 0.864 0.008 0.008 0.120
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1706 0.5400 0.036 0.000 0.016 0.948
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.5476 0.0521 0.584 0.000 0.020 0.396
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 1 0.7073 -0.1763 0.504 0.364 0.000 0.132
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 1 0.6020 -0.0128 0.596 0.360 0.008 0.036
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.2149 0.6440 0.912 0.000 0.000 0.088
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.7572 0.5974 0.300 0.000 0.224 0.476
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.7441 0.5897 0.352 0.000 0.180 0.468
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.5097 0.3826 0.428 0.000 0.004 0.568
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.7572 0.5982 0.288 0.000 0.232 0.480
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5962 0.2886 0.660 0.000 0.080 0.260
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.3764 0.5929 0.816 0.000 0.012 0.172
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.4212 0.6249 0.216 0.000 0.012 0.772
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.5766 -0.0235 0.404 0.000 0.032 0.564
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1474 0.6516 0.948 0.000 0.000 0.052
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.7583 0.5937 0.280 0.000 0.240 0.480
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3366 0.7243 0.008 0.076 0.880 0.036
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.2245 0.6442 0.932 0.008 0.040 0.020
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.6413 0.5097 0.416 0.000 0.068 0.516
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 1 0.6315 -0.2552 0.520 0.432 0.012 0.036
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 4 0.7332 0.5475 0.356 0.000 0.164 0.480
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4546 0.5762 0.732 0.000 0.012 0.256
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.5172 0.5078 0.260 0.000 0.036 0.704
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.6653 0.1685 0.508 0.012 0.056 0.424
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.1356 0.7551 0.000 0.960 0.032 0.008
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.5827 0.5029 0.436 0.000 0.032 0.532
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.1706 0.6467 0.948 0.000 0.016 0.036
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.5165 0.2517 0.484 0.000 0.004 0.512
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.4220 0.5859 0.748 0.000 0.004 0.248
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6508 0.5638 0.000 0.084 0.556 0.360
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.5548 0.3949 0.588 0.000 0.024 0.388
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.4776 0.3847 0.712 0.000 0.016 0.272
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.1792 0.6501 0.932 0.000 0.000 0.068
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.7572 0.5982 0.288 0.000 0.232 0.480
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4644 0.4896 0.748 0.000 0.024 0.228
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.5368 0.4729 0.636 0.000 0.024 0.340
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.7658 0.5817 0.308 0.000 0.236 0.456
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.5978 0.71223 0.608 0.004 0.088 0.016 0.284
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3616 0.64616 0.012 0.052 0.064 0.016 0.856
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.3990 0.26459 0.308 0.000 0.004 0.000 0.688
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.6752 0.64870 0.560 0.004 0.216 0.024 0.196
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3002 0.64659 0.048 0.000 0.876 0.068 0.008
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.5855 0.72487 0.632 0.004 0.088 0.016 0.260
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.1908 0.68498 0.092 0.000 0.000 0.000 0.908
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.3607 0.73433 0.752 0.000 0.000 0.004 0.244
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3690 0.69510 0.780 0.000 0.000 0.020 0.200
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.4060 0.31938 0.360 0.000 0.000 0.000 0.640
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4955 0.54201 0.020 0.044 0.180 0.012 0.744
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6614 0.18559 0.016 0.076 0.504 0.024 0.380
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0740 0.75253 0.008 0.000 0.980 0.004 0.008
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.3148 0.49101 0.000 0.864 0.004 0.060 0.072
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 5 0.6738 0.25728 0.240 0.020 0.136 0.020 0.584
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.1732 0.69645 0.080 0.000 0.000 0.000 0.920
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0579 0.75272 0.008 0.000 0.984 0.000 0.008
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0740 0.75260 0.008 0.000 0.980 0.004 0.008
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.5144 0.70250 0.024 0.688 0.016 0.016 0.256
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.3161 0.70098 0.092 0.044 0.000 0.004 0.860
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.5405 0.70321 0.616 0.000 0.052 0.012 0.320
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4348 0.66284 0.768 0.032 0.000 0.020 0.180
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4568 0.62328 0.176 0.048 0.004 0.012 0.760
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.6231 0.71246 0.608 0.004 0.136 0.016 0.236
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.5278 0.61892 0.552 0.000 0.016 0.024 0.408
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5126 0.70207 0.032 0.684 0.008 0.016 0.260
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.6880 0.36521 0.260 0.000 0.560 0.080 0.100
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.3340 0.70420 0.156 0.016 0.000 0.004 0.824
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#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 5 0.6334 0.45209 0.340 0.044 0.012 0.044 0.560
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.4521 0.71119 0.664 0.000 0.012 0.008 0.316
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.6943 -0.08328 0.488 0.044 0.016 0.076 0.376
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.4801 0.63809 0.584 0.000 0.012 0.008 0.396
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.8790 0.03963 0.356 0.072 0.116 0.108 0.348
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.2478 0.67937 0.028 0.060 0.008 0.000 0.904
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.2249 0.70817 0.896 0.000 0.000 0.008 0.096
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.1270 0.71782 0.052 0.000 0.000 0.000 0.948
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.5103 -0.22663 0.036 0.452 0.000 0.000 0.512
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.7080 0.62396 0.552 0.020 0.224 0.024 0.180
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 5 0.6545 0.29489 0.416 0.044 0.012 0.048 0.480
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.3507 0.67019 0.860 0.012 0.016 0.036 0.076
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.5175 0.71934 0.648 0.000 0.052 0.008 0.292
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.4735 0.71887 0.664 0.000 0.024 0.008 0.304
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 4 0.3534 0.70960 0.000 0.256 0.000 0.744 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.6678 0.65331 0.572 0.004 0.204 0.024 0.196
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.3583 0.66378 0.192 0.012 0.000 0.004 0.792
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.0963 0.71471 0.036 0.000 0.000 0.000 0.964
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.4544 0.65090 0.728 0.012 0.000 0.032 0.228
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 5 0.3966 0.19181 0.336 0.000 0.000 0.000 0.664
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.4701 0.67380 0.612 0.000 0.016 0.004 0.368
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 5 0.3857 0.25365 0.312 0.000 0.000 0.000 0.688
#> 46859620-8B87-4425-835F-7960023E4B07 5 0.2648 0.61420 0.152 0.000 0.000 0.000 0.848
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.1574 0.74255 0.012 0.004 0.952 0.020 0.012
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 5 0.0671 0.71309 0.016 0.004 0.000 0.000 0.980
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.4437 0.62417 0.184 0.036 0.008 0.008 0.764
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.1997 0.44660 0.000 0.924 0.000 0.040 0.036
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.3080 0.64872 0.872 0.000 0.008 0.060 0.060
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.6475 0.68293 0.584 0.004 0.180 0.016 0.216
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.6842 0.69181 0.604 0.040 0.112 0.024 0.220
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.6415 0.68764 0.592 0.004 0.172 0.016 0.216
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.1329 0.69718 0.004 0.032 0.008 0.000 0.956
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.5075 0.69655 0.016 0.648 0.012 0.012 0.312
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.4079 0.71367 0.792 0.012 0.028 0.004 0.164
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.5524 0.64622 0.040 0.608 0.008 0.012 0.332
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.0798 0.71342 0.016 0.008 0.000 0.000 0.976
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.4114 0.64784 0.624 0.000 0.000 0.000 0.376
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.2189 0.69822 0.904 0.000 0.000 0.012 0.084
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.6616 0.25078 0.468 0.004 0.416 0.052 0.060
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.2077 0.66182 0.000 0.084 0.008 0.000 0.908
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 4 0.6494 0.19851 0.164 0.004 0.380 0.452 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.3087 0.55620 0.872 0.012 0.016 0.092 0.008
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.4928 0.35626 0.040 0.256 0.008 0.004 0.692
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.4695 0.53083 0.524 0.000 0.008 0.004 0.464
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.6213 0.65903 0.028 0.580 0.024 0.040 0.328
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.2982 0.53330 0.860 0.000 0.020 0.116 0.004
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.2690 0.71645 0.844 0.000 0.000 0.000 0.156
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.7036 0.65327 0.536 0.008 0.204 0.028 0.224
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.6420 0.68348 0.592 0.004 0.176 0.016 0.212
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 4 0.3612 0.70899 0.000 0.268 0.000 0.732 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 5 0.1197 0.71448 0.048 0.000 0.000 0.000 0.952
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 5 0.4911 0.39325 0.248 0.012 0.020 0.016 0.704
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 5 0.2429 0.71647 0.076 0.020 0.000 0.004 0.900
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 5 0.6839 -0.20054 0.344 0.008 0.124 0.024 0.500
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.5766 0.40829 0.028 0.048 0.260 0.012 0.652
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 4 0.6249 0.30363 0.164 0.004 0.284 0.548 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.6266 0.23835 0.404 0.000 0.484 0.096 0.016
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.5432 0.73048 0.656 0.000 0.076 0.012 0.256
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.3661 0.37670 0.276 0.000 0.000 0.000 0.724
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.2707 0.63964 0.132 0.000 0.000 0.008 0.860
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.4470 0.66296 0.616 0.000 0.012 0.000 0.372
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.6570 0.66808 0.580 0.004 0.192 0.020 0.204
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.4929 0.71490 0.648 0.000 0.032 0.008 0.312
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.0451 0.70970 0.004 0.008 0.000 0.000 0.988
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.3234 0.70025 0.836 0.012 0.000 0.008 0.144
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.2452 0.69609 0.896 0.000 0.004 0.016 0.084
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.5225 0.59337 0.280 0.032 0.000 0.028 0.660
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.3491 0.67990 0.836 0.012 0.000 0.028 0.124
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.2660 0.71933 0.864 0.000 0.000 0.008 0.128
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4103 0.66334 0.748 0.012 0.000 0.012 0.228
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.5171 0.69749 0.016 0.644 0.012 0.016 0.312
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.3835 0.73634 0.744 0.000 0.000 0.012 0.244
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0981 0.75074 0.008 0.000 0.972 0.012 0.008
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.4254 0.65136 0.144 0.048 0.004 0.012 0.792
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.5588 0.66931 0.036 0.620 0.016 0.012 0.316
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.1121 0.71588 0.044 0.000 0.000 0.000 0.956
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.7154 0.61454 0.504 0.008 0.236 0.024 0.228
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.6678 0.66362 0.572 0.004 0.196 0.024 0.204
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.2835 0.68277 0.880 0.000 0.004 0.036 0.080
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.4713 0.59596 0.112 0.104 0.004 0.012 0.768
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.2757 0.60889 0.888 0.000 0.008 0.072 0.032
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 5 0.4192 -0.04827 0.404 0.000 0.000 0.000 0.596
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.5101 0.70055 0.032 0.688 0.016 0.008 0.256
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4862 0.67926 0.020 0.640 0.012 0.000 0.328
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.1124 0.71539 0.036 0.000 0.000 0.004 0.960
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.6677 0.66901 0.572 0.004 0.192 0.024 0.208
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.6129 0.71419 0.616 0.004 0.108 0.020 0.252
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.4443 0.58793 0.680 0.008 0.000 0.012 0.300
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.6482 0.67419 0.584 0.004 0.188 0.016 0.208
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 5 0.5665 0.47967 0.192 0.028 0.072 0.012 0.696
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.3531 0.64662 0.152 0.016 0.000 0.012 0.820
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3807 0.68453 0.776 0.012 0.000 0.008 0.204
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.6801 -0.19448 0.456 0.032 0.016 0.076 0.420
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.1739 0.71483 0.032 0.024 0.000 0.004 0.940
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.6651 0.66633 0.576 0.004 0.192 0.024 0.204
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.1667 0.73979 0.012 0.004 0.948 0.024 0.012
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3462 0.65219 0.016 0.084 0.028 0.012 0.860
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.5619 0.68751 0.596 0.004 0.040 0.020 0.340
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.4798 0.70568 0.012 0.672 0.012 0.008 0.296
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.7264 0.63969 0.580 0.052 0.096 0.044 0.228
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.3639 0.64469 0.184 0.024 0.000 0.000 0.792
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.6676 -0.06170 0.480 0.056 0.016 0.040 0.408
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.8459 0.16221 0.336 0.128 0.072 0.064 0.400
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 4 0.5280 0.65014 0.004 0.364 0.048 0.584 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4392 0.65237 0.612 0.000 0.008 0.000 0.380
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.2141 0.66770 0.000 0.064 0.016 0.004 0.916
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4273 0.41684 0.552 0.000 0.000 0.000 0.448
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.2439 0.71119 0.120 0.000 0.000 0.004 0.876
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.7078 0.12763 0.164 0.032 0.396 0.408 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.5838 0.53679 0.300 0.028 0.012 0.040 0.620
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.3816 0.30036 0.304 0.000 0.000 0.000 0.696
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.2356 0.70264 0.056 0.024 0.004 0.004 0.912
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.6570 0.66808 0.580 0.004 0.192 0.020 0.204
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.4151 0.17623 0.344 0.000 0.004 0.000 0.652
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.4813 0.62906 0.248 0.020 0.012 0.012 0.708
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6679 0.65856 0.572 0.004 0.200 0.024 0.200
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0820 0.78592 0.972 0.000 0.012 0.000 0.016 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3407 0.77336 0.108 0.004 0.040 0.016 0.832 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.3991 0.03237 0.524 0.000 0.000 0.004 0.472 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1908 0.75672 0.900 0.000 0.096 0.000 0.004 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.1606 0.79050 0.000 0.008 0.932 0.056 0.000 0.004
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0405 0.78513 0.988 0.000 0.004 0.000 0.008 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.2362 0.77390 0.136 0.000 0.000 0.004 0.860 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2199 0.76431 0.892 0.000 0.000 0.020 0.088 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 5 0.5810 -0.04511 0.380 0.000 0.000 0.184 0.436 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.4094 0.65267 0.088 0.000 0.000 0.168 0.744 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.5043 0.61668 0.072 0.012 0.196 0.024 0.696 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4171 0.37292 0.004 0.008 0.676 0.008 0.300 0.004
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.83266 0.000 0.000 1.000 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0508 0.87894 0.000 0.984 0.000 0.000 0.012 0.004
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.5615 0.49744 0.584 0.004 0.192 0.004 0.216 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.1908 0.78527 0.096 0.000 0.000 0.004 0.900 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0146 0.83024 0.004 0.000 0.996 0.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.83266 0.000 0.000 1.000 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.1152 0.89208 0.000 0.952 0.000 0.004 0.044 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.1434 0.77944 0.024 0.020 0.000 0.008 0.948 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0622 0.78494 0.980 0.000 0.012 0.000 0.008 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 5 0.6127 -0.07616 0.248 0.004 0.000 0.328 0.420 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.1692 0.75455 0.008 0.012 0.000 0.048 0.932 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0622 0.78560 0.980 0.000 0.008 0.000 0.012 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.3536 0.61035 0.736 0.000 0.004 0.008 0.252 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.1367 0.88906 0.000 0.944 0.000 0.012 0.044 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5982 0.38257 0.332 0.016 0.556 0.060 0.020 0.016
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 5 0.1478 0.78132 0.032 0.004 0.000 0.020 0.944 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.7290 0.00756 0.032 0.020 0.404 0.080 0.396 0.068
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.2320 0.77553 0.132 0.000 0.000 0.004 0.864 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3890 0.31740 0.596 0.000 0.000 0.004 0.400 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.2278 0.77670 0.128 0.000 0.000 0.004 0.868 0.000
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#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 5 0.6664 0.42474 0.240 0.020 0.056 0.076 0.580 0.028
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.2163 0.72704 0.008 0.004 0.000 0.096 0.892 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 4 0.4957 0.26786 0.004 0.016 0.020 0.532 0.424 0.004
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.4625 0.60705 0.016 0.024 0.028 0.184 0.740 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 6 0.3007 0.87698 0.004 0.140 0.012 0.008 0.000 0.836
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1196 0.78221 0.952 0.000 0.000 0.008 0.040 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.1753 0.78592 0.084 0.004 0.000 0.000 0.912 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 5 0.4481 0.52426 0.284 0.000 0.000 0.060 0.656 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.1320 0.78263 0.036 0.000 0.000 0.016 0.948 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 4 0.6237 -0.18848 0.004 0.024 0.380 0.472 0.008 0.112
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.4482 -0.05474 0.008 0.004 0.004 0.468 0.512 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.3756 0.50195 0.352 0.000 0.000 0.004 0.644 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.1003 0.77339 0.004 0.028 0.000 0.000 0.964 0.004
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0777 0.78279 0.972 0.000 0.024 0.000 0.004 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3265 0.63014 0.748 0.000 0.000 0.004 0.248 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.2302 0.70591 0.008 0.000 0.000 0.120 0.872 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2743 0.70870 0.828 0.000 0.164 0.000 0.008 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "NMF"]
# you can also extract it by
# res = res_list["MAD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.850 0.912 0.963 0.3867 0.618 0.618
#> 3 3 0.444 0.625 0.787 0.5906 0.728 0.578
#> 4 4 0.780 0.810 0.920 0.1671 0.784 0.518
#> 5 5 0.620 0.548 0.773 0.1024 0.856 0.541
#> 6 6 0.666 0.589 0.765 0.0451 0.889 0.539
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9696 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9696 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9696 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9696 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 1 0.7139 0.7305 0.804 0.196
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9696 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9696 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9696 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9696 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9696 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.0000 0.9696 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.6973 0.7804 0.188 0.812
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 1 0.0000 0.9696 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9341 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9696 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9696 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.0000 0.9696 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 1 0.0000 0.9696 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9341 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.8661 0.6134 0.288 0.712
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9696 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9696 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.7815 0.7057 0.232 0.768
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9696 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9696 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9341 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9696 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1414 0.9520 0.980 0.020
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.0000 0.9696 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9696 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9696 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9696 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.9209 0.4759 0.664 0.336
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9696 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9341 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9341 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.9248 0.4406 0.660 0.340
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.1184 0.9557 0.984 0.016
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9341 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9696 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9341 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9696 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9341 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9341 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9696 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9696 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9696 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4431 0.8783 0.908 0.092
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9696 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9696 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9696 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9341 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9696 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9696 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9696 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 1.0000 -0.0296 0.500 0.500
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9341 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9696 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9341 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.6887 0.7604 0.816 0.184
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9696 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9341 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9696 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.9850 0.2370 0.572 0.428
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.8661 0.6428 0.288 0.712
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9696 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.9795 0.3622 0.416 0.584
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.6531 0.7831 0.832 0.168
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9341 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9696 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.1843 0.9175 0.028 0.972
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9341 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.9341 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.9696 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0672 0.9628 0.992 0.008
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.6148 0.8186 0.152 0.848
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9341 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.9696 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9696 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9341 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.9696 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.9696 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9696 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9696 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9696 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.0000 0.9696 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9696 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.6801 0.7662 0.820 0.180
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.0000 0.9696 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.0000 0.9696 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.0000 0.9696 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9696 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9696 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9696 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9696 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9696 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9696 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9696 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9341 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9341 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9341 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.5842 0.8295 0.140 0.860
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9696 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.8955 0.5381 0.688 0.312
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9696 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.9850 0.2367 0.572 0.428
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.6801 0.7663 0.820 0.180
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9341 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.9696 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9696 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.9696 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9341 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0000 0.9696 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9696 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.9696 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9341 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9341 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.9696 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.9696 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.9696 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.9696 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9696 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.9696 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.0000 0.9696 1.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9696 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.9393 0.4238 0.644 0.356
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.9696 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9341 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.9696 1.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.9696 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9341 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.9696 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9341 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.9341 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.9696 1.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0000 0.9696 1.000 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.5408 0.8405 0.876 0.124
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 1 0.2236 0.9369 0.964 0.036
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.0000 0.9696 1.000 0.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.9696 1.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.7219 0.7663 0.200 0.800
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 1 0.0000 0.9696 1.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.0000 0.9696 1.000 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 2 0.5946 0.8166 0.144 0.856
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.9341 0.000 1.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 1 0.0000 0.9696 1.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 2 0.2948 0.9021 0.052 0.948
#> B523A296-8146-456A-9942-7147A1882B01 1 0.0000 0.9696 1.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 1 0.2778 0.9245 0.952 0.048
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 1 0.0000 0.9696 1.000 0.000
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 1 0.0000 0.9696 1.000 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 1 0.0000 0.9696 1.000 0.000
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 1 0.0000 0.9696 1.000 0.000
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.0000 0.9696 1.000 0.000
#> 96B96425-04BD-4676-85EC-CCBC598533AB 1 0.0000 0.9696 1.000 0.000
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 1 0.0000 0.9696 1.000 0.000
#> 62F9813C-C4A1-4130-9CAD-3242823468EC 1 0.0000 0.9696 1.000 0.000
#> 3B32E2B1-2825-430A-9081-2CAAE9A5FC7B 2 0.0000 0.9341 0.000 1.000
#> D09CCEEC-D367-4E44-B5F9-B3C63E19978F 2 0.7219 0.7662 0.200 0.800
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#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9341 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.9696 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.9696 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.9696 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9696 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.9696 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9696 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.9696 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.9696 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 1 0.6623 0.7689 0.828 0.172
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.9696 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.9248 0.5295 0.340 0.660
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9341 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9696 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9696 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9696 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9696 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.9696 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9341 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9696 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9341 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9696 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9696 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9696 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9696 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.5842 0.8262 0.140 0.860
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.0000 0.9696 1.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9696 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9341 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9696 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9341 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9696 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9696 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9696 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9696 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9341 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9696 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9696 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.9696 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9696 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 1 0.6623 0.7684 0.828 0.172
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9341 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.0000 0.9696 1.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9696 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9696 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9696 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9696 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9696 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9696 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9696 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9696 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9696 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9696 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9696 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9696 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9696 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9341 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9696 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.0000 0.9696 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 2 0.9866 0.2640 0.432 0.568
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9341 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9696 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9696 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9696 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9696 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9341 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9696 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9696 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9341 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9341 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9696 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9696 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9696 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9696 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9696 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9696 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9696 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9696 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 2 0.7219 0.7498 0.200 0.800
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.1633 0.9483 0.976 0.024
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9696 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.9608 0.4423 0.384 0.616
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9696 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9696 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9341 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9696 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0376 0.9662 0.996 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.0672 0.9627 0.992 0.008
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 1 0.8267 0.6242 0.740 0.260
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9341 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9696 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9696 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9696 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9696 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.7219 0.7662 0.200 0.800
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0376 0.9662 0.996 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9696 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.6148 0.8051 0.848 0.152
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9696 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9696 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9696 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9696 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3941 0.697260 0.844 0.000 0.156
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.5016 0.588168 0.240 0.000 0.760
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.6180 0.283533 0.584 0.000 0.416
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.4974 0.615210 0.764 0.000 0.236
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.5728 0.554314 0.272 0.008 0.720
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.3116 0.731068 0.892 0.000 0.108
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.4291 0.667650 0.820 0.000 0.180
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.2165 0.750917 0.936 0.000 0.064
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3941 0.689186 0.844 0.000 0.156
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0237 0.765752 0.996 0.000 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.5397 0.547389 0.280 0.000 0.720
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.3995 0.588563 0.016 0.116 0.868
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.5291 0.561105 0.268 0.000 0.732
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.878818 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.5968 0.402109 0.364 0.000 0.636
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1964 0.755355 0.944 0.000 0.056
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.5397 0.547389 0.280 0.000 0.720
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.5397 0.547389 0.280 0.000 0.720
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.878818 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.7915 0.524949 0.248 0.108 0.644
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3879 0.701100 0.848 0.000 0.152
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4235 0.670328 0.824 0.000 0.176
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.9651 -0.050619 0.208 0.396 0.396
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.4062 0.688987 0.836 0.000 0.164
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4235 0.741532 0.824 0.000 0.176
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.878818 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.5397 0.547389 0.280 0.000 0.720
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.6282 0.344965 0.384 0.004 0.612
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.7618 0.411150 0.628 0.068 0.304
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.5363 0.549031 0.724 0.000 0.276
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.4750 0.628139 0.784 0.000 0.216
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.3267 0.743224 0.884 0.000 0.116
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.8994 0.308106 0.260 0.556 0.184
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3038 0.733851 0.896 0.000 0.104
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4796 0.637055 0.000 0.780 0.220
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.878818 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3038 0.649788 0.104 0.000 0.896
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.3267 0.743285 0.912 0.044 0.044
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.878818 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.6299 0.080366 0.524 0.000 0.476
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.878818 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.5397 0.556715 0.720 0.000 0.280
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0237 0.876485 0.000 0.996 0.004
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.878818 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.5529 0.524013 0.704 0.000 0.296
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.3340 0.717512 0.880 0.000 0.120
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.2165 0.643446 0.064 0.000 0.936
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.3349 0.724378 0.888 0.004 0.108
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.5591 0.508058 0.696 0.000 0.304
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 3 0.5591 0.487803 0.304 0.000 0.696
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.4974 0.629292 0.764 0.000 0.236
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.878818 0.000 1.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.2448 0.745672 0.924 0.000 0.076
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0592 0.765245 0.988 0.000 0.012
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2356 0.749495 0.928 0.000 0.072
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.5882 0.422788 0.652 0.348 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4796 0.668691 0.000 0.780 0.220
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1529 0.759595 0.960 0.000 0.040
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.1999 0.844596 0.012 0.952 0.036
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.5848 0.532986 0.268 0.012 0.720
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3038 0.734543 0.896 0.000 0.104
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.878818 0.000 1.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.3340 0.723339 0.880 0.000 0.120
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.6424 0.578407 0.180 0.068 0.752
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.6306 0.578669 0.200 0.748 0.052
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.5216 0.592638 0.740 0.000 0.260
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0592 0.869362 0.012 0.988 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 3 0.5763 0.555895 0.244 0.016 0.740
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.878818 0.000 1.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.2261 0.751246 0.932 0.000 0.068
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.4121 0.547840 0.000 0.168 0.832
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.878818 0.000 1.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.878818 0.000 1.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.1411 0.760724 0.964 0.000 0.036
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.6062 0.356821 0.616 0.000 0.384
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0424 0.873924 0.000 0.992 0.008
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#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.6111 0.328177 0.604 0.000 0.396
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4750 0.639365 0.784 0.000 0.216
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.4702 0.643823 0.788 0.000 0.212
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.2165 0.750917 0.936 0.000 0.064
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4750 0.639365 0.784 0.000 0.216
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.5216 0.589099 0.740 0.000 0.260
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.5733 0.475717 0.676 0.000 0.324
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0237 0.765580 0.996 0.000 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 3 0.9461 0.315203 0.216 0.292 0.492
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.6553 0.456481 0.324 0.020 0.656
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4842 0.630205 0.776 0.000 0.224
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.7097 0.560405 0.128 0.148 0.724
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.4618 0.557655 0.024 0.136 0.840
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4887 0.628910 0.772 0.000 0.228
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.878818 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.5291 0.572568 0.732 0.000 0.268
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.6287 0.529647 0.704 0.024 0.272
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 1 0.5621 0.497965 0.692 0.308 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.4164 0.720162 0.144 0.848 0.008
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.878818 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2959 0.731320 0.900 0.000 0.100
#> 0E942B03-D2E5-475F-876A-AE092CB34303 3 0.1711 0.636521 0.032 0.008 0.960
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.2625 0.741692 0.916 0.000 0.084
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2165 0.750752 0.936 0.000 0.064
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.5174 0.697787 0.092 0.832 0.076
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3572 0.738836 0.900 0.060 0.040
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.5363 0.549031 0.724 0.000 0.276
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.8440 0.062795 0.492 0.088 0.420
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4796 0.634664 0.780 0.000 0.220
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.6225 0.255497 0.568 0.000 0.432
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.2280 0.755997 0.940 0.008 0.052
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6295 0.087695 0.528 0.000 0.472
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0921 0.9024 0.972 0.000 0.028 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.2345 0.8109 0.100 0.000 0.000 0.900
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.4222 0.6239 0.272 0.000 0.728 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0188 0.9147 0.996 0.000 0.004 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.2216 0.8572 0.908 0.000 0.000 0.092
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1474 0.8894 0.948 0.000 0.000 0.052
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.4277 0.5542 0.000 0.000 0.280 0.720
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3688 0.7316 0.792 0.000 0.208 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.2408 0.8507 0.896 0.000 0.000 0.104
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0336 0.9129 0.992 0.000 0.008 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 3 0.5409 -0.0269 0.492 0.000 0.496 0.012
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.1637 0.8449 0.060 0.000 0.940 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0188 0.8801 0.000 0.004 0.996 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.4998 0.0764 0.512 0.000 0.000 0.488
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.3123 0.7885 0.844 0.000 0.000 0.156
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.6983 0.1817 0.516 0.000 0.124 0.360
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 2 0.7136 0.1578 0.136 0.488 0.000 0.376
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0469 0.9111 0.988 0.000 0.012 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4959 0.6875 0.000 0.752 0.052 0.196
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.1022 0.8688 0.032 0.000 0.000 0.968
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.0188 0.8805 0.004 0.000 0.996 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.1211 0.9006 0.000 0.960 0.000 0.040
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.4916 0.2305 0.424 0.000 0.000 0.576
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0921 0.9032 0.972 0.000 0.000 0.028
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.4072 0.6036 0.000 0.000 0.252 0.748
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0592 0.9094 0.984 0.000 0.000 0.016
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.1792 0.8417 0.068 0.000 0.000 0.932
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.4917 0.5120 0.656 0.000 0.008 0.336
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.3907 0.7034 0.768 0.232 0.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 4 0.1302 0.8570 0.000 0.044 0.000 0.956
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.2647 0.8359 0.880 0.000 0.120 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0336 0.9130 0.992 0.000 0.008 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.1474 0.8845 0.052 0.948 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.7318 0.1143 0.476 0.000 0.160 0.364
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.3311 0.7435 0.000 0.000 0.828 0.172
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.2081 0.8527 0.000 0.916 0.084 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.0817 0.8727 0.024 0.000 0.000 0.976
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.4679 0.4058 0.000 0.000 0.352 0.648
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 3 0.0336 0.8786 0.008 0.000 0.992 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.4989 0.0595 0.472 0.000 0.000 0.528
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0188 0.9147 0.996 0.000 0.004 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.0188 0.8818 0.004 0.000 0.000 0.996
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.1302 0.8880 0.956 0.000 0.044 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0336 0.9130 0.992 0.000 0.008 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.3569 0.7066 0.196 0.000 0.000 0.804
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 3 0.4972 0.1242 0.456 0.000 0.544 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.4312 0.7703 0.000 0.812 0.056 0.132
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.5102 0.7029 0.136 0.764 0.000 0.100
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.5000 -0.0328 0.500 0.000 0.000 0.500
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 4 0.0188 0.8815 0.000 0.004 0.000 0.996
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.2814 0.8247 0.868 0.000 0.000 0.132
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.3444 0.7683 0.816 0.000 0.000 0.184
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.4477 0.4917 0.000 0.000 0.312 0.688
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 3 0.3402 0.7465 0.164 0.000 0.832 0.004
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.4193 0.6435 0.732 0.000 0.268 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.4406 0.5893 0.700 0.000 0.300 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.4364 0.7789 0.816 0.092 0.000 0.092
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.1474 0.8880 0.948 0.000 0.052 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1302 0.8923 0.956 0.000 0.044 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0000 0.8829 0.000 0.000 0.000 1.000
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#> FFDB999C-00C0-4698-9274-C717C20967F9 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.2408 0.8413 0.000 0.896 0.000 0.104
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 3 0.3074 0.7682 0.152 0.000 0.848 0.000
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 4 0.0336 0.8794 0.000 0.000 0.008 0.992
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 3 0.1211 0.8595 0.040 0.000 0.960 0.000
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 2 0.5550 0.1698 0.020 0.552 0.428 0.000
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 4 0.4713 0.4056 0.000 0.360 0.000 0.640
#> E0053297-AB5D-4580-9328-7C3743E9CB14 4 0.6432 0.2429 0.000 0.076 0.372 0.552
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 4 0.4164 0.6179 0.264 0.000 0.000 0.736
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.2868 0.8209 0.864 0.000 0.000 0.136
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 4 0.0336 0.8794 0.000 0.000 0.008 0.992
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 4 0.4936 0.4558 0.340 0.000 0.008 0.652
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0817 0.9050 0.976 0.000 0.024 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.7901 0.0978 0.316 0.312 0.372 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.4636 0.7297 0.792 0.068 0.140 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.2081 0.8483 0.084 0.916 0.000 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 2 0.6830 0.1899 0.388 0.508 0.000 0.104
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.3444 0.7706 0.816 0.000 0.000 0.184
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.4804 0.5426 0.016 0.276 0.708 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.4981 0.1121 0.536 0.464 0.000 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.0817 0.8727 0.024 0.000 0.000 0.976
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 4 0.0336 0.8797 0.000 0.000 0.008 0.992
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0921 0.9028 0.972 0.028 0.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0707 0.9070 0.980 0.000 0.020 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 3 0.1211 0.8602 0.040 0.000 0.960 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0469 0.9113 0.988 0.000 0.000 0.012
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.1474 0.8890 0.948 0.000 0.000 0.052
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.1867 0.8361 0.072 0.000 0.000 0.928
#> 46859620-8B87-4425-835F-7960023E4B07 4 0.1637 0.8506 0.060 0.000 0.000 0.940
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.3219 0.7535 0.164 0.000 0.000 0.836
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.0592 0.9170 0.016 0.984 0.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.2216 0.8557 0.908 0.000 0.092 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.0188 0.8807 0.004 0.000 0.996 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.3311 0.7712 0.828 0.000 0.172 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 4 0.5523 0.2945 0.024 0.000 0.380 0.596
#> 3F79FC21-B181-42FE-914B-CC298BD72343 4 0.0188 0.8816 0.000 0.004 0.000 0.996
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0188 0.9147 0.996 0.000 0.004 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.3444 0.7402 0.816 0.000 0.184 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.2469 0.8431 0.892 0.000 0.108 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.2216 0.8565 0.908 0.000 0.092 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 4 0.1022 0.8678 0.032 0.000 0.000 0.968
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.0188 0.8804 0.004 0.000 0.996 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.3649 0.7417 0.796 0.000 0.000 0.204
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.1118 0.8632 0.036 0.000 0.964 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.3649 0.7156 0.204 0.000 0.796 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.3801 0.7234 0.780 0.000 0.000 0.220
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 4 0.0707 0.8749 0.020 0.000 0.000 0.980
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 4 0.3649 0.7050 0.204 0.000 0.000 0.796
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.0336 0.8787 0.008 0.000 0.992 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 4 0.1211 0.8607 0.000 0.040 0.000 0.960
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.3975 0.6932 0.760 0.000 0.000 0.240
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.3942 0.6709 0.000 0.764 0.000 0.236
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.0336 0.8803 0.008 0.000 0.000 0.992
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.4955 0.2302 0.556 0.000 0.444 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.4222 0.6377 0.728 0.000 0.272 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0188 0.9148 0.996 0.000 0.000 0.004
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4454 0.5706 0.692 0.000 0.308 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.3837 0.6857 0.224 0.000 0.776 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.1211 0.8620 0.040 0.000 0.000 0.960
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4843 0.3376 0.604 0.000 0.396 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.8822 0.000 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 4 0.1211 0.8580 0.000 0.000 0.040 0.960
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4679 0.4577 0.648 0.000 0.352 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0188 0.8806 0.004 0.000 0.996 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4522 0.5473 0.680 0.000 0.000 0.320
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.4981 0.1881 0.464 0.536 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0188 0.9285 0.004 0.996 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9317 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.2081 0.8210 0.000 0.000 0.084 0.916
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0188 0.9285 0.004 0.996 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0707 0.9074 0.980 0.020 0.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.4999 -0.0137 0.492 0.000 0.000 0.508
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.0000 0.8829 0.000 0.000 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4072 0.6551 0.748 0.000 0.252 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.2589 0.7951 0.116 0.000 0.000 0.884
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9164 1.000 0.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.8822 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3182 0.5193 0.844 0.000 0.032 0.124 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.2891 0.6679 0.176 0.000 0.824 0.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.2707 0.7738 0.100 0.000 0.000 0.024 0.876
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.4597 0.2654 0.424 0.000 0.564 0.012 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0290 0.7534 0.008 0.000 0.992 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.4126 0.3830 0.380 0.000 0.000 0.620 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.4676 0.4951 0.740 0.000 0.000 0.120 0.140
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#> C171C3CC-30ED-4D69-944A-9BCA61540D49 5 0.0162 0.7925 0.004 0.000 0.000 0.000 0.996
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.0963 0.7473 0.036 0.000 0.964 0.000 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.3461 0.6525 0.224 0.772 0.004 0.000 0.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0404 0.9136 0.012 0.988 0.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 5 0.4905 0.1558 0.476 0.000 0.000 0.024 0.500
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.3130 0.6089 0.048 0.000 0.000 0.856 0.096
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.0609 0.7939 0.020 0.000 0.000 0.000 0.980
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 4 0.5086 0.1248 0.396 0.000 0.000 0.564 0.040
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 5 0.4041 0.6833 0.004 0.000 0.040 0.176 0.780
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 5 0.4981 0.2689 0.004 0.000 0.024 0.412 0.560
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.3134 0.5810 0.032 0.120 0.000 0.848 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.4747 0.1954 0.620 0.000 0.028 0.352 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.4287 -0.1397 0.460 0.000 0.000 0.540 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.8096 0.1243 0.208 0.132 0.416 0.244 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.6787 0.3344 0.480 0.016 0.180 0.324 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.0324 0.7546 0.004 0.000 0.992 0.000 0.004
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.6225 0.1308 0.148 0.484 0.000 0.368 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 4 0.3796 0.5039 0.300 0.000 0.000 0.700 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.4983 0.4536 0.000 0.272 0.000 0.664 0.064
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.7139 0.1052 0.344 0.000 0.012 0.304 0.340
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.6699 0.3557 0.296 0.064 0.552 0.088 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.3317 0.5137 0.848 0.112 0.000 0.032 0.008
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.1270 0.6455 0.052 0.000 0.000 0.948 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.1357 0.7946 0.048 0.000 0.000 0.004 0.948
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 5 0.4791 0.7141 0.032 0.064 0.128 0.004 0.772
#> 13A31E81-1182-4A62-854E-F47911390CA5 3 0.1831 0.7237 0.004 0.000 0.920 0.076 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.3715 0.4961 0.004 0.260 0.000 0.736 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.3561 0.5259 0.260 0.000 0.000 0.740 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.3409 0.5204 0.836 0.000 0.052 0.112 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.2813 0.4942 0.832 0.000 0.000 0.168 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 3 0.4300 0.1652 0.476 0.000 0.524 0.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.4961 0.3565 0.596 0.028 0.004 0.372 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 5 0.0794 0.7946 0.028 0.000 0.000 0.000 0.972
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.0324 0.6480 0.004 0.000 0.000 0.992 0.004
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.5642 0.4552 0.624 0.000 0.000 0.240 0.136
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 4 0.3242 0.5641 0.216 0.000 0.000 0.784 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 5 0.3612 0.6875 0.016 0.000 0.004 0.184 0.796
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.3039 0.4896 0.808 0.000 0.000 0.000 0.192
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.0000 0.7544 0.000 0.000 1.000 0.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.5087 0.2823 0.020 0.000 0.016 0.600 0.364
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.5403 0.4990 0.108 0.644 0.000 0.248 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0510 0.6450 0.016 0.000 0.000 0.984 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.5964 0.4376 0.588 0.000 0.232 0.180 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.3607 0.5738 0.004 0.000 0.752 0.244 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.4441 0.4172 0.720 0.000 0.236 0.044 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.6914 0.1285 0.420 0.000 0.244 0.008 0.328
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.3143 0.6785 0.000 0.204 0.000 0.000 0.796
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.3816 0.4795 0.304 0.000 0.000 0.696 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.2690 0.7489 0.156 0.000 0.000 0.000 0.844
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.3550 0.4315 0.760 0.000 0.000 0.236 0.004
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0162 0.6476 0.004 0.000 0.000 0.996 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.1830 0.7399 0.068 0.000 0.924 0.008 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.0703 0.7943 0.024 0.000 0.000 0.000 0.976
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.6418 0.3098 0.472 0.000 0.184 0.344 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.4304 0.1715 0.516 0.000 0.000 0.484 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.1041 0.8986 0.032 0.964 0.000 0.000 0.004
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.3243 0.5499 0.004 0.000 0.180 0.812 0.004
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.3766 0.6416 0.268 0.728 0.004 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.2074 0.6271 0.104 0.000 0.000 0.896 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.3336 0.5566 0.228 0.000 0.000 0.772 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 3 0.0703 0.7523 0.024 0.000 0.976 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.6645 0.2589 0.432 0.000 0.332 0.236 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.5201 0.0496 0.532 0.000 0.000 0.044 0.424
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 3 0.0833 0.7521 0.004 0.000 0.976 0.016 0.004
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.5123 0.2350 0.044 0.000 0.000 0.572 0.384
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 3 0.3508 0.5761 0.252 0.000 0.748 0.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.1671 0.7401 0.076 0.000 0.924 0.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.3297 0.7911 0.068 0.848 0.000 0.084 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.5092 0.2123 0.440 0.000 0.524 0.036 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.4249 0.3133 0.432 0.000 0.000 0.568 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 5 0.3500 0.6955 0.004 0.000 0.016 0.172 0.808
#> DF9D7119-111B-49A5-8D4D-B625631CC450 5 0.1901 0.7785 0.004 0.000 0.012 0.056 0.928
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.4278 0.2641 0.452 0.000 0.000 0.548 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.6056 0.3414 0.296 0.000 0.552 0.152 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.3246 0.4816 0.808 0.000 0.000 0.184 0.008
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.4273 0.2717 0.448 0.000 0.000 0.000 0.552
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.3039 0.5747 0.192 0.000 0.000 0.808 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0609 0.6486 0.020 0.000 0.000 0.980 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.5174 0.3852 0.604 0.000 0.000 0.340 0.056
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0290 0.6468 0.008 0.000 0.000 0.992 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.3586 0.5142 0.264 0.000 0.000 0.736 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.3395 0.4738 0.236 0.000 0.000 0.764 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0404 0.9145 0.012 0.988 0.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.4450 -0.1781 0.488 0.000 0.004 0.508 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0162 0.7544 0.000 0.000 0.996 0.000 0.004
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.1648 0.7959 0.040 0.000 0.000 0.020 0.940
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0771 0.9071 0.020 0.976 0.000 0.000 0.004
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 5 0.5044 0.3286 0.408 0.000 0.000 0.036 0.556
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0162 0.7544 0.000 0.000 0.996 0.000 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 3 0.3612 0.5589 0.268 0.000 0.732 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.4235 0.0609 0.424 0.000 0.000 0.576 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.3883 0.6864 0.036 0.184 0.000 0.000 0.780
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.1270 0.6447 0.052 0.000 0.000 0.948 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.6058 0.2830 0.528 0.000 0.000 0.136 0.336
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0290 0.9149 0.000 0.992 0.000 0.008 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.1211 0.8979 0.024 0.960 0.000 0.000 0.016
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 5 0.4029 0.5628 0.316 0.000 0.000 0.004 0.680
#> DFEA52AF-4EB8-4400-A272-173531E42F20 3 0.5176 0.0899 0.468 0.000 0.492 0.040 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 3 0.4627 0.1654 0.012 0.000 0.544 0.444 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.3274 0.5029 0.220 0.000 0.000 0.780 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.5155 0.3282 0.052 0.000 0.352 0.596 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 3 0.3662 0.5798 0.252 0.000 0.744 0.004 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 5 0.3909 0.6824 0.216 0.000 0.000 0.024 0.760
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.0703 0.6485 0.024 0.000 0.000 0.976 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 5 0.0290 0.7921 0.008 0.000 0.000 0.000 0.992
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.2561 0.7774 0.096 0.000 0.000 0.020 0.884
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4343 0.4914 0.768 0.000 0.136 0.096 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.7544 0.000 0.000 1.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.3086 0.6497 0.004 0.000 0.180 0.000 0.816
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.5725 0.3580 0.624 0.000 0.172 0.204 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0162 0.9173 0.000 0.996 0.000 0.000 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.3687 0.6416 0.180 0.000 0.792 0.028 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 4 0.5608 0.3873 0.060 0.024 0.000 0.636 0.280
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.5976 0.0420 0.112 0.488 0.000 0.400 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0290 0.9148 0.008 0.992 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9192 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4298 0.3990 0.640 0.000 0.000 0.352 0.008
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.3033 0.7590 0.052 0.000 0.084 0.000 0.864
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.4323 0.4337 0.332 0.000 0.000 0.656 0.012
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.4641 -0.2152 0.456 0.000 0.000 0.532 0.012
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.7031 0.4377 0.084 0.572 0.156 0.188 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.3319 0.5548 0.020 0.160 0.000 0.820 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 5 0.5861 0.2362 0.100 0.000 0.000 0.400 0.500
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.4451 -0.1295 0.504 0.000 0.000 0.004 0.492
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.6114 0.3104 0.536 0.000 0.312 0.152 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.3796 0.5489 0.300 0.000 0.000 0.000 0.700
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.4954 -0.0550 0.528 0.020 0.000 0.448 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0703 0.7514 0.024 0.000 0.976 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.3757 0.56676 0.784 0.000 0.016 0.036 0.000 0.164
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.3044 0.71007 0.116 0.000 0.836 0.000 0.000 0.048
#> 1562153C-AC2E-4094-A936-75CC580367A9 5 0.3885 0.62552 0.044 0.000 0.000 0.000 0.736 0.220
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 3 0.5915 0.03390 0.264 0.000 0.468 0.000 0.000 0.268
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.77850 0.000 0.000 1.000 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4305 0.18129 0.544 0.000 0.000 0.436 0.000 0.020
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.3253 0.58761 0.844 0.000 0.000 0.032 0.092 0.032
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 6 0.3636 0.49029 0.320 0.000 0.000 0.004 0.000 0.676
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 6 0.7329 0.14114 0.244 0.000 0.000 0.128 0.232 0.396
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.4249 0.20023 0.640 0.000 0.000 0.032 0.000 0.328
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.3855 0.52553 0.272 0.000 0.704 0.000 0.000 0.024
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.4331 -0.08781 0.020 0.000 0.464 0.000 0.516 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0547 0.77579 0.020 0.000 0.980 0.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.89001 0.000 1.000 0.000 0.000 0.000 0.000
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#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 5 0.5061 0.43519 0.252 0.000 0.000 0.000 0.620 0.128
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2773 0.79584 0.152 0.004 0.000 0.836 0.000 0.008
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0363 0.77762 0.012 0.000 0.988 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.559 0.821 0.913 0.3792 0.606 0.606
#> 3 3 0.420 0.690 0.842 0.2755 0.938 0.899
#> 4 4 0.373 0.271 0.591 0.2560 0.729 0.547
#> 5 5 0.473 0.624 0.788 0.1755 0.730 0.414
#> 6 6 0.517 0.588 0.746 0.0462 0.976 0.917
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9278 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.9686 0.2180 0.604 0.396
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9278 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0376 0.9270 0.996 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.7602 0.7930 0.220 0.780
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9278 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9278 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9278 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1633 0.9195 0.976 0.024
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0376 0.9271 0.996 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.9129 0.4456 0.672 0.328
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.9896 0.0405 0.560 0.440
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.7602 0.7930 0.220 0.780
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.8155 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9278 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9278 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.7602 0.7930 0.220 0.780
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.7602 0.7930 0.220 0.780
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.8909 0.6850 0.308 0.692
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6048 0.7994 0.852 0.148
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1184 0.9238 0.984 0.016
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0672 0.9262 0.992 0.008
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.6247 0.7895 0.844 0.156
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9278 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0376 0.9273 0.996 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.8763 0.7020 0.296 0.704
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.7602 0.7930 0.220 0.780
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1184 0.9236 0.984 0.016
#> 54F31962-F589-4C36-B597-3965989EA02E 2 1.0000 0.2128 0.500 0.500
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9278 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9278 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9278 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.4939 0.8418 0.892 0.108
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0938 0.9254 0.988 0.012
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.5737 0.8242 0.136 0.864
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5737 0.8242 0.136 0.864
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.7602 0.7930 0.220 0.780
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9278 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.8144 0.7546 0.252 0.748
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4431 0.8637 0.908 0.092
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8155 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.1184 0.9238 0.984 0.016
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.4298 0.8293 0.088 0.912
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8155 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9278 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9278 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0938 0.9254 0.988 0.012
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9278 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9278 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9278 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9278 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8155 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9278 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0376 0.9271 0.996 0.004
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0376 0.9273 0.996 0.004
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.4298 0.8673 0.912 0.088
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.7815 0.7752 0.232 0.768
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0672 0.9262 0.992 0.008
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.9970 0.3209 0.468 0.532
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.2043 0.9146 0.968 0.032
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.5842 0.8116 0.860 0.140
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8155 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.9278 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0672 0.9262 0.992 0.008
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.6438 0.8218 0.164 0.836
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0672 0.9262 0.992 0.008
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.9998 0.2386 0.492 0.508
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0672 0.9262 0.992 0.008
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8155 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0938 0.9254 0.988 0.012
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.7139 0.8038 0.196 0.804
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.7299 0.7081 0.796 0.204
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.8155 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.7815 0.6644 0.768 0.232
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.9278 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 1.0000 0.2212 0.496 0.504
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.5842 0.8239 0.140 0.860
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.6623 0.7660 0.828 0.172
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.9000 0.4840 0.684 0.316
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8155 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.3114 0.8963 0.944 0.056
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.9278 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.9278 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.9278 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0376 0.9271 0.996 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.7602 0.7930 0.220 0.780
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.9278 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.9278 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.7602 0.7930 0.220 0.780
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.7602 0.7930 0.220 0.780
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.7453 0.7980 0.212 0.788
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.4562 0.8617 0.904 0.096
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.9278 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.9278 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.9278 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0376 0.9271 0.996 0.004
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.9278 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.9278 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.8155 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.8155 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.8155 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.8861 0.6956 0.304 0.696
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9278 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.7376 0.7099 0.792 0.208
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.9278 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.2236 0.9107 0.964 0.036
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.4298 0.8698 0.912 0.088
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.7950 0.7674 0.240 0.760
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.9278 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.9278 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0938 0.9247 0.988 0.012
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.8155 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.9833 0.1073 0.576 0.424
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.9278 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0672 0.9262 0.992 0.008
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.8155 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.8155 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0672 0.9262 0.992 0.008
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.9278 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0672 0.9266 0.992 0.008
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.1184 0.9238 0.984 0.016
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.2948 0.9017 0.948 0.052
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.9278 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.6712 0.7557 0.824 0.176
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.9278 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.9358 0.3637 0.648 0.352
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.9278 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.8155 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0672 0.9266 0.992 0.008
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.9278 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.8155 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.9278 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.8155 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.6973 0.8058 0.188 0.812
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.3733 0.8844 0.928 0.072
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0672 0.9262 0.992 0.008
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#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.9278 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 1 0.9944 -0.0360 0.544 0.456
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.1184 0.9236 0.984 0.016
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.2778 0.9042 0.952 0.048
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.8155 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0672 0.9262 0.992 0.008
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.3114 0.8976 0.944 0.056
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.1843 0.9171 0.972 0.028
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9278 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.8443 0.7401 0.272 0.728
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.7453 0.7980 0.212 0.788
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.8861 0.5122 0.696 0.304
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.8909 0.4967 0.692 0.308
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9278 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.9278 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0672 0.9266 0.992 0.008
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.7056 0.8128 0.192 0.808
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 1.0000 0.2074 0.500 0.500
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0672 0.9262 0.992 0.008
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.9278 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.5059 0.8277 0.112 0.888
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.2423 0.9103 0.960 0.040
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.9278 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.9278 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.9278 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.9278 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.8155 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0376 0.9271 0.996 0.004
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.3584 0.8857 0.932 0.068
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.9278 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.2043 0.9155 0.968 0.032
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.9278 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.1184 0.9236 0.984 0.016
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0376 0.9272 0.996 0.004
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.9278 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.4298 0.8281 0.088 0.912
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.1184 0.9234 0.984 0.016
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.3584 0.8840 0.932 0.068
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.4939 0.8256 0.108 0.892
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9278 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9278 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.4161 0.8737 0.916 0.084
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9278 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.7602 0.6886 0.780 0.220
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.3431 0.8264 0.064 0.936
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9278 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.8909 0.6850 0.308 0.692
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.1414 0.9206 0.980 0.020
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9278 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9278 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.6048 0.8007 0.852 0.148
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.9944 -0.0360 0.544 0.456
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.7453 0.7980 0.212 0.788
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9278 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.8763 0.7020 0.296 0.704
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.1633 0.9198 0.976 0.024
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.6343 0.8132 0.160 0.840
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0376 0.9272 0.996 0.004
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9278 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.5737 0.8155 0.864 0.136
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0672 0.9262 0.992 0.008
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.8155 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0376 0.9273 0.996 0.004
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9278 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0672 0.9264 0.992 0.008
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9278 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.9954 0.3499 0.460 0.540
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.3733 0.8291 0.072 0.928
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.6531 0.8207 0.168 0.832
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9278 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0376 0.9271 0.996 0.004
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.2043 0.9153 0.968 0.032
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9278 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0672 0.9266 0.992 0.008
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9278 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9278 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9278 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.1414 0.9219 0.980 0.020
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0672 0.9262 0.992 0.008
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9278 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9278 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0938 0.9250 0.988 0.012
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.8155 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9278 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.7602 0.7930 0.220 0.780
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.2236 0.9122 0.964 0.036
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.9209 0.6446 0.336 0.664
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.2043 0.9146 0.968 0.032
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.4161 0.8737 0.916 0.084
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9278 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9278 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.9977 -0.1093 0.528 0.472
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9278 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9278 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.6531 0.8160 0.168 0.832
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.5842 0.8239 0.140 0.860
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9278 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9278 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9278 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0672 0.9262 0.992 0.008
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9278 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9278 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9278 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9278 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0672 0.9263 0.992 0.008
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4298 0.8702 0.912 0.088
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0672 0.9266 0.992 0.008
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.2423 0.8227 0.040 0.960
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.1414 0.9215 0.980 0.020
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2778 0.9033 0.952 0.048
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.7950 0.7657 0.240 0.760
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.9881 0.0626 0.564 0.436
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4562 0.8612 0.904 0.096
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.9661 0.5321 0.392 0.608
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.9522 0.5745 0.372 0.628
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.8155 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9278 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.1184 0.9237 0.984 0.016
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1633 0.9197 0.976 0.024
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0672 0.9260 0.992 0.008
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.6343 0.8185 0.160 0.840
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2236 0.9105 0.964 0.036
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9278 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.5629 0.8148 0.868 0.132
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9278 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9278 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9278 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3431 0.8920 0.936 0.064
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.85675 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.9436 0.14209 0.504 0.256 0.240
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0237 0.85763 0.996 0.000 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1643 0.86028 0.956 0.000 0.044
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0237 0.65765 0.000 0.004 0.996
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1964 0.85783 0.944 0.000 0.056
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.85675 1.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.85675 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4750 0.78673 0.784 0.000 0.216
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0592 0.85750 0.988 0.000 0.012
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.8625 0.30446 0.560 0.124 0.316
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.9666 -0.05208 0.452 0.232 0.316
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0237 0.65765 0.000 0.004 0.996
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.5926 0.34993 0.000 0.644 0.356
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1964 0.85832 0.944 0.000 0.056
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0237 0.85787 0.996 0.000 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0237 0.65765 0.000 0.004 0.996
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0237 0.65765 0.000 0.004 0.996
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.9040 0.38386 0.240 0.556 0.204
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.6984 0.62769 0.656 0.040 0.304
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4504 0.80180 0.804 0.000 0.196
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4346 0.80877 0.816 0.000 0.184
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.6209 0.57770 0.628 0.004 0.368
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1289 0.86014 0.968 0.000 0.032
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2165 0.85794 0.936 0.000 0.064
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.8977 0.40149 0.232 0.564 0.204
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0237 0.65765 0.000 0.004 0.996
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4654 0.79251 0.792 0.000 0.208
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.8040 0.40090 0.300 0.092 0.608
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0237 0.85787 0.996 0.000 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.85675 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1411 0.85935 0.964 0.000 0.036
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.4749 0.79150 0.852 0.076 0.072
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4235 0.81557 0.824 0.000 0.176
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.7495 0.52969 0.084 0.668 0.248
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.7458 0.53310 0.084 0.672 0.244
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0237 0.65765 0.000 0.004 0.996
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0237 0.85750 0.996 0.000 0.004
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.8566 0.45935 0.188 0.608 0.204
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4749 0.79829 0.844 0.040 0.116
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.64854 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4605 0.79666 0.796 0.000 0.204
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.5760 0.26075 0.000 0.328 0.672
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.64854 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.85675 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.85675 1.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.3425 0.84578 0.884 0.004 0.112
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.85675 1.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.1163 0.85947 0.972 0.000 0.028
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0237 0.85679 0.996 0.000 0.004
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.85675 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.64854 0.000 1.000 0.000
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#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0747 0.85853 0.984 0.000 0.016
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.85675 1.000 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0237 0.85763 0.996 0.000 0.004
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.4504 0.80108 0.804 0.000 0.196
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.5926 0.34993 0.000 0.644 0.356
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.85675 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0237 0.65765 0.000 0.004 0.996
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.3112 0.85103 0.916 0.028 0.056
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.9598 0.25627 0.248 0.476 0.276
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.5036 0.80983 0.808 0.020 0.172
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.5560 0.70037 0.700 0.000 0.300
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.1643 0.85907 0.956 0.000 0.044
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.85675 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.9356 -0.05746 0.460 0.368 0.172
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.85675 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.85675 1.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.7556 0.52982 0.100 0.676 0.224
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.7186 0.54296 0.080 0.696 0.224
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0237 0.85787 0.996 0.000 0.004
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.1529 0.85961 0.960 0.000 0.040
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.2261 0.85560 0.932 0.000 0.068
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.4504 0.80161 0.804 0.000 0.196
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2537 0.85250 0.920 0.000 0.080
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1964 0.85832 0.944 0.000 0.056
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.85675 1.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.2356 0.85553 0.928 0.000 0.072
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.1399 0.86100 0.968 0.004 0.028
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.6053 0.72772 0.720 0.020 0.260
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4399 0.80740 0.812 0.000 0.188
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.6252 0.20184 0.000 0.556 0.444
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.4750 0.78664 0.784 0.000 0.216
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4555 0.80124 0.800 0.000 0.200
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.8437 0.47384 0.180 0.620 0.200
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.7903 0.31904 0.356 0.068 0.576
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.5621 0.68621 0.692 0.000 0.308
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.9484 0.22436 0.328 0.472 0.200
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.9408 0.26458 0.308 0.492 0.200
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.64854 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.85675 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0983 0.85662 0.980 0.004 0.016
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4702 0.79116 0.788 0.000 0.212
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0661 0.85538 0.988 0.004 0.008
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.3879 0.54278 0.000 0.152 0.848
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2152 0.84882 0.948 0.016 0.036
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0237 0.85763 0.996 0.000 0.004
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.5096 0.76415 0.836 0.080 0.084
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3038 0.84670 0.896 0.000 0.104
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.85675 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0237 0.85679 0.996 0.000 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5216 0.74756 0.740 0.000 0.260
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.497 0.144157 0.548 0.000 0.000 0.452
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.893 0.134336 0.248 0.116 0.156 0.480
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.497 0.127507 0.544 0.000 0.000 0.456
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.491 0.230665 0.580 0.000 0.000 0.420
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.398 0.444874 0.776 0.000 0.004 0.220
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.499 -0.005327 0.480 0.000 0.000 0.520
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.500 -0.018095 0.496 0.000 0.000 0.504
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.174 0.498963 0.940 0.000 0.056 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.500 -0.021704 0.488 0.000 0.000 0.512
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.845 0.082426 0.444 0.052 0.156 0.348
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.928 -0.046350 0.312 0.116 0.176 0.396
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.471 0.431070 0.000 0.640 0.360 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.487 0.308736 0.640 0.000 0.004 0.356
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.516 0.088868 0.524 0.000 0.004 0.472
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 4 0.769 -0.295803 0.060 0.252 0.104 0.584
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.599 0.393640 0.724 0.016 0.136 0.124
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.182 0.509619 0.944 0.000 0.036 0.020
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.128 0.512604 0.964 0.000 0.024 0.012
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.486 0.375866 0.764 0.004 0.192 0.040
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.483 0.257257 0.608 0.000 0.000 0.392
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.528 0.269919 0.588 0.000 0.012 0.400
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 4 0.755 -0.306471 0.052 0.260 0.100 0.588
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.177 0.505599 0.944 0.000 0.044 0.012
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.828 0.450532 0.372 0.056 0.448 0.124
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.516 0.088868 0.524 0.000 0.004 0.472
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.500 -0.030295 0.500 0.000 0.000 0.500
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.504 0.250943 0.592 0.000 0.004 0.404
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.639 0.045500 0.392 0.012 0.044 0.552
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.141 0.514736 0.960 0.000 0.024 0.016
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.849 0.341461 0.044 0.400 0.176 0.380
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.849 0.353679 0.044 0.412 0.176 0.368
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.499 0.107652 0.532 0.000 0.000 0.468
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 4 0.758 -0.370504 0.044 0.304 0.096 0.556
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.650 -0.144582 0.452 0.008 0.052 0.488
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.232 0.513244 0.924 0.000 0.040 0.036
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.686 0.414158 0.024 0.276 0.616 0.084
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.500 0.017604 0.500 0.000 0.000 0.500
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.485 0.235957 0.600 0.000 0.000 0.400
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.498 0.419487 0.704 0.004 0.016 0.276
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.500 -0.000399 0.488 0.000 0.000 0.512
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.509 0.218385 0.572 0.000 0.004 0.424
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.499 0.003359 0.468 0.000 0.000 0.532
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.499 0.079073 0.520 0.000 0.000 0.480
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.497 0.129223 0.544 0.000 0.000 0.456
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.500 -0.021704 0.488 0.000 0.000 0.512
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.447 0.453952 0.752 0.000 0.016 0.232
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.612 0.408438 0.660 0.012 0.060 0.268
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 4 0.819 -0.412665 0.064 0.316 0.116 0.504
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.222 0.513675 0.928 0.000 0.040 0.032
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.854 -0.026880 0.180 0.172 0.108 0.540
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.462 0.470948 0.772 0.012 0.016 0.200
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.399 0.399600 0.808 0.000 0.172 0.020
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.489 0.238058 0.588 0.000 0.000 0.412
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.439 0.472436 0.776 0.000 0.024 0.200
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.551 0.579759 0.032 0.088 0.772 0.108
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.500 0.052093 0.500 0.000 0.000 0.500
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.873 0.428577 0.368 0.068 0.404 0.160
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.453 0.441471 0.744 0.000 0.016 0.240
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.204 0.515424 0.936 0.000 0.032 0.032
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 4 0.891 -0.488133 0.056 0.328 0.236 0.380
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.717 0.101219 0.328 0.056 0.048 0.568
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.479 0.398873 0.000 0.620 0.380 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.540 0.139706 0.700 0.000 0.248 0.052
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.499 0.098684 0.528 0.000 0.000 0.472
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.833 0.440095 0.392 0.056 0.424 0.128
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 4 0.804 -0.531757 0.044 0.400 0.116 0.440
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.710 0.190568 0.504 0.036 0.052 0.408
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.740 0.039665 0.572 0.044 0.300 0.084
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.530 -0.029265 0.444 0.004 0.004 0.548
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.516 0.088868 0.524 0.000 0.004 0.472
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.500 -0.021947 0.496 0.000 0.000 0.504
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.497 0.135776 0.544 0.000 0.000 0.456
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.118 0.514957 0.968 0.000 0.016 0.016
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.521 0.215169 0.572 0.000 0.008 0.420
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.499 0.003359 0.468 0.000 0.000 0.532
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.234 0.773250 0.100 0.000 0.900 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.266 0.766266 0.088 0.004 0.900 0.008
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.344 0.440979 0.848 0.000 0.136 0.016
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.500 -0.017642 0.492 0.000 0.000 0.508
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.495 0.155742 0.556 0.000 0.000 0.444
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.499 0.087617 0.524 0.000 0.000 0.476
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.118 0.515362 0.968 0.000 0.016 0.016
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.471 0.316247 0.640 0.000 0.000 0.360
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.497 0.129516 0.544 0.000 0.000 0.456
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.471 0.431070 0.000 0.640 0.360 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 4 0.759 -0.297592 0.056 0.264 0.096 0.584
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.499 0.087617 0.524 0.000 0.000 0.476
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.733 0.296722 0.608 0.028 0.148 0.216
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.500 -0.000399 0.488 0.000 0.000 0.512
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.535 0.013784 0.428 0.000 0.012 0.560
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.350 0.439140 0.848 0.000 0.132 0.020
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 4 0.819 -0.407380 0.056 0.304 0.132 0.508
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.508 0.228790 0.576 0.000 0.004 0.420
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.490 0.205340 0.584 0.000 0.000 0.416
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.517 -0.052331 0.492 0.000 0.004 0.504
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.000 0.798666 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.915 -0.021773 0.312 0.108 0.168 0.412
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.500 -0.021062 0.496 0.000 0.000 0.504
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#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.516 -0.012487 0.476 0.000 0.004 0.520
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.547 0.673420 0.072 0.124 0.772 0.032
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.545 -0.011594 0.460 0.004 0.008 0.528
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.497 0.127507 0.544 0.000 0.000 0.456
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.567 0.096784 0.328 0.004 0.032 0.636
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.385 0.472419 0.800 0.000 0.008 0.192
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.500 -0.000399 0.488 0.000 0.000 0.512
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.499 -0.002500 0.472 0.000 0.000 0.528
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.268 0.479986 0.896 0.000 0.092 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.1851 0.7804 0.088 0.000 0.000 0.912 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.7119 0.4953 0.192 0.000 0.072 0.184 0.552
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.2286 0.7791 0.108 0.000 0.000 0.888 0.004
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.4805 0.5823 0.312 0.000 0.000 0.648 0.040
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4306 0.0217 0.508 0.000 0.000 0.492 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.2491 0.7789 0.068 0.000 0.000 0.896 0.036
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0404 0.7770 0.012 0.000 0.000 0.988 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1877 0.7492 0.924 0.000 0.012 0.064 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.2932 0.7519 0.032 0.000 0.000 0.864 0.104
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.8067 -0.0506 0.360 0.000 0.116 0.188 0.336
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.7298 0.3565 0.300 0.000 0.104 0.100 0.496
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4497 0.4650 0.000 0.632 0.352 0.000 0.016
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.4817 0.4016 0.404 0.000 0.000 0.572 0.024
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.1956 0.7872 0.076 0.000 0.000 0.916 0.008
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0902 0.6910 0.008 0.004 0.004 0.008 0.976
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5491 0.6429 0.724 0.000 0.092 0.064 0.120
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2177 0.7560 0.908 0.000 0.004 0.080 0.008
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.1908 0.7572 0.908 0.000 0.000 0.092 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3812 0.6721 0.816 0.000 0.136 0.016 0.032
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.4109 0.6351 0.288 0.000 0.000 0.700 0.012
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.4989 0.3765 0.416 0.000 0.000 0.552 0.032
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0579 0.6892 0.000 0.008 0.000 0.008 0.984
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.2179 0.7537 0.912 0.000 0.008 0.072 0.008
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.6845 0.1125 0.380 0.008 0.400 0.000 0.212
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.2017 0.7870 0.080 0.000 0.000 0.912 0.008
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.0703 0.7800 0.024 0.000 0.000 0.976 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.4808 0.5152 0.348 0.000 0.000 0.620 0.032
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.5367 0.4167 0.060 0.000 0.004 0.600 0.336
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2286 0.7578 0.888 0.000 0.004 0.108 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.4504 0.5700 0.000 0.168 0.084 0.000 0.748
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.4612 0.5573 0.000 0.180 0.084 0.000 0.736
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.1851 0.7855 0.088 0.000 0.000 0.912 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1557 0.6851 0.000 0.052 0.000 0.008 0.940
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.6903 0.3513 0.308 0.000 0.024 0.488 0.180
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2416 0.7603 0.888 0.000 0.000 0.100 0.012
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.6265 0.5300 0.020 0.240 0.596 0.000 0.144
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.0510 0.7783 0.016 0.000 0.000 0.984 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.2813 0.7435 0.168 0.000 0.000 0.832 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5086 0.1874 0.564 0.000 0.000 0.396 0.040
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0162 0.7735 0.004 0.000 0.000 0.996 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.4752 0.5722 0.316 0.000 0.000 0.648 0.036
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.2569 0.7739 0.068 0.000 0.000 0.892 0.040
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1544 0.7862 0.068 0.000 0.000 0.932 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.1851 0.7810 0.088 0.000 0.000 0.912 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.2932 0.7519 0.032 0.000 0.000 0.864 0.104
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4505 0.3151 0.604 0.000 0.000 0.384 0.012
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.6606 0.4239 0.556 0.000 0.032 0.276 0.136
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.2644 0.6793 0.020 0.068 0.016 0.000 0.896
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.2068 0.7580 0.904 0.000 0.000 0.092 0.004
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.4404 0.6510 0.096 0.004 0.008 0.104 0.788
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.5459 0.4732 0.600 0.000 0.000 0.316 0.084
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3070 0.6883 0.860 0.000 0.112 0.016 0.012
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.4679 0.5687 0.316 0.000 0.000 0.652 0.032
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4924 0.5320 0.668 0.000 0.000 0.272 0.060
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.4405 0.6120 0.008 0.020 0.712 0.000 0.260
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.4883 0.6817 0.200 0.000 0.000 0.708 0.092
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.7050 -0.1244 0.372 0.012 0.368 0.000 0.248
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.5551 0.0745 0.488 0.000 0.000 0.444 0.068
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.2497 0.7548 0.880 0.000 0.004 0.112 0.004
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.5236 0.5651 0.024 0.108 0.144 0.000 0.724
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.5637 0.1316 0.064 0.000 0.004 0.500 0.432
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.4470 0.4350 0.000 0.616 0.372 0.000 0.012
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.3919 0.5869 0.776 0.000 0.188 0.000 0.036
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.1410 0.7826 0.060 0.000 0.000 0.940 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.6922 -0.0928 0.396 0.012 0.384 0.000 0.208
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.3326 0.6196 0.000 0.152 0.024 0.000 0.824
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.7387 0.1045 0.312 0.000 0.032 0.400 0.256
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5937 0.4194 0.604 0.000 0.240 0.004 0.152
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.5632 0.6282 0.172 0.000 0.004 0.652 0.172
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.2193 0.7857 0.092 0.000 0.000 0.900 0.008
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0404 0.7767 0.012 0.000 0.000 0.988 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.1851 0.7816 0.088 0.000 0.000 0.912 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2439 0.7536 0.876 0.000 0.004 0.120 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.4747 0.5630 0.332 0.000 0.000 0.636 0.032
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.2569 0.7739 0.068 0.000 0.000 0.892 0.040
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.1082 0.8401 0.008 0.000 0.964 0.000 0.028
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2854 0.7177 0.880 0.000 0.084 0.028 0.008
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.2054 0.7853 0.052 0.000 0.000 0.920 0.028
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.1965 0.7780 0.096 0.000 0.000 0.904 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.1270 0.7830 0.052 0.000 0.000 0.948 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2230 0.7539 0.884 0.000 0.000 0.116 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.4760 0.3881 0.416 0.000 0.000 0.564 0.020
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.1732 0.7822 0.080 0.000 0.000 0.920 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.4497 0.4650 0.000 0.632 0.352 0.000 0.016
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0290 0.8442 0.000 0.992 0.000 0.000 0.008
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.1173 0.6928 0.000 0.012 0.004 0.020 0.964
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.1270 0.7830 0.052 0.000 0.000 0.948 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.6593 0.4808 0.608 0.000 0.092 0.084 0.216
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0162 0.7735 0.004 0.000 0.000 0.996 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.4832 0.6197 0.068 0.000 0.004 0.712 0.216
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.2960 0.7228 0.876 0.000 0.080 0.036 0.008
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.2634 0.6803 0.020 0.056 0.024 0.000 0.900
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.4654 0.5371 0.348 0.000 0.000 0.628 0.024
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.2648 0.7558 0.152 0.000 0.000 0.848 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.4748 0.7035 0.172 0.000 0.000 0.728 0.100
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 5 0.7448 0.3308 0.300 0.000 0.104 0.116 0.480
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.1341 0.7882 0.056 0.000 0.000 0.944 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.5129 0.4322 0.616 0.000 0.000 0.328 0.056
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.2068 0.7580 0.904 0.000 0.000 0.092 0.004
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.3141 0.7657 0.108 0.000 0.000 0.852 0.040
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.3715 0.6149 0.736 0.000 0.004 0.260 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.2818 0.7492 0.856 0.000 0.000 0.132 0.012
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.2494 0.7453 0.904 0.000 0.032 0.056 0.008
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.2569 0.7769 0.068 0.000 0.000 0.892 0.040
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.4766 0.6342 0.764 0.000 0.140 0.032 0.064
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.0794 0.7807 0.028 0.000 0.000 0.972 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.5828 0.4486 0.116 0.000 0.004 0.284 0.596
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.4565 0.5907 0.308 0.000 0.000 0.664 0.028
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.2286 0.7546 0.888 0.000 0.004 0.108 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.0963 0.7845 0.036 0.000 0.000 0.964 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.4570 0.4675 0.000 0.632 0.348 0.000 0.020
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0798 0.7798 0.016 0.000 0.000 0.976 0.008
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.8484 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.2982 0.6565 0.004 0.116 0.020 0.000 0.860
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.2605 0.7350 0.896 0.000 0.056 0.044 0.004
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.5247 0.4471 0.620 0.000 0.004 0.320 0.056
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 4 0.4420 0.1797 0.448 0.000 0.000 0.548 0.004
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.5429 0.5951 0.108 0.000 0.004 0.660 0.228
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.6247 0.3815 0.536 0.000 0.004 0.308 0.152
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.2067 0.7412 0.920 0.000 0.032 0.048 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 5 0.0771 0.6922 0.000 0.004 0.000 0.020 0.976
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.0290 0.8479 0.008 0.000 0.992 0.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.2517 0.7591 0.884 0.000 0.004 0.104 0.008
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#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2569 0.7763 0.068 0.000 0.000 0.892 0.040
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2747 0.7427 0.888 0.000 0.048 0.060 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.1411 0.75845 0.060 0.000 0.000 0.936 0.000 NA
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.7488 0.47056 0.132 0.000 0.064 0.156 0.516 NA
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.1918 0.75549 0.088 0.000 0.000 0.904 0.000 NA
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.5311 0.55258 0.292 0.000 0.000 0.608 0.028 NA
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.4185 -0.02056 0.492 0.000 0.000 0.496 0.000 NA
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.3811 0.72703 0.036 0.000 0.000 0.796 0.032 NA
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0547 0.75261 0.000 0.000 0.000 0.980 0.000 NA
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1624 0.73087 0.936 0.000 0.004 0.040 0.000 NA
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.4117 0.67478 0.004 0.000 0.000 0.756 0.096 NA
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.8546 -0.10804 0.284 0.000 0.084 0.148 0.272 NA
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.7805 0.35824 0.232 0.000 0.080 0.092 0.452 NA
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.6086 0.27212 0.000 0.444 0.344 0.000 0.008 NA
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.4922 0.38025 0.400 0.000 0.000 0.548 0.016 NA
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.2407 0.76786 0.056 0.000 0.000 0.892 0.004 NA
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0837 0.65877 0.000 0.000 0.004 0.004 0.972 NA
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5642 0.63010 0.692 0.000 0.052 0.036 0.092 NA
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1461 0.73534 0.940 0.000 0.000 0.044 0.000 NA
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.1524 0.73367 0.932 0.000 0.000 0.060 0.000 NA
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4037 0.67142 0.792 0.000 0.100 0.004 0.020 NA
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.3788 0.61899 0.280 0.000 0.000 0.704 0.004 NA
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.5133 0.34287 0.412 0.000 0.000 0.524 0.020 NA
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0363 0.65708 0.000 0.000 0.000 0.000 0.988 NA
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1933 0.73419 0.920 0.000 0.004 0.044 0.000 NA
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.7357 0.00371 0.348 0.000 0.332 0.000 0.144 NA
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.2189 0.76754 0.060 0.000 0.000 0.904 0.004 NA
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.0622 0.75657 0.008 0.000 0.000 0.980 0.000 NA
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.4925 0.48994 0.344 0.000 0.000 0.596 0.020 NA
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.5911 0.14760 0.000 0.000 0.000 0.456 0.316 NA
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1745 0.73674 0.920 0.000 0.000 0.068 0.000 NA
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.5217 0.53837 0.000 0.128 0.084 0.000 0.700 NA
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.5281 0.53053 0.000 0.140 0.084 0.000 0.692 NA
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2309 0.76289 0.084 0.000 0.000 0.888 0.000 NA
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1492 0.65053 0.000 0.024 0.000 0.000 0.940 NA
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.7496 0.32895 0.252 0.000 0.020 0.440 0.160 NA
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2322 0.74006 0.896 0.000 0.000 0.072 0.008 NA
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.6003 0.47404 0.008 0.044 0.552 0.000 0.084 NA
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.0692 0.75447 0.004 0.000 0.000 0.976 0.000 NA
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.2340 0.72464 0.148 0.000 0.000 0.852 0.000 NA
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5237 0.22795 0.564 0.000 0.000 0.360 0.032 NA
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0713 0.75122 0.000 0.000 0.000 0.972 0.000 NA
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.4933 0.55213 0.308 0.000 0.000 0.624 0.024 NA
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3813 0.70437 0.016 0.000 0.000 0.768 0.028 NA
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.1984 0.76461 0.056 0.000 0.000 0.912 0.000 NA
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.1411 0.75888 0.060 0.000 0.000 0.936 0.000 NA
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.4117 0.67478 0.004 0.000 0.000 0.756 0.096 NA
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4799 0.28367 0.580 0.000 0.000 0.368 0.008 NA
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.7272 0.41139 0.484 0.000 0.020 0.208 0.104 NA
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.3373 0.63972 0.004 0.040 0.024 0.004 0.848 NA
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1625 0.73664 0.928 0.000 0.000 0.060 0.000 NA
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.4652 0.63336 0.044 0.004 0.008 0.072 0.764 NA
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.6026 0.46577 0.572 0.000 0.004 0.272 0.052 NA
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3070 0.69130 0.852 0.000 0.084 0.004 0.004 NA
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.4670 0.54580 0.308 0.000 0.000 0.640 0.020 NA
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4870 0.53953 0.676 0.000 0.000 0.240 0.048 NA
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.4518 0.44290 0.000 0.004 0.696 0.000 0.220 NA
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.5536 0.64852 0.184 0.000 0.000 0.656 0.076 NA
#> E8473ED9-6800-426B-977F-E928065BE475 1 0.7533 0.02329 0.336 0.000 0.296 0.000 0.180 NA
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.6120 0.08817 0.464 0.000 0.000 0.392 0.052 NA
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0291 0.84401 0.000 0.992 0.000 0.000 0.004 NA
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.2095 0.73632 0.904 0.000 0.004 0.076 0.000 NA
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.5901 0.50515 0.004 0.076 0.152 0.004 0.648 NA
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.5992 0.13227 0.000 0.000 0.000 0.372 0.396 NA
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.6149 0.24253 0.000 0.436 0.332 0.000 0.008 NA
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.4343 0.60480 0.748 0.000 0.160 0.000 0.020 NA
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.1082 0.76068 0.040 0.000 0.000 0.956 0.000 NA
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 1 0.7307 0.07140 0.368 0.000 0.324 0.000 0.152 NA
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.4216 0.58546 0.000 0.108 0.032 0.000 0.776 NA
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.8092 0.08930 0.236 0.000 0.028 0.336 0.216 NA
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.6382 0.47452 0.572 0.000 0.176 0.000 0.104 NA
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.6657 0.51550 0.120 0.000 0.000 0.536 0.156 NA
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.2209 0.76599 0.072 0.000 0.000 0.900 0.004 NA
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0972 0.75526 0.008 0.000 0.000 0.964 0.000 NA
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.1411 0.75992 0.060 0.000 0.000 0.936 0.000 NA
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1967 0.73201 0.904 0.000 0.000 0.084 0.000 NA
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.5180 0.53519 0.316 0.000 0.000 0.596 0.016 NA
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.3813 0.70437 0.016 0.000 0.000 0.768 0.028 NA
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.1075 0.68307 0.000 0.000 0.952 0.000 0.000 NA
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2407 0.70935 0.892 0.000 0.056 0.004 0.000 NA
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.2032 0.76512 0.036 0.000 0.000 0.920 0.020 NA
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.1531 0.75599 0.068 0.000 0.000 0.928 0.000 NA
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.0935 0.76140 0.032 0.000 0.000 0.964 0.000 NA
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.1866 0.73395 0.908 0.000 0.000 0.084 0.000 NA
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.4672 0.36002 0.416 0.000 0.000 0.548 0.012 NA
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.1204 0.76003 0.056 0.000 0.000 0.944 0.000 NA
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.6086 0.27212 0.000 0.444 0.344 0.000 0.008 NA
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0717 0.83722 0.000 0.976 0.000 0.000 0.016 NA
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.1080 0.65944 0.000 0.004 0.000 0.004 0.960 NA
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.0935 0.76140 0.032 0.000 0.000 0.964 0.000 NA
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.7151 0.46502 0.536 0.000 0.060 0.064 0.176 NA
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0713 0.75122 0.000 0.000 0.000 0.972 0.000 NA
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.5515 0.43221 0.000 0.000 0.000 0.556 0.184 NA
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.2471 0.70920 0.888 0.000 0.052 0.004 0.000 NA
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.3528 0.63831 0.008 0.040 0.032 0.004 0.844 NA
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.4773 0.52129 0.340 0.000 0.000 0.608 0.016 NA
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.2302 0.73632 0.120 0.000 0.000 0.872 0.000 NA
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.5713 0.66138 0.140 0.000 0.000 0.648 0.076 NA
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> A42D2A3B-C397-4904-98B2-E2537C00C156 5 0.7931 0.33709 0.232 0.000 0.080 0.104 0.436 NA
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.1594 0.76826 0.052 0.000 0.000 0.932 0.000 NA
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.5497 0.42485 0.592 0.000 0.000 0.300 0.044 NA
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0291 0.84401 0.000 0.992 0.000 0.000 0.004 NA
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0291 0.84401 0.000 0.992 0.000 0.000 0.004 NA
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.1719 0.73702 0.924 0.000 0.000 0.060 0.000 NA
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.4462 0.71149 0.072 0.000 0.000 0.744 0.028 NA
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.3298 0.59631 0.756 0.000 0.000 0.236 0.000 NA
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.2652 0.73479 0.868 0.000 0.000 0.104 0.008 NA
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.1974 0.72810 0.920 0.000 0.012 0.020 0.000 NA
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.3855 0.72111 0.032 0.000 0.000 0.788 0.032 NA
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.5429 0.63433 0.704 0.000 0.132 0.032 0.040 NA
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.0725 0.75780 0.012 0.000 0.000 0.976 0.000 NA
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.6090 0.52048 0.048 0.000 0.000 0.176 0.576 NA
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.4521 0.55380 0.308 0.000 0.000 0.648 0.016 NA
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1644 0.73174 0.920 0.000 0.000 0.076 0.000 NA
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.1168 0.76520 0.028 0.000 0.000 0.956 0.000 NA
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.6182 0.26908 0.000 0.440 0.340 0.000 0.012 NA
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0508 0.75555 0.000 0.000 0.000 0.984 0.004 NA
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.3730 0.61521 0.000 0.076 0.024 0.000 0.812 NA
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.2172 0.72511 0.912 0.000 0.044 0.020 0.000 NA
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.5530 0.44836 0.600 0.000 0.000 0.284 0.044 NA
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 4 0.4444 0.18489 0.436 0.000 0.000 0.536 0.000 NA
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.6366 0.42177 0.048 0.000 0.000 0.528 0.208 NA
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 1 0.7225 0.39104 0.436 0.000 0.004 0.204 0.108 NA
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.1528 0.72366 0.944 0.000 0.016 0.012 0.000 NA
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 5 0.0935 0.65914 0.000 0.000 0.000 0.004 0.964 NA
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.3390 0.75575 0.000 0.000 0.704 0.000 0.000 NA
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.2221 0.73851 0.896 0.000 0.000 0.072 0.000 NA
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 5 0.6020 0.19678 0.000 0.000 0.000 0.344 0.408 NA
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.84497 0.000 1.000 0.000 0.000 0.000 NA
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 4 0.1897 0.76106 0.084 0.000 0.000 0.908 0.004 NA
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#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.5756 0.55211 0.040 0.000 0.000 0.616 0.156 NA
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.1918 0.75549 0.088 0.000 0.000 0.904 0.000 NA
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.5975 0.14499 0.000 0.000 0.000 0.444 0.300 NA
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3922 0.41752 0.664 0.000 0.000 0.320 0.000 NA
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0692 0.75444 0.004 0.000 0.000 0.976 0.000 NA
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3892 0.71503 0.028 0.000 0.000 0.780 0.032 NA
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2274 0.72717 0.908 0.000 0.028 0.028 0.000 NA
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.987 0.4110 0.588 0.588
#> 3 3 0.618 0.751 0.885 0.4377 0.753 0.607
#> 4 4 0.613 0.693 0.833 0.1555 0.778 0.545
#> 5 5 0.865 0.849 0.926 0.1157 0.816 0.511
#> 6 6 0.822 0.821 0.901 0.0628 0.886 0.577
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.992 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.1843 0.964 0.972 0.028
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.992 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.992 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.0000 0.974 0.000 1.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.992 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.992 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.992 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.992 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.992 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.3733 0.916 0.928 0.072
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.9686 0.323 0.604 0.396
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.0000 0.974 0.000 1.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.974 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.992 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.992 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.0000 0.974 0.000 1.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.0000 0.974 0.000 1.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.974 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.992 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.992 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.992 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.992 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.992 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.992 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.974 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.2948 0.929 0.052 0.948
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.992 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.0000 0.974 0.000 1.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.992 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.992 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.992 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.992 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.992 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.974 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.974 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.0000 0.974 0.000 1.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.992 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.974 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.992 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.974 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.992 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.974 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.974 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.992 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.992 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.992 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.992 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.992 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.992 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.992 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.974 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.992 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.992 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.992 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.0000 0.992 1.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.974 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.992 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.0376 0.988 0.996 0.004
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.992 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.992 1.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.974 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.992 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.992 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.0000 0.974 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.992 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.974 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.992 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.974 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.992 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.974 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.0000 0.992 1.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.974 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 2 0.0000 0.974 0.000 1.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.992 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.974 0.000 1.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.974 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.992 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.0000 0.992 1.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.974 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.992 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.992 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.992 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.992 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.992 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.0000 0.974 0.000 1.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.992 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.992 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.0000 0.974 0.000 1.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.0672 0.968 0.008 0.992
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.5629 0.844 0.132 0.868
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.992 1.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.992 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.992 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.992 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.992 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.992 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.992 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.974 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.974 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.974 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.974 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.992 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.0000 0.992 1.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.992 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0000 0.992 1.000 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0000 0.992 1.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.974 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.992 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.992 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.992 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.974 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0000 0.992 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.992 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.992 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.974 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.974 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.992 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.992 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.992 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.992 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.992 1.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.992 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.0000 0.992 1.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.992 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.0000 0.992 1.000 0.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.992 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.974 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.992 1.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.992 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.974 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.992 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.974 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.974 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.992 1.000 0.000
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#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.992 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.992 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.992 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.0000 0.974 0.000 1.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.0000 0.974 0.000 1.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.0000 0.992 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.2423 0.940 0.040 0.960
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.992 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.992 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.992 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.0000 0.974 0.000 1.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.0376 0.988 0.996 0.004
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.992 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.992 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.0000 0.974 0.000 1.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.992 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.992 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.992 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.992 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.992 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.974 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.992 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.992 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.992 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.992 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.992 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.992 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.992 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.992 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.974 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.992 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.0000 0.992 1.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.974 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.992 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.992 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.992 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.992 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.992 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.974 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.992 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.974 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.992 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.992 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.992 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.992 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.0376 0.988 0.996 0.004
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.0000 0.974 0.000 1.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.992 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.6531 0.799 0.168 0.832
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.992 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.974 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.992 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.992 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.992 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.992 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.974 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.992 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.992 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.992 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.992 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.974 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.974 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.2043 0.947 0.032 0.968
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.992 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.992 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.992 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.992 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.992 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.992 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.992 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.992 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.992 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.992 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.992 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.992 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.992 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.974 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.992 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.0000 0.974 0.000 1.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.992 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.974 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.992 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.992 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.992 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.992 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.2603 0.947 0.956 0.044
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.992 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.992 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.974 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.974 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.992 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.992 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.992 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.992 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.992 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.992 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.992 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.992 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.992 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.992 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.992 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.974 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.992 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.992 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.974 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 2 0.9922 0.216 0.448 0.552
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.992 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.9933 0.200 0.452 0.548
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.8499 0.631 0.276 0.724
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.974 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.992 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.992 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.992 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.992 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.974 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.992 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.992 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.992 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.992 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.992 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.992 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.992 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.88134 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.6676 0.20879 0.516 0.008 0.476
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.88134 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0892 0.87815 0.980 0.000 0.020
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3116 0.78158 0.000 0.108 0.892
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.88134 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1031 0.87702 0.976 0.000 0.024
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.88134 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 3 0.5733 0.60995 0.324 0.000 0.676
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1411 0.87231 0.964 0.000 0.036
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.5461 0.54587 0.244 0.008 0.748
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.6275 0.32558 0.348 0.008 0.644
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.3116 0.78158 0.000 0.108 0.892
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0424 0.90629 0.000 0.992 0.008
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.88134 1.000 0.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1031 0.87702 0.976 0.000 0.024
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.3116 0.78158 0.000 0.108 0.892
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.3116 0.78158 0.000 0.108 0.892
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.4750 0.79617 0.000 0.784 0.216
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.1643 0.78720 0.044 0.000 0.956
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.5785 0.59646 0.332 0.000 0.668
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.6299 0.25593 0.476 0.000 0.524
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.2625 0.79482 0.084 0.000 0.916
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.88134 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.88134 1.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.3116 0.84914 0.000 0.892 0.108
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.3116 0.78158 0.000 0.108 0.892
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.5706 0.61633 0.320 0.000 0.680
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.3038 0.78208 0.000 0.104 0.896
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0892 0.87815 0.980 0.000 0.020
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.88134 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1411 0.87231 0.964 0.000 0.036
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.3532 0.82459 0.884 0.008 0.108
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.6295 -0.08654 0.528 0.000 0.472
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0592 0.90523 0.000 0.988 0.012
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0424 0.90629 0.000 0.992 0.008
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.3116 0.78158 0.000 0.108 0.892
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.88134 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.3038 0.85206 0.000 0.896 0.104
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3607 0.82173 0.880 0.008 0.112
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0424 0.90629 0.000 0.992 0.008
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.5926 0.55696 0.356 0.000 0.644
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4346 0.70228 0.000 0.184 0.816
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0424 0.90629 0.000 0.992 0.008
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.88134 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.88134 1.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5905 0.32401 0.648 0.000 0.352
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.1031 0.87702 0.976 0.000 0.024
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.88134 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.3532 0.82459 0.884 0.008 0.108
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.88134 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0424 0.90629 0.000 0.992 0.008
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.88134 1.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.3532 0.82459 0.884 0.008 0.108
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.88134 1.000 0.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.5948 0.49601 0.640 0.000 0.360
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4750 0.79617 0.000 0.784 0.216
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 3 0.6260 0.34414 0.448 0.000 0.552
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.6252 0.51610 0.648 0.008 0.344
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.88134 1.000 0.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.3267 0.78999 0.116 0.000 0.884
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0424 0.90629 0.000 0.992 0.008
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#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.3267 0.78999 0.116 0.000 0.884
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.88134 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.88134 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.6229 0.52301 0.652 0.008 0.340
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.88134 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0892 0.87815 0.980 0.000 0.020
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.3038 0.85206 0.000 0.896 0.104
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.4452 0.81395 0.000 0.808 0.192
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.1031 0.87702 0.976 0.000 0.024
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0892 0.87815 0.980 0.000 0.020
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.88134 1.000 0.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.6291 -0.07180 0.532 0.000 0.468
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.88134 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.88134 1.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0892 0.87815 0.980 0.000 0.020
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.88134 1.000 0.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0237 0.88081 0.996 0.000 0.004
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.3192 0.79121 0.112 0.000 0.888
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.6291 -0.07180 0.532 0.000 0.468
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.5016 0.64192 0.000 0.760 0.240
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.3267 0.78999 0.116 0.000 0.884
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.4062 0.76784 0.164 0.000 0.836
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.2959 0.85451 0.000 0.900 0.100
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.1129 0.77949 0.020 0.004 0.976
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.2878 0.79445 0.096 0.000 0.904
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.9811 0.14323 0.376 0.384 0.240
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.7651 0.66087 0.108 0.672 0.220
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0424 0.90629 0.000 0.992 0.008
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.88134 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.3532 0.82459 0.884 0.008 0.108
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.6154 0.44694 0.408 0.000 0.592
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2866 0.84545 0.916 0.008 0.076
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.3116 0.78158 0.000 0.108 0.892
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.3532 0.82459 0.884 0.008 0.108
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.88134 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.3532 0.82459 0.884 0.008 0.108
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.88134 1.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.88134 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.3532 0.82459 0.884 0.008 0.108
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.5733 0.60995 0.324 0.000 0.676
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.6531 0.67191 0.160 0.000 0.204 0.636
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1211 0.80926 0.960 0.000 0.000 0.040
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.2589 0.79101 0.884 0.000 0.000 0.116
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1302 0.80817 0.956 0.000 0.000 0.044
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0707 0.81244 0.980 0.000 0.000 0.020
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 3 0.7820 0.09723 0.360 0.000 0.384 0.256
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.2751 0.71746 0.040 0.000 0.056 0.904
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.3601 0.73739 0.084 0.000 0.056 0.860
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.4391 0.70945 0.740 0.000 0.008 0.252
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 4 0.5374 0.60104 0.000 0.244 0.052 0.704
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.5543 -0.09859 0.028 0.000 0.360 0.612
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.7811 -0.04379 0.380 0.000 0.368 0.252
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.7500 0.34928 0.500 0.000 0.252 0.248
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.4134 0.70734 0.000 0.000 0.740 0.260
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.3583 0.75743 0.816 0.000 0.004 0.180
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 4 0.5143 0.59400 0.000 0.256 0.036 0.708
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.79065 0.000 0.000 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.7822 0.08249 0.364 0.000 0.380 0.256
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1118 0.80611 0.964 0.000 0.000 0.036
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0707 0.81244 0.980 0.000 0.000 0.020
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1940 0.80435 0.924 0.000 0.000 0.076
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.4103 0.70649 0.256 0.000 0.000 0.744
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.7122 0.47937 0.560 0.000 0.192 0.248
#> 141CECEC-2118-4805-9DD0-67F13620674D 4 0.5985 0.44961 0.000 0.352 0.052 0.596
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.2216 0.79164 0.908 0.000 0.000 0.092
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 4 0.5200 0.58454 0.000 0.264 0.036 0.700
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.4222 0.67227 0.272 0.000 0.000 0.728
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.7283 0.43897 0.536 0.000 0.208 0.256
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0592 0.81361 0.984 0.000 0.000 0.016
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0188 0.81592 0.996 0.000 0.000 0.004
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.5744 0.64911 0.676 0.000 0.068 0.256
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.2281 0.79647 0.904 0.000 0.000 0.096
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.5000 -0.28364 0.500 0.000 0.000 0.500
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0469 0.81458 0.988 0.000 0.000 0.012
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.4985 -0.19010 0.532 0.000 0.000 0.468
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.4422 0.70759 0.736 0.000 0.008 0.256
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0804 0.65377 0.012 0.000 0.008 0.980
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 4 0.5312 0.60965 0.000 0.236 0.052 0.712
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.7168 0.47070 0.552 0.000 0.192 0.256
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.4578 0.74664 0.160 0.000 0.052 0.788
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.4452 0.70924 0.732 0.000 0.008 0.260
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.4072 0.71177 0.000 0.000 0.748 0.252
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0336 0.81531 0.992 0.000 0.000 0.008
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.7820 -0.02141 0.384 0.000 0.360 0.256
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.1867 0.78133 0.928 0.000 0.000 0.072
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.0817 0.78219 0.000 0.000 0.976 0.024
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.2216 0.79699 0.908 0.000 0.000 0.092
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.7256 0.44733 0.540 0.000 0.204 0.256
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 4 0.7227 0.46968 0.000 0.200 0.256 0.544
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 4 0.4008 0.71492 0.244 0.000 0.000 0.756
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.3907 0.68646 0.000 0.768 0.232 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0000 0.79065 0.000 0.000 1.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0469 0.81458 0.988 0.000 0.000 0.012
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 4 0.5374 0.60104 0.000 0.244 0.052 0.704
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.1978 0.71584 0.068 0.000 0.004 0.928
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.3942 0.71839 0.000 0.000 0.764 0.236
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.3400 0.73979 0.180 0.000 0.000 0.820
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0469 0.81458 0.988 0.000 0.000 0.012
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0707 0.81244 0.980 0.000 0.000 0.020
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.7122 0.47937 0.560 0.000 0.192 0.248
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.2714 0.79035 0.884 0.000 0.004 0.112
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0336 0.79132 0.000 0.000 0.992 0.008
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.79065 0.000 0.000 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0000 0.79065 0.000 0.000 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 3 0.4103 0.70946 0.000 0.000 0.744 0.256
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1118 0.80611 0.964 0.000 0.000 0.036
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.7122 0.47937 0.560 0.000 0.192 0.248
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0188 0.81578 0.996 0.000 0.000 0.004
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0469 0.81458 0.988 0.000 0.000 0.012
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 4 0.5247 0.61757 0.000 0.228 0.052 0.720
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.81615 1.000 0.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.1743 0.68597 0.004 0.000 0.056 0.940
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0921 0.80951 0.972 0.000 0.000 0.028
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.4103 0.70649 0.256 0.000 0.000 0.744
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 3 0.4776 0.69025 0.016 0.000 0.712 0.272
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 4 0.5374 0.60104 0.000 0.244 0.052 0.704
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.1389 0.80880 0.952 0.000 0.000 0.048
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0469 0.81525 0.988 0.000 0.000 0.012
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.1211 0.80411 0.960 0.000 0.000 0.040
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.1624 0.68210 0.020 0.000 0.028 0.952
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0336 0.81531 0.992 0.000 0.000 0.008
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.4391 0.70945 0.740 0.000 0.008 0.252
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.94758 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 3 0.7823 0.05196 0.372 0.000 0.372 0.256
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.3610 0.73124 0.200 0.000 0.000 0.800
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.4360 0.71098 0.744 0.000 0.008 0.248
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.4360 0.71098 0.744 0.000 0.008 0.248
#> 25F57C6E-E445-4321-95F3-E14E1016459A 3 0.7733 0.26692 0.304 0.000 0.440 0.256
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.1716 0.78829 0.936 0.000 0.000 0.064
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#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.4804 0.56866 0.384 0.000 0.000 0.616
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.7803 0.13255 0.352 0.000 0.396 0.252
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3656 0.7173 0.020 0.000 0.196 0.000 0.784
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.3628 0.7204 0.216 0.000 0.000 0.772 0.012
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.0865 0.9009 0.024 0.000 0.000 0.972 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0290 0.9774 0.000 0.992 0.008 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.0609 0.9058 0.020 0.000 0.000 0.980 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0566 0.9011 0.984 0.000 0.000 0.012 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4390 0.2433 0.568 0.000 0.000 0.428 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0451 0.8780 0.000 0.004 0.008 0.000 0.988
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.3462 0.7412 0.196 0.000 0.000 0.792 0.012
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.2423 0.8336 0.024 0.000 0.000 0.080 0.896
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.0693 0.8753 0.000 0.008 0.012 0.000 0.980
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.1195 0.9567 0.000 0.960 0.012 0.000 0.028
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2471 0.8148 0.136 0.000 0.000 0.864 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.4268 0.6417 0.268 0.000 0.000 0.024 0.708
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.0880 0.9173 0.000 0.000 0.968 0.000 0.032
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0579 0.9055 0.984 0.000 0.000 0.008 0.008
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.4047 0.5417 0.320 0.000 0.000 0.676 0.004
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3602 0.7130 0.024 0.000 0.000 0.796 0.180
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.1211 0.8940 0.024 0.000 0.000 0.960 0.016
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0807 0.9013 0.976 0.000 0.000 0.012 0.012
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 5 0.4659 0.1004 0.488 0.000 0.000 0.012 0.500
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.0404 0.8810 0.012 0.000 0.000 0.000 0.988
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0912 0.8984 0.972 0.000 0.000 0.016 0.012
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0324 0.9060 0.992 0.000 0.000 0.004 0.004
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0000 0.9392 0.000 0.000 1.000 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.1012 0.9017 0.020 0.000 0.000 0.968 0.012
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.1831 0.8829 0.004 0.000 0.920 0.000 0.076
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.5113 0.4984 0.324 0.000 0.000 0.620 0.056
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.3612 0.6126 0.000 0.000 0.268 0.000 0.732
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.1106 0.8779 0.024 0.000 0.000 0.012 0.964
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.3932 0.5144 0.000 0.328 0.672 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0162 0.9416 0.004 0.000 0.996 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.2130 0.8441 0.080 0.000 0.000 0.012 0.908
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.1430 0.8907 0.944 0.000 0.052 0.000 0.004
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.1469 0.8731 0.036 0.000 0.000 0.016 0.948
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.4557 0.3547 0.404 0.000 0.000 0.584 0.012
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.0865 0.9009 0.024 0.000 0.000 0.972 0.004
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.0880 0.8794 0.032 0.000 0.000 0.000 0.968
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.4841 0.2924 0.024 0.000 0.000 0.416 0.560
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.3983 0.5093 0.340 0.000 0.000 0.660 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.0798 0.9044 0.016 0.000 0.000 0.976 0.008
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 5 0.4387 0.5008 0.348 0.000 0.000 0.012 0.640
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.4657 0.7164 0.152 0.000 0.000 0.108 0.740
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.1106 0.8962 0.024 0.000 0.000 0.964 0.012
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.1041 0.9010 0.964 0.000 0.032 0.000 0.004
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.1522 0.8691 0.044 0.000 0.000 0.012 0.944
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0609 0.9701 0.000 0.980 0.020 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.0807 0.9013 0.976 0.000 0.000 0.012 0.012
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.3336 0.7118 0.772 0.000 0.000 0.228 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 5 0.3906 0.7700 0.084 0.000 0.000 0.112 0.804
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 5 0.0162 0.8796 0.000 0.000 0.004 0.000 0.996
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.1168 0.9133 0.960 0.000 0.000 0.032 0.008
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 5 0.1965 0.8544 0.024 0.000 0.000 0.052 0.924
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> B523A296-8146-456A-9942-7147A1882B01 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 5 0.1195 0.8761 0.028 0.000 0.000 0.012 0.960
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#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 3 0.3491 0.7053 0.004 0.000 0.768 0.000 0.228
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.3336 0.7118 0.772 0.000 0.000 0.228 0.000
#> F285EF28-075D-4732-8F70-697D7AD745F3 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 4 0.3424 0.6880 0.240 0.000 0.000 0.760 0.000
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 1 0.0579 0.9024 0.984 0.000 0.000 0.008 0.008
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.0451 0.9381 0.004 0.000 0.988 0.000 0.008
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 5 0.0865 0.8809 0.024 0.000 0.004 0.000 0.972
#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.0290 0.9434 0.008 0.000 0.992 0.000 0.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 4 0.4969 0.5636 0.292 0.000 0.000 0.652 0.056
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.0451 0.9357 0.000 0.004 0.988 0.000 0.008
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 5 0.0324 0.8788 0.000 0.004 0.004 0.000 0.992
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.2248 0.9058 0.000 0.900 0.012 0.000 0.088
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 5 0.0451 0.8780 0.000 0.004 0.008 0.000 0.988
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.0566 0.8808 0.012 0.000 0.004 0.000 0.984
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0880 0.9129 0.968 0.000 0.000 0.032 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.3391 0.7179 0.800 0.000 0.000 0.012 0.188
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0912 0.8957 0.972 0.000 0.000 0.012 0.016
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0290 0.9434 0.008 0.000 0.992 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 5 0.3081 0.7333 0.156 0.000 0.012 0.000 0.832
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.1106 0.8962 0.024 0.000 0.000 0.964 0.012
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.0162 0.9416 0.004 0.000 0.996 0.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.0798 0.9044 0.016 0.000 0.000 0.976 0.008
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.0162 0.9416 0.004 0.000 0.996 0.000 0.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0566 0.9011 0.984 0.000 0.000 0.012 0.004
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 5 0.4882 0.2122 0.024 0.000 0.000 0.444 0.532
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.1106 0.8962 0.024 0.000 0.000 0.964 0.012
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.1386 0.8747 0.032 0.000 0.000 0.016 0.952
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0771 0.9157 0.976 0.000 0.000 0.020 0.004
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.3336 0.7118 0.772 0.000 0.000 0.228 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.0451 0.9381 0.004 0.000 0.988 0.000 0.008
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0912 0.8984 0.972 0.000 0.000 0.016 0.012
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.1211 0.8764 0.024 0.000 0.000 0.016 0.960
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.2189 0.9094 0.000 0.904 0.012 0.000 0.084
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.3876 0.5534 0.684 0.000 0.000 0.316 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.1012 0.8968 0.968 0.000 0.012 0.000 0.020
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.1942 0.9241 0.000 0.920 0.012 0.000 0.068
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0671 0.9062 0.016 0.000 0.000 0.980 0.004
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.5673 0.5051 0.112 0.000 0.000 0.292 0.596
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.3790 0.6141 0.724 0.000 0.272 0.000 0.004
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.0703 0.8805 0.024 0.000 0.000 0.000 0.976
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.0324 0.8788 0.000 0.004 0.004 0.000 0.992
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.1243 0.9050 0.960 0.000 0.028 0.008 0.004
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.3530 0.6882 0.000 0.204 0.012 0.000 0.784
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.1851 0.8666 0.088 0.000 0.000 0.912 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0451 0.9073 0.988 0.000 0.000 0.004 0.008
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.0703 0.9030 0.024 0.000 0.000 0.976 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0912 0.9080 0.972 0.000 0.000 0.016 0.012
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.2605 0.7988 0.000 0.000 0.852 0.000 0.148
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 5 0.3496 0.6924 0.000 0.200 0.012 0.000 0.788
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 5 0.3707 0.5988 0.000 0.000 0.284 0.000 0.716
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.3336 0.7118 0.772 0.000 0.000 0.228 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 4 0.1997 0.8738 0.036 0.000 0.000 0.924 0.040
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0955 0.9155 0.968 0.000 0.000 0.028 0.004
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 4 0.0912 0.9021 0.016 0.000 0.000 0.972 0.012
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.2127 0.8417 0.108 0.000 0.000 0.892 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.4165 0.5135 0.000 0.320 0.672 0.000 0.008
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0404 0.9447 0.012 0.000 0.988 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.4761 0.4447 0.028 0.000 0.000 0.356 0.616
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.0404 0.8776 0.000 0.000 0.012 0.000 0.988
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0898 0.9140 0.972 0.000 0.000 0.020 0.008
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.1124 0.8999 0.960 0.000 0.036 0.000 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.1671 0.8765 0.076 0.000 0.000 0.924 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0451 0.8805 0.008 0.000 0.004 0.000 0.988
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0566 0.8768 0.000 0.004 0.012 0.000 0.984
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.0000 0.9164 0.000 0.000 0.000 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.0290 0.9191 0.008 0.000 0.000 0.992 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.3796 0.5862 0.700 0.000 0.000 0.300 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4306 0.0948 0.508 0.000 0.000 0.492 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.3491 0.6983 0.228 0.000 0.000 0.768 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3336 0.7118 0.772 0.000 0.000 0.228 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.0451 0.9184 0.008 0.000 0.000 0.988 0.004
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0566 0.9023 0.984 0.000 0.012 0.000 0.004
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0451 0.9357 0.000 0.004 0.988 0.000 0.008
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0324 0.9064 0.992 0.000 0.004 0.000 0.004
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0451 0.9048 0.988 0.000 0.000 0.004 0.008
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.3039 0.7521 0.000 0.152 0.012 0.000 0.836
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.4066 0.5158 0.672 0.000 0.324 0.000 0.004
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0451 0.9046 0.988 0.000 0.008 0.000 0.004
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.0162 0.8796 0.000 0.000 0.004 0.000 0.996
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.0324 0.8788 0.000 0.004 0.004 0.000 0.992
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9824 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.5024 0.1033 0.032 0.000 0.000 0.528 0.440
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0865 0.9161 0.972 0.000 0.000 0.024 0.004
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.1106 0.8962 0.024 0.000 0.000 0.964 0.012
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0162 0.9416 0.004 0.000 0.996 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.4976 0.1101 0.028 0.000 0.000 0.468 0.504
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.0510 0.9197 0.016 0.000 0.000 0.984 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.1211 0.8764 0.024 0.000 0.000 0.016 0.960
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0963 0.9109 0.964 0.000 0.000 0.036 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0404 0.9200 0.012 0.000 0.000 0.988 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3639 0.7070 0.024 0.000 0.000 0.792 0.184
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0703 0.9159 0.976 0.000 0.000 0.024 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0000 0.9240 0.000 0.000 0.000 1.000 0.000 0.000
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#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0508 0.9165 0.984 0.000 0.000 0.000 0.004 0.012
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.1910 0.8577 0.000 0.000 0.000 0.000 0.892 0.108
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.1387 0.8722 0.000 0.000 0.000 0.000 0.932 0.068
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9925 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.0000 0.9240 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 6 0.1088 0.7915 0.000 0.000 0.000 0.024 0.016 0.960
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9175 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 6 0.2135 0.7958 0.000 0.000 0.000 0.128 0.000 0.872
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0146 0.9469 0.000 0.000 0.996 0.000 0.004 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 6 0.1074 0.7930 0.000 0.000 0.000 0.028 0.012 0.960
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.0520 0.9154 0.008 0.000 0.000 0.984 0.000 0.008
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 6 0.1327 0.7704 0.000 0.000 0.000 0.000 0.064 0.936
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2446 0.8109 0.864 0.000 0.000 0.124 0.000 0.012
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0000 0.9240 0.000 0.000 0.000 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 6 0.1531 0.7991 0.000 0.000 0.000 0.068 0.004 0.928
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0260 0.9176 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["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.966 0.986 0.4844 0.515 0.515
#> 3 3 0.846 0.913 0.958 0.3190 0.770 0.582
#> 4 4 0.891 0.887 0.950 0.1358 0.854 0.623
#> 5 5 0.872 0.851 0.938 0.0815 0.885 0.619
#> 6 6 0.774 0.691 0.840 0.0401 0.951 0.786
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.990 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.0000 0.979 0.000 1.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.990 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.990 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.0000 0.979 0.000 1.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.990 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.990 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.990 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.990 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.990 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.979 0.000 1.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.979 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.0000 0.979 0.000 1.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.979 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.990 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.990 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.0000 0.979 0.000 1.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.0000 0.979 0.000 1.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.979 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 2 0.2603 0.938 0.044 0.956
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.990 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.990 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 2 0.0000 0.979 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.990 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.990 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.979 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.0000 0.979 0.000 1.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.990 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.0000 0.979 0.000 1.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.990 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.990 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.990 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.990 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.990 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.979 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.979 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.0000 0.979 0.000 1.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.990 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.979 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.990 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.979 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.990 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.979 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.979 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.990 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.990 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.990 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.990 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.990 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.990 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.990 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.979 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.990 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.990 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.990 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.9922 0.204 0.448 0.552
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.979 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.990 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.979 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.990 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 2 0.0000 0.979 0.000 1.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.979 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.990 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.9358 0.447 0.648 0.352
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.0000 0.979 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.990 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.979 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.990 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.979 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.990 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.979 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0672 0.972 0.008 0.992
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.979 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 2 0.0000 0.979 0.000 1.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.990 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.979 0.000 1.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.979 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 2 0.0000 0.979 0.000 1.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 2 0.0000 0.979 0.000 1.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.979 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.990 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.990 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.990 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.990 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.990 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.0000 0.979 0.000 1.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.990 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.990 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.0000 0.979 0.000 1.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.0000 0.979 0.000 1.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.0000 0.979 0.000 1.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 2 0.5737 0.836 0.136 0.864
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.990 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.990 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.990 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.990 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.990 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.990 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.979 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.979 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.979 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.979 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.990 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.0000 0.979 0.000 1.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.990 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0000 0.990 1.000 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 2 0.0000 0.979 0.000 1.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.979 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.990 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.990 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.990 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.979 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 2 0.0000 0.979 0.000 1.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.990 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.990 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.979 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.979 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.990 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.990 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.990 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.990 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.7056 0.757 0.808 0.192
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#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.0000 0.979 0.000 1.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.979 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.979 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.979 0.000 1.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.979 0.000 1.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.979 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.990 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.990 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.0000 0.979 0.000 1.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.990 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.4690 0.883 0.900 0.100
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.979 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.990 1.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.990 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.990 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.990 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.0000 0.979 0.000 1.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.0000 0.979 0.000 1.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 2 0.0000 0.979 0.000 1.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0000 0.979 0.000 1.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.990 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.990 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.990 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.0000 0.979 0.000 1.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0000 0.979 0.000 1.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.990 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.990 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.0000 0.979 0.000 1.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 2 0.7299 0.745 0.204 0.796
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.990 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.990 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.990 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.990 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.979 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.990 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0376 0.987 0.996 0.004
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.990 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.990 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.990 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.990 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.990 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.990 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.979 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.990 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.7139 0.751 0.804 0.196
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.979 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.990 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.990 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 2 0.7602 0.721 0.220 0.780
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.990 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 2 0.0000 0.979 0.000 1.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.979 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.990 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.979 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.990 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.990 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.990 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 2 0.0000 0.979 0.000 1.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.0000 0.979 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.0000 0.979 0.000 1.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.990 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.979 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.2948 0.938 0.948 0.052
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.979 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.990 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.990 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.990 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.990 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.979 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.990 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.990 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.990 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.990 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.979 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.979 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.0000 0.979 0.000 1.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.990 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.990 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.990 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.990 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.990 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.990 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.990 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.990 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.990 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.990 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.990 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.990 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.990 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.979 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.990 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.0000 0.979 0.000 1.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.990 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.979 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.990 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 2 0.0000 0.979 0.000 1.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.990 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.990 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.979 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.990 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.990 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.979 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.979 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.990 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.990 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.990 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.990 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.990 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.990 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.990 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.990 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.990 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 2 0.8016 0.683 0.244 0.756
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.990 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.979 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 2 0.9815 0.292 0.420 0.580
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.2043 0.959 0.968 0.032
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.979 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 2 0.0000 0.979 0.000 1.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 2 0.8499 0.627 0.276 0.724
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.979 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.979 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.979 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.990 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.990 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.990 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.990 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.979 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.990 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.990 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.7056 0.757 0.808 0.192
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.990 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.990 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.990 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.990 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.974 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.4504 0.777 0.000 0.804 0.196
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.974 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.974 1.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0237 0.884 0.000 0.004 0.996
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.974 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.974 1.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.974 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 3 0.4452 0.824 0.192 0.000 0.808
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.974 1.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.975 0.000 1.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.975 0.000 1.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0237 0.884 0.000 0.004 0.996
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.975 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0237 0.971 0.996 0.000 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.974 1.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0237 0.884 0.000 0.004 0.996
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0237 0.884 0.000 0.004 0.996
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.975 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.0000 0.885 0.000 0.000 1.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.4504 0.822 0.196 0.000 0.804
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.4504 0.822 0.196 0.000 0.804
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0000 0.885 0.000 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.974 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.971 0.996 0.000 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.975 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.885 0.000 0.000 1.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.3686 0.849 0.140 0.000 0.860
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0237 0.884 0.000 0.004 0.996
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.974 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.974 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.974 1.000 0.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.974 1.000 0.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 3 0.4504 0.822 0.196 0.000 0.804
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.975 0.000 1.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.975 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0237 0.884 0.000 0.004 0.996
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.974 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.975 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0237 0.971 0.996 0.000 0.004
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.975 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.3038 0.860 0.104 0.000 0.896
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.975 0.000 1.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.975 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.974 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.974 1.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.1163 0.880 0.028 0.000 0.972
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.974 1.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.974 1.000 0.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.974 1.000 0.000 0.000
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#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.974 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0237 0.884 0.000 0.004 0.996
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.974 1.000 0.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.975 0.000 1.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.4504 0.822 0.196 0.000 0.804
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.885 0.000 0.000 1.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.974 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.974 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.975 0.000 1.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.974 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.974 1.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.975 0.000 1.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.975 0.000 1.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.974 1.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.974 1.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0237 0.971 0.996 0.000 0.004
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.4504 0.822 0.196 0.000 0.804
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.974 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.974 1.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.974 1.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3816 0.795 0.852 0.000 0.148
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.974 1.000 0.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.0000 0.885 0.000 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 3 0.4504 0.822 0.196 0.000 0.804
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.975 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.0000 0.885 0.000 0.000 1.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.0000 0.885 0.000 0.000 1.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.975 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0237 0.884 0.000 0.004 0.996
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.0000 0.885 0.000 0.000 1.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.975 0.000 1.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.975 0.000 1.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.975 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.974 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.974 1.000 0.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.4504 0.822 0.196 0.000 0.804
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.974 1.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.5785 0.440 0.000 0.332 0.668
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.974 1.000 0.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.974 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.5098 0.660 0.752 0.248 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0424 0.967 0.992 0.000 0.008
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.974 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.974 1.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.885 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.4643 0.460 0.000 0.656 0.344 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4040 0.675 0.752 0.000 0.000 0.248
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.4776 0.417 0.376 0.000 0.000 0.624
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.0188 0.919 0.000 0.000 0.004 0.996
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4103 0.619 0.000 0.744 0.256 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.4040 0.655 0.000 0.000 0.752 0.248
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0921 0.945 0.972 0.000 0.000 0.028
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.4624 0.508 0.660 0.000 0.000 0.340
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.0188 0.919 0.000 0.000 0.004 0.996
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0657 0.951 0.984 0.000 0.004 0.012
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.3688 0.740 0.792 0.000 0.000 0.208
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.3583 0.783 0.816 0.000 0.004 0.180
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.3942 0.692 0.000 0.236 0.764 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.3123 0.818 0.844 0.000 0.000 0.156
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.4605 0.516 0.336 0.000 0.000 0.664
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.1396 0.934 0.004 0.960 0.004 0.032
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.4454 0.537 0.692 0.000 0.000 0.308
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 4 0.4008 0.627 0.000 0.000 0.244 0.756
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0188 0.916 0.000 0.004 0.996 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0657 0.951 0.984 0.000 0.004 0.012
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.3726 0.725 0.000 0.212 0.788 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0779 0.955 0.016 0.980 0.004 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.0817 0.906 0.000 0.024 0.976 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0657 0.912 0.000 0.012 0.984 0.004
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 2 0.0524 0.962 0.008 0.988 0.004 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.3649 0.756 0.796 0.000 0.000 0.204
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 3 0.0336 0.915 0.000 0.000 0.992 0.008
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0336 0.952 0.992 0.000 0.000 0.008
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.4730 0.408 0.000 0.000 0.364 0.636
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.3649 0.756 0.796 0.000 0.000 0.204
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.2647 0.857 0.880 0.000 0.000 0.120
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0657 0.951 0.984 0.000 0.004 0.012
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.4761 0.406 0.000 0.372 0.628 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.2011 0.851 0.080 0.000 0.000 0.920
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 4 0.0188 0.919 0.000 0.000 0.004 0.996
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> 83867921-8D7C-41AE-9292-010EECA0C186 4 0.0000 0.921 0.000 0.000 0.000 1.000
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#> E5157C9F-B1C0-40CD-AA6E-13E82EDB987A 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> AA4D9A22-A8FA-4C41-8B73-D337656CB35B 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> E8AC87A0-AB40-496F-8C38-C067ECEC5057 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> A713AE2F-4D92-41B2-997A-EDA192242ABF 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 3C25C3FD-380E-4DEE-943B-B58690DB65FD 1 0.0707 0.950 0.980 0.000 0.000 0.020
#> 026F6BFF-4E29-47EF-9C88-63E1E1DD29E9 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 91988595-BAA0-447E-B85E-D19B435C2360 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> E25D9A9E-B58C-4518-9B2C-A475B12AE161 4 0.4746 0.410 0.368 0.000 0.000 0.632
#> 9CBD937D-72F2-4F05-A670-9D231FEAB3EC 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> EE7279BD-9012-48EF-9825-3D0AB90FD6C5 1 0.3649 0.756 0.796 0.000 0.000 0.204
#> FFDB999C-00C0-4698-9274-C717C20967F9 3 0.4761 0.385 0.000 0.000 0.628 0.372
#> 1DAF6581-A41A-457E-B8BD-90A47DC5DE8F 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> F8DAEB62-BC18-40CE-8097-2BEF995F38F9 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 3 0.4697 0.478 0.000 0.356 0.644 0.000
#> 66307BD6-E871-4091-8908-6E384DF216E5 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 3 0.0592 0.910 0.000 0.016 0.984 0.000
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 4 0.3172 0.768 0.160 0.000 0.000 0.840
#> F285EF28-075D-4732-8F70-697D7AD745F3 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 1 0.3649 0.756 0.796 0.000 0.000 0.204
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.0592 0.910 0.000 0.016 0.984 0.000
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 3 0.4830 0.376 0.000 0.000 0.608 0.392
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.0707 0.908 0.000 0.020 0.980 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 4 0.0592 0.909 0.000 0.000 0.016 0.984
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 4 0.3610 0.729 0.200 0.000 0.000 0.800
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0817 0.946 0.976 0.000 0.000 0.024
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.4888 0.314 0.000 0.412 0.588 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.4761 0.354 0.000 0.628 0.372 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.0188 0.916 0.000 0.004 0.996 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.0188 0.916 0.000 0.004 0.996 0.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 4 0.4948 0.169 0.000 0.000 0.440 0.560
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.5088 0.252 0.572 0.424 0.004 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 4 0.0188 0.919 0.000 0.000 0.004 0.996
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 4 0.3528 0.732 0.192 0.000 0.000 0.808
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.3688 0.730 0.000 0.208 0.792 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.4304 0.616 0.284 0.000 0.000 0.716
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 2 0.4313 0.613 0.260 0.736 0.004 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0469 0.952 0.988 0.000 0.000 0.012
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.3873 0.679 0.228 0.000 0.000 0.772
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 3 0.4730 0.440 0.000 0.000 0.636 0.364
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0469 0.952 0.988 0.000 0.000 0.012
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0469 0.952 0.988 0.000 0.000 0.012
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 4 0.0592 0.909 0.000 0.000 0.016 0.984
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.1867 0.907 0.928 0.000 0.000 0.072
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 4 0.0469 0.912 0.000 0.000 0.012 0.988
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 4 0.4972 0.138 0.456 0.000 0.000 0.544
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.0707 0.908 0.000 0.020 0.980 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.4855 0.344 0.000 0.400 0.600 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 4 0.0592 0.909 0.000 0.000 0.016 0.984
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1474 0.926 0.948 0.000 0.000 0.052
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0336 0.952 0.992 0.000 0.000 0.008
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0524 0.951 0.988 0.000 0.004 0.008
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0336 0.952 0.992 0.000 0.000 0.008
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.4830 0.378 0.392 0.000 0.000 0.608
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.3975 0.686 0.000 0.240 0.760 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.3649 0.756 0.796 0.000 0.000 0.204
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0469 0.952 0.988 0.000 0.000 0.012
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.950 1.000 0.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.4250 0.608 0.276 0.000 0.000 0.724
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.0469 0.914 0.012 0.000 0.000 0.988
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0469 0.952 0.988 0.000 0.000 0.012
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 4 0.3528 0.732 0.192 0.000 0.000 0.808
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.4817 0.386 0.000 0.000 0.612 0.388
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0707 0.908 0.000 0.020 0.980 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 4 0.0817 0.904 0.000 0.000 0.024 0.976
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.4679 0.467 0.000 0.000 0.648 0.352
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0188 0.918 0.000 0.000 0.996 0.004
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 4 0.1557 0.876 0.000 0.000 0.056 0.944
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0188 0.969 0.000 0.996 0.004 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.971 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 4 0.0000 0.921 0.000 0.000 0.000 1.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0188 0.916 0.000 0.004 0.996 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.4250 0.625 0.724 0.000 0.000 0.276
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.4991 0.360 0.608 0.388 0.004 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.0188 0.920 0.004 0.000 0.000 0.996
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0592 0.952 0.984 0.000 0.000 0.016
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0188 0.949 0.996 0.000 0.004 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.0188 0.919 0.000 0.000 0.004 0.996
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.5861 0.1860 0.000 0.100 0.400 0.000 0.500
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.4287 0.0645 0.000 0.000 0.000 0.540 0.460
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.2179 0.7970 0.000 0.000 0.000 0.112 0.888
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.3039 0.7603 0.192 0.000 0.000 0.808 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.2424 0.8251 0.000 0.000 0.000 0.868 0.132
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.2732 0.7839 0.840 0.000 0.160 0.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.3074 0.7520 0.196 0.000 0.000 0.804 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.2929 0.7541 0.000 0.000 0.000 0.820 0.180
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.3906 0.6793 0.016 0.000 0.000 0.240 0.744
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4192 0.3574 0.000 0.404 0.596 0.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.3816 0.5335 0.000 0.000 0.000 0.696 0.304
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.3274 0.7077 0.220 0.000 0.000 0.780 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.1845 0.8987 0.016 0.928 0.000 0.000 0.056
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.0404 0.9477 0.000 0.988 0.000 0.000 0.012
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.1484 0.8982 0.048 0.000 0.000 0.944 0.008
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.2966 0.7175 0.184 0.000 0.816 0.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2280 0.8226 0.880 0.000 0.120 0.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 5 0.4161 0.4133 0.000 0.000 0.000 0.392 0.608
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.4138 0.4046 0.000 0.384 0.616 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.2773 0.7905 0.000 0.000 0.000 0.836 0.164
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.2813 0.7612 0.000 0.168 0.832 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0609 0.8888 0.000 0.020 0.980 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.1270 0.8413 0.000 0.052 0.000 0.000 0.948
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.0510 0.9248 0.016 0.000 0.000 0.984 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.0290 0.8755 0.000 0.000 0.000 0.008 0.992
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 3 0.4242 0.2192 0.428 0.000 0.572 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.2966 0.7506 0.816 0.000 0.184 0.000 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.0703 0.9193 0.024 0.000 0.000 0.976 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 5 0.4268 0.2811 0.000 0.000 0.000 0.444 0.556
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 3 0.4171 0.2893 0.000 0.000 0.604 0.000 0.396
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.1965 0.8589 0.096 0.000 0.000 0.904 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0510 0.9268 0.984 0.000 0.000 0.016 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 5 0.0404 0.8738 0.000 0.000 0.000 0.012 0.988
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.1792 0.8689 0.000 0.000 0.000 0.916 0.084
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 4 0.3730 0.5893 0.288 0.000 0.000 0.712 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 4 0.4242 0.2474 0.428 0.000 0.000 0.572 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 2 0.4304 0.1410 0.000 0.516 0.000 0.000 0.484
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 1 0.1410 0.8891 0.940 0.000 0.000 0.060 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 15AA31A3-8F6C-4E85-8239-FDC858E6A592 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A9D59F4D-317C-4407-ACB1-40B87F54FFDE 2 0.0510 0.9447 0.000 0.984 0.000 0.000 0.016
#> B523A296-8146-456A-9942-7147A1882B01 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> CD700104-BB1D-4D62-BA80-A8A13EC3555C 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 6D74A040-EBC4-4C09-96FA-DD1FB343C6C0 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 7E2AE3E9-5D7B-4267-992A-9ACF29A848C6 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> FFF2260C-1DFC-4978-A9B5-2F60F05AA7DF 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 03278DF4-8361-47AF-88A2-6F7BD789B684 4 0.3109 0.7476 0.200 0.000 0.000 0.800 0.000
#> 200FFDD7-8AE4-4728-A8F0-3C838FE31FD4 1 0.4306 -0.0259 0.508 0.000 0.000 0.492 0.000
#> 96B96425-04BD-4676-85EC-CCBC598533AB 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> AD2F9030-3505-4B23-8F25-D7861D6AC461 5 0.3949 0.4899 0.000 0.000 0.000 0.332 0.668
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#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 4 0.3561 0.6387 0.000 0.000 0.000 0.740 0.260
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.1478 0.8563 0.000 0.064 0.936 0.000 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.3424 0.7100 0.000 0.760 0.000 0.000 0.240
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.0794 0.9164 0.000 0.000 0.000 0.972 0.028
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.3424 0.7100 0.000 0.760 0.000 0.000 0.240
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.3109 0.7359 0.800 0.000 0.000 0.000 0.200
#> 9E9640CE-68E4-402B-87B4-805A425009B2 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 3 0.4161 0.3875 0.000 0.392 0.608 0.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.0162 0.9530 0.000 0.996 0.004 0.000 0.000
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0290 0.9330 0.992 0.000 0.000 0.008 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.3837 0.5962 0.000 0.692 0.000 0.000 0.308
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 5 0.4306 0.1094 0.000 0.000 0.000 0.492 0.508
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.2852 0.7664 0.828 0.000 0.172 0.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.1197 0.9012 0.952 0.000 0.000 0.048 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 4 0.2127 0.8444 0.000 0.000 0.000 0.892 0.108
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.3586 0.6388 0.736 0.000 0.000 0.264 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.3336 0.6875 0.000 0.228 0.772 0.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.2516 0.8161 0.140 0.000 0.000 0.860 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 4 0.2690 0.7971 0.156 0.000 0.000 0.844 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.4201 0.2703 0.592 0.000 0.408 0.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 5 0.1197 0.8506 0.000 0.000 0.000 0.048 0.952
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.3752 0.6258 0.000 0.708 0.000 0.000 0.292
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.1908 0.8611 0.000 0.000 0.000 0.908 0.092
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.3424 0.7100 0.000 0.760 0.000 0.000 0.240
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.3366 0.6871 0.000 0.000 0.000 0.768 0.232
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 4 0.2773 0.7884 0.164 0.000 0.000 0.836 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 3 0.1197 0.8692 0.000 0.048 0.952 0.000 0.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 3 0.4171 0.3780 0.000 0.396 0.604 0.000 0.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0703 0.9210 0.976 0.000 0.000 0.024 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 5 0.4088 0.4679 0.000 0.000 0.000 0.368 0.632
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.3336 0.6770 0.000 0.000 0.000 0.772 0.228
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 4 0.1043 0.9068 0.040 0.000 0.000 0.960 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.4192 0.3574 0.000 0.404 0.596 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0404 0.8924 0.012 0.000 0.988 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.3395 0.7154 0.000 0.764 0.000 0.000 0.236
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.0703 0.9197 0.000 0.000 0.000 0.976 0.024
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 4 0.2732 0.7927 0.160 0.000 0.000 0.840 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 4 0.3534 0.6471 0.256 0.000 0.000 0.744 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3109 0.7224 0.800 0.000 0.000 0.200 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.4306 0.0508 0.492 0.000 0.508 0.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0794 0.8836 0.000 0.028 0.972 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.3534 0.6241 0.256 0.000 0.744 0.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.3424 0.7100 0.000 0.760 0.000 0.000 0.240
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.3395 0.7154 0.000 0.764 0.000 0.000 0.236
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9563 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9386 1.000 0.000 0.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.9004 0.000 0.000 1.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4074 0.3967 0.636 0.000 0.000 0.364 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0000 0.9347 0.000 0.000 0.000 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.0000 0.8798 0.000 0.000 0.000 0.000 1.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9386 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
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0000 0.84035 0.000 0.000 0.000 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 6 0.6449 0.42430 0.000 0.024 0.284 0.000 0.252 0.440
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.0000 0.84035 0.000 0.000 0.000 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.2092 0.81295 0.000 0.000 0.000 0.876 0.000 0.124
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.87592 0.000 0.000 1.000 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.0000 0.84035 0.000 0.000 0.000 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.3835 0.53886 0.000 0.000 0.000 0.300 0.684 0.016
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0260 0.84052 0.000 0.000 0.000 0.992 0.000 0.008
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.83018 1.000 0.000 0.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.1806 0.68313 0.000 0.000 0.000 0.088 0.908 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.3706 0.24710 0.000 0.620 0.000 0.000 0.000 0.380
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 6 0.3868 0.14140 0.000 0.496 0.000 0.000 0.000 0.504
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.87592 0.000 0.000 1.000 0.000 0.000 0.000
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#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.5604 0.22051 0.404 0.000 0.000 0.452 0.000 0.144
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0146 0.84023 0.000 0.000 0.000 0.996 0.000 0.004
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.1204 0.71214 0.000 0.000 0.000 0.000 0.944 0.056
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.3244 0.78356 0.732 0.000 0.000 0.000 0.000 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["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.460 0.751 0.865 0.4029 0.645 0.645
#> 3 3 0.617 0.691 0.884 0.4891 0.625 0.470
#> 4 4 0.616 0.729 0.878 0.1153 0.819 0.595
#> 5 5 0.809 0.795 0.906 0.1100 0.806 0.494
#> 6 6 0.733 0.653 0.851 0.0515 0.934 0.757
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.8037 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.8499 0.7065 0.724 0.276
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.8037 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0376 0.8029 0.996 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.9209 0.2761 0.336 0.664
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.8037 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.8037 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.8037 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.9087 0.6653 0.676 0.324
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.8037 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.8763 0.6905 0.704 0.296
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.9754 0.5725 0.592 0.408
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.3733 0.8581 0.072 0.928
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9393 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.8037 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.8037 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.9754 0.5725 0.592 0.408
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.9866 -0.1248 0.432 0.568
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9393 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.9754 0.5725 0.592 0.408
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.8499 0.7065 0.724 0.276
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.9710 0.5826 0.600 0.400
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.9754 0.5725 0.592 0.408
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.8037 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.8037 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9393 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.9754 0.5725 0.592 0.408
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.9044 0.6691 0.680 0.320
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.9998 0.3805 0.508 0.492
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.8037 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.8037 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.8037 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.8037 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3274 0.7889 0.940 0.060
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9393 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9393 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 1 0.9754 0.5725 0.592 0.408
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.8037 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9393 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2043 0.7963 0.968 0.032
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9393 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.8499 0.7065 0.724 0.276
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9393 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9393 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.8037 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.8037 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.8499 0.7065 0.724 0.276
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.8037 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.8037 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.8037 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.8037 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9393 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.8037 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.8037 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.8327 0.7130 0.736 0.264
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.8499 0.7065 0.724 0.276
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9393 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.8499 0.7065 0.724 0.276
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.9998 0.3859 0.508 0.492
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.8499 0.7065 0.724 0.276
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.9754 0.5725 0.592 0.408
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9393 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.8037 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.9754 0.5725 0.592 0.408
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.0000 0.9393 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.8037 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9393 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0376 0.8029 0.996 0.004
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9393 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.9635 0.5969 0.612 0.388
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.9393 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.8713 0.6943 0.708 0.292
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.9393 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.9754 0.5725 0.592 0.408
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.8037 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.9686 0.0373 0.396 0.604
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.9393 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.8499 0.7065 0.724 0.276
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.9754 0.5725 0.592 0.408
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9393 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.1184 0.8002 0.984 0.016
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.8037 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.8037 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.8037 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.8037 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 1 0.9754 0.5725 0.592 0.408
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.8037 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.8037 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 1 0.9850 0.5350 0.572 0.428
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 1 0.9754 0.5725 0.592 0.408
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 1 0.9754 0.5725 0.592 0.408
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.9754 0.5725 0.592 0.408
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.8037 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.8037 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.8037 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.6973 0.7465 0.812 0.188
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.8037 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.8037 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9393 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9393 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9393 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.9393 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.8037 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.9754 0.5725 0.592 0.408
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.8037 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0000 0.8037 1.000 0.000
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.9754 0.5725 0.592 0.408
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.9393 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.8037 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.8037 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.8037 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9393 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.8499 0.7065 0.724 0.276
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.8037 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.8037 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9393 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9393 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.9754 0.5725 0.592 0.408
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.8499 0.7065 0.724 0.276
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.8037 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.7815 0.7282 0.768 0.232
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.9754 0.5725 0.592 0.408
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.8037 1.000 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.9754 0.5725 0.592 0.408
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 1 0.0000 0.8037 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 1 0.8499 0.7065 0.724 0.276
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 1 0.0000 0.8037 1.000 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9393 0.000 1.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.8443 0.7088 0.728 0.272
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.0000 0.8037 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.9393 0.000 1.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 1 0.0000 0.8037 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9393 0.000 1.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.0000 0.9393 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.9754 0.5725 0.592 0.408
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#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.8037 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.8327 0.4884 0.264 0.736
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.8037 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.9754 0.5725 0.592 0.408
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9393 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.8499 0.7065 0.724 0.276
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.9580 0.6062 0.620 0.380
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.8499 0.7065 0.724 0.276
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.8037 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.5629 0.7709 0.132 0.868
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 1 0.9754 0.5725 0.592 0.408
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.9754 0.5725 0.592 0.408
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.9686 0.0375 0.396 0.604
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.8037 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.8037 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.5842 0.7638 0.860 0.140
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.9754 0.5725 0.592 0.408
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.9580 0.5813 0.620 0.380
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.8499 0.7065 0.724 0.276
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.8037 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.0000 0.9393 0.000 1.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.9754 0.5725 0.592 0.408
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.8037 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.8037 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.8037 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.8037 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9393 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.6623 0.7525 0.828 0.172
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.3431 0.7872 0.936 0.064
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.8037 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.9754 0.5725 0.592 0.408
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.8037 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.8499 0.7065 0.724 0.276
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.8499 0.7065 0.724 0.276
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.8037 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.9393 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.8037 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.8327 0.7131 0.736 0.264
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9393 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.8037 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.8037 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.9754 0.5725 0.592 0.408
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.8037 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.9754 0.5725 0.592 0.408
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9393 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.8037 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9393 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.8037 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.8037 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.8037 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.9754 0.5725 0.592 0.408
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.9754 0.5725 0.592 0.408
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 1 0.9754 0.5725 0.592 0.408
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.8037 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.5408 0.7895 0.124 0.876
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.9754 0.5725 0.592 0.408
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9393 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.8499 0.7065 0.724 0.276
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0376 0.8029 0.996 0.004
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.8499 0.7065 0.724 0.276
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.8499 0.7065 0.724 0.276
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9393 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.8037 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.8499 0.7065 0.724 0.276
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.8037 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.8386 0.7109 0.732 0.268
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.9393 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9393 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.9661 0.0404 0.392 0.608
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.8037 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.8443 0.7088 0.728 0.272
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.9754 0.5725 0.592 0.408
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.8037 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.8499 0.7065 0.724 0.276
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.8037 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.8037 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.8037 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.8499 0.7065 0.724 0.276
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.8037 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.8037 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.8037 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.9732 0.5776 0.596 0.404
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9393 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.8037 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 1 0.9775 0.5654 0.588 0.412
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.8037 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9393 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.8499 0.7065 0.724 0.276
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.9754 0.5725 0.592 0.408
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.8037 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.8037 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 1 0.9815 0.5509 0.580 0.420
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.8037 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.8037 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9393 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9393 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.8037 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.8037 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.8037 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.8499 0.7065 0.724 0.276
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.8037 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.8037 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.8037 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.2603 0.7932 0.956 0.044
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.7056 0.7449 0.808 0.192
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.9754 0.5725 0.592 0.408
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.8499 0.7065 0.724 0.276
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9393 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.9754 0.5725 0.592 0.408
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.9044 0.6691 0.680 0.320
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9393 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.9754 0.5725 0.592 0.408
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.9754 0.5725 0.592 0.408
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.5294 0.7952 0.120 0.880
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.5629 0.7780 0.132 0.868
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9393 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.8037 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.8037 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.8499 0.7065 0.724 0.276
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.8037 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.9393 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.8037 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.8037 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.8037 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1184 0.8002 0.984 0.016
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.8037 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.8037 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.8499 0.7065 0.724 0.276
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.92760 1.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.4575 0.62022 0.184 0.004 0.812
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.92760 1.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0424 0.92415 0.992 0.000 0.008
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0237 0.75604 0.000 0.004 0.996
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.92760 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.92760 1.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.92760 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 3 0.2165 0.73661 0.064 0.000 0.936
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.92760 1.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.0237 0.75787 0.004 0.000 0.996
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.0000 0.75813 0.000 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0747 0.74854 0.000 0.016 0.984
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.77852 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.2066 0.88178 0.940 0.000 0.060
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.92760 1.000 0.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.75813 0.000 0.000 1.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.75813 0.000 0.000 1.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.6291 -0.06347 0.000 0.468 0.532
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.0592 0.75649 0.012 0.000 0.988
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.2356 0.73220 0.072 0.000 0.928
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.3116 0.70812 0.108 0.000 0.892
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0000 0.75813 0.000 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.92760 1.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.3551 0.81203 0.868 0.000 0.132
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.5905 0.51247 0.000 0.648 0.352
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.75813 0.000 0.000 1.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.2066 0.73873 0.060 0.000 0.940
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.0000 0.75813 0.000 0.000 1.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.92760 1.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.92760 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0237 0.92605 0.996 0.000 0.004
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0237 0.92605 0.996 0.000 0.004
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 3 0.6204 0.21402 0.424 0.000 0.576
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.6291 -0.06347 0.000 0.468 0.532
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5905 0.51247 0.000 0.648 0.352
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.75813 0.000 0.000 1.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.92760 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.5905 0.51247 0.000 0.648 0.352
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4702 0.70999 0.788 0.000 0.212
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.77852 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.1964 0.74069 0.056 0.000 0.944
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.6291 -0.06347 0.000 0.468 0.532
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.77852 0.000 1.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.92760 1.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.92760 1.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 3 0.0000 0.75813 0.000 0.000 1.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.92760 1.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0747 0.91931 0.984 0.000 0.016
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.92760 1.000 0.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.92760 1.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.77852 0.000 1.000 0.000
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#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0237 0.92605 0.996 0.000 0.004
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.92760 1.000 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.92760 1.000 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 3 0.2066 0.73861 0.060 0.000 0.940
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.6168 0.38379 0.000 0.588 0.412
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.92760 1.000 0.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.75813 0.000 0.000 1.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0237 0.92605 0.996 0.000 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.6291 -0.06347 0.000 0.468 0.532
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.6305 -0.05634 0.516 0.000 0.484
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.75813 0.000 0.000 1.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.92760 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.92760 1.000 0.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.8666 0.32044 0.336 0.120 0.544
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.92760 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.92760 1.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.6168 0.40815 0.000 0.588 0.412
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.6309 0.18029 0.000 0.504 0.496
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.92760 1.000 0.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.92760 1.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0237 0.92605 0.996 0.000 0.004
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.4062 0.67676 0.164 0.000 0.836
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.92760 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0237 0.92605 0.996 0.000 0.004
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.92760 1.000 0.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.1964 0.88335 0.944 0.000 0.056
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.4452 0.69922 0.808 0.000 0.192
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.0237 0.75776 0.004 0.000 0.996
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 3 0.3116 0.70812 0.108 0.000 0.892
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.6204 0.36039 0.000 0.576 0.424
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.0237 0.75776 0.004 0.000 0.996
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 3 0.0000 0.75813 0.000 0.000 1.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.5905 0.51247 0.000 0.648 0.352
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.0000 0.75813 0.000 0.000 1.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.0000 0.75813 0.000 0.000 1.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.6291 -0.06347 0.000 0.468 0.532
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.7067 -0.10520 0.020 0.468 0.512
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.77852 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.92760 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0237 0.92605 0.996 0.000 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.2711 0.72890 0.088 0.000 0.912
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.92760 1.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.6045 0.18108 0.000 0.380 0.620
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0237 0.92605 0.996 0.000 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.92760 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.2066 0.88017 0.940 0.000 0.060
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.4452 0.72631 0.808 0.000 0.192
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.92760 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0237 0.92605 0.996 0.000 0.004
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.2066 0.73808 0.060 0.000 0.940
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.2760 0.64953 0.128 0.000 0.000 0.872
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0469 0.91960 0.988 0.000 0.000 0.012
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0469 0.91610 0.988 0.000 0.000 0.012
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 4 0.3074 0.74527 0.152 0.000 0.000 0.848
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4624 0.40769 0.000 0.660 0.340 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.4989 0.33605 0.472 0.000 0.000 0.528
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 4 0.3610 0.47902 0.000 0.200 0.000 0.800
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 4 0.3074 0.74523 0.152 0.000 0.000 0.848
#> C445F3C3-0E15-4C92-B258-B35433957A8E 4 0.3400 0.73685 0.180 0.000 0.000 0.820
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.4933 0.42360 0.432 0.000 0.000 0.568
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.4713 0.63658 0.000 0.640 0.000 0.360
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 4 0.2973 0.74631 0.144 0.000 0.000 0.856
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4790 0.41600 0.000 0.000 0.620 0.380
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.2345 0.83527 0.900 0.000 0.000 0.100
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 4 0.4888 0.47644 0.412 0.000 0.000 0.588
#> 141CECEC-2118-4805-9DD0-67F13620674D 4 0.7488 -0.40674 0.000 0.384 0.180 0.436
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.4072 0.70323 0.000 0.748 0.000 0.252
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.2760 0.77928 0.872 0.000 0.000 0.128
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.4697 0.63979 0.000 0.644 0.000 0.356
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.4855 0.32350 0.600 0.000 0.000 0.400
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 4 0.2973 0.74631 0.144 0.000 0.000 0.856
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.0336 0.72465 0.008 0.000 0.000 0.992
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.4955 0.40304 0.444 0.000 0.000 0.556
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.3688 0.72030 0.208 0.000 0.000 0.792
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 4 0.2814 0.59037 0.000 0.132 0.000 0.868
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 4 0.2973 0.74631 0.144 0.000 0.000 0.856
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.3219 0.74230 0.164 0.000 0.000 0.836
#> 024513A5-FF28-44F9-9683-8A545557A64E 4 0.4830 0.20929 0.000 0.000 0.392 0.608
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 4 0.0469 0.72650 0.012 0.000 0.000 0.988
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.4250 0.53071 0.000 0.000 0.724 0.276
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0336 0.92148 0.992 0.000 0.000 0.008
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.4925 0.35085 0.000 0.000 0.572 0.428
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.4605 0.34301 0.664 0.000 0.000 0.336
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.3024 0.74587 0.148 0.000 0.000 0.852
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.6979 0.26226 0.000 0.128 0.528 0.344
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.4855 0.30312 0.600 0.000 0.000 0.400
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.1557 0.83768 0.000 0.000 0.944 0.056
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.2149 0.80740 0.000 0.000 0.912 0.088
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.5678 0.50432 0.000 0.524 0.024 0.452
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 4 0.0469 0.71772 0.000 0.000 0.012 0.988
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.3726 0.71090 0.788 0.000 0.000 0.212
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 4 0.4967 0.39398 0.452 0.000 0.000 0.548
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.3688 0.71862 0.792 0.000 0.000 0.208
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 4 0.3649 0.57162 0.000 0.000 0.204 0.796
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 4 0.4776 0.54085 0.376 0.000 0.000 0.624
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.5764 0.50141 0.000 0.520 0.028 0.452
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.2216 0.84406 0.908 0.000 0.000 0.092
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 4 0.3142 0.58369 0.000 0.132 0.008 0.860
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.3764 0.62333 0.784 0.000 0.000 0.216
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.79073 0.000 1.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.0000 0.72090 0.000 0.000 0.000 1.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.92481 1.000 0.000 0.000 0.000
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#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.88096 0.000 0.000 1.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.1792 0.86831 0.932 0.000 0.000 0.068
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2647 0.79090 0.880 0.000 0.000 0.120
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.2647 0.81259 0.880 0.000 0.000 0.120
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.4961 0.40297 0.448 0.000 0.000 0.552
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.92481 1.000 0.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0469 0.91936 0.988 0.000 0.000 0.012
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 4 0.3024 0.74587 0.148 0.000 0.000 0.852
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3355 0.7437 0.184 0.000 0.012 0.000 0.804
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.5188 0.3437 0.056 0.000 0.000 0.600 0.344
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.4256 0.2664 0.564 0.000 0.000 0.436 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.0963 0.7857 0.036 0.000 0.000 0.000 0.964
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4242 0.2478 0.000 0.572 0.428 0.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1965 0.8175 0.904 0.000 0.000 0.096 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.0162 0.9094 0.004 0.000 0.000 0.996 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.4235 0.5159 0.424 0.000 0.000 0.000 0.576
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 5 0.4256 0.4959 0.436 0.000 0.000 0.000 0.564
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.1478 0.8801 0.064 0.000 0.000 0.936 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.2929 0.7047 0.820 0.000 0.000 0.180 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4807 -0.0185 0.020 0.000 0.532 0.000 0.448
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.0162 0.9094 0.004 0.000 0.000 0.996 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.0703 0.9038 0.024 0.000 0.000 0.976 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.3752 0.5775 0.000 0.000 0.000 0.708 0.292
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.1197 0.8585 0.952 0.000 0.000 0.048 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.2074 0.7307 0.000 0.104 0.000 0.000 0.896
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.1544 0.8783 0.068 0.000 0.000 0.932 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.5341 0.5250 0.376 0.000 0.000 0.060 0.564
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.3707 0.6052 0.000 0.000 0.716 0.000 0.284
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.4283 0.4624 0.456 0.000 0.000 0.000 0.544
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.4249 0.2870 0.432 0.000 0.000 0.568 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3884 0.5511 0.004 0.000 0.000 0.708 0.288
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.0162 0.9094 0.004 0.000 0.000 0.996 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.4268 0.2542 0.444 0.000 0.000 0.556 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 5 0.4789 0.5474 0.392 0.000 0.000 0.024 0.584
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.4249 0.2870 0.432 0.000 0.000 0.568 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0703 0.8732 0.976 0.000 0.024 0.000 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.0510 0.9064 0.016 0.000 0.000 0.984 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 5 0.4278 0.4689 0.452 0.000 0.000 0.000 0.548
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 5 0.4278 0.2849 0.000 0.000 0.452 0.000 0.548
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.3210 0.6460 0.000 0.000 0.212 0.000 0.788
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.2983 0.8307 0.096 0.000 0.000 0.864 0.040
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.0880 0.7753 0.000 0.000 0.032 0.000 0.968
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.4135 0.6187 0.340 0.000 0.000 0.004 0.656
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4060 0.1503 0.640 0.000 0.000 0.000 0.360
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.5215 0.5635 0.088 0.000 0.000 0.256 0.656
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.3612 0.6329 0.268 0.000 0.000 0.732 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.0162 0.9089 0.004 0.000 0.000 0.996 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.1270 0.8851 0.052 0.000 0.000 0.948 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.2280 0.8466 0.000 0.880 0.000 0.000 0.120
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.0703 0.8996 0.024 0.000 0.000 0.976 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.3983 0.6219 0.340 0.000 0.000 0.000 0.660
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.1732 0.8648 0.000 0.000 0.000 0.920 0.080
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0404 0.8780 0.988 0.000 0.000 0.000 0.012
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.4060 0.4583 0.360 0.000 0.000 0.640 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.0794 0.8986 0.028 0.000 0.000 0.972 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.3177 0.6939 0.000 0.000 0.000 0.792 0.208
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 5 0.4045 0.6044 0.356 0.000 0.000 0.000 0.644
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.0794 0.8993 0.028 0.000 0.000 0.972 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.4126 0.3966 0.380 0.000 0.000 0.620 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.5790 0.5858 0.184 0.000 0.000 0.200 0.616
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0510 0.8800 0.984 0.000 0.000 0.016 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 5 0.4227 0.5219 0.420 0.000 0.000 0.000 0.580
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.4763 0.6079 0.336 0.000 0.000 0.032 0.632
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.1478 0.8801 0.064 0.000 0.000 0.936 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 3 0.3305 0.6694 0.000 0.224 0.776 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 4 0.4249 0.2870 0.432 0.000 0.000 0.568 0.000
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 4 0.3857 0.5375 0.312 0.000 0.000 0.688 0.000
#> 2A498BBC-1E45-4604-AFFA-74CDD8DA5A03 4 0.2505 0.8437 0.092 0.000 0.000 0.888 0.020
#> 0753DE3D-593E-4AEC-9376-5D32BC7903E8 5 0.4856 0.5484 0.388 0.000 0.000 0.028 0.584
#> 27349F55-75CA-4D7D-B92B-AB733A56975D 1 0.2690 0.7546 0.844 0.000 0.156 0.000 0.000
#> A0E791AA-C7EE-4957-B0D9-97EC528A88AE 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 72DC1846-4B96-4A17-8E40-BD8D39503538 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 9BE3F538-EF0F-4891-99CA-EDB794962914 4 0.4249 0.2870 0.432 0.000 0.000 0.568 0.000
#> DD6D4A49-1B5B-4E37-90A6-4E494E51CF04 4 0.1830 0.8782 0.040 0.000 0.000 0.932 0.028
#> F1A00DF5-5135-4984-B854-BAB6A675974B 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
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#> 419CFFBF-384F-48A2-B0AB-386BD5071FDD 1 0.1121 0.8634 0.956 0.000 0.000 0.044 0.000
#> 4A0F0E08-B782-409D-8794-8C6E9A5D53CD 5 0.2690 0.7573 0.156 0.000 0.000 0.000 0.844
#> 66307BD6-E871-4091-8908-6E384DF216E5 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 6D8BB952-8FF8-48EE-9903-7B656F5F1A34 5 0.1270 0.7784 0.052 0.000 0.000 0.000 0.948
#> AE068D01-91BC-4078-8AF3-6DCCA5F1F6D0 1 0.0703 0.8750 0.976 0.000 0.000 0.024 0.000
#> F285EF28-075D-4732-8F70-697D7AD745F3 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> BA5B80A9-05B7-4329-9AB7-ACD69F1528D2 4 0.1732 0.8706 0.080 0.000 0.000 0.920 0.000
#> 01170D45-CAA6-4F19-A75B-AE4CD9721BFB 5 0.5250 0.4752 0.416 0.000 0.000 0.048 0.536
#> F1BF1BC7-1FB8-4881-9A48-CB8EFBE99E09 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> DCA625FC-2368-4064-B9A5-4ECA80C6A375 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 6126EBBE-69AC-4B01-9CCF-BA0E760472DA 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 50D8B5D9-1B1E-4B7E-A051-68B44CC57345 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 5 0.4088 0.5909 0.368 0.000 0.000 0.000 0.632
#> E0053297-AB5D-4580-9328-7C3743E9CB14 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 4 0.4524 0.4762 0.336 0.000 0.000 0.644 0.020
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 5 0.1851 0.7422 0.000 0.088 0.000 0.000 0.912
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0162 0.8850 0.996 0.000 0.000 0.004 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0162 0.8849 0.996 0.000 0.004 0.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0290 0.8830 0.992 0.000 0.000 0.008 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 5 0.5405 0.5234 0.380 0.000 0.000 0.064 0.556
#> 9E9640CE-68E4-402B-87B4-805A425009B2 5 0.5484 0.4893 0.392 0.000 0.000 0.068 0.540
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 5 0.2074 0.7718 0.104 0.000 0.000 0.000 0.896
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 5 0.3561 0.6814 0.260 0.000 0.000 0.000 0.740
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0963 0.8680 0.964 0.000 0.000 0.036 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 5 0.6053 0.5766 0.196 0.000 0.228 0.000 0.576
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0162 0.8849 0.996 0.000 0.000 0.004 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 4 0.0404 0.9076 0.012 0.000 0.000 0.988 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 5 0.4268 0.4830 0.444 0.000 0.000 0.000 0.556
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 4 0.1197 0.8882 0.000 0.000 0.000 0.952 0.048
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 4 0.0703 0.8996 0.024 0.000 0.000 0.976 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 4 0.0162 0.9092 0.004 0.000 0.000 0.996 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.2127 0.8026 0.892 0.000 0.000 0.108 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 5 0.3389 0.7520 0.116 0.000 0.000 0.048 0.836
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.3109 0.7128 0.800 0.000 0.000 0.200 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 4 0.4201 0.3398 0.408 0.000 0.000 0.592 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 5 0.0510 0.7810 0.000 0.000 0.000 0.016 0.984
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 5 0.1851 0.7422 0.000 0.088 0.000 0.000 0.912
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.1608 0.8409 0.928 0.000 0.000 0.072 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0404 0.8807 0.988 0.000 0.012 0.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 5 0.4242 0.5104 0.428 0.000 0.000 0.000 0.572
#> 3F79FC21-B181-42FE-914B-CC298BD72343 5 0.1851 0.7422 0.000 0.088 0.000 0.000 0.912
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 5 0.4908 0.4428 0.036 0.000 0.000 0.356 0.608
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 4 0.0290 0.9085 0.008 0.000 0.000 0.992 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.1197 0.8534 0.952 0.000 0.048 0.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 5 0.1341 0.7603 0.000 0.056 0.000 0.000 0.944
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.4283 0.1685 0.544 0.000 0.000 0.456 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 4 0.0510 0.9064 0.016 0.000 0.000 0.984 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 5 0.4256 0.4992 0.436 0.000 0.000 0.000 0.564
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 5 0.3074 0.6685 0.000 0.000 0.196 0.000 0.804
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 5 0.1197 0.7650 0.000 0.048 0.000 0.000 0.952
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 5 0.2471 0.7207 0.000 0.000 0.136 0.000 0.864
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.2329 0.7917 0.876 0.000 0.000 0.124 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.1671 0.8419 0.924 0.000 0.000 0.076 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 4 0.0703 0.8996 0.024 0.000 0.000 0.976 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.4101 0.4242 0.628 0.000 0.000 0.372 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 4 0.1502 0.8817 0.004 0.000 0.000 0.940 0.056
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 4 0.4249 0.2870 0.432 0.000 0.000 0.568 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0703 0.8732 0.976 0.000 0.024 0.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 4 0.1544 0.8784 0.068 0.000 0.000 0.932 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 4 0.0880 0.9010 0.032 0.000 0.000 0.968 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.3895 0.5124 0.680 0.000 0.000 0.320 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.4201 0.3338 0.592 0.000 0.000 0.408 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.0609 0.9050 0.020 0.000 0.000 0.980 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.3177 0.7089 0.792 0.000 0.000 0.208 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 4 0.2648 0.7880 0.152 0.000 0.000 0.848 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 5 0.4872 0.4724 0.436 0.000 0.000 0.024 0.540
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 5 0.4517 0.4891 0.436 0.000 0.000 0.008 0.556
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.4242 -0.1492 0.572 0.000 0.000 0.000 0.428
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 5 0.1341 0.7603 0.000 0.056 0.000 0.000 0.944
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 5 0.4341 0.5437 0.404 0.000 0.004 0.000 0.592
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 5 0.4278 0.4683 0.452 0.000 0.000 0.000 0.548
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.0000 0.7866 0.000 0.000 0.000 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9742 0.000 1.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.1544 0.8740 0.000 0.000 0.000 0.932 0.068
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0162 0.9094 0.004 0.000 0.000 0.996 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.9503 0.000 0.000 1.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.1628 0.8800 0.056 0.000 0.000 0.936 0.008
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.2020 0.8408 0.100 0.000 0.000 0.900 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.1965 0.8518 0.000 0.000 0.000 0.904 0.096
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.8866 1.000 0.000 0.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0000 0.9101 0.000 0.000 0.000 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2424 0.8153 0.000 0.000 0.000 0.868 0.132
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.8866 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
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.0000 0.88638 0.000 0.000 0.000 1.000 0.000 0.000
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#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 6 0.2969 0.45776 0.000 0.000 0.000 0.000 0.224 0.776
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.96297 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.0000 0.88638 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.5170 0.45252 0.000 0.000 0.000 0.620 0.204 0.176
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0363 0.88667 0.988 0.000 0.000 0.000 0.012 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0777 0.87847 0.004 0.000 0.000 0.972 0.024 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0000 0.92557 0.000 0.000 1.000 0.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.1498 0.86392 0.032 0.000 0.000 0.940 0.028 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.1663 0.83194 0.088 0.000 0.000 0.912 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.5341 0.17725 0.000 0.000 0.000 0.508 0.112 0.380
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.88897 1.000 0.000 0.000 0.000 0.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.0000 0.88638 0.000 0.000 0.000 1.000 0.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.5025 0.12736 0.000 0.000 0.000 0.492 0.072 0.436
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.88897 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 18099 rows and 453 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 0.879 0.927 0.970 0.452 0.549 0.549
#> 3 3 0.666 0.713 0.868 0.029 0.872 0.789
#> 4 4 0.645 0.804 0.872 0.192 0.857 0.755
#> 5 5 0.560 0.757 0.823 0.197 0.807 0.614
#> 6 6 0.655 0.699 0.803 0.120 0.952 0.857
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.97195 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 2 0.0376 0.95658 0.004 0.996
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.97195 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.97195 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.0000 0.95933 0.000 1.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.97195 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.97195 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.97195 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.97195 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.97195 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 2 0.6531 0.79904 0.168 0.832
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 2 0.2778 0.92282 0.048 0.952
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.0000 0.95933 0.000 1.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.95933 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.97195 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.97195 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.0000 0.95933 0.000 1.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.0000 0.95933 0.000 1.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.95933 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.97195 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.97195 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.97195 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.8861 0.56468 0.696 0.304
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.97195 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.97195 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.95933 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 2 0.0000 0.95933 0.000 1.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.97195 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.0000 0.95933 0.000 1.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.97195 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.97195 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.97195 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.97195 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.97195 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.95933 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.95933 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.0000 0.95933 0.000 1.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.97195 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.95933 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.97195 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.95933 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.97195 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.95933 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.95933 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.97195 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.97195 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.97195 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.97195 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.97195 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.97195 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.97195 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.95933 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.97195 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.97195 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.97195 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.0000 0.97195 1.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.95933 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.97195 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 2 0.7056 0.76657 0.192 0.808
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0000 0.97195 1.000 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.9460 0.42844 0.636 0.364
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.95933 0.000 1.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.0000 0.97195 1.000 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.97195 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.0000 0.95933 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.97195 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.95933 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.97195 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.95933 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.97195 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.95933 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.6531 0.79904 0.168 0.832
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.95933 0.000 1.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 2 0.9286 0.49249 0.344 0.656
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.0000 0.97195 1.000 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 2 0.0000 0.95933 0.000 1.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 2 0.0000 0.95933 0.000 1.000
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.0000 0.97195 1.000 0.000
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.9710 0.33372 0.600 0.400
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.95933 0.000 1.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.0000 0.97195 1.000 0.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0000 0.97195 1.000 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0000 0.97195 1.000 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.0000 0.97195 1.000 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0000 0.97195 1.000 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 2 0.0000 0.95933 0.000 1.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.0000 0.97195 1.000 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.0000 0.97195 1.000 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 2 0.0000 0.95933 0.000 1.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 2 0.0000 0.95933 0.000 1.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 2 0.0000 0.95933 0.000 1.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.9129 0.51356 0.672 0.328
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.0000 0.97195 1.000 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0000 0.97195 1.000 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.0000 0.97195 1.000 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0000 0.97195 1.000 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.0000 0.97195 1.000 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.0000 0.97195 1.000 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.95933 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.95933 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.95933 0.000 1.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 2 0.0000 0.95933 0.000 1.000
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.97195 1.000 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.5408 0.84635 0.876 0.124
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0000 0.97195 1.000 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 1 0.0672 0.96528 0.992 0.008
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.7745 0.70099 0.772 0.228
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.0000 0.95933 0.000 1.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.0000 0.97195 1.000 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.0000 0.97195 1.000 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 1 0.0000 0.97195 1.000 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.95933 0.000 1.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 1 0.0000 0.97195 1.000 0.000
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 1 0.0000 0.97195 1.000 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.0000 0.97195 1.000 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.95933 0.000 1.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.95933 0.000 1.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0000 0.97195 1.000 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 1 0.0000 0.97195 1.000 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.0000 0.97195 1.000 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.0000 0.97195 1.000 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.3274 0.91663 0.940 0.060
#> 998A0059-F532-4044-9C25-6D175854F963 1 0.0000 0.97195 1.000 0.000
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#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.0000 0.95933 0.000 1.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 2 0.0000 0.95933 0.000 1.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0000 0.97195 1.000 0.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.0000 0.95933 0.000 1.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.95933 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.95933 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.95933 0.000 1.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.95933 0.000 1.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.95933 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.97195 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.97195 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.5519 0.84547 0.128 0.872
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.97195 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.7745 0.70088 0.772 0.228
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.95933 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.97195 1.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.97195 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.97195 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.97195 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.0000 0.95933 0.000 1.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.0000 0.95933 0.000 1.000
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 2 0.3584 0.90486 0.068 0.932
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 2 0.8661 0.60907 0.288 0.712
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.97195 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.97195 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.97195 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 2 0.0000 0.95933 0.000 1.000
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 2 0.9909 0.24226 0.444 0.556
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.97195 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.97195 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.0000 0.95933 0.000 1.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.97195 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.2423 0.93674 0.960 0.040
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.97195 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.97195 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.97195 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.95933 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.97195 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.1633 0.95117 0.976 0.024
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.97195 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.97195 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.97195 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.97195 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.97195 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.97195 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.95933 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.97195 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.3274 0.91754 0.940 0.060
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.95933 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.97195 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.97195 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.8327 0.64036 0.736 0.264
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.97195 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.97195 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.95933 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.97195 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.95933 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.97195 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.97195 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.97195 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 2 0.0000 0.95933 0.000 1.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 2 0.9833 0.30125 0.424 0.576
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.0000 0.95933 0.000 1.000
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.97195 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.95933 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.7299 0.73685 0.796 0.204
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.95933 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.97195 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.97195 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.97195 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.97195 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.95933 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.97195 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.97195 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.97195 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.97195 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.95933 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.95933 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 2 0.0000 0.95933 0.000 1.000
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.97195 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.97195 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.7528 0.71989 0.784 0.216
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.97195 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.97195 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.97195 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.97195 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.97195 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.97195 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.97195 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.97195 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.97195 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.97195 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.95933 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.97195 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.0000 0.95933 0.000 1.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.97195 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.95933 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.97195 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.9608 0.37790 0.616 0.384
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.97195 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.97195 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.6247 0.81356 0.156 0.844
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.97195 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.97195 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.95933 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.95933 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.97195 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.97195 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.97195 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.97195 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.97195 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.97195 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.97195 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.97195 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.97195 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.3431 0.91257 0.936 0.064
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.97195 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.95933 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.97195 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.97195 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.95933 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 2 0.0938 0.95090 0.012 0.988
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.6801 0.77168 0.820 0.180
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.4298 0.88613 0.088 0.912
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0672 0.95378 0.008 0.992
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.95933 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.97195 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.97195 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.97195 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.97195 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.95933 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.97195 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.97195 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.9323 0.45548 0.652 0.348
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.97195 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.97195 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.97195 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.97195 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0237 0.9259 0.996 0.004 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.6305 0.1868 0.484 0.000 0.516
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0237 0.9259 0.996 0.004 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0475 0.9258 0.992 0.004 0.004
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0237 0.5096 0.004 0.000 0.996
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9258 1.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0475 0.9258 0.992 0.004 0.004
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0475 0.9258 0.992 0.004 0.004
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0475 0.9232 0.992 0.004 0.004
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0475 0.9258 0.992 0.004 0.004
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.6008 0.3192 0.628 0.000 0.372
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.6548 0.2840 0.616 0.012 0.372
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0237 0.5096 0.004 0.000 0.996
#> B74635F7-8705-4A16-8985-82A5A26DCC88 3 0.5988 0.0611 0.000 0.368 0.632
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0475 0.9249 0.992 0.004 0.004
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0475 0.9258 0.992 0.004 0.004
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0237 0.5096 0.004 0.000 0.996
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0237 0.5096 0.004 0.000 0.996
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.5988 0.5350 0.000 0.632 0.368
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0237 0.9250 0.996 0.000 0.004
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0475 0.9232 0.992 0.004 0.004
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.3193 0.8273 0.896 0.004 0.100
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.5560 0.4930 0.700 0.000 0.300
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0237 0.9259 0.996 0.004 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0237 0.9259 0.996 0.004 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.6095 0.5052 0.000 0.608 0.392
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0237 0.5096 0.004 0.000 0.996
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0475 0.9232 0.992 0.004 0.004
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.5098 0.4529 0.248 0.000 0.752
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0475 0.9258 0.992 0.004 0.004
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0475 0.9258 0.992 0.004 0.004
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0475 0.9258 0.992 0.004 0.004
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.6141 0.5969 0.736 0.232 0.032
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0237 0.9249 0.996 0.004 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.6521 0.3638 0.004 0.504 0.492
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.5948 0.5445 0.000 0.640 0.360
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0237 0.5096 0.004 0.000 0.996
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9258 1.000 0.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.5988 0.5350 0.000 0.632 0.368
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0475 0.9258 0.992 0.004 0.004
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0592 0.6717 0.000 0.988 0.012
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0475 0.9232 0.992 0.004 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.5431 0.2459 0.000 0.284 0.716
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0592 0.6717 0.000 0.988 0.012
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#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0237 0.9249 0.996 0.004 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.3983 0.7722 0.852 0.004 0.144
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0475 0.9258 0.992 0.004 0.004
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0475 0.9232 0.992 0.004 0.004
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0475 0.9258 0.992 0.004 0.004
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0475 0.9258 0.992 0.004 0.004
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9258 1.000 0.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0237 0.9249 0.996 0.004 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0475 0.9258 0.992 0.004 0.004
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0475 0.9258 0.992 0.004 0.004
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9258 1.000 0.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0237 0.9249 0.996 0.004 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 3 0.5591 0.2091 0.000 0.304 0.696
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0237 0.9259 0.996 0.004 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 3 0.0237 0.5096 0.004 0.000 0.996
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0237 0.9258 0.996 0.000 0.004
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 3 0.8056 -0.1140 0.068 0.400 0.532
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0237 0.9249 0.996 0.004 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.5690 0.5206 0.708 0.004 0.288
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0475 0.9258 0.992 0.004 0.004
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0237 0.9259 0.996 0.004 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 3 0.9987 0.1826 0.332 0.312 0.356
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9258 1.000 0.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0475 0.9258 0.992 0.004 0.004
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.5988 0.5350 0.000 0.632 0.368
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 3 0.6513 -0.3192 0.004 0.476 0.520
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0475 0.9258 0.992 0.004 0.004
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0475 0.9258 0.992 0.004 0.004
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0237 0.9259 0.996 0.004 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0475 0.9232 0.992 0.004 0.004
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9258 1.000 0.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9258 1.000 0.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0475 0.9258 0.992 0.004 0.004
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0475 0.9235 0.992 0.004 0.004
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.9258 1.000 0.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.4233 0.7488 0.836 0.004 0.160
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0661 0.9238 0.988 0.008 0.004
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.4178 0.3851 0.000 0.172 0.828
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.3983 0.7694 0.852 0.004 0.144
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0237 0.9259 0.996 0.004 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.6267 0.4311 0.000 0.548 0.452
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.6008 0.3132 0.628 0.000 0.372
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.3573 0.8042 0.876 0.004 0.120
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.9149 0.0783 0.144 0.440 0.416
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.8783 0.1701 0.112 0.468 0.420
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0592 0.6717 0.000 0.988 0.012
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0237 0.9259 0.996 0.004 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0475 0.9258 0.992 0.004 0.004
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0475 0.9232 0.992 0.004 0.004
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0475 0.9258 0.992 0.004 0.004
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.0237 0.5096 0.004 0.000 0.996
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0237 0.9258 0.996 0.000 0.004
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9258 1.000 0.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.7533 0.4718 0.668 0.244 0.088
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0475 0.9249 0.992 0.004 0.004
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0661 0.9251 0.988 0.004 0.008
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0661 0.9243 0.988 0.004 0.008
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0475 0.9232 0.992 0.004 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.1022 0.9049 0.968 0.000 0.000 0.032
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 3 0.4888 0.6249 0.224 0.000 0.740 0.036
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1022 0.9049 0.968 0.000 0.000 0.032
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.1022 0.9045 0.968 0.000 0.000 0.032
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1118 0.9047 0.964 0.000 0.000 0.036
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.1474 0.9031 0.948 0.000 0.000 0.052
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.1557 0.9013 0.944 0.000 0.000 0.056
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.4155 0.7587 0.756 0.000 0.004 0.240
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.1584 0.9009 0.952 0.000 0.012 0.036
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 3 0.3975 0.6291 0.240 0.000 0.760 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 3 0.4722 0.5567 0.300 0.000 0.692 0.008
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> B74635F7-8705-4A16-8985-82A5A26DCC88 3 0.6205 0.6348 0.000 0.136 0.668 0.196
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.1211 0.9059 0.960 0.000 0.000 0.040
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0657 0.9048 0.984 0.000 0.004 0.012
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> BD213FB6-2DB9-4955-B061-4CD47604176B 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 3 0.4008 0.6686 0.000 0.244 0.756 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.2048 0.8909 0.928 0.000 0.008 0.064
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3982 0.7779 0.776 0.000 0.004 0.220
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4220 0.7506 0.748 0.000 0.004 0.248
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.5759 0.6926 0.688 0.000 0.080 0.232
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1302 0.9036 0.956 0.000 0.000 0.044
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.1489 0.9054 0.952 0.000 0.004 0.044
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 3 0.4008 0.6686 0.000 0.244 0.756 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.4188 0.7546 0.752 0.000 0.004 0.244
#> 54F31962-F589-4C36-B597-3965989EA02E 3 0.4250 0.2610 0.000 0.000 0.724 0.276
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0707 0.9061 0.980 0.000 0.000 0.020
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.1557 0.9013 0.944 0.000 0.000 0.056
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.1211 0.9045 0.960 0.000 0.000 0.040
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.5475 0.4335 0.656 0.000 0.308 0.036
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.4188 0.7546 0.752 0.000 0.004 0.244
#> 141CECEC-2118-4805-9DD0-67F13620674D 3 0.2654 0.6760 0.000 0.108 0.888 0.004
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 3 0.4277 0.6411 0.000 0.280 0.720 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.1902 0.8883 0.932 0.000 0.004 0.064
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 3 0.4072 0.6620 0.000 0.252 0.748 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.2131 0.8932 0.932 0.000 0.032 0.036
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2266 0.8793 0.912 0.000 0.004 0.084
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.4511 0.6349 0.000 0.008 0.724 0.268
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.1557 0.9013 0.944 0.000 0.000 0.056
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1004 0.9049 0.972 0.000 0.004 0.024
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.1209 0.9059 0.964 0.000 0.004 0.032
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0707 0.9067 0.980 0.000 0.000 0.020
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0921 0.9048 0.972 0.000 0.000 0.028
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.2131 0.8913 0.932 0.000 0.032 0.036
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.1004 0.9049 0.972 0.000 0.004 0.024
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0188 0.9365 0.000 0.996 0.004 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.1118 0.9049 0.964 0.000 0.000 0.036
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.2313 0.8874 0.924 0.000 0.044 0.032
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0524 0.9031 0.988 0.000 0.004 0.008
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.2060 0.8886 0.932 0.000 0.052 0.016
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 3 0.4008 0.6686 0.000 0.244 0.756 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.4188 0.7546 0.752 0.000 0.004 0.244
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.5529 0.6944 0.140 0.104 0.748 0.008
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.0779 0.9034 0.980 0.000 0.004 0.016
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.5227 0.7178 0.704 0.000 0.040 0.256
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 1 0.1302 0.9036 0.956 0.000 0.000 0.044
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.2125 0.8835 0.920 0.000 0.004 0.076
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 3 0.2281 0.5133 0.000 0.000 0.904 0.096
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.2197 0.8945 0.928 0.000 0.024 0.048
#> E8473ED9-6800-426B-977F-E928065BE475 3 0.4372 0.6354 0.000 0.004 0.728 0.268
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0779 0.9034 0.980 0.000 0.004 0.016
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.1902 0.8884 0.932 0.000 0.004 0.064
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 3 0.2019 0.6657 0.032 0.024 0.940 0.004
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 3 0.5529 0.6949 0.140 0.104 0.748 0.008
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 3 0.4546 0.5964 0.000 0.012 0.732 0.256
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6551 0.6036 0.624 0.000 0.136 0.240
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.1022 0.9049 0.968 0.000 0.000 0.032
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.4372 0.6354 0.000 0.004 0.728 0.268
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.3982 0.6802 0.000 0.220 0.776 0.004
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 1 0.1888 0.8902 0.940 0.000 0.044 0.016
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5964 0.6790 0.676 0.000 0.096 0.228
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 1 0.2660 0.8779 0.908 0.000 0.056 0.036
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.0592 0.9063 0.984 0.000 0.000 0.016
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.0707 0.9053 0.980 0.000 0.000 0.020
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.1022 0.9049 0.968 0.000 0.000 0.032
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.4220 0.7506 0.748 0.000 0.004 0.248
#> A47F637F-EB28-4108-98C8-FB4725310FA0 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 1 0.1022 0.9048 0.968 0.000 0.000 0.032
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.1584 0.9009 0.952 0.000 0.012 0.036
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 4 0.4543 0.9980 0.000 0.000 0.324 0.676
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.5170 0.7357 0.724 0.000 0.048 0.228
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 1 0.1302 0.9036 0.956 0.000 0.000 0.044
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1022 0.9050 0.968 0.000 0.000 0.032
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.1211 0.9045 0.960 0.000 0.000 0.040
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.4122 0.7627 0.760 0.000 0.004 0.236
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 1 0.1389 0.9031 0.952 0.000 0.000 0.048
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.1557 0.9013 0.944 0.000 0.000 0.056
#> D71511DC-6387-4B55-BA92-3395ADB363FE 3 0.5367 0.6047 0.000 0.304 0.664 0.032
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 3 0.4454 0.6173 0.000 0.308 0.692 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 3 0.1930 0.6700 0.056 0.004 0.936 0.004
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.1557 0.9013 0.944 0.000 0.000 0.056
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.3171 0.8456 0.876 0.004 0.104 0.016
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.0921 0.9050 0.972 0.000 0.000 0.028
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#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.4360 0.6092 0.000 0.008 0.744 0.248
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.4188 0.7546 0.752 0.000 0.004 0.244
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.1452 0.9017 0.956 0.000 0.036 0.008
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 3 0.3105 0.6843 0.000 0.140 0.856 0.004
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.4919 0.7515 0.752 0.000 0.200 0.048
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4088 0.7668 0.764 0.000 0.004 0.232
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 3 0.4990 0.7057 0.060 0.184 0.756 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 3 0.4956 0.7045 0.056 0.188 0.756 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9395 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1022 0.9049 0.968 0.000 0.000 0.032
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.2131 0.8913 0.932 0.000 0.032 0.036
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.2530 0.8706 0.896 0.000 0.004 0.100
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.2131 0.8913 0.932 0.000 0.032 0.036
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.3123 0.4109 0.000 0.000 0.844 0.156
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.2124 0.8922 0.932 0.000 0.040 0.028
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.1118 0.9047 0.964 0.000 0.000 0.036
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 3 0.5321 0.6000 0.272 0.020 0.696 0.012
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1302 0.9048 0.956 0.000 0.000 0.044
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1211 0.9045 0.960 0.000 0.000 0.040
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.2227 0.8890 0.928 0.000 0.036 0.036
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4018 0.7743 0.772 0.000 0.004 0.224
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.2127 0.8014 0.108 0.000 0.000 0.892 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.4370 0.7506 0.168 0.000 0.004 0.064 0.764
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.1908 0.8073 0.092 0.000 0.000 0.908 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.1965 0.8020 0.096 0.000 0.000 0.904 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.2020 0.8047 0.100 0.000 0.000 0.900 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.1732 0.8069 0.080 0.000 0.000 0.920 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.1270 0.8198 0.052 0.000 0.000 0.948 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.3949 0.9098 0.668 0.000 0.000 0.332 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.1544 0.8138 0.068 0.000 0.000 0.932 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4412 0.7382 0.164 0.000 0.000 0.080 0.756
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.4199 0.7482 0.160 0.000 0.000 0.068 0.772
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 5 0.3048 0.7003 0.004 0.176 0.000 0.000 0.820
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.1043 0.8117 0.040 0.000 0.000 0.960 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.1410 0.8033 0.060 0.000 0.000 0.940 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.1357 0.8795 0.004 0.000 0.948 0.000 0.048
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.1043 0.7827 0.000 0.040 0.000 0.000 0.960
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.4909 0.6710 0.588 0.000 0.000 0.380 0.032
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.3983 0.9077 0.660 0.000 0.000 0.340 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.3932 0.9093 0.672 0.000 0.000 0.328 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.3684 0.8573 0.720 0.000 0.000 0.280 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0290 0.8199 0.008 0.000 0.000 0.992 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.1965 0.7963 0.096 0.000 0.000 0.904 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.1043 0.7827 0.000 0.040 0.000 0.000 0.960
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.6008 0.6474 0.200 0.000 0.216 0.000 0.584
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.0703 0.8161 0.024 0.000 0.000 0.976 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.1908 0.8049 0.092 0.000 0.000 0.908 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.2020 0.8019 0.100 0.000 0.000 0.900 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.5519 0.4984 0.148 0.000 0.000 0.648 0.204
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1205 0.7806 0.004 0.000 0.040 0.000 0.956
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.3242 0.6912 0.000 0.216 0.000 0.000 0.784
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.2690 0.7062 0.156 0.000 0.000 0.844 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1043 0.7827 0.000 0.040 0.000 0.000 0.960
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.3305 0.6963 0.224 0.000 0.000 0.776 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.4210 0.8496 0.588 0.000 0.000 0.412 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.3453 0.7398 0.136 0.020 0.012 0.000 0.832
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.1341 0.8184 0.056 0.000 0.000 0.944 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.2179 0.7951 0.112 0.000 0.000 0.888 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.2074 0.8041 0.104 0.000 0.000 0.896 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2020 0.8078 0.100 0.000 0.000 0.900 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.1732 0.8046 0.080 0.000 0.000 0.920 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3305 0.6956 0.224 0.000 0.000 0.776 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.2329 0.7908 0.124 0.000 0.000 0.876 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.2127 0.8014 0.108 0.000 0.000 0.892 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.2690 0.7543 0.156 0.000 0.000 0.844 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.1544 0.7999 0.068 0.000 0.000 0.932 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.4964 0.5789 0.204 0.000 0.000 0.700 0.096
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.0451 0.7832 0.004 0.008 0.000 0.000 0.988
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.2769 0.7870 0.092 0.000 0.000 0.032 0.876
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.2074 0.7741 0.104 0.000 0.000 0.896 0.000
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.3932 0.9097 0.672 0.000 0.000 0.328 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.0963 0.8214 0.036 0.000 0.000 0.964 0.000
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.4138 0.8721 0.616 0.000 0.000 0.384 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 5 0.5283 0.6980 0.124 0.000 0.204 0.000 0.672
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.2561 0.7756 0.144 0.000 0.000 0.856 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.3317 0.7878 0.116 0.000 0.044 0.000 0.840
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.1671 0.8000 0.076 0.000 0.000 0.924 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 4 0.4182 -0.3546 0.400 0.000 0.000 0.600 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.2632 0.7879 0.072 0.000 0.040 0.000 0.888
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.3379 0.7915 0.076 0.040 0.000 0.024 0.860
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 5 0.3456 0.6880 0.004 0.004 0.204 0.000 0.788
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.6541 0.4760 0.480 0.000 0.000 0.256 0.264
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.2020 0.8047 0.100 0.000 0.000 0.900 0.000
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.3756 0.7081 0.248 0.000 0.008 0.000 0.744
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.1043 0.7827 0.000 0.040 0.000 0.000 0.960
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.3048 0.7334 0.176 0.000 0.000 0.820 0.004
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.5480 0.7783 0.616 0.000 0.000 0.288 0.096
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.3579 0.6713 0.240 0.000 0.000 0.756 0.004
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.1410 0.8111 0.060 0.000 0.000 0.940 0.000
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.2127 0.8007 0.108 0.000 0.000 0.892 0.000
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.1965 0.8061 0.096 0.000 0.000 0.904 0.000
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.1908 0.8052 0.092 0.000 0.000 0.908 0.000
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.1732 0.8112 0.080 0.000 0.000 0.920 0.000
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0000 0.9331 0.000 0.000 1.000 0.000 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.0162 0.9303 0.004 0.000 0.996 0.000 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.3932 0.9084 0.672 0.000 0.000 0.328 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.1965 0.7963 0.096 0.000 0.000 0.904 0.000
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.2074 0.8032 0.104 0.000 0.000 0.896 0.000
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.2074 0.8034 0.104 0.000 0.000 0.896 0.000
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.1792 0.8048 0.084 0.000 0.000 0.916 0.000
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.1478 0.8172 0.064 0.000 0.000 0.936 0.000
#> D71511DC-6387-4B55-BA92-3395ADB363FE 5 0.3048 0.7003 0.004 0.176 0.000 0.000 0.820
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 5 0.3242 0.6912 0.000 0.216 0.000 0.000 0.784
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.1444 0.7821 0.012 0.000 0.040 0.000 0.948
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.1544 0.8165 0.068 0.000 0.000 0.932 0.000
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.6566 0.1842 0.380 0.000 0.000 0.204 0.416
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.1965 0.8083 0.096 0.000 0.000 0.904 0.000
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.5155 0.5668 0.140 0.000 0.000 0.692 0.168
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.3707 0.8613 0.716 0.000 0.000 0.284 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.0162 0.7822 0.004 0.000 0.000 0.000 0.996
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.0880 0.8210 0.032 0.000 0.000 0.968 0.000
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.2020 0.7914 0.100 0.000 0.000 0.900 0.000
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.2020 0.7951 0.100 0.000 0.000 0.900 0.000
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.5644 0.4745 0.228 0.000 0.000 0.628 0.144
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.1792 0.8028 0.084 0.000 0.000 0.916 0.000
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.3336 0.5344 0.228 0.000 0.000 0.772 0.000
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.1478 0.8960 0.000 0.936 0.000 0.000 0.064
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.3949 0.9107 0.668 0.000 0.000 0.332 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.3274 0.7001 0.220 0.000 0.000 0.780 0.000
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 4 0.0963 0.8116 0.036 0.000 0.000 0.964 0.000
#> 83867921-8D7C-41AE-9292-010EECA0C186 4 0.1608 0.7907 0.072 0.000 0.000 0.928 0.000
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.3932 0.9094 0.672 0.000 0.000 0.328 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.2516 0.7789 0.140 0.000 0.000 0.860 0.000
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.5028 0.7829 0.668 0.000 0.000 0.260 0.072
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.1121 0.8214 0.044 0.000 0.000 0.956 0.000
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 4 0.4428 0.6632 0.160 0.000 0.000 0.756 0.084
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.1792 0.8028 0.084 0.000 0.000 0.916 0.000
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.9599 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.4242 0.8283 0.572 0.000 0.000 0.428 0.000
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.1197 0.8201 0.048 0.000 0.000 0.952 0.000
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 5 0.3048 0.7003 0.004 0.176 0.000 0.000 0.820
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.1908 0.8017 0.092 0.000 0.000 0.908 0.000
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#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.3177 0.7133 0.208 0.000 0.000 0.792 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4088 0.8923 0.632 0.000 0.000 0.368 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.2127 0.7939 0.108 0.000 0.000 0.892 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 5 0.5059 0.6571 0.076 0.000 0.256 0.000 0.668
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.2813 0.7466 0.168 0.000 0.000 0.832 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.1908 0.8073 0.092 0.000 0.000 0.908 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.6239 0.2231 0.144 0.000 0.000 0.404 0.452
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.1121 0.8174 0.044 0.000 0.000 0.956 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.1908 0.8079 0.092 0.000 0.000 0.908 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3242 0.7038 0.216 0.000 0.000 0.784 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.4015 0.8968 0.652 0.000 0.000 0.348 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.3772 0.64042 0.000 0.000 0.008 0.040 0.772 NA
#> 1562153C-AC2E-4094-A936-75CC580367A9 4 0.3912 0.64300 0.012 0.000 0.000 0.648 0.000 NA
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.2301 0.78806 0.020 0.000 0.000 0.884 0.000 NA
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.0858 0.80104 0.004 0.000 0.000 0.968 0.000 NA
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.2558 0.76036 0.004 0.000 0.000 0.840 0.000 NA
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0260 0.85853 0.992 0.000 0.000 0.008 0.000 NA
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.1794 0.80580 0.036 0.000 0.000 0.924 0.000 NA
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.4214 0.60903 0.004 0.000 0.000 0.076 0.736 NA
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.5055 0.52113 0.004 0.000 0.000 0.160 0.652 NA
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> B74635F7-8705-4A16-8985-82A5A26DCC88 5 0.4293 0.53969 0.000 0.016 0.004 0.000 0.584 NA
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.4272 0.45044 0.288 0.000 0.000 0.668 0.000 NA
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.1930 0.80504 0.048 0.000 0.000 0.916 0.000 NA
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.2164 0.85187 0.000 0.000 0.900 0.000 0.032 NA
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.0972 0.68801 0.000 0.008 0.000 0.000 0.964 NA
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5749 0.58450 0.632 0.000 0.000 0.188 0.064 NA
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1320 0.85234 0.948 0.000 0.000 0.016 0.000 NA
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0291 0.85755 0.992 0.000 0.000 0.004 0.000 NA
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.2371 0.82350 0.900 0.000 0.000 0.016 0.032 NA
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.0858 0.80026 0.004 0.000 0.000 0.968 0.000 NA
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.2320 0.77571 0.004 0.000 0.000 0.864 0.000 NA
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 5 0.1124 0.68703 0.000 0.008 0.000 0.000 0.956 NA
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.7052 0.34649 0.196 0.000 0.228 0.000 0.460 NA
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.1930 0.80230 0.036 0.000 0.000 0.916 0.000 NA
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.1267 0.79547 0.000 0.000 0.000 0.940 0.000 NA
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.2199 0.79069 0.020 0.000 0.000 0.892 0.000 NA
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.4795 0.65495 0.012 0.000 0.000 0.696 0.112 NA
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.1926 0.68492 0.000 0.000 0.020 0.000 0.912 NA
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 5 0.4794 0.43052 0.004 0.320 0.004 0.000 0.620 NA
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 4 0.4150 0.40411 0.392 0.000 0.000 0.592 0.000 NA
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 5 0.1649 0.68435 0.000 0.036 0.000 0.000 0.932 NA
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.3757 0.73045 0.020 0.000 0.000 0.776 0.024 NA
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2119 0.84507 0.904 0.000 0.000 0.036 0.000 NA
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 5 0.3890 0.54564 0.004 0.000 0.000 0.000 0.596 NA
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.3215 0.71645 0.004 0.000 0.000 0.756 0.000 NA
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 4 0.3865 0.74476 0.056 0.000 0.000 0.752 0.000 NA
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.5715 0.29808 0.300 0.000 0.000 0.536 0.008 NA
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.2934 0.78470 0.044 0.000 0.000 0.844 0.000 NA
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.1528 0.79962 0.016 0.000 0.000 0.936 0.000 NA
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.3002 0.77102 0.020 0.000 0.000 0.836 0.008 NA
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 4 0.4191 0.68956 0.040 0.000 0.000 0.676 0.000 NA
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0146 0.93445 0.000 0.996 0.000 0.000 0.000 NA
#> 107E8633-7381-401E-80CF-E0D342726F81 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.3080 0.79057 0.040 0.000 0.000 0.848 0.012 NA
#> 4336561F-B08B-401A-A016-28DD31DA97DA 4 0.2965 0.78858 0.080 0.000 0.000 0.848 0.000 NA
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 4 0.5546 0.64588 0.104 0.000 0.000 0.656 0.064 NA
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 5 0.1075 0.68718 0.000 0.000 0.000 0.000 0.952 NA
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 5 0.2613 0.66967 0.000 0.000 0.000 0.012 0.848 NA
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 4 0.4913 0.50470 0.296 0.000 0.000 0.612 0.000 NA
#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.0865 0.79873 0.000 0.000 0.000 0.964 0.000 NA
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.3062 0.77265 0.824 0.000 0.000 0.144 0.000 NA
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 5 0.4085 0.64408 0.000 0.000 0.096 0.000 0.748 NA
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.2886 0.76794 0.016 0.000 0.000 0.836 0.004 NA
#> E8473ED9-6800-426B-977F-E928065BE475 5 0.4788 0.56472 0.016 0.004 0.032 0.000 0.624 NA
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.3241 0.78481 0.064 0.000 0.000 0.824 0.000 NA
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.4067 0.70205 0.728 0.000 0.000 0.212 0.000 NA
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.2542 0.67677 0.000 0.000 0.044 0.000 0.876 NA
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 5 0.3638 0.64105 0.000 0.008 0.000 0.036 0.784 NA
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 5 0.5228 0.52509 0.000 0.012 0.080 0.000 0.580 NA
#> 695D5BEB-C772-4964-ACDD-577ECA532623 1 0.4989 0.22808 0.568 0.000 0.000 0.004 0.360 NA
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 5 0.4150 0.54884 0.016 0.000 0.000 0.000 0.592 NA
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.0972 0.68801 0.000 0.008 0.000 0.000 0.964 NA
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.4980 0.67383 0.040 0.000 0.000 0.700 0.084 NA
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.4637 0.72282 0.752 0.000 0.000 0.096 0.080 NA
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.4236 0.70446 0.016 0.000 0.000 0.744 0.056 NA
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.3909 0.72220 0.036 0.000 0.000 0.720 0.000 NA
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.3821 0.73567 0.040 0.000 0.000 0.740 0.000 NA
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.2890 0.77468 0.024 0.000 0.000 0.844 0.004 NA
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.1421 0.80625 0.028 0.000 0.000 0.944 0.000 NA
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0146 0.92270 0.000 0.000 0.996 0.000 0.004 NA
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.1411 0.88479 0.000 0.000 0.936 0.000 0.004 NA
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.1882 0.84810 0.928 0.000 0.000 0.024 0.020 NA
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.0937 0.80037 0.000 0.000 0.000 0.960 0.000 NA
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.0865 0.79951 0.000 0.000 0.000 0.964 0.000 NA
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 4 0.1765 0.78330 0.000 0.000 0.000 0.904 0.000 NA
#> D71511DC-6387-4B55-BA92-3395ADB363FE 5 0.5357 0.52450 0.000 0.132 0.004 0.000 0.584 NA
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 5 0.4405 0.49980 0.004 0.272 0.004 0.000 0.680 NA
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.0508 0.69049 0.000 0.000 0.004 0.000 0.984 NA
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 4 0.2738 0.75450 0.004 0.000 0.000 0.820 0.000 NA
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.7482 -0.04192 0.356 0.000 0.000 0.180 0.288 NA
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 4 0.4152 0.67670 0.032 0.000 0.000 0.664 0.000 NA
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.4575 0.70240 0.028 0.000 0.000 0.728 0.068 NA
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.1297 0.84780 0.948 0.000 0.000 0.012 0.000 NA
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 5 0.2300 0.67394 0.000 0.000 0.000 0.000 0.856 NA
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.0547 0.80216 0.000 0.000 0.000 0.980 0.000 NA
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 4 0.4380 0.71786 0.080 0.000 0.000 0.700 0.000 NA
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.2020 0.78918 0.008 0.000 0.000 0.896 0.000 NA
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.5250 0.62474 0.036 0.000 0.000 0.672 0.112 NA
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.0458 0.80168 0.000 0.000 0.000 0.984 0.000 NA
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 1 0.2597 0.75413 0.824 0.000 0.000 0.176 0.000 NA
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0551 0.92703 0.004 0.984 0.004 0.000 0.000 NA
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0837 0.91652 0.004 0.972 0.004 0.000 0.000 NA
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 4 0.3611 0.73911 0.020 0.000 0.000 0.788 0.020 NA
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 4 0.1701 0.79635 0.072 0.000 0.000 0.920 0.000 NA
#> 83867921-8D7C-41AE-9292-010EECA0C186 4 0.4808 0.04136 0.408 0.000 0.000 0.536 0.000 NA
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.0146 0.85891 0.996 0.000 0.000 0.004 0.000 NA
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.2199 0.79144 0.020 0.000 0.000 0.892 0.000 NA
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 1 0.3230 0.79368 0.852 0.000 0.000 0.036 0.052 NA
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.2838 0.74335 0.004 0.000 0.000 0.808 0.000 NA
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 4 0.5146 0.61154 0.016 0.000 0.000 0.664 0.140 NA
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.0632 0.80096 0.000 0.000 0.000 0.976 0.000 NA
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.2888 0.81984 0.852 0.000 0.000 0.092 0.000 NA
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 4 0.2595 0.76183 0.004 0.000 0.000 0.836 0.000 NA
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 5 0.4293 0.53969 0.000 0.016 0.004 0.000 0.584 NA
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.0858 0.80141 0.004 0.000 0.000 0.968 0.000 NA
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 5 0.0692 0.69063 0.000 0.000 0.004 0.000 0.976 NA
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.0909 0.85531 0.968 0.000 0.000 0.012 0.000 NA
#> 12044D3F-7988-4103-AE9F-BEE383D413FC 1 0.4620 0.20989 0.532 0.000 0.000 0.428 0.000 NA
#> FCE021B8-101C-418D-B771-0D6C6EFE2306 1 0.3912 0.51401 0.648 0.000 0.000 0.340 0.000 NA
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#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.1124 0.85552 0.956 0.000 0.000 0.036 0.000 NA
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 5 0.1866 0.68390 0.000 0.008 0.000 0.000 0.908 NA
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 5 0.1757 0.68576 0.000 0.008 0.000 0.000 0.916 NA
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.93784 0.000 1.000 0.000 0.000 0.000 NA
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 4 0.3927 0.63924 0.012 0.000 0.000 0.644 0.000 NA
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.2790 0.77085 0.020 0.000 0.000 0.840 0.000 NA
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1003 0.85821 0.964 0.000 0.000 0.020 0.000 NA
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.2088 0.80187 0.028 0.000 0.000 0.904 0.000 NA
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 5 0.5757 0.32494 0.000 0.000 0.320 0.000 0.488 NA
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.3414 0.77329 0.040 0.000 0.000 0.812 0.008 NA
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 4 0.4012 0.64065 0.016 0.000 0.000 0.640 0.000 NA
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.5952 0.26609 0.004 0.004 0.000 0.492 0.320 NA
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 4 0.3794 0.57401 0.216 0.000 0.000 0.744 0.000 NA
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.3819 0.66406 0.012 0.000 0.000 0.672 0.000 NA
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.3141 0.76760 0.020 0.000 0.000 0.828 0.012 NA
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.1563 0.84481 0.932 0.000 0.000 0.012 0.000 NA
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 18099 rows and 453 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.981 0.952 0.981 0.3929 0.612 0.612
#> 3 3 0.754 0.862 0.933 0.6006 0.706 0.540
#> 4 4 0.670 0.723 0.870 0.1230 0.719 0.399
#> 5 5 0.575 0.568 0.769 0.0795 0.914 0.725
#> 6 6 0.566 0.510 0.721 0.0528 0.885 0.598
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
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0000 0.9832 1.000 0.000
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9832 1.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0000 0.9832 1.000 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9832 1.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.0000 0.9727 0.000 1.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.9832 1.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9832 1.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9832 1.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0000 0.9832 1.000 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9832 1.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.6973 0.7619 0.812 0.188
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.8661 0.5860 0.712 0.288
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.0000 0.9727 0.000 1.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9727 0.000 1.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.0000 0.9832 1.000 0.000
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.0000 0.9832 1.000 0.000
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 1 0.9732 0.3164 0.596 0.404
#> BD213FB6-2DB9-4955-B061-4CD47604176B 2 0.0000 0.9727 0.000 1.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9727 0.000 1.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.0000 0.9832 1.000 0.000
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.0000 0.9832 1.000 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.0000 0.9832 1.000 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.0000 0.9832 1.000 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.0000 0.9832 1.000 0.000
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9832 1.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9727 0.000 1.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.0000 0.9832 1.000 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.0000 0.9832 1.000 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 1 0.9988 0.0640 0.520 0.480
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.0000 0.9832 1.000 0.000
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9832 1.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9832 1.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.9832 1.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.0000 0.9832 1.000 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9727 0.000 1.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9727 0.000 1.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.0000 0.9727 0.000 1.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0000 0.9832 1.000 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9727 0.000 1.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9832 1.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9727 0.000 1.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0000 0.9832 1.000 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.0000 0.9727 0.000 1.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9727 0.000 1.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.0000 0.9832 1.000 0.000
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.9832 1.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 1 0.0000 0.9832 1.000 0.000
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.0000 0.9832 1.000 0.000
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 1 0.0000 0.9832 1.000 0.000
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 1 0.0000 0.9832 1.000 0.000
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0000 0.9832 1.000 0.000
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.9727 0.000 1.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.0000 0.9832 1.000 0.000
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 1 0.0000 0.9832 1.000 0.000
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0000 0.9832 1.000 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.0000 0.9832 1.000 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.9727 0.000 1.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0000 0.9832 1.000 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 1 0.9170 0.4999 0.668 0.332
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#> 024513A5-FF28-44F9-9683-8A545557A64E 1 0.0000 0.9832 1.000 0.000
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#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 1 0.0000 0.9832 1.000 0.000
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.0000 0.9727 0.000 1.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 1 0.0000 0.9832 1.000 0.000
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.9727 0.000 1.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 1 0.0000 0.9832 1.000 0.000
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.9727 0.000 1.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0000 0.9832 1.000 0.000
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.0000 0.9727 0.000 1.000
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 1 0.6623 0.7829 0.828 0.172
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#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.9727 0.000 1.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.9727 0.000 1.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.9727 0.000 1.000
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#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0000 0.9832 1.000 0.000
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#> 176C5101-10B5-4B9E-8ECE-8D07F68E7608 1 0.1843 0.9564 0.972 0.028
#> E0053297-AB5D-4580-9328-7C3743E9CB14 2 0.0000 0.9727 0.000 1.000
#> 64DE217D-A810-481E-A654-7D1B36D2858E 2 0.0000 0.9727 0.000 1.000
#> C171C3CC-30ED-4D69-944A-9BCA61540D49 1 0.0000 0.9832 1.000 0.000
#> AFE2E1FF-0118-47DC-84BE-7E3A34CE7234 2 0.0000 0.9727 0.000 1.000
#> 9B0FFB70-FD86-4B75-B147-D5EAB2075F88 2 0.0000 0.9727 0.000 1.000
#> EC75262B-891E-4A82-BA72-17AC3E90C6B4 2 0.0000 0.9727 0.000 1.000
#> 07F32EDF-4B00-4653-A8BF-FF651E882C32 2 0.0000 0.9727 0.000 1.000
#> 736C4716-59E2-4AFE-A089-9335EC3EEA82 2 0.0000 0.9727 0.000 1.000
#> AFC903BD-D8F6-4E1E-90CD-BB0AF5D1156B 2 0.0000 0.9727 0.000 1.000
#> F8FFABED-DCA1-4F79-B21F-C82D6DA482CF 1 0.0000 0.9832 1.000 0.000
#> 058F42C2-82B5-4F04-AA50-2FA3FC2DA7A4 1 0.0000 0.9832 1.000 0.000
#> 4DB42A1B-538B-4C4B-9A07-F8AF3336DFDE 2 0.7056 0.7584 0.192 0.808
#> 527F2CC9-6752-4F59-926E-1408BEDBECE8 1 0.0000 0.9832 1.000 0.000
#> 1D412CF0-A1E3-4D9B-810A-755171664B09 1 0.0000 0.9832 1.000 0.000
#> 80FA51BB-3186-4A64-BB5D-17165C7BBC9B 2 0.0000 0.9727 0.000 1.000
#> 494D71B2-79C1-4183-9E49-8D1C198C3E8E 1 0.0000 0.9832 1.000 0.000
#> 2277D13A-3064-44F5-8C27-ABE3A5E0FBA9 1 0.0000 0.9832 1.000 0.000
#> 9E9640CE-68E4-402B-87B4-805A425009B2 1 0.0000 0.9832 1.000 0.000
#> C85FC824-4F76-48A7-A5B9-D16AA8880530 1 0.0000 0.9832 1.000 0.000
#> 656A8DD4-5421-4F6A-ACF2-24201F775B32 2 0.0000 0.9727 0.000 1.000
#> 8C9AC68D-FDDA-47AF-ACD9-2EEFA15EC2E5 2 0.9850 0.2602 0.428 0.572
#> 5E190BEA-352F-4277-8896-B96FE1051CEF 1 0.0000 0.9832 1.000 0.000
#> 0392F233-BB1B-4243-81A1-02F4ADDE51EC 1 0.9983 0.0788 0.524 0.476
#> 5229E600-A4EC-47BF-8568-FD7B89E5F776 1 0.0000 0.9832 1.000 0.000
#> C4FA32C7-62AC-4E04-BD07-10C812F504E5 1 0.0000 0.9832 1.000 0.000
#> 67097304-E22B-41D7-803C-B6F522DA4390 1 0.0000 0.9832 1.000 0.000
#> 819D3078-9956-4C41-93C5-973B88158FDF 1 0.9580 0.3827 0.620 0.380
#> FF94F98A-8A7D-4BBA-B086-736442ED9A11 1 0.5629 0.8390 0.868 0.132
#> 8056C717-AB84-43FA-8EC6-E85B5FEE2007 1 0.0000 0.9832 1.000 0.000
#> 06559D18-E45E-4697-BCDB-C781BCF71327 1 0.0000 0.9832 1.000 0.000
#> 3E3DA11E-14DF-49EF-BDE6-4304E8D518FD 2 0.0000 0.9727 0.000 1.000
#> 13A31E81-1182-4A62-854E-F47911390CA5 1 0.0000 0.9832 1.000 0.000
#> A34DA551-1DEA-42EA-9FE8-6581E1D51EB8 1 0.0000 0.9832 1.000 0.000
#> C1CAE1C6-E8E0-4721-995A-3DA28F71DE40 1 0.0000 0.9832 1.000 0.000
#> C904A7C2-E596-46E0-9DFA-9D53475313EB 1 0.0000 0.9832 1.000 0.000
#> A21509FA-2483-45D8-BCFF-84000C5A3E96 1 0.0000 0.9832 1.000 0.000
#> C0EB2D32-D2CA-494C-B571-A5AD4DC70014 2 0.0000 0.9727 0.000 1.000
#> ABEE1D65-A98E-4FB0-8F15-2E2C094CCEB3 1 0.0000 0.9832 1.000 0.000
#> D336B440-AEFF-428A-B92D-A4315400B199 1 0.0000 0.9832 1.000 0.000
#> 17CE19AF-3F47-47A1-80F9-7AEBDED05B19 1 0.0000 0.9832 1.000 0.000
#> 30F1F921-CB9F-4850-B695-17003B532B96 1 0.0000 0.9832 1.000 0.000
#> 568EB516-7103-4BE2-BB92-052FF5C7D095 1 0.0000 0.9832 1.000 0.000
#> F9750D35-224B-463F-ADCA-26E2ED1BDD5B 1 0.0000 0.9832 1.000 0.000
#> 73B6FD4C-8A12-496C-9869-4EEAAD9B964C 1 0.0000 0.9832 1.000 0.000
#> 46859620-8B87-4425-835F-7960023E4B07 1 0.0000 0.9832 1.000 0.000
#> 28272B35-6498-4363-8B1C-E16B15B4A6C9 2 0.0000 0.9727 0.000 1.000
#> D39DAFC6-DFD3-42BF-BFC7-6B164AEAC01A 1 0.0000 0.9832 1.000 0.000
#> ACCF3881-CFB5-413C-A333-8616C100B1BE 1 0.0000 0.9832 1.000 0.000
#> 3DF2F8DB-608A-4758-98DD-964DB26E6293 2 0.0000 0.9727 0.000 1.000
#> EFA1523C-854D-4358-B6B6-4106D0B0FD0D 1 0.0000 0.9832 1.000 0.000
#> E1B1C393-1FAE-4EC6-A9B1-9446063FEFCC 1 0.0000 0.9832 1.000 0.000
#> 89323D3F-7B59-4F2F-B22C-2EDDE09B2925 1 0.0000 0.9832 1.000 0.000
#> F075EE4E-E0FF-4660-AEFD-BA98ECE71E78 1 0.0000 0.9832 1.000 0.000
#> A6C8B173-D34D-42D1-BFF7-9FDB4841101F 1 0.0000 0.9832 1.000 0.000
#> 3F79FC21-B181-42FE-914B-CC298BD72343 2 0.0000 0.9727 0.000 1.000
#> A4829F4A-6301-45DB-9BA8-FB911ACCAB92 1 0.0000 0.9832 1.000 0.000
#> D7568BF1-3DFC-42C9-B58D-ED321045621E 2 0.0000 0.9727 0.000 1.000
#> AFA1DD8B-39B1-432E-9976-5D2CF0B4212C 1 0.0000 0.9832 1.000 0.000
#> A362772F-7F3C-4FF9-8E79-261FA1EF1EC5 1 0.0000 0.9832 1.000 0.000
#> 66A204CA-A7C4-4EE0-9F17-7C78AC8BA4E1 1 0.0000 0.9832 1.000 0.000
#> 744E50C1-4313-4BC7-BD37-F14D2DB3D1BB 1 0.0000 0.9832 1.000 0.000
#> F06A1861-0B06-4EC3-8D5C-ABFA415AB745 1 0.2603 0.9401 0.956 0.044
#> FF7C0E61-197B-4BE8-9971-918F9FB77C53 2 0.8144 0.6623 0.252 0.748
#> ABAF7694-F260-4509-99DB-82449EC507CE 1 0.0000 0.9832 1.000 0.000
#> CEFDFF80-861E-40BD-900C-F779BD3D86F2 2 0.0000 0.9727 0.000 1.000
#> B35B23E1-EDB3-4A59-96AD-C52B69024F0B 1 0.0000 0.9832 1.000 0.000
#> CD3E0D41-F6A1-493C-90D1-8F0D5DCBC878 2 0.0000 0.9727 0.000 1.000
#> A542B5C3-DF0F-424E-9BA2-9367D7ADCF40 1 0.0000 0.9832 1.000 0.000
#> 2A54F9BE-5243-40CF-84A0-68970589DA34 1 0.0000 0.9832 1.000 0.000
#> AFF86134-7842-4C68-88DE-5E26EB6FB6D6 1 0.0000 0.9832 1.000 0.000
#> 0F64C093-1194-4DBD-AB73-CD72EA522198 1 0.0000 0.9832 1.000 0.000
#> 4458FDD7-2843-4B4F-BA0C-98B1EAF86079 2 0.0000 0.9727 0.000 1.000
#> 38F7976C-4A68-47D7-9F75-1B187E78C221 1 0.0000 0.9832 1.000 0.000
#> D9EC56A1-279E-44B3-8276-D3ED1F4873E9 1 0.0000 0.9832 1.000 0.000
#> 9790A47E-80EC-47F8-B787-6FC7BCDA4B6E 1 0.0000 0.9832 1.000 0.000
#> C5CC2D47-FFF4-4861-A48D-5380A0DCFA27 1 0.0000 0.9832 1.000 0.000
#> 64916DD6-9DCD-4E5C-8122-C7F6B06BAEE5 2 0.0000 0.9727 0.000 1.000
#> DBB78140-A074-44D6-A3EA-C96157AC92AF 2 0.0000 0.9727 0.000 1.000
#> 905CA3FF-ED04-42F9-A69E-FEE30FC8D6A6 1 0.9552 0.3929 0.624 0.376
#> 5425B41C-0A33-4539-AF11-AA5749EF73BC 1 0.0000 0.9832 1.000 0.000
#> 9CD499C7-96F2-417C-A68A-A69E34C2659A 1 0.0000 0.9832 1.000 0.000
#> DF9D7119-111B-49A5-8D4D-B625631CC450 1 0.0000 0.9832 1.000 0.000
#> 1B20538B-85C0-496D-B3D5-19A7BA2332E2 1 0.0000 0.9832 1.000 0.000
#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 1 0.0000 0.9832 1.000 0.000
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.0000 0.9832 1.000 0.000
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9832 1.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.0000 0.9832 1.000 0.000
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.0000 0.9832 1.000 0.000
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9832 1.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9832 1.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.0000 0.9832 1.000 0.000
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 1 0.0000 0.9832 1.000 0.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9727 0.000 1.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.0000 0.9832 1.000 0.000
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.0000 0.9727 0.000 1.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.0000 0.9832 1.000 0.000
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9727 0.000 1.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 1 0.0000 0.9832 1.000 0.000
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 1 0.0000 0.9832 1.000 0.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9832 1.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0000 0.9832 1.000 0.000
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.9850 0.2617 0.428 0.572
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 1 0.0000 0.9832 1.000 0.000
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9832 1.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9727 0.000 1.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9727 0.000 1.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0000 0.9832 1.000 0.000
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9832 1.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.0000 0.9832 1.000 0.000
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.0000 0.9832 1.000 0.000
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.0000 0.9832 1.000 0.000
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.0000 0.9832 1.000 0.000
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0000 0.9832 1.000 0.000
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 1 0.0000 0.9832 1.000 0.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.0000 0.9832 1.000 0.000
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 1 0.0000 0.9832 1.000 0.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.0000 0.9832 1.000 0.000
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9727 0.000 1.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 1 0.0000 0.9832 1.000 0.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9832 1.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9727 0.000 1.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 1 0.0000 0.9832 1.000 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.0000 0.9832 1.000 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0000 0.9727 0.000 1.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.9727 0.000 1.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9727 0.000 1.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.0000 0.9832 1.000 0.000
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9832 1.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0000 0.9832 1.000 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9832 1.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.9727 0.000 1.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.9832 1.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0000 0.9832 1.000 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.0000 0.9832 1.000 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0000 0.9832 1.000 0.000
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.0000 0.9832 1.000 0.000
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9832 1.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.0000 0.9832 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4178 0.8221 0.828 0.000 0.172
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 1 0.0000 0.9127 1.000 0.000 0.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.4654 0.7869 0.792 0.000 0.208
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 1 0.0000 0.9127 1.000 0.000 0.000
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.0000 0.9674 0.000 1.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.6204 0.3753 0.576 0.000 0.424
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 1 0.0000 0.9127 1.000 0.000 0.000
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.0000 0.9127 1.000 0.000 0.000
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 3 0.0000 0.8998 0.000 0.000 1.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 1 0.0000 0.9127 1.000 0.000 0.000
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 1 0.5560 0.6082 0.700 0.300 0.000
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 1 0.0424 0.9097 0.992 0.008 0.000
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 2 0.0000 0.9674 0.000 1.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.0000 0.9674 0.000 1.000 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 1 0.3192 0.8663 0.888 0.000 0.112
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.2959 0.8756 0.900 0.000 0.100
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 2 0.4931 0.7066 0.000 0.768 0.232
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.6045 0.3364 0.000 0.380 0.620
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0000 0.9674 0.000 1.000 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 3 0.5363 0.5991 0.276 0.000 0.724
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 3 0.2261 0.8785 0.068 0.000 0.932
#> C445F3C3-0E15-4C92-B258-B35433957A8E 3 0.0000 0.8998 0.000 0.000 1.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 3 0.0000 0.8998 0.000 0.000 1.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.1163 0.9088 0.972 0.000 0.028
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 1 0.0000 0.9127 1.000 0.000 0.000
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.9674 0.000 1.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 3 0.0000 0.8998 0.000 0.000 1.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 3 0.0000 0.8998 0.000 0.000 1.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.0000 0.9674 0.000 1.000 0.000
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 1 0.1289 0.9076 0.968 0.000 0.032
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 1 0.0000 0.9127 1.000 0.000 0.000
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 1 0.0000 0.9127 1.000 0.000 0.000
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 1 0.0000 0.9127 1.000 0.000 0.000
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 3 0.2261 0.8786 0.068 0.000 0.932
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.9674 0.000 1.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.9674 0.000 1.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 2 0.0000 0.9674 0.000 1.000 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 3 0.2711 0.8671 0.088 0.000 0.912
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.9674 0.000 1.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 1 0.0000 0.9127 1.000 0.000 0.000
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.9674 0.000 1.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 3 0.2356 0.8768 0.072 0.000 0.928
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 2 0.2356 0.9048 0.000 0.928 0.072
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.9674 0.000 1.000 0.000
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#> 45CEAFFF-F893-4746-8B00-DBEB33F71FC2 3 0.2878 0.8609 0.096 0.000 0.904
#> E33083BC-C38E-4BCA-9231-78B001DD47D6 1 0.1529 0.9051 0.960 0.000 0.040
#> D9A28502-6D49-4A39-ABCF-082D5853C8B8 1 0.0000 0.9127 1.000 0.000 0.000
#> 02E749EC-29C5-4863-9ADC-627BD15B0DA1 1 0.1031 0.9098 0.976 0.000 0.024
#> 9A7B04E1-8C94-4AEC-9F43-CE093EF6FC37 1 0.6079 0.4735 0.612 0.000 0.388
#> D210AEF6-4A45-448F-963A-0D0D7BA6D79F 1 0.0000 0.9127 1.000 0.000 0.000
#> E8D127A4-72BB-4418-B799-76147F40BDC7 1 0.0000 0.9127 1.000 0.000 0.000
#> C8A3EFE7-56BF-4AB9-A232-E921DA3E437B 1 0.6168 0.4089 0.588 0.000 0.412
#> 4388CB4E-B7AD-4576-B980-BEBC3E3DCCDD 3 0.0000 0.8998 0.000 0.000 1.000
#> 6694314C-A38D-41AC-9DD1-2CDCEF629692 2 0.0000 0.9674 0.000 1.000 0.000
#> 2FCB0E17-6455-4D8A-8F88-A4D6AD46CB9E 1 0.2448 0.8891 0.924 0.000 0.076
#> E61639E8-BE2E-401D-83B8-CF3B00ECBB21 2 0.0000 0.9674 0.000 1.000 0.000
#> 5B575F5F-60AB-4A82-BC89-BE57466CCBFC 1 0.1860 0.9007 0.948 0.000 0.052
#> D0793CC3-3E53-4423-95A2-936E0312FBAC 2 0.0000 0.9674 0.000 1.000 0.000
#> 1EEA34ED-7A4C-417D-93B2-7225D653D436 3 0.4178 0.7683 0.172 0.000 0.828
#> 66B11D7C-B8A2-4F49-AF44-8C7C80423D70 3 0.0000 0.8998 0.000 0.000 1.000
#> 339FFA20-3E9E-430A-A37E-995E4D7CDF4D 1 0.0000 0.9127 1.000 0.000 0.000
#> 29BFA0DF-B284-4E84-9DC2-E53634B8382D 1 0.0424 0.9126 0.992 0.000 0.008
#> 053528AE-5320-4F73-A187-38898EB95735 2 0.0000 0.9674 0.000 1.000 0.000
#> F2161A0F-148E-4AC7-BAF7-4F79BFE2C084 3 0.5650 0.5200 0.312 0.000 0.688
#> A6B7331A-BEF9-4E15-982D-DB756EC1306D 1 0.0000 0.9127 1.000 0.000 0.000
#> 345E56AC-354E-43FE-B984-DED4EEB9ECB2 2 0.0000 0.9674 0.000 1.000 0.000
#> 40B2E25E-10BB-4437-87E6-0525E93677CB 2 0.0000 0.9674 0.000 1.000 0.000
#> 91A4BB6F-252D-4F07-9C39-B6F8EC29F157 1 0.0892 0.9105 0.980 0.000 0.020
#> DFEA52AF-4EB8-4400-A272-173531E42F20 1 0.0000 0.9127 1.000 0.000 0.000
#> 786B8DB5-11CE-48A4-8BAE-2F8E14F3B29F 1 0.1964 0.8991 0.944 0.000 0.056
#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 3 0.0237 0.8992 0.004 0.000 0.996
#> 151D2793-713F-46BE-A553-A1011E8002E2 3 0.3619 0.8218 0.136 0.000 0.864
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 1 0.1643 0.9037 0.956 0.000 0.044
#> CA9D8784-2354-40CF-98D6-B54D0B780487 1 0.0592 0.9119 0.988 0.000 0.012
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 3 0.0000 0.8998 0.000 0.000 1.000
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.2711 0.8827 0.912 0.000 0.088
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 3 0.0000 0.8998 0.000 0.000 1.000
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.5216 0.7196 0.740 0.000 0.260
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 2 0.0000 0.9674 0.000 1.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 3 0.0000 0.8998 0.000 0.000 1.000
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 1 0.0000 0.9127 1.000 0.000 0.000
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.0000 0.9674 0.000 1.000 0.000
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 2 0.2446 0.9045 0.052 0.936 0.012
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 3 0.0000 0.8998 0.000 0.000 1.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0237 0.9634 0.004 0.996 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.1163 0.9372 0.028 0.972 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.9674 0.000 1.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4178 0.8221 0.828 0.000 0.172
#> 0E942B03-D2E5-475F-876A-AE092CB34303 1 0.0000 0.9127 1.000 0.000 0.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 3 0.2165 0.8803 0.064 0.000 0.936
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 1 0.0000 0.9127 1.000 0.000 0.000
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 2 0.0000 0.9674 0.000 1.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 1 0.0000 0.9127 1.000 0.000 0.000
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.5678 0.6279 0.684 0.000 0.316
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 1 0.2448 0.8731 0.924 0.076 0.000
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.1753 0.9024 0.952 0.000 0.048
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.1289 0.9076 0.968 0.000 0.032
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 1 0.0000 0.9127 1.000 0.000 0.000
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 3 0.0000 0.8998 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.0592 0.88254 0.984 0.000 0.000 0.016
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.0000 0.77192 0.000 0.000 0.000 1.000
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.0188 0.88299 0.996 0.000 0.004 0.000
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.4134 0.71550 0.260 0.000 0.000 0.740
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 2 0.4855 0.24153 0.000 0.600 0.400 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.0000 0.88317 1.000 0.000 0.000 0.000
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.4585 0.64404 0.332 0.000 0.000 0.668
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.4989 -0.13329 0.528 0.000 0.000 0.472
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.0469 0.88073 0.988 0.000 0.012 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.4193 0.71190 0.268 0.000 0.000 0.732
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.1637 0.75905 0.000 0.060 0.000 0.940
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 4 0.1557 0.74103 0.000 0.056 0.000 0.944
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.1637 0.76230 0.000 0.060 0.940 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.4761 0.32550 0.000 0.628 0.372 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.5407 0.22430 0.484 0.000 0.012 0.504
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 1 0.5000 -0.19296 0.500 0.000 0.000 0.500
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0779 0.77546 0.000 0.004 0.980 0.016
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0524 0.77764 0.008 0.004 0.988 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.0188 0.91566 0.000 0.996 0.004 0.000
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 1 0.5244 0.22064 0.600 0.000 0.388 0.012
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.1474 0.86585 0.948 0.000 0.052 0.000
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.2408 0.82459 0.896 0.000 0.104 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4564 0.43456 0.672 0.000 0.328 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 1 0.3569 0.69442 0.804 0.000 0.000 0.196
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.2011 0.79242 0.080 0.000 0.000 0.920
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.4977 0.04272 0.540 0.000 0.460 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.2149 0.83297 0.912 0.000 0.088 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 2 0.5290 0.20461 0.004 0.552 0.440 0.004
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.4972 0.33444 0.456 0.000 0.000 0.544
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.4454 0.66400 0.308 0.000 0.000 0.692
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.1356 0.78489 0.032 0.000 0.008 0.960
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 4 0.0469 0.77386 0.012 0.000 0.000 0.988
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.2281 0.83959 0.904 0.000 0.096 0.000
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.1557 0.76299 0.000 0.056 0.944 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.0921 0.87687 0.972 0.000 0.028 0.000
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.0336 0.76855 0.000 0.000 0.008 0.992
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.0188 0.88299 0.996 0.000 0.004 0.000
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.1302 0.76732 0.000 0.044 0.956 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.4790 0.24259 0.620 0.000 0.000 0.380
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.0000 0.88317 1.000 0.000 0.000 0.000
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.1940 0.79243 0.076 0.000 0.000 0.924
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 1 0.4830 0.20406 0.608 0.000 0.000 0.392
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.2081 0.79238 0.084 0.000 0.000 0.916
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.2647 0.78624 0.120 0.000 0.000 0.880
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.0188 0.88360 0.996 0.000 0.000 0.004
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.1302 0.87216 0.956 0.000 0.000 0.044
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.1389 0.78869 0.048 0.000 0.000 0.952
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.0336 0.88269 0.992 0.000 0.008 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.2156 0.84182 0.928 0.060 0.004 0.008
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.0469 0.88198 0.988 0.000 0.012 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 3 0.4220 0.60700 0.004 0.248 0.748 0.000
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.4158 0.66572 0.224 0.000 0.768 0.008
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.2345 0.75212 0.100 0.000 0.900 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.4372 0.70701 0.268 0.000 0.004 0.728
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 3 0.3757 0.70748 0.152 0.000 0.828 0.020
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 4 0.4972 0.23452 0.000 0.456 0.000 0.544
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.1302 0.78834 0.044 0.000 0.000 0.956
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 4 0.5645 0.52706 0.364 0.000 0.032 0.604
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.0524 0.88286 0.988 0.000 0.004 0.008
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.4428 0.63024 0.000 0.720 0.004 0.276
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0469 0.90740 0.012 0.988 0.000 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.5050 0.59910 0.268 0.028 0.704 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.1118 0.87488 0.964 0.000 0.000 0.036
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.0336 0.77678 0.000 0.008 0.992 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 3 0.7838 0.16157 0.000 0.316 0.404 0.280
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.1940 0.79296 0.076 0.000 0.000 0.924
#> F850770E-CE4A-43E8-A4FB-154184CA8155 3 0.4989 0.16962 0.472 0.000 0.528 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.0000 0.77192 0.000 0.000 0.000 1.000
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 1 0.5143 -0.02149 0.540 0.000 0.004 0.456
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 1 0.1557 0.86446 0.944 0.000 0.000 0.056
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.1118 0.87543 0.964 0.000 0.000 0.036
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1211 0.87204 0.960 0.000 0.040 0.000
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0188 0.77679 0.000 0.004 0.996 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.4391 0.72367 0.252 0.000 0.008 0.740
#> AB004080-5726-47A9-A172-EA3640F63257 4 0.4304 0.70396 0.284 0.000 0.000 0.716
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0657 0.77765 0.012 0.004 0.984 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0336 0.77714 0.008 0.000 0.992 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.4040 0.61789 0.248 0.000 0.752 0.000
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2530 0.78453 0.888 0.000 0.112 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.4040 0.73770 0.248 0.000 0.000 0.752
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.0592 0.88254 0.984 0.000 0.000 0.016
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.1022 0.87711 0.968 0.000 0.000 0.032
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.1940 0.84931 0.924 0.000 0.076 0.000
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.4941 0.39245 0.436 0.000 0.000 0.564
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.4188 0.58491 0.752 0.000 0.004 0.244
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 4 0.4624 0.30776 0.000 0.340 0.000 0.660
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.0592 0.88184 0.984 0.000 0.000 0.016
#> D8985489-B182-4538-A0C2-59649231B71F 1 0.5581 -0.00101 0.532 0.020 0.448 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.1940 0.84292 0.924 0.000 0.000 0.076
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.2921 0.78523 0.140 0.000 0.000 0.860
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.0592 0.88078 0.984 0.000 0.016 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 3 0.4500 0.50146 0.000 0.316 0.684 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 1 0.5000 -0.19159 0.500 0.000 0.000 0.500
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#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.4643 0.36533 0.656 0.000 0.344 0.000
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.0188 0.91517 0.004 0.996 0.000 0.000
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.91839 0.000 1.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.1022 0.87864 0.968 0.000 0.000 0.032
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.0000 0.77192 0.000 0.000 0.000 1.000
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.0336 0.88310 0.992 0.000 0.008 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.0779 0.77769 0.016 0.000 0.004 0.980
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.3356 0.68161 0.000 0.176 0.824 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 4 0.0336 0.77429 0.008 0.000 0.000 0.992
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.0469 0.88198 0.988 0.000 0.012 0.000
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.6065 0.59783 0.080 0.276 0.000 0.644
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.0469 0.88343 0.988 0.000 0.000 0.012
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.3074 0.76048 0.848 0.000 0.000 0.152
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.2530 0.78235 0.100 0.000 0.004 0.896
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.2469 0.82708 0.892 0.000 0.108 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.2520 0.750390 0.896 0.000 0.000 0.048 0.056
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 5 0.2020 0.639258 0.000 0.000 0.000 0.100 0.900
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1661 0.751550 0.940 0.000 0.000 0.036 0.024
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 5 0.2305 0.679233 0.092 0.000 0.000 0.012 0.896
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.4242 0.240276 0.000 0.428 0.572 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.1205 0.756744 0.956 0.000 0.000 0.004 0.040
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 5 0.5528 0.578998 0.216 0.000 0.000 0.140 0.644
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 1 0.5856 0.044536 0.504 0.000 0.000 0.100 0.396
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.1851 0.730868 0.912 0.000 0.000 0.088 0.000
#> E43F4146-C231-4E30-A7B8-8695D00389C1 5 0.2824 0.676167 0.116 0.000 0.000 0.020 0.864
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 5 0.6355 0.474477 0.016 0.064 0.036 0.280 0.604
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.6044 0.461292 0.000 0.044 0.076 0.252 0.628
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0162 0.715836 0.000 0.004 0.996 0.000 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.2953 0.732230 0.000 0.844 0.144 0.012 0.000
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 5 0.5028 0.517637 0.276 0.000 0.008 0.048 0.668
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 5 0.5139 0.454209 0.316 0.000 0.000 0.060 0.624
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0162 0.715335 0.000 0.000 0.996 0.000 0.004
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.716115 0.000 0.000 1.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 2 0.3699 0.703317 0.000 0.780 0.008 0.204 0.008
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 4 0.5644 0.035871 0.460 0.000 0.048 0.480 0.012
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.2179 0.749368 0.912 0.000 0.008 0.072 0.008
#> C445F3C3-0E15-4C92-B258-B35433957A8E 1 0.4682 0.438934 0.620 0.000 0.024 0.356 0.000
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.4577 0.552027 0.748 0.000 0.108 0.144 0.000
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 5 0.5930 0.266466 0.372 0.000 0.000 0.112 0.516
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 5 0.3043 0.680754 0.056 0.000 0.000 0.080 0.864
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.5559 0.117417 0.544 0.000 0.380 0.076 0.000
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1357 0.742986 0.948 0.000 0.004 0.048 0.000
#> 54F31962-F589-4C36-B597-3965989EA02E 4 0.8052 0.131572 0.240 0.068 0.240 0.436 0.016
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 5 0.4679 0.500161 0.316 0.000 0.000 0.032 0.652
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 5 0.4877 0.587147 0.236 0.000 0.000 0.072 0.692
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 5 0.1117 0.676521 0.020 0.000 0.000 0.016 0.964
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.4455 0.418116 0.008 0.000 0.000 0.404 0.588
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 1 0.6506 0.245839 0.488 0.000 0.032 0.388 0.092
#> 141CECEC-2118-4805-9DD0-67F13620674D 2 0.4313 0.523136 0.000 0.636 0.008 0.356 0.000
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.2127 0.790515 0.000 0.892 0.000 0.108 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0324 0.715668 0.000 0.004 0.992 0.004 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 1 0.5486 0.242543 0.500 0.000 0.004 0.444 0.052
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.0404 0.858153 0.000 0.988 0.000 0.012 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 5 0.1197 0.656767 0.000 0.000 0.000 0.048 0.952
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.2011 0.733192 0.908 0.000 0.000 0.088 0.004
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.3390 0.668509 0.000 0.060 0.840 0.100 0.000
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 1 0.5288 0.180687 0.544 0.000 0.000 0.052 0.404
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.1981 0.753091 0.924 0.000 0.000 0.048 0.028
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 5 0.3375 0.677538 0.056 0.000 0.000 0.104 0.840
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 5 0.5580 0.499970 0.236 0.000 0.000 0.132 0.632
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 5 0.3176 0.685619 0.080 0.000 0.000 0.064 0.856
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 5 0.5851 0.472999 0.112 0.000 0.000 0.340 0.548
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 1 0.4637 0.671389 0.728 0.000 0.000 0.196 0.076
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.3410 0.731800 0.840 0.000 0.000 0.068 0.092
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 5 0.1894 0.662133 0.008 0.000 0.000 0.072 0.920
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.2020 0.744615 0.900 0.000 0.000 0.100 0.000
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 1 0.5002 0.359805 0.636 0.312 0.000 0.052 0.000
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.0963 0.846659 0.000 0.964 0.000 0.036 0.000
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.1638 0.745245 0.932 0.000 0.004 0.064 0.000
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 4 0.8014 -0.061059 0.024 0.232 0.288 0.412 0.044
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 3 0.5546 0.094693 0.376 0.000 0.560 0.056 0.008
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.5367 0.437482 0.148 0.000 0.668 0.184 0.000
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 5 0.3037 0.670274 0.100 0.000 0.000 0.040 0.860
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 4 0.7541 0.204399 0.184 0.000 0.280 0.464 0.072
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.5421 0.341281 0.000 0.612 0.052 0.012 0.324
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 5 0.1836 0.678948 0.036 0.000 0.000 0.032 0.932
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.0290 0.858759 0.000 0.992 0.000 0.008 0.000
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 5 0.7075 0.308894 0.288 0.000 0.036 0.184 0.492
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.2304 0.734410 0.892 0.000 0.000 0.100 0.008
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 2 0.6936 0.297912 0.000 0.496 0.056 0.340 0.108
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.0566 0.854372 0.004 0.984 0.000 0.012 0.000
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 3 0.7316 0.092418 0.172 0.048 0.436 0.344 0.000
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.2863 0.746910 0.876 0.000 0.000 0.060 0.064
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.2189 0.693196 0.012 0.000 0.904 0.084 0.000
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 4 0.7926 0.012165 0.000 0.296 0.264 0.364 0.076
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 5 0.2899 0.671350 0.036 0.000 0.008 0.076 0.880
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.6287 0.064106 0.520 0.000 0.296 0.184 0.000
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 5 0.2690 0.618594 0.000 0.000 0.000 0.156 0.844
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 5 0.5228 0.396159 0.356 0.000 0.000 0.056 0.588
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 4 0.6646 0.100898 0.240 0.000 0.000 0.436 0.324
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.2504 0.748354 0.896 0.000 0.000 0.064 0.040
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.1662 0.748310 0.936 0.000 0.004 0.056 0.004
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0000 0.716115 0.000 0.000 1.000 0.000 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 5 0.2964 0.669200 0.120 0.000 0.000 0.024 0.856
#> AB004080-5726-47A9-A172-EA3640F63257 5 0.6826 0.170764 0.336 0.000 0.000 0.328 0.336
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.716115 0.000 0.000 1.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.0794 0.712995 0.000 0.000 0.972 0.028 0.000
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.4001 0.613237 0.056 0.000 0.820 0.100 0.024
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.2818 0.696685 0.856 0.000 0.012 0.132 0.000
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 5 0.4679 0.643307 0.124 0.000 0.000 0.136 0.740
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.1942 0.752397 0.920 0.000 0.000 0.012 0.068
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.2824 0.740202 0.872 0.000 0.000 0.032 0.096
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.2805 0.728292 0.872 0.000 0.008 0.108 0.012
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 5 0.3355 0.640325 0.184 0.000 0.000 0.012 0.804
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.4905 0.557353 0.696 0.000 0.000 0.080 0.224
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.6665 0.145058 0.000 0.240 0.000 0.336 0.424
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.3304 0.683841 0.816 0.000 0.000 0.016 0.168
#> D8985489-B182-4538-A0C2-59649231B71F 4 0.6495 0.133983 0.424 0.008 0.144 0.424 0.000
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 1 0.6743 0.083354 0.396 0.000 0.000 0.264 0.340
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 5 0.2616 0.685859 0.076 0.000 0.000 0.036 0.888
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.1908 0.730516 0.908 0.000 0.000 0.092 0.000
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.5702 0.314063 0.000 0.576 0.320 0.104 0.000
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 5 0.4348 0.496549 0.316 0.000 0.000 0.016 0.668
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.4457 0.652832 0.740 0.000 0.004 0.208 0.048
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 5 0.2719 0.683884 0.068 0.000 0.000 0.048 0.884
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 5 0.5759 0.446361 0.000 0.000 0.128 0.276 0.596
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 5 0.3995 0.655335 0.152 0.000 0.000 0.060 0.788
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 4 0.7734 0.258425 0.308 0.000 0.220 0.404 0.068
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.1952 0.731615 0.912 0.000 0.004 0.084 0.000
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.4620 0.432711 0.016 0.000 0.000 0.392 0.592
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.2074 0.748128 0.920 0.000 0.000 0.044 0.036
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.2909 0.700455 0.848 0.000 0.000 0.140 0.012
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.1357 0.745374 0.948 0.000 0.004 0.048 0.000
#> 998A0059-F532-4044-9C25-6D175854F963 5 0.5867 0.510177 0.268 0.000 0.000 0.144 0.588
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 3 0.5961 0.128741 0.092 0.000 0.452 0.452 0.004
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 5 0.3999 0.595532 0.240 0.000 0.000 0.020 0.740
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.4219 0.402785 0.000 0.000 0.000 0.416 0.584
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 5 0.2677 0.672832 0.112 0.000 0.000 0.016 0.872
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1493 0.753610 0.948 0.000 0.000 0.028 0.024
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.4275 0.538138 0.696 0.000 0.000 0.020 0.284
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 5 0.6246 0.485916 0.232 0.000 0.000 0.224 0.544
#> F039079F-DB80-465B-9981-988E6FB61319 2 0.0000 0.863164 0.000 1.000 0.000 0.000 0.000
#> 1DF54FDF-9338-447C-95E4-CF685114E72F 2 0.6754 0.177897 0.000 0.440 0.008 0.356 0.196
#> 16D80C35-EF3C-4999-8A77-CA85FEA1DFBA 1 0.1851 0.733659 0.912 0.000 0.000 0.088 0.000
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#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.2863 0.745582 0.876 0.000 0.000 0.064 0.060
#> 0E942B03-D2E5-475F-876A-AE092CB34303 5 0.2648 0.622974 0.000 0.000 0.000 0.152 0.848
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.1908 0.731890 0.908 0.000 0.000 0.092 0.000
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 5 0.1410 0.659334 0.000 0.000 0.000 0.060 0.940
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.1341 0.699839 0.000 0.056 0.944 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.3636 0.576774 0.000 0.000 0.000 0.272 0.728
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.2482 0.745920 0.892 0.000 0.000 0.084 0.024
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 5 0.5798 0.290739 0.032 0.404 0.000 0.036 0.528
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.2853 0.735631 0.876 0.000 0.000 0.052 0.072
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 1 0.4482 0.438968 0.636 0.000 0.000 0.016 0.348
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 5 0.5008 0.556251 0.056 0.000 0.000 0.300 0.644
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.5670 0.631481 0.708 0.000 0.108 0.124 0.060
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4852766A-9715-42DF-A555-F1C5011AC535 1 0.4525 0.57248 0.724 0.000 0.000 0.140 0.008 0.128
#> A09B67EF-16D1-4D54-8C46-CBBFC3236FDC 4 0.3168 0.51758 0.000 0.000 0.000 0.804 0.172 0.024
#> 1562153C-AC2E-4094-A936-75CC580367A9 1 0.1908 0.64023 0.924 0.000 0.000 0.044 0.020 0.012
#> BF0F538C-A405-4FAE-AD61-17E38732F4A1 4 0.2196 0.66589 0.056 0.000 0.000 0.908 0.016 0.020
#> E3821F0E-BD25-4A59-92B9-8D79261C643A 3 0.3151 0.59035 0.000 0.252 0.748 0.000 0.000 0.000
#> 861C68D3-DAA8-45B3-8769-FC59E237A5BF 1 0.2742 0.63500 0.872 0.000 0.000 0.076 0.008 0.044
#> 0D5BF444-0CEB-4243-B0D3-3D181D26D7E3 4 0.4623 0.57970 0.200 0.000 0.000 0.708 0.076 0.016
#> 6B830177-B8E3-4635-BED3-2214F4A1C576 4 0.4964 0.02793 0.468 0.000 0.000 0.480 0.040 0.012
#> 3F7CB9CA-7FAA-41D0-9558-000FDE573811 1 0.2655 0.59050 0.876 0.000 0.004 0.000 0.060 0.060
#> E43F4146-C231-4E30-A7B8-8695D00389C1 4 0.2068 0.66622 0.080 0.000 0.000 0.904 0.008 0.008
#> BF399CBA-C257-4654-93A5-B9BCD25E9257 4 0.6033 0.31478 0.028 0.052 0.052 0.608 0.256 0.004
#> 02EB87C8-F20F-4B3A-B074-4A4F8033F704 5 0.6144 0.30481 0.000 0.008 0.160 0.400 0.424 0.008
#> DFC4DF4C-EDDC-4EAD-AC46-93BC8E6DE36D 3 0.0146 0.76298 0.000 0.000 0.996 0.000 0.004 0.000
#> B74635F7-8705-4A16-8985-82A5A26DCC88 2 0.1616 0.84637 0.000 0.940 0.028 0.000 0.020 0.012
#> 162C25FB-84CB-4DA7-8012-EA50A1B00C66 4 0.5097 0.55641 0.188 0.000 0.008 0.688 0.020 0.096
#> 24B9F689-4D56-42F8-93BE-B9A717BFB6AE 4 0.5495 0.45191 0.256 0.000 0.000 0.600 0.016 0.128
#> 80468695-FAF8-410D-9215-81BAD9BFAFFC 3 0.0146 0.76298 0.000 0.000 0.996 0.000 0.004 0.000
#> BD213FB6-2DB9-4955-B061-4CD47604176B 3 0.0000 0.76329 0.000 0.000 1.000 0.000 0.000 0.000
#> 793C6EFD-25B0-43E2-BF52-5223CCCFE4E7 5 0.4613 0.34723 0.000 0.352 0.020 0.000 0.608 0.020
#> 4F80FF9F-AC33-4D5E-BF41-1C8EAC4D79EF 5 0.4880 0.35667 0.256 0.000 0.012 0.000 0.656 0.076
#> D5F3914D-02F6-4F05-AA52-916AA0EA975E 1 0.4390 0.58956 0.760 0.000 0.012 0.016 0.064 0.148
#> C445F3C3-0E15-4C92-B258-B35433957A8E 6 0.4033 0.36390 0.404 0.000 0.004 0.004 0.000 0.588
#> 50CF9B01-9C10-4264-B3E9-314B7FCB80D6 1 0.6630 0.14779 0.496 0.000 0.080 0.000 0.276 0.148
#> F333522F-B37B-4AA5-8A2F-07C714B1E403 4 0.6570 0.44867 0.172 0.000 0.000 0.552 0.132 0.144
#> 7C059DFB-DA1F-4256-95D4-42E6F6E8377B 4 0.2278 0.64706 0.044 0.000 0.000 0.900 0.052 0.004
#> 633662D9-2A37-4B98-A193-8BC082F46CC5 2 0.0260 0.87728 0.000 0.992 0.000 0.000 0.008 0.000
#> AEDF36E0-09F9-43A2-8A58-7E2DFC29A681 1 0.6128 -0.08270 0.436 0.000 0.424 0.000 0.072 0.068
#> DF0DE851-2B38-4E5A-97E9-9FF48232A699 1 0.1867 0.60881 0.916 0.000 0.000 0.000 0.020 0.064
#> 54F31962-F589-4C36-B597-3965989EA02E 5 0.7325 0.08924 0.256 0.008 0.276 0.000 0.380 0.080
#> F02E7E07-F4B4-41A0-87D4-C07F7A21A8E2 4 0.4853 0.50828 0.272 0.000 0.000 0.656 0.032 0.040
#> BD0045AE-EF20-434E-8378-CEAB4F9E9E50 4 0.4094 0.60098 0.224 0.000 0.000 0.728 0.040 0.008
#> A56F2C68-FCD2-4EC4-BB4C-F81DC70D7D0D 4 0.1851 0.64603 0.024 0.000 0.000 0.928 0.036 0.012
#> D0BEF190-7437-42B8-82E3-9B24DBCFC468 5 0.4018 0.47683 0.000 0.000 0.000 0.324 0.656 0.020
#> 4466B30C-9865-4A4D-B6D3-665DADB9D659 6 0.5121 0.44404 0.268 0.000 0.012 0.092 0.000 0.628
#> 141CECEC-2118-4805-9DD0-67F13620674D 5 0.5031 0.35776 0.032 0.352 0.004 0.000 0.588 0.024
#> 46E4DD3D-7222-4E15-9466-6E71A4CA261F 2 0.2527 0.72245 0.000 0.832 0.000 0.000 0.168 0.000
#> 08E3097B-3A58-4129-9305-1A0F7452C063 3 0.0291 0.76278 0.000 0.004 0.992 0.000 0.004 0.000
#> DAEFD5C2-D01D-4C42-815E-AA20EE51BDE1 6 0.3689 0.59333 0.124 0.000 0.000 0.032 0.036 0.808
#> B1FA4B79-5CE1-482E-80CD-2C3219CD170F 2 0.1910 0.79551 0.000 0.892 0.000 0.000 0.108 0.000
#> 2271AAAF-CFE3-4813-90A8-F1C2C2CA2AD6 4 0.3248 0.53557 0.000 0.000 0.000 0.804 0.164 0.032
#> 75C9CA49-5FAB-46A0-82CE-DA214ADD8799 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 4118DD33-B78C-489D-8F96-2DF0F01900C1 1 0.3206 0.58236 0.836 0.000 0.008 0.000 0.108 0.048
#> 8EF055B3-5C39-4B69-8857-CC498C1BCAE8 3 0.5920 0.40184 0.000 0.024 0.548 0.000 0.152 0.276
#> CA133880-2EEC-43AF-8851-C459301358E2 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 478EBC8F-BF17-4CC6-9917-095EC0183B26 4 0.4850 0.12762 0.440 0.000 0.000 0.516 0.028 0.016
#> 1FC13EAD-2830-4033-9402-EFAA3A2E430B 1 0.3477 0.60333 0.808 0.000 0.000 0.056 0.004 0.132
#> 22B2DA38-62FE-493C-B420-55158F5FAB43 4 0.3814 0.62387 0.060 0.000 0.008 0.800 0.124 0.008
#> DE3CD7AA-946B-49A0-8FE5-E57FD88133A1 4 0.6807 0.38659 0.124 0.000 0.000 0.496 0.132 0.248
#> B645B1D6-8FDC-47F2-9309-60784C9B27BD 4 0.2765 0.65063 0.064 0.000 0.000 0.872 0.056 0.008
#> A3660585-1EFB-4F37-B0C2-906E37EC20FD 4 0.6481 0.06017 0.236 0.000 0.000 0.412 0.328 0.024
#> 5D6B584C-BB98-462C-AD70-F1DB39F4B32D 6 0.6700 -0.04895 0.388 0.000 0.000 0.084 0.124 0.404
#> 5F7EBDA1-6E6A-45F9-B3EE-FF3340D38B7F 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 107E8633-7381-401E-80CF-E0D342726F81 1 0.5439 0.49068 0.624 0.000 0.000 0.204 0.016 0.156
#> 926A40D3-D0C3-4C9B-AE5E-BB67956BD1FC 4 0.5359 0.44555 0.008 0.000 0.000 0.620 0.196 0.176
#> 4336561F-B08B-401A-A016-28DD31DA97DA 1 0.5740 0.39656 0.572 0.000 0.004 0.008 0.176 0.240
#> 9745E5CC-8844-4F42-9B3E-9A04CBF03419 2 0.7589 0.04726 0.236 0.424 0.000 0.016 0.172 0.152
#> F1FD1D7F-457D-4BB4-854D-0A13216FCDC8 2 0.4199 0.57785 0.000 0.704 0.004 0.000 0.248 0.044
#> 1EB81C57-EA75-4D8E-A494-9637B858F659 1 0.4008 0.55428 0.768 0.000 0.004 0.000 0.100 0.128
#> EDAAFC3B-449A-471D-B009-45D3BCA96ACC 6 0.5947 0.46442 0.032 0.104 0.088 0.012 0.076 0.688
#> 3185D230-7015-405F-AE5F-5C8B2B42722B 1 0.7156 0.27424 0.532 0.000 0.068 0.056 0.148 0.196
#> 024513A5-FF28-44F9-9683-8A545557A64E 3 0.5022 0.13270 0.076 0.000 0.528 0.000 0.000 0.396
#> ADBA98D8-E170-4DFA-B387-3F99BA4EB309 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 522DE754-7EDE-4F06-B4E5-EB55FAB272C3 4 0.2745 0.66214 0.068 0.000 0.000 0.864 0.000 0.068
#> 9C50DD1D-342A-4742-9E52-F1501AE91C13 6 0.5140 0.55589 0.088 0.000 0.052 0.024 0.104 0.732
#> A324871E-E014-48D9-BAB7-C555B6D11BB4 2 0.5049 0.37511 0.000 0.624 0.104 0.268 0.004 0.000
#> 232E9527-1EFA-4E00-9737-43FB3FDE75ED 4 0.1401 0.63719 0.020 0.000 0.000 0.948 0.028 0.004
#> E8473ED9-6800-426B-977F-E928065BE475 2 0.3024 0.73438 0.008 0.844 0.000 0.000 0.116 0.032
#> 9555E062-1ADA-4AF2-93F7-86332F05D702 6 0.7482 0.25496 0.212 0.000 0.000 0.252 0.164 0.372
#> 3B7B2152-2B8A-4505-973E-9A580A836857 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 898EA507-757B-4373-AF32-5AEE201A07AC 1 0.5010 0.46091 0.672 0.000 0.004 0.004 0.164 0.156
#> 3A963F91-C6AB-4FCE-8B02-0A55A83A3DD7 5 0.6122 0.49252 0.000 0.296 0.068 0.064 0.560 0.012
#> 4F5D406F-0C0E-4184-8F37-5B0896396BFC 2 0.2597 0.78842 0.008 0.880 0.000 0.004 0.020 0.088
#> D841488F-70FC-4E2F-A231-2DADD64A33B8 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 695D5BEB-C772-4964-ACDD-577ECA532623 6 0.5478 0.37706 0.104 0.008 0.288 0.000 0.008 0.592
#> 9602EC13-3011-4D5A-AA4D-B61AFF7DC04D 1 0.4750 0.57337 0.720 0.000 0.000 0.116 0.024 0.140
#> A6918219-874C-43BF-B1FA-2D8445BE98A8 3 0.4847 0.49227 0.004 0.000 0.636 0.000 0.080 0.280
#> 4BF61B46-2F85-4DB1-BF35-648D869E0348 5 0.5285 0.55438 0.000 0.108 0.120 0.032 0.712 0.028
#> EEBF9AFE-C11B-40C8-ADB1-AC402EE90B1D 4 0.5889 0.44527 0.016 0.000 0.016 0.604 0.200 0.164
#> F850770E-CE4A-43E8-A4FB-154184CA8155 1 0.6759 0.22025 0.508 0.000 0.176 0.000 0.216 0.100
#> A26E043D-E36B-40E7-B256-E368A8B1C156 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 699DC654-3950-4D7B-A142-45253518A5AC 4 0.2902 0.49815 0.000 0.000 0.000 0.800 0.196 0.004
#> B8D94604-4D29-482B-8ADE-741D8595A4EF 4 0.5972 0.27480 0.304 0.000 0.000 0.520 0.020 0.156
#> 05289F20-E82B-4378-859A-2BC8DC95C85E 6 0.5888 0.48330 0.088 0.000 0.000 0.184 0.104 0.624
#> 6DF35273-0B6F-4931-8C80-06E48781EECA 1 0.4793 0.56545 0.712 0.000 0.000 0.132 0.020 0.136
#> 0838D9EF-0A03-4255-9D77-D543FA485FB6 1 0.2667 0.60186 0.852 0.000 0.000 0.020 0.000 0.128
#> A47F637F-EB28-4108-98C8-FB4725310FA0 3 0.0146 0.76298 0.000 0.000 0.996 0.000 0.004 0.000
#> 2A1A371D-F0D1-4EB7-8CD5-874FE13FD7A6 4 0.3079 0.66052 0.096 0.000 0.000 0.844 0.004 0.056
#> AB004080-5726-47A9-A172-EA3640F63257 1 0.6308 0.16079 0.476 0.000 0.000 0.212 0.288 0.024
#> CFE24A37-3609-4C1F-A776-AB00FFC86A00 3 0.0000 0.76329 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C430E1D-B9F8-4773-B4A5-618CA00B93F8 3 0.1531 0.74428 0.004 0.000 0.928 0.000 0.000 0.068
#> 3F61BE4B-2321-489B-9503-F8E3F5F79307 3 0.2649 0.72413 0.028 0.000 0.888 0.020 0.004 0.060
#> CC26B5BC-9E6B-47F1-AC08-F72FDA2E06EB 1 0.4878 0.47295 0.684 0.000 0.008 0.000 0.164 0.144
#> AAE4EEFB-7C80-4A6A-8B83-8C6CDF491F17 4 0.4099 0.61291 0.148 0.000 0.000 0.768 0.068 0.016
#> 623B7D07-11C0-4210-BA5C-044F9E6F2768 1 0.4216 0.59141 0.756 0.000 0.000 0.148 0.012 0.084
#> 085B0F76-1407-488B-83AC-E538C8DD0CD6 1 0.4997 0.53238 0.672 0.000 0.000 0.208 0.016 0.104
#> 0ADE93E0-EE7D-4DC0-A5D7-908FB14F7BA6 1 0.4224 0.45584 0.688 0.000 0.004 0.028 0.004 0.276
#> 58882CA5-504D-469B-A23C-A3B45F9FAD79 4 0.3257 0.64514 0.152 0.000 0.000 0.816 0.012 0.020
#> 722B2E84-0BEE-4D01-8346-A4F39A9C13FE 1 0.6080 0.47235 0.576 0.000 0.000 0.232 0.136 0.056
#> D71511DC-6387-4B55-BA92-3395ADB363FE 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> FC752F34-F97E-46F5-AA5D-0AFDC584D706 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> CF9059AA-60AB-4B37-8433-8E1C29F41005 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> B6D0E023-DC2A-4456-A70D-D4BB3181BF09 5 0.5789 0.46848 0.000 0.316 0.000 0.176 0.504 0.004
#> B2E727F2-9F7B-42F3-8F7E-E66D95C074B9 1 0.4992 0.33925 0.564 0.000 0.000 0.376 0.016 0.044
#> D8985489-B182-4538-A0C2-59649231B71F 5 0.5457 0.30004 0.180 0.000 0.016 0.000 0.624 0.180
#> 1DEC3D9F-EF3F-49F0-B871-E1EAF2041822 6 0.7377 0.05311 0.208 0.000 0.000 0.328 0.128 0.336
#> 35181A54-6ABB-405F-8015-C3B2AE7FF4DA 4 0.3548 0.63947 0.068 0.000 0.000 0.812 0.112 0.008
#> FAEAD161-D1CA-4329-8C04-F39140A2A9C6 1 0.3955 0.53636 0.772 0.000 0.004 0.000 0.132 0.092
#> 73AA89D1-C166-4C3F-A740-90285B7E7F15 2 0.7307 -0.04332 0.000 0.356 0.120 0.000 0.200 0.324
#> 3EF64A47-3DBF-425F-A807-90D785012EBB 4 0.4225 0.59407 0.216 0.000 0.000 0.728 0.016 0.040
#> B691765E-89D1-40EB-82A7-B3D954AD49BF 1 0.5209 0.30891 0.560 0.000 0.000 0.092 0.004 0.344
#> FB44B76F-3998-4153-ABB4-FC3E631F1C81 4 0.1970 0.65413 0.044 0.000 0.000 0.920 0.028 0.008
#> DD96878A-6BCC-4C09-99B5-E5659297ED21 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> A42D2A3B-C397-4904-98B2-E2537C00C156 4 0.6232 -0.04284 0.000 0.000 0.236 0.472 0.276 0.016
#> 024D9F44-2896-4C3C-A8BA-704AE20103C8 4 0.2776 0.66281 0.104 0.000 0.000 0.860 0.032 0.004
#> 14BCEC64-17EF-438C-9E9F-E5BBC5C95F11 6 0.4920 0.56349 0.204 0.000 0.068 0.036 0.000 0.692
#> 1C323F7C-31AE-4343-9CC8-F894FBE52A50 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 4148254A-DDA9-4378-8A22-AED3308156EF 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> C4A001BB-F700-4830-B6F1-83E7FC938865 1 0.4082 0.54860 0.756 0.000 0.004 0.000 0.084 0.156
#> 24CB0904-BB88-4382-BB76-3FAD758D4029 5 0.4780 0.16062 0.040 0.000 0.000 0.472 0.484 0.004
#> 2C5C27A4-8506-4ED1-9A0C-7FEFA2A02914 1 0.2432 0.63547 0.888 0.000 0.000 0.080 0.024 0.008
#> 83867921-8D7C-41AE-9292-010EECA0C186 1 0.3282 0.60383 0.844 0.000 0.004 0.020 0.096 0.036
#> 25F57C6E-E445-4321-95F3-E14E1016459A 1 0.2591 0.60588 0.880 0.000 0.004 0.000 0.064 0.052
#> 998A0059-F532-4044-9C25-6D175854F963 4 0.7418 0.28390 0.224 0.000 0.000 0.392 0.228 0.156
#> 2EF20D79-14C5-43E0-AB63-012EF1651821 6 0.4094 0.50302 0.044 0.000 0.160 0.000 0.028 0.768
#> BE27B398-898F-4E30-B0E6-6EC4B3038082 4 0.3470 0.63622 0.176 0.000 0.000 0.792 0.012 0.020
#> 8B162C63-7AC8-49E5-B705-BA38DD9F4556 5 0.4062 0.59259 0.000 0.000 0.000 0.176 0.744 0.080
#> 59927EA1-3775-47A4-86AC-1BFFAE855661 4 0.1858 0.66290 0.076 0.000 0.000 0.912 0.000 0.012
#> 8E295B94-54B1-491F-9638-DD96789431E3 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> DF85C921-BADB-4B2E-B4E2-CBEBE5DF1D53 1 0.1882 0.64178 0.920 0.000 0.000 0.060 0.008 0.012
#> 1C697C09-94BD-42C9-ABE6-4C7970BA1680 1 0.5562 0.02993 0.460 0.000 0.000 0.444 0.072 0.024
#> 9928C165-0A54-4FF2-ACF0-FABAE0D8D4BF 2 0.1194 0.85628 0.000 0.956 0.004 0.000 0.032 0.008
#> 288687DA-7142-4BC8-8FCC-766938BA01DF 4 0.5492 0.42329 0.320 0.000 0.000 0.564 0.100 0.016
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#> 08A09928-5484-42B2-A2DF-68AE49AD8A49 1 0.3955 0.54161 0.772 0.000 0.004 0.000 0.132 0.092
#> 151D2793-713F-46BE-A553-A1011E8002E2 1 0.2766 0.63139 0.872 0.000 0.000 0.060 0.008 0.060
#> 990496A4-C4B9-491D-A344-74E87C20C3C4 4 0.4620 0.56110 0.084 0.000 0.000 0.696 0.008 0.212
#> CA9D8784-2354-40CF-98D6-B54D0B780487 4 0.4429 0.56100 0.244 0.000 0.000 0.700 0.024 0.032
#> AAF5F9F6-79BB-4B4D-A254-B53CE4879812 6 0.4105 0.55274 0.236 0.000 0.000 0.008 0.036 0.720
#> 291C6B0B-7866-409D-921F-13C16550980B 1 0.6997 -0.08847 0.380 0.000 0.000 0.148 0.104 0.368
#> C4438FAD-0005-4E68-B9AF-FA561A51337C 6 0.6218 0.21172 0.064 0.000 0.324 0.000 0.100 0.512
#> F2465BD5-251A-41AB-A817-8C8D84D57D68 1 0.4894 0.53846 0.672 0.000 0.000 0.180 0.004 0.144
#> B6B5B88A-AA78-4A52-BCC7-DBAEBF57C03B 3 0.3810 0.28437 0.000 0.428 0.572 0.000 0.000 0.000
#> 2266DAD2-AEB5-4536-BCA2-39A6E5548039 6 0.5720 0.32724 0.172 0.000 0.356 0.000 0.000 0.472
#> 6D30C7C7-CA2E-41E5-B046-AB925811044D 4 0.3813 0.59059 0.008 0.000 0.000 0.792 0.092 0.108
#> 02A0454E-7B87-4649-A99A-98D6DDC27AFF 2 0.5477 -0.09077 0.000 0.476 0.000 0.096 0.420 0.008
#> E2A378CB-2E5B-48C9-8F4F-33CCEF0FA050 3 0.1375 0.75272 0.004 0.008 0.952 0.028 0.008 0.000
#> B24F602F-159E-4EC4-B026-ADFEFAA8E9C0 1 0.5485 0.20224 0.512 0.000 0.012 0.000 0.384 0.092
#> C5E6C4BD-7E74-4CEC-8988-F14E9E786ED5 2 0.3646 0.68988 0.004 0.804 0.000 0.008 0.136 0.048
#> 379E76D4-6781-4F31-94EA-078E18F4FF7E 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 8A86E7ED-38E1-4207-BCC9-07A423AF0ADC 2 0.0000 0.88118 0.000 1.000 0.000 0.000 0.000 0.000
#> 93CD73AE-D27B-4031-87D5-6EC56C5437F9 1 0.4806 0.54233 0.684 0.000 0.000 0.164 0.004 0.148
#> 0E942B03-D2E5-475F-876A-AE092CB34303 4 0.3349 0.46119 0.000 0.000 0.000 0.748 0.244 0.008
#> 5312D4D9-DFB8-4DC8-B3B7-8EF1657F7A88 1 0.4117 0.53184 0.752 0.000 0.004 0.000 0.160 0.084
#> 6D3546B3-5C79-4304-B2D0-E4381391B791 4 0.4022 0.56885 0.004 0.000 0.000 0.764 0.088 0.144
#> 8756916D-FF7D-42B0-A007-E25CFF7E776C 3 0.1267 0.74694 0.000 0.060 0.940 0.000 0.000 0.000
#> 9DEDB10B-93F0-45EB-994C-2A728ACA64E2 5 0.5932 0.06640 0.000 0.000 0.000 0.336 0.440 0.224
#> 2B98B19D-4428-4F50-8DA1-C3BA822EB260 1 0.4312 0.54222 0.724 0.000 0.000 0.064 0.008 0.204
#> D893C8CA-F9AF-4A04-84B5-B1A045E98FE1 4 0.5574 0.28596 0.056 0.352 0.000 0.552 0.036 0.004
#> 62272C06-4D83-4DD6-90AF-B0C526CF47C6 1 0.3743 0.61792 0.792 0.000 0.000 0.152 0.024 0.032
#> 6F220097-8D85-4ECE-96AE-15E2AF75DC9E 4 0.5159 0.18484 0.408 0.000 0.000 0.524 0.016 0.052
#> 1D8C2704-E7D7-4CA7-9082-D089BA61BCB1 4 0.6835 0.21025 0.088 0.000 0.000 0.420 0.348 0.144
#> C3E1D07C-760E-4476-B9C4-BCC3B470A9D7 1 0.6932 0.21172 0.484 0.000 0.212 0.112 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.
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