Date: 2019-12-26 01:33:11 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 17033 rows and 424 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] 17033 424
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| ATC:pam | 2 | 0.928 | 0.917 | 0.964 | * | |
| ATC:kmeans | 3 | 0.923 | 0.926 | 0.969 | * | 2 |
| ATC:skmeans | 5 | 0.911 | 0.867 | 0.932 | * | 2 |
| CV:skmeans | 2 | 0.894 | 0.919 | 0.967 | ||
| CV:kmeans | 2 | 0.881 | 0.918 | 0.961 | ||
| SD:skmeans | 2 | 0.871 | 0.918 | 0.966 | ||
| ATC:NMF | 2 | 0.862 | 0.926 | 0.968 | ||
| SD:kmeans | 2 | 0.836 | 0.914 | 0.962 | ||
| MAD:skmeans | 2 | 0.816 | 0.886 | 0.955 | ||
| MAD:kmeans | 2 | 0.809 | 0.887 | 0.954 | ||
| CV:NMF | 2 | 0.798 | 0.902 | 0.943 | ||
| SD:NMF | 3 | 0.782 | 0.848 | 0.931 | ||
| CV:hclust | 2 | 0.716 | 0.889 | 0.944 | ||
| MAD:NMF | 2 | 0.673 | 0.843 | 0.933 | ||
| MAD:pam | 3 | 0.623 | 0.762 | 0.897 | ||
| CV:pam | 2 | 0.565 | 0.834 | 0.916 | ||
| ATC:mclust | 4 | 0.541 | 0.689 | 0.810 | ||
| SD:pam | 3 | 0.533 | 0.769 | 0.877 | ||
| MAD:mclust | 3 | 0.458 | 0.786 | 0.850 | ||
| CV:mclust | 3 | 0.449 | 0.728 | 0.859 | ||
| SD:mclust | 3 | 0.381 | 0.577 | 0.798 | ||
| ATC:hclust | 2 | 0.293 | 0.627 | 0.838 | ||
| SD:hclust | 3 | 0.253 | 0.612 | 0.763 | ||
| MAD:hclust | 2 | 0.224 | 0.691 | 0.828 |
**: 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 0.682 0.829 0.929 0.488 0.499 0.499
#> CV:NMF 2 0.798 0.902 0.943 0.490 0.512 0.512
#> MAD:NMF 2 0.673 0.843 0.933 0.489 0.501 0.501
#> ATC:NMF 2 0.862 0.926 0.968 0.481 0.518 0.518
#> SD:skmeans 2 0.871 0.918 0.966 0.498 0.501 0.501
#> CV:skmeans 2 0.894 0.919 0.967 0.492 0.510 0.510
#> MAD:skmeans 2 0.816 0.886 0.955 0.501 0.500 0.500
#> ATC:skmeans 2 1.000 0.988 0.996 0.502 0.499 0.499
#> SD:mclust 2 0.199 0.498 0.730 0.394 0.676 0.676
#> CV:mclust 2 0.241 0.452 0.713 0.369 0.500 0.500
#> MAD:mclust 2 0.612 0.788 0.886 0.333 0.743 0.743
#> ATC:mclust 2 0.663 0.919 0.945 0.245 0.799 0.799
#> SD:kmeans 2 0.836 0.914 0.962 0.478 0.520 0.520
#> CV:kmeans 2 0.881 0.918 0.961 0.438 0.558 0.558
#> MAD:kmeans 2 0.809 0.887 0.954 0.490 0.512 0.512
#> ATC:kmeans 2 1.000 0.990 0.995 0.501 0.499 0.499
#> SD:pam 2 0.509 0.731 0.874 0.423 0.542 0.542
#> CV:pam 2 0.565 0.834 0.916 0.463 0.521 0.521
#> MAD:pam 2 0.343 0.770 0.859 0.370 0.676 0.676
#> ATC:pam 2 0.928 0.917 0.964 0.444 0.547 0.547
#> SD:hclust 2 0.363 0.715 0.866 0.336 0.702 0.702
#> CV:hclust 2 0.716 0.889 0.944 0.235 0.767 0.767
#> MAD:hclust 2 0.224 0.691 0.828 0.404 0.567 0.567
#> ATC:hclust 2 0.293 0.627 0.838 0.439 0.500 0.500
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.782 0.848 0.931 0.357 0.678 0.443
#> CV:NMF 3 0.797 0.843 0.927 0.343 0.689 0.466
#> MAD:NMF 3 0.543 0.740 0.861 0.347 0.667 0.431
#> ATC:NMF 3 0.516 0.661 0.842 0.328 0.699 0.483
#> SD:skmeans 3 0.643 0.805 0.903 0.322 0.763 0.559
#> CV:skmeans 3 0.852 0.898 0.952 0.313 0.776 0.588
#> MAD:skmeans 3 0.658 0.735 0.877 0.319 0.752 0.543
#> ATC:skmeans 3 0.787 0.811 0.839 0.227 0.822 0.655
#> SD:mclust 3 0.381 0.577 0.798 0.441 0.626 0.501
#> CV:mclust 3 0.449 0.728 0.859 0.587 0.788 0.620
#> MAD:mclust 3 0.458 0.786 0.850 0.681 0.644 0.534
#> ATC:mclust 3 0.322 0.563 0.764 1.362 0.609 0.513
#> SD:kmeans 3 0.664 0.850 0.901 0.292 0.769 0.590
#> CV:kmeans 3 0.408 0.557 0.723 0.371 0.769 0.609
#> MAD:kmeans 3 0.857 0.879 0.950 0.259 0.710 0.509
#> ATC:kmeans 3 0.923 0.926 0.969 0.296 0.649 0.417
#> SD:pam 3 0.533 0.769 0.877 0.408 0.630 0.447
#> CV:pam 3 0.326 0.606 0.809 0.227 0.788 0.644
#> MAD:pam 3 0.623 0.762 0.897 0.613 0.715 0.587
#> ATC:pam 3 0.757 0.883 0.945 0.410 0.811 0.659
#> SD:hclust 3 0.253 0.612 0.763 0.545 0.738 0.641
#> CV:hclust 3 0.504 0.756 0.890 0.268 0.994 0.992
#> MAD:hclust 3 0.193 0.543 0.742 0.271 0.839 0.735
#> ATC:hclust 3 0.444 0.668 0.837 0.421 0.639 0.411
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.675 0.625 0.832 0.124 0.817 0.526
#> CV:NMF 4 0.652 0.737 0.841 0.126 0.823 0.544
#> MAD:NMF 4 0.602 0.634 0.811 0.127 0.846 0.587
#> ATC:NMF 4 0.496 0.506 0.744 0.144 0.798 0.493
#> SD:skmeans 4 0.712 0.587 0.822 0.120 0.853 0.606
#> CV:skmeans 4 0.695 0.654 0.811 0.142 0.862 0.634
#> MAD:skmeans 4 0.725 0.724 0.857 0.121 0.847 0.592
#> ATC:skmeans 4 0.796 0.811 0.910 0.123 0.849 0.629
#> SD:mclust 4 0.514 0.509 0.769 0.202 0.634 0.363
#> CV:mclust 4 0.448 0.448 0.715 0.194 0.882 0.720
#> MAD:mclust 4 0.497 0.686 0.815 0.239 0.740 0.473
#> ATC:mclust 4 0.541 0.689 0.810 0.227 0.671 0.356
#> SD:kmeans 4 0.585 0.496 0.719 0.158 0.834 0.614
#> CV:kmeans 4 0.455 0.625 0.715 0.151 0.776 0.509
#> MAD:kmeans 4 0.612 0.645 0.806 0.162 0.803 0.546
#> ATC:kmeans 4 0.882 0.864 0.943 0.134 0.762 0.443
#> SD:pam 4 0.527 0.617 0.813 0.215 0.797 0.551
#> CV:pam 4 0.498 0.607 0.808 0.177 0.855 0.696
#> MAD:pam 4 0.532 0.452 0.688 0.220 0.763 0.490
#> ATC:pam 4 0.790 0.839 0.928 0.168 0.761 0.455
#> SD:hclust 4 0.258 0.484 0.677 0.158 0.832 0.688
#> CV:hclust 4 0.361 0.690 0.838 0.250 0.983 0.978
#> MAD:hclust 4 0.250 0.349 0.648 0.208 0.850 0.733
#> ATC:hclust 4 0.530 0.634 0.788 0.153 0.818 0.552
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.689 0.633 0.801 0.0670 0.874 0.568
#> CV:NMF 5 0.722 0.647 0.829 0.0734 0.885 0.602
#> MAD:NMF 5 0.699 0.713 0.845 0.0688 0.831 0.462
#> ATC:NMF 5 0.649 0.672 0.802 0.0811 0.829 0.458
#> SD:skmeans 5 0.770 0.724 0.857 0.0662 0.896 0.645
#> CV:skmeans 5 0.689 0.648 0.825 0.0728 0.884 0.603
#> MAD:skmeans 5 0.780 0.694 0.843 0.0634 0.916 0.702
#> ATC:skmeans 5 0.911 0.867 0.932 0.0875 0.893 0.678
#> SD:mclust 5 0.446 0.477 0.708 0.0737 0.780 0.466
#> CV:mclust 5 0.459 0.344 0.636 0.0942 0.836 0.544
#> MAD:mclust 5 0.486 0.362 0.624 0.0823 0.793 0.429
#> ATC:mclust 5 0.512 0.512 0.698 0.0638 0.917 0.717
#> SD:kmeans 5 0.666 0.639 0.783 0.0862 0.781 0.437
#> CV:kmeans 5 0.535 0.534 0.709 0.0978 0.889 0.656
#> MAD:kmeans 5 0.650 0.344 0.600 0.0860 0.879 0.647
#> ATC:kmeans 5 0.709 0.687 0.828 0.0679 0.840 0.488
#> SD:pam 5 0.634 0.638 0.807 0.0792 0.826 0.469
#> CV:pam 5 0.619 0.704 0.843 0.1283 0.793 0.486
#> MAD:pam 5 0.669 0.717 0.834 0.0817 0.809 0.433
#> ATC:pam 5 0.765 0.741 0.821 0.0760 0.884 0.602
#> SD:hclust 5 0.292 0.398 0.599 0.1066 0.859 0.678
#> CV:hclust 5 0.293 0.585 0.786 0.2007 0.959 0.945
#> MAD:hclust 5 0.315 0.439 0.630 0.1233 0.720 0.475
#> ATC:hclust 5 0.597 0.580 0.769 0.0648 0.926 0.744
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.780 0.717 0.853 0.0396 0.867 0.477
#> CV:NMF 6 0.781 0.692 0.853 0.0410 0.875 0.504
#> MAD:NMF 6 0.734 0.708 0.828 0.0423 0.867 0.475
#> ATC:NMF 6 0.675 0.645 0.781 0.0490 0.878 0.510
#> SD:skmeans 6 0.804 0.701 0.848 0.0554 0.898 0.586
#> CV:skmeans 6 0.774 0.730 0.861 0.0476 0.912 0.621
#> MAD:skmeans 6 0.807 0.681 0.842 0.0530 0.912 0.641
#> ATC:skmeans 6 0.820 0.739 0.874 0.0393 0.981 0.926
#> SD:mclust 6 0.538 0.393 0.625 0.0870 0.807 0.402
#> CV:mclust 6 0.512 0.346 0.616 0.0551 0.861 0.494
#> MAD:mclust 6 0.558 0.449 0.646 0.0686 0.875 0.526
#> ATC:mclust 6 0.570 0.420 0.648 0.0507 0.928 0.720
#> SD:kmeans 6 0.757 0.522 0.710 0.0549 0.839 0.460
#> CV:kmeans 6 0.664 0.586 0.729 0.0562 0.881 0.565
#> MAD:kmeans 6 0.757 0.655 0.778 0.0529 0.828 0.458
#> ATC:kmeans 6 0.720 0.587 0.739 0.0432 0.859 0.459
#> SD:pam 6 0.693 0.468 0.709 0.0555 0.872 0.498
#> CV:pam 6 0.626 0.594 0.778 0.0576 0.959 0.835
#> MAD:pam 6 0.677 0.523 0.742 0.0463 0.910 0.615
#> ATC:pam 6 0.822 0.689 0.861 0.0461 0.908 0.611
#> SD:hclust 6 0.339 0.339 0.589 0.0701 0.873 0.639
#> CV:hclust 6 0.278 0.484 0.737 0.1558 0.926 0.897
#> MAD:hclust 6 0.391 0.347 0.586 0.0571 0.925 0.767
#> ATC:hclust 6 0.622 0.493 0.709 0.0370 0.950 0.803
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.363 0.715 0.866 0.3359 0.702 0.702
#> 3 3 0.253 0.612 0.763 0.5449 0.738 0.641
#> 4 4 0.258 0.484 0.677 0.1582 0.832 0.688
#> 5 5 0.292 0.398 0.599 0.1066 0.859 0.678
#> 6 6 0.339 0.339 0.589 0.0701 0.873 0.639
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0376 0.85086 0.004 0.996
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0376 0.84853 0.004 0.996
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5059 0.77144 0.888 0.112
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6148 0.78423 0.152 0.848
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0376 0.84853 0.004 0.996
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2423 0.84908 0.040 0.960
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0376 0.84853 0.004 0.996
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.9983 -0.00747 0.476 0.524
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.6887 0.76359 0.184 0.816
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.2778 0.77209 0.952 0.048
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0376 0.85052 0.004 0.996
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0376 0.84853 0.004 0.996
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0672 0.85107 0.008 0.992
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.8267 0.66426 0.260 0.740
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.9896 0.16189 0.440 0.560
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.2778 0.84572 0.048 0.952
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3114 0.77229 0.944 0.056
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.9775 0.28134 0.412 0.588
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0672 0.85107 0.008 0.992
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0672 0.85107 0.008 0.992
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 1.0000 -0.07708 0.496 0.504
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#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0376 0.84853 0.004 0.996
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.9795 0.28759 0.416 0.584
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0376 0.75170 0.996 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0376 0.84853 0.004 0.996
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0376 0.84853 0.004 0.996
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1184 0.85155 0.016 0.984
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0672 0.85107 0.008 0.992
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.9754 0.27911 0.408 0.592
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.2948 0.84774 0.052 0.948
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0672 0.85107 0.008 0.992
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.8327 0.63906 0.264 0.736
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0376 0.75170 0.996 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.8813 0.57727 0.300 0.700
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0376 0.84853 0.004 0.996
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.4022 0.83459 0.080 0.920
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0938 0.85181 0.012 0.988
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.8016 0.67586 0.244 0.756
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6343 0.78229 0.160 0.840
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0672 0.85107 0.008 0.992
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0938 0.85210 0.012 0.988
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1843 0.85205 0.028 0.972
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0376 0.84853 0.004 0.996
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.8763 0.59921 0.296 0.704
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0376 0.84853 0.004 0.996
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0376 0.85086 0.004 0.996
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6531 0.77294 0.168 0.832
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.8661 0.66234 0.712 0.288
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 1.0000 0.13330 0.500 0.500
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.1184 0.85155 0.016 0.984
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0376 0.75170 0.996 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.4022 0.83459 0.080 0.920
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.9881 0.21361 0.436 0.564
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0938 0.85164 0.012 0.988
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.5059 0.81544 0.112 0.888
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.2711 0.79894 0.088 0.912 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.1753 0.78060 0.048 0.952 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 3 0.6427 0.62132 0.348 0.012 0.640
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6810 0.60689 0.212 0.720 0.068
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.1643 0.77878 0.044 0.956 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.3213 0.79052 0.092 0.900 0.008
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.1643 0.77878 0.044 0.956 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.6850 0.57128 0.740 0.120 0.140
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.7824 0.28072 0.376 0.564 0.060
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 3 0.3879 0.80249 0.152 0.000 0.848
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.1753 0.78894 0.048 0.952 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.1643 0.77878 0.044 0.956 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.2066 0.79665 0.060 0.940 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.8452 0.16281 0.340 0.556 0.104
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.7963 0.62663 0.660 0.188 0.152
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3500 0.78254 0.116 0.880 0.004
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 3 0.4842 0.78258 0.224 0.000 0.776
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.8355 0.64115 0.616 0.244 0.140
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.2448 0.79708 0.076 0.924 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.2261 0.79632 0.068 0.932 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.9145 0.58375 0.544 0.216 0.240
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.1643 0.77878 0.044 0.956 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.7901 0.14625 0.400 0.540 0.060
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.1643 0.77878 0.044 0.956 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.6684 0.59266 0.676 0.292 0.032
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.8836 0.00322 0.368 0.508 0.124
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1289 0.79644 0.032 0.968 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.2711 0.80033 0.088 0.912 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.1753 0.78894 0.048 0.952 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.3573 0.78386 0.120 0.876 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.1643 0.77878 0.044 0.956 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 3 0.3816 0.80564 0.148 0.000 0.852
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.2261 0.79632 0.068 0.932 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.8836 0.00322 0.368 0.508 0.124
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 3 0.5327 0.73876 0.272 0.000 0.728
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.9445 0.56899 0.472 0.336 0.192
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.8071 0.54053 0.564 0.360 0.076
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.5393 0.73077 0.148 0.808 0.044
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.2096 0.80138 0.052 0.944 0.004
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2066 0.80155 0.060 0.940 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.6931 0.18988 0.528 0.456 0.016
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.2261 0.79632 0.068 0.932 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.1753 0.78013 0.048 0.952 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.4411 0.76673 0.140 0.844 0.016
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.7796 0.49746 0.552 0.392 0.056
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.7796 0.49746 0.552 0.392 0.056
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.7699 0.35261 0.532 0.420 0.048
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.9021 0.62045 0.552 0.264 0.184
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.8710 0.01750 0.380 0.508 0.112
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 3 0.5835 0.66508 0.340 0.000 0.660
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1860 0.80070 0.052 0.948 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.1643 0.77878 0.044 0.956 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.7513 0.38720 0.344 0.604 0.052
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.9570 0.52597 0.448 0.348 0.204
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 3 0.5835 0.66508 0.340 0.000 0.660
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.7283 0.53816 0.708 0.116 0.176
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.6407 0.59943 0.272 0.700 0.028
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.7534 0.41324 0.532 0.428 0.040
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.1643 0.80251 0.044 0.956 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 3 0.3816 0.80281 0.148 0.000 0.852
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.9145 0.58375 0.544 0.216 0.240
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3715 0.77290 0.128 0.868 0.004
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.7601 0.01812 0.540 0.044 0.416
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.6603 0.49703 0.332 0.648 0.020
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.7297 0.54766 0.708 0.120 0.172
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1643 0.80034 0.044 0.956 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.1643 0.77878 0.044 0.956 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5012 0.72813 0.204 0.788 0.008
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 3 0.5835 0.66508 0.340 0.000 0.660
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.7525 0.47992 0.676 0.096 0.228
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.1411 0.79845 0.036 0.964 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.1643 0.77878 0.044 0.956 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.3349 0.78835 0.108 0.888 0.004
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.1643 0.77878 0.044 0.956 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 3 0.4504 0.78675 0.196 0.000 0.804
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1753 0.80052 0.048 0.952 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.7329 0.21297 0.424 0.544 0.032
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.1643 0.77878 0.044 0.956 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.6047 0.56457 0.312 0.680 0.008
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.7457 0.63685 0.688 0.208 0.104
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.6955 0.13490 0.636 0.032 0.332
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.8384 0.06038 0.392 0.520 0.088
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 3 0.4575 0.78792 0.184 0.004 0.812
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.8028 0.37471 0.288 0.616 0.096
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.2066 0.79853 0.060 0.940 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.2590 0.80062 0.072 0.924 0.004
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.1753 0.78894 0.048 0.952 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.1753 0.79267 0.048 0.952 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.2261 0.79632 0.068 0.932 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.6421 -0.19256 0.572 0.004 0.424
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.4399 0.42007 0.864 0.044 0.092
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.7651 0.62667 0.680 0.196 0.124
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.6359 0.31625 0.404 0.592 0.004
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.3267 0.79174 0.116 0.884 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.1753 0.79165 0.048 0.952 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.7699 0.35261 0.532 0.420 0.048
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.1643 0.77878 0.044 0.956 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.1643 0.77878 0.044 0.956 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.8486 0.35408 0.548 0.104 0.348
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.5291 0.66185 0.268 0.732 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.7601 0.01812 0.540 0.044 0.416
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.1643 0.77878 0.044 0.956 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.6008 0.39640 0.372 0.628 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.3340 0.78661 0.120 0.880 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.2356 0.80054 0.072 0.928 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.1643 0.77878 0.044 0.956 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.9331 0.56264 0.480 0.344 0.176
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.1643 0.77878 0.044 0.956 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.7796 0.49746 0.552 0.392 0.056
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.2711 0.79735 0.088 0.912 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.3752 0.76630 0.144 0.856 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.3879 0.77528 0.152 0.848 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.6672 -0.25673 0.520 0.008 0.472
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.1964 0.78027 0.056 0.944 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.1643 0.77878 0.044 0.956 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.7912 0.12859 0.404 0.536 0.060
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.8028 0.37471 0.288 0.616 0.096
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.7884 0.43987 0.260 0.640 0.100
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.2261 0.79632 0.068 0.932 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 3 0.5623 0.72890 0.280 0.004 0.716
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.8710 -0.05244 0.380 0.508 0.112
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.8977 0.57213 0.560 0.188 0.252
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.5216 0.64323 0.260 0.740 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 1 0.6954 0.06229 0.500 0.484 0.016
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.2448 0.80272 0.076 0.924 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.2066 0.79665 0.060 0.940 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.3573 0.79159 0.120 0.876 0.004
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.1643 0.77878 0.044 0.956 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 1 0.6570 0.56730 0.668 0.308 0.024
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.3965 0.77816 0.132 0.860 0.008
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.6955 0.13490 0.636 0.032 0.332
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.3769 0.79021 0.104 0.880 0.016
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.8460 0.48393 0.600 0.136 0.264
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.3375 0.78827 0.100 0.892 0.008
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.6730 0.56112 0.284 0.680 0.036
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.5016 0.67747 0.240 0.760 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 3 0.0000 0.79642 0.000 0.000 1.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.5573 0.59679 0.796 0.160 0.044
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.2902 0.79824 0.064 0.920 0.016
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#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.1860 0.80175 0.052 0.948 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.7012 0.51324 0.308 0.652 0.040
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.1643 0.77878 0.044 0.956 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.7890 0.05310 0.432 0.512 0.056
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.3425 0.78357 0.112 0.884 0.004
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.2261 0.78414 0.068 0.932 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.7065 0.42627 0.352 0.616 0.032
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.2261 0.80142 0.068 0.932 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.5291 0.66185 0.268 0.732 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.7727 0.55840 0.600 0.336 0.064
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.1643 0.77878 0.044 0.956 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.1643 0.80048 0.044 0.956 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.5000 0.54728 0.832 0.124 0.044
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.2959 0.79728 0.100 0.900 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.8731 0.32507 0.528 0.120 0.352
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.2066 0.79665 0.060 0.940 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.1643 0.77878 0.044 0.956 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.6441 0.62860 0.696 0.276 0.028
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.8246 0.35337 0.588 0.100 0.312
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.3425 0.78357 0.112 0.884 0.004
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 3 0.0237 0.79672 0.004 0.000 0.996
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.7890 0.16490 0.396 0.544 0.060
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.5420 0.67902 0.240 0.752 0.008
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.6410 0.26601 0.420 0.576 0.004
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.7824 0.28072 0.376 0.564 0.060
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.8390 0.30480 0.560 0.100 0.340
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.7531 0.46556 0.672 0.092 0.236
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 3 0.0000 0.79642 0.000 0.000 1.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.6834 0.59265 0.260 0.692 0.048
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.1643 0.77878 0.044 0.956 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.7648 0.06756 0.552 0.048 0.400
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.9390 0.59060 0.488 0.320 0.192
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.2066 0.79665 0.060 0.940 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.8104 0.43834 0.280 0.616 0.104
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.1753 0.77816 0.048 0.952 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 3 0.3234 0.74717 0.072 0.020 0.908
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 3 0.3234 0.74717 0.072 0.020 0.908
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.3038 0.78515 0.104 0.896 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.2711 0.80033 0.088 0.912 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 3 0.7164 0.55637 0.316 0.044 0.640
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5560 0.57347 0.300 0.700 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.8355 0.64115 0.616 0.244 0.140
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.7796 0.49746 0.552 0.392 0.056
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.1964 0.78027 0.056 0.944 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 3 0.0000 0.79642 0.000 0.000 1.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.7437 0.63209 0.692 0.200 0.108
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.1643 0.77878 0.044 0.956 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.2959 0.78871 0.100 0.900 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 3 0.3816 0.80322 0.148 0.000 0.852
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.6414 0.63929 0.248 0.716 0.036
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.6688 0.22647 0.664 0.028 0.308
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 3 0.5098 0.75315 0.248 0.000 0.752
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.7447 0.45364 0.280 0.652 0.068
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.1643 0.77878 0.044 0.956 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1753 0.79989 0.048 0.952 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 3 0.1031 0.80189 0.024 0.000 0.976
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.7666 0.62383 0.680 0.192 0.128
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.2356 0.80229 0.072 0.928 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.7916 0.42973 0.264 0.636 0.100
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4873 0.75134 0.152 0.824 0.024
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.8648 0.14663 0.332 0.548 0.120
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.9021 0.62045 0.552 0.264 0.184
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.9021 0.62045 0.552 0.264 0.184
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.6225 0.29303 0.432 0.568 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.2878 0.79600 0.096 0.904 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.2878 0.79600 0.096 0.904 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3112 0.79750 0.096 0.900 0.004
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.7739 0.45547 0.268 0.644 0.088
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.9417 -0.29207 0.384 0.440 0.176
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5560 0.57347 0.300 0.700 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2959 0.79728 0.100 0.900 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.1643 0.77878 0.044 0.956 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.1643 0.80015 0.044 0.956 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3349 0.79598 0.108 0.888 0.004
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.6355 0.59183 0.696 0.280 0.024
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.1643 0.77878 0.044 0.956 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.1643 0.77878 0.044 0.956 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.9570 0.52597 0.448 0.348 0.204
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 3 0.0000 0.79642 0.000 0.000 1.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.1643 0.77878 0.044 0.956 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.1643 0.77878 0.044 0.956 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.2356 0.80054 0.072 0.928 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.2261 0.79632 0.068 0.932 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.4479 0.52188 0.860 0.096 0.044
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5268 0.70672 0.212 0.776 0.012
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2165 0.79646 0.064 0.936 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.7517 0.56912 0.588 0.364 0.048
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 3 0.0000 0.79642 0.000 0.000 1.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.6264 0.60983 0.716 0.256 0.028
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.1964 0.78027 0.056 0.944 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.5681 0.68707 0.236 0.748 0.016
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.4121 0.75542 0.168 0.832 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.8573 0.01213 0.372 0.524 0.104
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6758 0.43415 0.360 0.620 0.020
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.2711 0.79622 0.088 0.912 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1964 0.80189 0.056 0.944 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5178 0.66590 0.256 0.744 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2959 0.78871 0.100 0.900 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9024 0.33518 0.448 0.420 0.132
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.1643 0.77878 0.044 0.956 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.1964 0.80179 0.056 0.944 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.7101 0.58354 0.216 0.704 0.080
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.7945 0.16999 0.548 0.064 0.388
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.8835 0.56177 0.576 0.180 0.244
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.2261 0.80077 0.068 0.932 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 3 0.0000 0.79642 0.000 0.000 1.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5639 0.69096 0.232 0.752 0.016
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.9488 0.59238 0.480 0.312 0.208
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3112 0.80010 0.096 0.900 0.004
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.6169 0.48016 0.360 0.636 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4832 7.57e-01 0.176 0.056 0.000 0.768
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0672 7.65e-01 0.008 0.008 0.000 0.984
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 3 0.7758 5.46e-01 0.292 0.272 0.436 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.7051 3.66e-01 0.336 0.084 0.020 0.560
#> 622A8E32-1738-4F33-9108-39573001E650 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4123 7.50e-01 0.220 0.008 0.000 0.772
#> FAE38724-0757-45E5-818D-9DFE1C132796 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.6315 -8.79e-02 0.660 0.260 0.056 0.024
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.6382 1.66e-01 0.560 0.052 0.008 0.380
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 3 0.5862 7.34e-01 0.148 0.148 0.704 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 4 0.1824 7.70e-01 0.060 0.004 0.000 0.936
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 4 0.0376 7.63e-01 0.004 0.004 0.000 0.992
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4050 7.64e-01 0.168 0.024 0.000 0.808
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.7368 3.00e-01 0.520 0.104 0.020 0.356
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.6340 -1.43e-02 0.676 0.236 0.052 0.036
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4295 7.34e-01 0.240 0.008 0.000 0.752
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 3 0.6852 6.85e-01 0.192 0.208 0.600 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.7428 1.09e-01 0.592 0.260 0.040 0.108
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4761 7.50e-01 0.192 0.044 0.000 0.764
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4418 7.57e-01 0.184 0.032 0.000 0.784
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.7165 1.72e-01 0.652 0.192 0.084 0.072
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.7140 3.01e-01 0.524 0.100 0.012 0.364
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.7407 4.65e-01 0.260 0.516 0.000 0.224
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.7559 3.43e-01 0.540 0.108 0.032 0.320
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.2401 7.82e-01 0.092 0.004 0.000 0.904
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.3768 7.70e-01 0.184 0.008 0.000 0.808
#> D5024D0C-762B-4C90-9285-429F32CF79E7 4 0.1824 7.70e-01 0.060 0.004 0.000 0.936
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.4353 7.43e-01 0.232 0.012 0.000 0.756
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 3 0.5855 7.36e-01 0.136 0.160 0.704 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.4590 7.53e-01 0.192 0.036 0.000 0.772
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.7559 3.43e-01 0.540 0.108 0.032 0.320
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 3 0.7054 6.46e-01 0.232 0.196 0.572 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.7808 2.96e-01 0.592 0.164 0.056 0.188
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.6446 2.58e-01 0.664 0.124 0.008 0.204
#> AA273C14-F561-46DA-A645-429A1112FC50 4 0.5955 6.40e-01 0.180 0.080 0.020 0.720
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.3271 7.82e-01 0.132 0.012 0.000 0.856
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.3335 7.81e-01 0.120 0.020 0.000 0.860
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.7448 1.66e-01 0.172 0.428 0.000 0.400
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4590 7.53e-01 0.192 0.036 0.000 0.772
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 4 0.0524 7.64e-01 0.008 0.004 0.000 0.988
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.4718 7.03e-01 0.280 0.012 0.000 0.708
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.6499 2.00e-01 0.636 0.112 0.004 0.248
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.6499 2.00e-01 0.636 0.112 0.004 0.248
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.7122 2.39e-01 0.568 0.156 0.004 0.272
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.7714 1.27e-01 0.568 0.280 0.076 0.076
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.7568 3.31e-01 0.528 0.104 0.032 0.336
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 3 0.7464 6.05e-01 0.296 0.208 0.496 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.2773 7.83e-01 0.116 0.004 0.000 0.880
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.6469 1.75e-02 0.520 0.052 0.008 0.420
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.7945 2.74e-01 0.584 0.172 0.064 0.180
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#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.3638 7.79e-01 0.120 0.032 0.000 0.848
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 3 0.1356 7.33e-01 0.008 0.032 0.960 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5180 7.63e-02 0.768 0.168 0.020 0.044
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.3808 7.77e-01 0.176 0.012 0.000 0.812
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.7301 1.69e-02 0.436 0.088 0.020 0.456
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.5038 6.82e-01 0.296 0.020 0.000 0.684
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.8031 3.06e-01 0.456 0.124 0.040 0.380
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.7714 1.27e-01 0.568 0.280 0.076 0.076
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.7714 1.27e-01 0.568 0.280 0.076 0.076
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 4 0.7063 9.08e-02 0.132 0.360 0.000 0.508
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4998 7.43e-01 0.200 0.052 0.000 0.748
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4998 7.43e-01 0.200 0.052 0.000 0.748
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.5160 7.48e-01 0.180 0.072 0.000 0.748
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.7297 6.91e-02 0.428 0.088 0.020 0.464
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.7968 3.17e-01 0.548 0.144 0.048 0.260
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 4 0.5810 4.55e-01 0.064 0.276 0.000 0.660
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4163 7.69e-01 0.188 0.020 0.000 0.792
#> 06CCB23C-062F-421D-A04A-394AE7F55987 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.2909 7.81e-01 0.092 0.020 0.000 0.888
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.4425 7.64e-01 0.160 0.036 0.004 0.800
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.6690 4.96e-01 0.188 0.620 0.000 0.192
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 4 0.0376 7.63e-01 0.004 0.004 0.000 0.992
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.7945 2.74e-01 0.584 0.172 0.064 0.180
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 3 0.0000 7.25e-01 0.000 0.000 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 297B9132-C6AC-43EF-B898-E4821808F857 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.3895 7.70e-01 0.184 0.012 0.000 0.804
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4590 7.53e-01 0.192 0.036 0.000 0.772
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.6083 6.13e-01 0.360 0.584 0.000 0.056
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.5789 5.66e-01 0.336 0.036 0.004 0.624
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.4365 7.57e-01 0.188 0.028 0.000 0.784
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.6959 1.11e-01 0.616 0.176 0.008 0.200
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 3 0.0336 7.22e-01 0.000 0.008 0.992 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.7241 5.57e-01 0.276 0.536 0.000 0.188
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.1209 7.60e-01 0.032 0.004 0.000 0.964
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.6698 5.05e-01 0.340 0.104 0.000 0.556
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.6056 6.57e-01 0.248 0.092 0.000 0.660
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.7807 3.02e-01 0.484 0.128 0.028 0.360
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.6559 -1.32e-01 0.468 0.076 0.000 0.456
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4761 7.52e-01 0.192 0.044 0.000 0.764
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.3443 7.81e-01 0.136 0.016 0.000 0.848
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.6966 4.41e-01 0.328 0.132 0.000 0.540
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3149 7.52e-01 0.032 0.088 0.000 0.880
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.8655 2.21e-01 0.448 0.260 0.048 0.244
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 4 0.0188 7.61e-01 0.000 0.004 0.000 0.996
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4206 7.74e-01 0.136 0.048 0.000 0.816
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.7118 3.23e-01 0.356 0.084 0.020 0.540
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.8104 -4.75e-02 0.504 0.280 0.184 0.032
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.8779 -7.83e-02 0.500 0.240 0.148 0.112
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3808 7.71e-01 0.176 0.012 0.000 0.812
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 3 0.0000 7.25e-01 0.000 0.000 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.6649 5.13e-01 0.340 0.100 0.000 0.560
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.7826 2.55e-01 0.600 0.176 0.068 0.156
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.4356 7.73e-01 0.140 0.044 0.004 0.812
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 4 0.7016 3.01e-01 0.128 0.308 0.004 0.560
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 3 0.4876 0.45047 0.000 0.028 0.576 0.396 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.2068 0.62172 0.000 0.004 0.904 0.092 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.5436 -0.18262 0.356 0.040 0.000 0.016 0.588
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.7385 -0.13218 0.012 0.040 0.460 0.340 0.148
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0290 0.63364 0.000 0.000 0.992 0.008 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.4415 0.48730 0.000 0.000 0.604 0.388 0.008
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.63179 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.7519 0.33064 0.036 0.236 0.004 0.308 0.416
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.6973 0.52735 0.008 0.032 0.244 0.548 0.168
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4581 0.63377 0.624 0.012 0.000 0.004 0.360
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2270 0.62121 0.000 0.004 0.908 0.072 0.016
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0404 0.63490 0.000 0.000 0.988 0.012 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 3 0.4251 0.51345 0.000 0.004 0.624 0.372 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.7639 0.45629 0.012 0.036 0.252 0.444 0.256
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.7750 -0.48317 0.040 0.192 0.016 0.376 0.376
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 3 0.4201 0.46112 0.000 0.000 0.592 0.408 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.5658 0.51050 0.520 0.068 0.000 0.004 0.408
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.7817 -0.24228 0.032 0.208 0.036 0.472 0.252
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 3 0.4861 0.41317 0.000 0.024 0.548 0.428 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 3 0.4375 0.45661 0.000 0.004 0.576 0.420 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.5915 0.40836 0.032 0.020 0.024 0.328 0.596
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0162 0.63084 0.000 0.000 0.996 0.000 0.004
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.7581 0.38860 0.008 0.048 0.264 0.468 0.212
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.63179 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.6921 0.49260 0.000 0.580 0.176 0.172 0.072
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.7319 0.38405 0.016 0.012 0.228 0.444 0.300
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.2891 0.63465 0.000 0.000 0.824 0.176 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.3969 0.56438 0.000 0.000 0.692 0.304 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.2270 0.62121 0.000 0.004 0.908 0.072 0.016
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 3 0.4449 0.48277 0.000 0.004 0.604 0.388 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0932 0.62283 0.000 0.004 0.972 0.020 0.004
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.4511 0.63942 0.628 0.016 0.000 0.000 0.356
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 3 0.4702 0.41969 0.000 0.016 0.552 0.432 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.7319 0.38405 0.016 0.012 0.228 0.444 0.300
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5980 0.40422 0.496 0.056 0.000 0.024 0.424
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.7336 0.07356 0.028 0.028 0.120 0.368 0.456
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.7868 0.17112 0.000 0.132 0.152 0.448 0.268
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.5812 0.37385 0.016 0.012 0.680 0.180 0.112
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 3 0.3861 0.60124 0.000 0.008 0.728 0.264 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 3 0.3988 0.60763 0.000 0.016 0.732 0.252 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.6818 0.29974 0.000 0.508 0.316 0.144 0.032
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 3 0.4610 0.42544 0.000 0.012 0.556 0.432 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0671 0.63409 0.000 0.000 0.980 0.016 0.004
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 3 0.5002 0.37033 0.000 0.004 0.548 0.424 0.024
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.8098 0.19201 0.000 0.136 0.176 0.396 0.292
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.8098 0.19201 0.000 0.136 0.176 0.396 0.292
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 4 0.7825 0.33071 0.000 0.168 0.176 0.484 0.172
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 5 0.8086 0.29709 0.044 0.180 0.036 0.364 0.376
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.7764 0.42914 0.012 0.036 0.256 0.396 0.300
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 5 0.5277 -0.28203 0.416 0.012 0.000 0.028 0.544
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.3177 0.62545 0.000 0.000 0.792 0.208 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.63179 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.6723 0.47632 0.004 0.024 0.280 0.544 0.148
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.7139 0.07458 0.024 0.016 0.132 0.372 0.456
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.5277 -0.28203 0.416 0.012 0.000 0.028 0.544
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.7247 0.39917 0.044 0.180 0.004 0.268 0.504
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.6408 0.23142 0.004 0.024 0.380 0.508 0.084
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 4 0.8279 0.22204 0.000 0.152 0.216 0.380 0.252
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 3 0.4464 0.57612 0.000 0.008 0.676 0.304 0.012
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.4507 0.64723 0.644 0.012 0.000 0.004 0.340
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 5 0.5900 0.40890 0.032 0.020 0.024 0.324 0.600
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.5544 0.45172 0.000 0.032 0.616 0.316 0.036
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.6096 0.37655 0.136 0.048 0.008 0.128 0.680
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.6137 0.39192 0.000 0.032 0.316 0.576 0.076
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.7278 0.39628 0.044 0.180 0.004 0.276 0.496
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 3 0.3662 0.61524 0.000 0.004 0.744 0.252 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0162 0.63084 0.000 0.000 0.996 0.000 0.004
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.5820 -0.04765 0.000 0.040 0.424 0.508 0.028
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 5 0.5277 -0.28203 0.416 0.012 0.000 0.028 0.544
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.7707 0.40164 0.056 0.192 0.016 0.248 0.488
#> D65DB90F-4495-467D-A204-F67996E1E515 3 0.3990 0.57448 0.000 0.004 0.688 0.308 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0162 0.63309 0.000 0.000 0.996 0.004 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 3 0.4414 0.50087 0.000 0.004 0.616 0.376 0.004
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0290 0.63364 0.000 0.000 0.992 0.008 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.4621 0.58023 0.576 0.008 0.000 0.004 0.412
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 3 0.3934 0.61150 0.000 0.016 0.740 0.244 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.5656 0.34348 0.004 0.120 0.120 0.712 0.044
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.63179 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.5407 0.35877 0.000 0.096 0.228 0.668 0.008
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.6923 0.31764 0.000 0.160 0.024 0.404 0.412
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.7158 0.31245 0.128 0.316 0.000 0.064 0.492
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.7498 0.51206 0.008 0.040 0.244 0.472 0.236
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4791 0.58372 0.588 0.012 0.000 0.008 0.392
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.7792 0.40396 0.012 0.048 0.340 0.400 0.200
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 3 0.4380 0.50811 0.000 0.008 0.616 0.376 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.4217 0.58297 0.000 0.004 0.704 0.280 0.012
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.2270 0.62121 0.000 0.004 0.908 0.072 0.016
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.2189 0.64082 0.000 0.000 0.904 0.084 0.012
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 3 0.4610 0.42544 0.000 0.012 0.556 0.432 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.6789 0.30243 0.184 0.224 0.000 0.036 0.556
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.4065 0.40520 0.008 0.760 0.000 0.020 0.212
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.7014 0.33869 0.008 0.164 0.016 0.364 0.448
#> 5A6AF013-C47E-41BE-9102-07E49330D451 3 0.6229 0.02314 0.000 0.380 0.512 0.088 0.020
#> 814B2873-3E3E-419E-BA53-F65E322D9338 3 0.4608 0.57845 0.000 0.036 0.700 0.260 0.004
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.2828 0.61763 0.000 0.004 0.872 0.104 0.020
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.7851 0.33040 0.000 0.168 0.176 0.480 0.176
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#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.5685 0.18856 0.000 0.052 0.324 0.600 0.024
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.5365 -0.10371 0.000 0.056 0.416 0.528 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.8081 0.36478 0.020 0.048 0.284 0.384 0.264
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.6690 0.42670 0.000 0.060 0.296 0.552 0.092
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 3 0.4604 0.43149 0.000 0.012 0.560 0.428 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.3870 0.60545 0.000 0.004 0.732 0.260 0.004
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.5832 0.22465 0.000 0.096 0.308 0.588 0.008
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.4502 0.56735 0.000 0.076 0.744 0.180 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.8105 0.11655 0.016 0.148 0.120 0.468 0.248
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.63179 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 3 0.4555 0.52587 0.000 0.020 0.636 0.344 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.7472 -0.18396 0.012 0.040 0.444 0.344 0.160
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.6430 0.41909 0.120 0.052 0.016 0.152 0.660
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.8985 0.33327 0.108 0.200 0.064 0.236 0.392
#> D6FC41FB-370B-44C0-940C-862554ECB645 3 0.4135 0.55036 0.000 0.004 0.656 0.340 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0404 0.76660 0.988 0.000 0.000 0.000 0.012
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.5638 0.17915 0.000 0.048 0.328 0.600 0.024
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.6970 0.17294 0.028 0.016 0.104 0.372 0.480
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4450 0.60431 0.004 0.032 0.756 0.196 0.012
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 3 0.6656 0.12210 0.004 0.344 0.512 0.116 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4840 0.11512 0.000 0.024 0.448 0.512 0.004 0.012
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.2278 0.55371 0.000 0.000 0.868 0.128 0.000 0.004
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.7089 -0.30412 0.328 0.048 0.000 0.008 0.348 0.268
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.6545 -0.06689 0.000 0.028 0.408 0.192 0.004 0.368
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0260 0.61442 0.000 0.000 0.992 0.008 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.5000 0.30912 0.000 0.008 0.544 0.400 0.004 0.044
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.7642 0.51625 0.020 0.168 0.004 0.168 0.456 0.184
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.7181 0.16552 0.000 0.040 0.176 0.340 0.036 0.408
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5641 0.63657 0.604 0.012 0.000 0.004 0.188 0.192
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2350 0.59032 0.000 0.000 0.888 0.036 0.000 0.076
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0363 0.61504 0.000 0.000 0.988 0.012 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 3 0.4080 0.14162 0.000 0.000 0.536 0.456 0.000 0.008
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.6223 0.40673 0.000 0.032 0.208 0.208 0.004 0.548
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.8082 0.47672 0.032 0.156 0.004 0.164 0.332 0.312
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 3 0.4428 0.29002 0.000 0.008 0.540 0.440 0.004 0.008
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.6668 0.52686 0.484 0.060 0.000 0.004 0.292 0.160
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.7618 -0.42552 0.020 0.120 0.000 0.416 0.236 0.208
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4388 0.19368 0.000 0.004 0.420 0.560 0.004 0.012
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4211 0.09648 0.000 0.004 0.456 0.532 0.000 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 6 0.5248 0.09292 0.012 0.008 0.012 0.080 0.212 0.676
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0146 0.61314 0.000 0.000 0.996 0.000 0.000 0.004
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.7414 0.38397 0.000 0.040 0.212 0.176 0.088 0.484
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.6056 0.48204 0.000 0.608 0.116 0.032 0.024 0.220
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.5314 0.47742 0.000 0.004 0.196 0.152 0.008 0.640
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.3023 0.55759 0.000 0.004 0.784 0.212 0.000 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.4771 0.43407 0.000 0.008 0.628 0.308 0.000 0.056
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.2350 0.59032 0.000 0.000 0.888 0.036 0.000 0.076
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 3 0.4804 0.31305 0.000 0.012 0.544 0.416 0.004 0.024
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1049 0.59177 0.000 0.000 0.960 0.032 0.000 0.008
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.5708 0.63988 0.604 0.020 0.000 0.004 0.224 0.148
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.4298 0.18831 0.000 0.004 0.420 0.564 0.004 0.008
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.5314 0.47742 0.000 0.004 0.196 0.152 0.008 0.640
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.6233 0.37070 0.452 0.044 0.000 0.012 0.412 0.080
#> D210EB84-3824-4D30-85B5-CD3BA710C170 6 0.5565 0.42529 0.008 0.012 0.096 0.088 0.092 0.704
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 6 0.8486 -0.06194 0.000 0.088 0.120 0.240 0.260 0.292
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.4352 0.36414 0.000 0.000 0.668 0.052 0.000 0.280
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 3 0.4459 0.48391 0.000 0.024 0.664 0.296 0.008 0.008
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 3 0.4856 0.50126 0.000 0.032 0.668 0.264 0.008 0.028
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.6817 0.43712 0.000 0.536 0.240 0.136 0.036 0.052
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4305 0.17951 0.000 0.004 0.424 0.560 0.004 0.008
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0820 0.61294 0.000 0.000 0.972 0.016 0.000 0.012
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 3 0.5334 0.18092 0.000 0.004 0.492 0.428 0.008 0.068
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.8566 0.11131 0.000 0.096 0.136 0.264 0.296 0.208
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.8566 0.11131 0.000 0.096 0.136 0.264 0.296 0.208
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 4 0.8479 -0.05534 0.000 0.132 0.128 0.368 0.216 0.156
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 6 0.6052 0.14391 0.012 0.128 0.024 0.108 0.060 0.668
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.6523 0.41941 0.000 0.020 0.216 0.172 0.040 0.552
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.6141 0.36821 0.400 0.004 0.000 0.000 0.352 0.244
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.3354 0.53797 0.000 0.004 0.752 0.240 0.000 0.004
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.7377 0.03486 0.000 0.036 0.232 0.348 0.040 0.344
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 6 0.4286 0.44481 0.012 0.000 0.112 0.060 0.032 0.784
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.6141 0.36821 0.400 0.004 0.000 0.000 0.352 0.244
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.7652 0.56240 0.032 0.136 0.004 0.136 0.460 0.232
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.7236 0.24233 0.004 0.020 0.332 0.368 0.036 0.240
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 4 0.8795 -0.15429 0.000 0.120 0.172 0.260 0.244 0.204
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 3 0.4602 0.30933 0.000 0.012 0.580 0.388 0.004 0.016
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.5534 0.64343 0.620 0.012 0.000 0.004 0.176 0.188
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 6 0.5150 0.10314 0.012 0.008 0.012 0.072 0.212 0.684
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.6415 0.33932 0.000 0.044 0.556 0.244 0.016 0.140
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 6 0.6937 -0.37936 0.112 0.044 0.000 0.040 0.380 0.424
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.7232 0.23901 0.000 0.028 0.256 0.452 0.056 0.208
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.7694 0.55990 0.032 0.140 0.004 0.136 0.452 0.236
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 3 0.4091 0.48382 0.000 0.016 0.680 0.296 0.004 0.004
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0146 0.61314 0.000 0.000 0.996 0.000 0.000 0.004
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.5932 0.30084 0.000 0.024 0.336 0.536 0.012 0.092
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.6141 0.36821 0.400 0.004 0.000 0.000 0.352 0.244
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.8109 0.48682 0.048 0.172 0.004 0.144 0.404 0.228
#> D65DB90F-4495-467D-A204-F67996E1E515 3 0.4234 0.29057 0.000 0.008 0.596 0.388 0.004 0.004
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0146 0.61450 0.000 0.000 0.996 0.004 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 3 0.4726 0.32640 0.000 0.012 0.552 0.412 0.004 0.020
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0260 0.61442 0.000 0.000 0.992 0.008 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.5981 0.60311 0.556 0.016 0.000 0.004 0.224 0.200
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 3 0.4445 0.50051 0.000 0.028 0.676 0.280 0.004 0.012
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.4965 0.13235 0.004 0.028 0.024 0.744 0.084 0.116
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4629 0.31804 0.000 0.020 0.116 0.764 0.036 0.064
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.7599 0.42473 0.000 0.100 0.020 0.220 0.392 0.268
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.7704 0.34628 0.112 0.308 0.000 0.020 0.352 0.208
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.8077 -0.00273 0.008 0.032 0.192 0.356 0.120 0.292
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.6002 0.59483 0.556 0.012 0.000 0.008 0.204 0.220
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 6 0.6578 0.25933 0.000 0.036 0.300 0.196 0.004 0.464
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 3 0.4091 0.09252 0.000 0.000 0.520 0.472 0.000 0.008
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.5168 0.47491 0.000 0.024 0.640 0.268 0.004 0.064
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.2350 0.59032 0.000 0.000 0.888 0.036 0.000 0.076
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.2519 0.60610 0.000 0.004 0.884 0.068 0.000 0.044
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.4311 0.17451 0.000 0.004 0.428 0.556 0.004 0.008
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.6908 0.38875 0.172 0.160 0.000 0.000 0.504 0.164
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3589 0.36187 0.004 0.768 0.000 0.008 0.208 0.012
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.7554 0.46491 0.004 0.108 0.012 0.204 0.416 0.256
#> 5A6AF013-C47E-41BE-9102-07E49330D451 3 0.6104 -0.15705 0.000 0.420 0.456 0.040 0.012 0.072
#> 814B2873-3E3E-419E-BA53-F65E322D9338 3 0.5044 0.47985 0.000 0.044 0.644 0.272 0.000 0.040
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.2875 0.58139 0.000 0.000 0.852 0.052 0.000 0.096
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.8497 -0.06184 0.000 0.132 0.128 0.364 0.216 0.160
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0260 0.61442 0.000 0.000 0.992 0.008 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.8441 -0.51305 0.188 0.060 0.000 0.300 0.256 0.196
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.7400 -0.10680 0.000 0.040 0.404 0.224 0.044 0.288
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 6 0.6937 -0.37936 0.112 0.044 0.000 0.040 0.380 0.424
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0146 0.61314 0.000 0.000 0.996 0.000 0.000 0.004
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 3 0.7853 -0.17372 0.000 0.156 0.452 0.148 0.056 0.188
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.4734 0.27341 0.000 0.012 0.380 0.580 0.004 0.024
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.4883 0.39842 0.000 0.012 0.588 0.360 0.004 0.036
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 6 0.5296 0.42661 0.008 0.000 0.088 0.116 0.080 0.708
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.8566 0.11131 0.000 0.096 0.136 0.264 0.296 0.208
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.4431 0.09280 0.000 0.004 0.456 0.524 0.004 0.012
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.4568 0.49541 0.000 0.144 0.740 0.096 0.012 0.008
#> E45A1A52-4285-492D-A868-EB18DE119DF3 3 0.5831 0.43733 0.000 0.104 0.616 0.224 0.004 0.052
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 5 0.7308 0.29046 0.196 0.080 0.000 0.032 0.484 0.208
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.1594 0.59521 0.000 0.000 0.932 0.016 0.000 0.052
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 6 0.7452 0.38299 0.000 0.040 0.212 0.176 0.092 0.480
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 6 0.6578 0.25933 0.000 0.036 0.300 0.196 0.004 0.464
#> 3C994968-8C59-4495-975F-D39C908559CE 6 0.6553 0.19531 0.000 0.032 0.336 0.188 0.004 0.440
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.4305 0.17951 0.000 0.004 0.424 0.560 0.004 0.008
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.6618 0.40354 0.400 0.020 0.000 0.008 0.348 0.224
#> D0F7931B-2253-486C-992C-1F3D1C98903B 6 0.6844 0.40566 0.004 0.028 0.180 0.228 0.036 0.524
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 4 0.8144 -0.48962 0.104 0.048 0.004 0.356 0.240 0.248
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 3 0.7260 -0.15514 0.000 0.172 0.396 0.348 0.032 0.052
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.6096 0.40169 0.000 0.520 0.356 0.060 0.020 0.044
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#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.61389 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 3 0.4442 0.12085 0.000 0.020 0.536 0.440 0.000 0.004
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6566 -0.12435 0.000 0.028 0.392 0.196 0.004 0.380
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.7362 -0.38562 0.104 0.052 0.004 0.064 0.356 0.420
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.8944 -0.35008 0.096 0.176 0.040 0.096 0.268 0.324
#> D6FC41FB-370B-44C0-940C-862554ECB645 3 0.4631 0.40179 0.000 0.012 0.596 0.368 0.004 0.020
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.69923 1.000 0.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.5245 0.40850 0.000 0.004 0.196 0.676 0.036 0.088
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 6 0.4457 0.40080 0.016 0.004 0.084 0.060 0.048 0.788
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5099 0.52706 0.000 0.044 0.704 0.160 0.004 0.088
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 3 0.6546 0.04047 0.000 0.352 0.468 0.056 0.008 0.116
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.836 0.914 0.962 0.4780 0.520 0.520
#> 3 3 0.664 0.850 0.901 0.2920 0.769 0.590
#> 4 4 0.585 0.496 0.719 0.1578 0.834 0.614
#> 5 5 0.666 0.639 0.783 0.0862 0.781 0.437
#> 6 6 0.757 0.522 0.710 0.0549 0.839 0.460
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9655 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9655 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9519 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0376 0.9674 0.004 0.996
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0376 0.9674 0.004 0.996
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0376 0.9674 0.004 0.996
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0376 0.9674 0.004 0.996
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0376 0.9491 0.996 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9519 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9519 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0376 0.9674 0.004 0.996
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0376 0.9674 0.004 0.996
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9655 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.6438 0.8064 0.836 0.164
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9519 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0376 0.9674 0.004 0.996
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9519 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0376 0.9491 0.996 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9655 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.9655 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9519 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0376 0.9674 0.004 0.996
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.9983 0.0816 0.476 0.524
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0376 0.9674 0.004 0.996
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.9519 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0376 0.9674 0.004 0.996
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0376 0.9674 0.004 0.996
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0376 0.9674 0.004 0.996
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0376 0.9674 0.004 0.996
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0376 0.9674 0.004 0.996
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9655 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9519 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9655 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.4562 0.8800 0.096 0.904
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9519 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9519 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.8608 0.6060 0.284 0.716
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0376 0.9674 0.004 0.996
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0376 0.9674 0.004 0.996
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0376 0.9674 0.004 0.996
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0376 0.9674 0.004 0.996
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9655 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0376 0.9674 0.004 0.996
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0376 0.9674 0.004 0.996
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 1.0000 0.0228 0.500 0.500
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6623 0.7893 0.172 0.828
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9519 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.5294 0.8508 0.880 0.120
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.7139 0.7663 0.804 0.196
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9519 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0376 0.9674 0.004 0.996
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0376 0.9674 0.004 0.996
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.6247 0.8156 0.844 0.156
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.9519 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9519 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9519 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0376 0.9674 0.004 0.996
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0376 0.9674 0.004 0.996
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9655 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9519 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9519 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0376 0.9674 0.004 0.996
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9519 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.5737 0.8374 0.864 0.136
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9519 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9655 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0376 0.9674 0.004 0.996
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.7299 0.7374 0.204 0.796
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9519 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9519 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.9655 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0376 0.9674 0.004 0.996
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0376 0.9674 0.004 0.996
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0376 0.9674 0.004 0.996
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9519 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0376 0.9674 0.004 0.996
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0376 0.9491 0.996 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0376 0.9674 0.004 0.996
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.9655 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.9519 1.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9519 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0672 0.9467 0.992 0.008
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9519 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.9988 0.1225 0.520 0.480
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9655 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0376 0.9674 0.004 0.996
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0376 0.9674 0.004 0.996
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0376 0.9674 0.004 0.996
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9655 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.9519 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.0000 0.9519 1.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9519 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0376 0.9674 0.004 0.996
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0376 0.9674 0.004 0.996
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0376 0.9674 0.004 0.996
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.9519 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0376 0.9674 0.004 0.996
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0376 0.9674 0.004 0.996
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0376 0.9491 0.996 0.004
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0376 0.9674 0.004 0.996
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9519 1.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0376 0.9674 0.004 0.996
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.9580 0.3845 0.380 0.620
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.9655 0.000 1.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0376 0.9674 0.004 0.996
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0376 0.9674 0.004 0.996
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.9519 1.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0376 0.9674 0.004 0.996
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.9286 0.4991 0.344 0.656
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.0000 0.9655 0.000 1.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0000 0.9655 0.000 1.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0376 0.9674 0.004 0.996
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.9519 1.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0376 0.9674 0.004 0.996
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0376 0.9674 0.004 0.996
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.9519 1.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.7139 0.7663 0.804 0.196
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.0376 0.9674 0.004 0.996
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.9655 0.000 1.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.9519 1.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.9519 1.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0376 0.9491 0.996 0.004
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.0000 0.9655 0.000 1.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.0376 0.9674 0.004 0.996
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.0000 0.9655 0.000 1.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.0000 0.9655 0.000 1.000
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#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0376 0.9674 0.004 0.996
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.9519 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.7528 0.7249 0.216 0.784
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.9655 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.7528 0.7249 0.216 0.784
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0376 0.9674 0.004 0.996
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0376 0.9674 0.004 0.996
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.6048 0.8292 0.852 0.148
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0376 0.9674 0.004 0.996
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9655 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.0000 0.9519 1.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0376 0.9674 0.004 0.996
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9519 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.9655 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0376 0.9674 0.004 0.996
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.7219 0.7613 0.800 0.200
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.9519 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0376 0.9674 0.004 0.996
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9519 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.0672 0.9646 0.008 0.992
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.4431 0.8845 0.092 0.908
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.7139 0.7663 0.804 0.196
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.9909 0.2308 0.556 0.444
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.9519 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.9519 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9519 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.6247 0.8156 0.844 0.156
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0376 0.9674 0.004 0.996
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9519 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.9519 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9655 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.9850 0.2237 0.428 0.572
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0376 0.9674 0.004 0.996
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9519 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9519 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0376 0.9674 0.004 0.996
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0376 0.9674 0.004 0.996
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9519 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0376 0.9674 0.004 0.996
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0376 0.9491 0.996 0.004
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.7950 0.6860 0.760 0.240
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0376 0.9674 0.004 0.996
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9519 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9519 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0376 0.9674 0.004 0.996
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9655 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9519 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.7674 0.7324 0.776 0.224
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9519 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9519 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0376 0.9674 0.004 0.996
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0376 0.9674 0.004 0.996
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9655 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9519 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9519 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0376 0.9674 0.004 0.996
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0376 0.9674 0.004 0.996
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4298 0.8886 0.088 0.912
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0376 0.9674 0.004 0.996
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3733 0.8941 0.928 0.072
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.9933 0.1682 0.452 0.548
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0376 0.9674 0.004 0.996
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5629 0.8346 0.132 0.868
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.9655 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.1184 0.9541 0.016 0.984
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0376 0.9674 0.004 0.996
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.9732 0.3517 0.596 0.404
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0376 0.9674 0.004 0.996
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9655 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0376 0.9674 0.004 0.996
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0376 0.9674 0.004 0.996
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0376 0.9674 0.004 0.996
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.5059 0.8680 0.888 0.112
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0376 0.9674 0.004 0.996
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0376 0.9674 0.004 0.996
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9519 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9519 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0376 0.9674 0.004 0.996
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0376 0.9674 0.004 0.996
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0376 0.9674 0.004 0.996
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9655 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.9519 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.2423 0.9360 0.040 0.960
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9655 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.6531 0.7877 0.168 0.832
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9519 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.9519 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0376 0.9674 0.004 0.996
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.7528 0.7188 0.216 0.784
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.7139 0.7415 0.196 0.804
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0000 0.9519 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.7299 0.7432 0.204 0.796
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.9655 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0376 0.9674 0.004 0.996
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.9655 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9655 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4939 0.8695 0.892 0.108
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0376 0.9674 0.004 0.996
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9655 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0376 0.9674 0.004 0.996
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9519 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.9519 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0376 0.9674 0.004 0.996
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9519 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.3879 0.8974 0.076 0.924
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9519 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0376 0.9674 0.004 0.996
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0938 0.9613 0.012 0.988
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0237 0.88899 0.000 0.996 0.004
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.5216 0.75421 0.000 0.260 0.740
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1289 0.88334 0.968 0.000 0.032
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.3267 0.90449 0.000 0.884 0.116
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1411 0.96746 0.000 0.036 0.964
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.3482 0.89913 0.000 0.872 0.128
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.1411 0.96746 0.000 0.036 0.964
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1765 0.88451 0.956 0.040 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1753 0.87861 0.952 0.048 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1289 0.88334 0.968 0.000 0.032
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1411 0.96746 0.000 0.036 0.964
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.1411 0.96746 0.000 0.036 0.964
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.1031 0.88863 0.000 0.976 0.024
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.7332 0.56681 0.660 0.276 0.064
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1129 0.88786 0.976 0.020 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3192 0.90565 0.000 0.888 0.112
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1289 0.88334 0.968 0.000 0.032
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1860 0.88029 0.948 0.052 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0892 0.88809 0.000 0.980 0.020
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0424 0.88973 0.000 0.992 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1267 0.88746 0.972 0.024 0.004
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.1411 0.96746 0.000 0.036 0.964
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.6737 0.36224 0.384 0.600 0.016
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.1411 0.96746 0.000 0.036 0.964
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5968 0.45630 0.636 0.364 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.3349 0.90561 0.004 0.888 0.108
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3941 0.87892 0.000 0.844 0.156
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3482 0.89913 0.000 0.872 0.128
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1411 0.96746 0.000 0.036 0.964
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.3192 0.90565 0.000 0.888 0.112
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1411 0.96746 0.000 0.036 0.964
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1411 0.88305 0.964 0.000 0.036
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.1031 0.88863 0.000 0.976 0.024
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.3695 0.90476 0.012 0.880 0.108
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1411 0.88305 0.964 0.000 0.036
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.2200 0.87482 0.940 0.056 0.004
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.4527 0.88969 0.052 0.860 0.088
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1411 0.96746 0.000 0.036 0.964
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3192 0.90565 0.000 0.888 0.112
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3192 0.90565 0.000 0.888 0.112
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1289 0.87384 0.032 0.968 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.1031 0.88863 0.000 0.976 0.024
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.1411 0.96746 0.000 0.036 0.964
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.3192 0.90565 0.000 0.888 0.112
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4172 0.80950 0.156 0.840 0.004
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.1711 0.87410 0.032 0.960 0.008
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.1267 0.88746 0.972 0.024 0.004
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.2187 0.87589 0.948 0.024 0.028
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5744 0.75067 0.800 0.128 0.072
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1411 0.88305 0.964 0.000 0.036
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.3482 0.89913 0.000 0.872 0.128
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.1411 0.96746 0.000 0.036 0.964
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.5497 0.76397 0.812 0.124 0.064
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2261 0.86729 0.932 0.068 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0237 0.88744 0.996 0.000 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.1267 0.88746 0.972 0.024 0.004
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.3192 0.90565 0.000 0.888 0.112
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4217 0.89859 0.032 0.868 0.100
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.1031 0.88863 0.000 0.976 0.024
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1289 0.88334 0.968 0.000 0.032
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0661 0.88770 0.988 0.008 0.004
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4842 0.80338 0.000 0.776 0.224
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1031 0.88495 0.976 0.000 0.024
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.5497 0.76397 0.812 0.124 0.064
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0592 0.88680 0.988 0.000 0.012
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.3482 0.89913 0.000 0.872 0.128
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.1411 0.96746 0.000 0.036 0.964
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.1411 0.87147 0.036 0.964 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0237 0.88744 0.996 0.000 0.004
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.1643 0.88052 0.956 0.044 0.000
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#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.1031 0.88863 0.000 0.976 0.024
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6235 0.09497 0.000 0.436 0.564
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.2878 0.84723 0.904 0.096 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.5553 0.63851 0.724 0.272 0.004
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3116 0.90670 0.000 0.892 0.108
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1411 0.88305 0.964 0.000 0.036
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0237 0.88899 0.000 0.996 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0424 0.88773 0.992 0.008 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3482 0.89913 0.000 0.872 0.128
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4295 0.89810 0.032 0.864 0.104
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.5126 -6.59e-02 0.000 0.552 0.004 0.444
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.7474 2.52e-01 0.000 0.292 0.496 0.212
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.3009 5.49e-01 0.000 0.056 0.052 0.892
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.2578 5.57e-01 0.000 0.036 0.052 0.912
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.4978 6.02e-01 0.612 0.384 0.000 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.7806 9.76e-02 0.408 0.260 0.000 0.332
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.7644 -8.11e-02 0.272 0.260 0.000 0.468
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4655 6.64e-01 0.684 0.312 0.000 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.1389 5.62e-01 0.000 0.000 0.048 0.952
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.4964 6.13e-01 0.616 0.380 0.000 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.7117 4.08e-01 0.556 0.264 0.000 0.180
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.5358 2.95e-01 0.048 0.252 0.000 0.700
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4761 4.42e-01 0.004 0.664 0.000 0.332
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.4174 4.84e-01 0.000 0.140 0.044 0.816
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.4560 3.89e-01 0.000 0.004 0.296 0.700
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.1661 5.62e-01 0.000 0.004 0.052 0.944
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.1489 5.61e-01 0.000 0.004 0.044 0.952
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.4800 4.16e-01 0.000 0.196 0.044 0.760
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0188 7.31e-01 0.996 0.004 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.7741 -1.01e-01 0.296 0.264 0.000 0.440
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.4277 3.16e-01 0.000 0.280 0.000 0.720
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.1807 5.62e-01 0.000 0.008 0.052 0.940
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.1576 5.61e-01 0.000 0.004 0.048 0.948
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 4 0.4985 -1.75e-01 0.000 0.468 0.000 0.532
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.1474 5.62e-01 0.000 0.000 0.052 0.948
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.4991 8.88e-02 0.004 0.388 0.000 0.608
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4790 1.04e-01 0.000 0.380 0.000 0.620
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.5384 6.33e-01 0.648 0.324 0.000 0.028
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.7761 -1.23e-01 0.340 0.244 0.000 0.416
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.7717 -9.65e-02 0.304 0.252 0.000 0.444
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.3157 5.22e-01 0.000 0.004 0.144 0.852
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.7722 -9.68e-02 0.300 0.256 0.000 0.444
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.7538 2.71e-01 0.492 0.260 0.000 0.248
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3266 7.15e-01 0.832 0.168 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4699 6.59e-01 0.676 0.320 0.000 0.004
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.3216 5.39e-01 0.000 0.076 0.044 0.880
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4776 4.32e-01 0.000 0.624 0.000 0.376
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4137 6.90e-01 0.780 0.208 0.000 0.012
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.3793 5.33e-01 0.000 0.044 0.112 0.844
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0707 7.33e-01 0.980 0.020 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.7841 -1.57e-01 0.332 0.272 0.000 0.396
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.4477 6.67e-01 0.688 0.312 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.3587 5.31e-01 0.000 0.088 0.052 0.860
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.4103 4.21e-01 0.000 0.256 0.000 0.744
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2408 7.27e-01 0.896 0.104 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.6966 4.67e-01 0.540 0.328 0.000 0.132
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.1888 5.61e-01 0.000 0.016 0.044 0.940
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0188 9.61e-01 0.000 0.000 0.996 0.004
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.5884 -1.77e-01 0.364 0.592 0.000 0.044
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.7033 -6.46e-02 0.136 0.336 0.000 0.528
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.1022 7.33e-01 0.968 0.032 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.7883 -2.31e-01 0.284 0.352 0.000 0.364
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.6957 9.55e-02 0.172 0.248 0.000 0.580
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 4 0.4842 4.23e-01 0.000 0.192 0.048 0.760
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0469 9.53e-01 0.000 0.000 0.988 0.012
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.4655 6.64e-01 0.684 0.312 0.000 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.5632 8.24e-02 0.340 0.624 0.000 0.036
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.4632 6.67e-01 0.688 0.308 0.000 0.004
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.4730 4.29e-01 0.000 0.636 0.000 0.364
#> 814B2873-3E3E-419E-BA53-F65E322D9338 4 0.1576 5.61e-01 0.000 0.004 0.048 0.948
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.1940 8.79e-01 0.000 0.000 0.924 0.076
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.4950 1.25e-01 0.004 0.376 0.000 0.620
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.2011 8.68e-01 0.000 0.000 0.920 0.080
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.2334 7.29e-01 0.908 0.088 0.000 0.004
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.6350 4.41e-01 0.112 0.636 0.000 0.252
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.2844 5.51e-01 0.000 0.052 0.048 0.900
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.7453 3.16e-01 0.508 0.260 0.000 0.232
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 4 0.4804 9.93e-02 0.000 0.384 0.000 0.616
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.4730 3.55e-01 0.000 0.364 0.000 0.636
#> 189E3660-4816-40D0-A0F7-39A958CB6599 4 0.6083 1.78e-01 0.000 0.360 0.056 0.584
#> E45A1A52-4285-492D-A868-EB18DE119DF3 4 0.5807 1.79e-01 0.000 0.344 0.044 0.612
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.3311 7.07e-01 0.828 0.172 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.7812 5.53e-02 0.396 0.256 0.000 0.348
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 4 0.7609 -7.06e-02 0.272 0.252 0.000 0.476
#> 3C994968-8C59-4495-975F-D39C908559CE 4 0.3975 3.86e-01 0.000 0.240 0.000 0.760
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.5284 3.90e-01 0.016 0.616 0.000 0.368
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.4632 6.67e-01 0.688 0.308 0.000 0.004
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.4356 2.24e-01 0.000 0.708 0.000 0.292
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.4948 1.99e-01 0.000 0.560 0.000 0.440
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.4961 3.35e-01 0.000 0.552 0.000 0.448
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.4730 3.55e-01 0.000 0.364 0.000 0.636
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.5329 -1.84e-01 0.420 0.568 0.000 0.012
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 4 0.3444 4.46e-01 0.000 0.184 0.000 0.816
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.5163 4.08e-01 0.516 0.480 0.000 0.004
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 4 0.2759 5.55e-01 0.000 0.044 0.052 0.904
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 4 0.2919 5.48e-01 0.000 0.060 0.044 0.896
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 4 0.5920 1.58e-01 0.000 0.336 0.052 0.612
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.6552 3.61e-01 0.228 0.628 0.000 0.144
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.4711 6.08e-01 0.000 0.024 0.740 0.236
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 4 0.5573 1.14e-01 0.000 0.368 0.028 0.604
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 4 0.4746 3.52e-01 0.000 0.368 0.000 0.632
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.1867 7.11e-01 0.928 0.072 0.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 4 0.4697 1.60e-01 0.000 0.356 0.000 0.644
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.6654 1.72e-01 0.116 0.588 0.000 0.296
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#> 11EFCB89-9776-41BB-B4B5-7B727619E087 4 0.1389 5.62e-01 0.000 0.000 0.048 0.952
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.1940 7.08e-01 0.924 0.076 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 4 0.7746 9.28e-02 0.000 0.232 0.376 0.392
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 4 0.5985 1.69e-01 0.000 0.352 0.052 0.596
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 4 0.1489 5.61e-01 0.000 0.004 0.044 0.952
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 4 0.3758 5.09e-01 0.000 0.104 0.048 0.848
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 4 0.7950 -7.75e-02 0.296 0.244 0.008 0.452
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.7799 1.31e-01 0.420 0.272 0.000 0.308
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 4 0.1722 5.62e-01 0.000 0.008 0.048 0.944
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.4990 3.59e-01 0.000 0.352 0.008 0.640
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 4 0.1807 5.45e-01 0.000 0.052 0.008 0.940
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 4 0.2761 5.52e-01 0.000 0.048 0.048 0.904
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 4 0.1716 5.37e-01 0.000 0.064 0.000 0.936
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.4843 -1.04e-02 0.000 0.604 0.000 0.396
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.4889 3.57e-01 0.000 0.360 0.004 0.636
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.6465 4.97e-01 0.136 0.636 0.000 0.228
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.3870 7.00e-01 0.788 0.208 0.000 0.004
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.4843 4.14e-01 0.000 0.604 0.000 0.396
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.4655 6.64e-01 0.684 0.312 0.000 0.004
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 4 0.4103 3.48e-01 0.000 0.256 0.000 0.744
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.3048 5.21e-01 0.000 0.108 0.016 0.876
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.4643 4.31e-01 0.000 0.656 0.000 0.344
#> 229B786F-7955-409B-A85D-A33D5810F519 4 0.4040 3.60e-01 0.000 0.248 0.000 0.752
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.6058 5.77e-01 0.604 0.336 0.000 0.060
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.5137 -2.77e-01 0.452 0.544 0.000 0.004
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 4 0.7726 -9.62e-02 0.296 0.260 0.000 0.444
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.4158 6.91e-01 0.768 0.224 0.000 0.008
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 4 0.7823 -1.81e-01 0.368 0.256 0.000 0.376
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.3907 4.67e-01 0.000 0.232 0.000 0.768
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.3123 5.81e-01 0.844 0.156 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.5865 2.84e-01 0.000 0.048 0.340 0.612
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.1576 5.61e-01 0.000 0.004 0.048 0.948
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 4 0.6203 1.68e-01 0.000 0.340 0.068 0.592
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.6024 4.96e-01 0.540 0.416 0.000 0.044
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.4522 2.47e-01 0.000 0.320 0.000 0.680
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.4053 6.94e-01 0.768 0.228 0.000 0.004
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.5055 8.85e-02 0.000 0.624 0.008 0.368
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.4844 3.72e-01 0.012 0.300 0.000 0.688
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.4535 6.76e-01 0.704 0.292 0.000 0.004
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0188 9.61e-01 0.000 0.000 0.996 0.004
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.5220 -2.93e-02 0.000 0.568 0.008 0.424
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.4632 6.67e-01 0.688 0.308 0.000 0.004
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4304 5.48e-01 0.000 0.000 0.716 0.284
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.2919 5.47e-01 0.000 0.060 0.044 0.896
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.2845 5.42e-01 0.000 0.076 0.028 0.896
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0188 9.61e-01 0.000 0.000 0.996 0.004
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.7135 3.96e-01 0.560 0.240 0.000 0.200
#> D6517B16-37E4-4342-9639-7C8C652A01A2 4 0.7050 8.59e-02 0.180 0.252 0.000 0.568
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 4 0.5923 1.33e-01 0.000 0.376 0.044 0.580
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4746 3.52e-01 0.000 0.368 0.000 0.632
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4905 3.53e-01 0.000 0.364 0.004 0.632
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4522 1.77e-01 0.000 0.680 0.000 0.320
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.5070 2.58e-02 0.000 0.416 0.004 0.580
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.8778 -3.69e-02 0.304 0.176 0.072 0.448
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 4 0.6097 1.40e-01 0.000 0.364 0.056 0.580
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.1284 5.58e-01 0.000 0.012 0.024 0.964
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.2759 5.47e-01 0.000 0.044 0.052 0.904
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.5056 3.90e-01 0.000 0.224 0.044 0.732
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3400 3.52e-01 0.000 0.820 0.000 0.180
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.7811 8.90e-02 0.404 0.260 0.000 0.336
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.1890 5.45e-01 0.000 0.056 0.008 0.936
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.6373 3.20e-01 0.248 0.636 0.000 0.116
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.3688 4.23e-01 0.000 0.208 0.000 0.792
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.4933 -5.17e-05 0.000 0.432 0.000 0.568
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.5825 4.91e-01 0.068 0.664 0.000 0.268
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.4746 3.52e-01 0.000 0.368 0.000 0.632
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4907 3.06e-01 0.000 0.420 0.000 0.580
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4730 3.99e-01 0.000 0.636 0.000 0.364
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.2589 5.53e-01 0.000 0.044 0.044 0.912
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.5024 3.56e-01 0.000 0.360 0.008 0.632
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.1661 5.61e-01 0.000 0.004 0.052 0.944
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4889 3.55e-01 0.000 0.360 0.004 0.636
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5070 8.22e-02 0.000 0.620 0.008 0.372
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.6857 -1.79e-01 0.404 0.492 0.000 0.104
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 9.65e-01 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.5273 2.26e-01 0.000 0.456 0.008 0.536
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.5830 2.86e-01 0.000 0.048 0.332 0.620
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.7799 1.08e-01 0.412 0.260 0.000 0.328
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.6685 4.66e-01 0.132 0.600 0.000 0.268
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.1576 5.61e-01 0.000 0.004 0.048 0.948
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 7.31e-01 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4905 3.53e-01 0.000 0.364 0.004 0.632
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3768 7.05e-01 0.808 0.184 0.000 0.008
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.3464 5.30e-01 0.000 0.076 0.056 0.868
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4843 3.69e-01 0.000 0.604 0.000 0.396
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.1907 0.84201 0.000 0.044 0.000 0.928 0.028
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.3857 0.50406 0.000 0.000 0.312 0.688 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0162 0.86102 0.996 0.004 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2681 0.66898 0.000 0.876 0.004 0.108 0.012
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0566 0.95780 0.000 0.012 0.984 0.000 0.004
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.5106 0.64803 0.000 0.692 0.004 0.216 0.088
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.5288 0.55510 0.260 0.064 0.000 0.012 0.664
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.2992 0.57908 0.064 0.868 0.000 0.000 0.068
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.89636 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.2842 0.60709 0.056 0.888 0.000 0.012 0.044
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.5197 0.51648 0.316 0.064 0.000 0.000 0.620
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.5907 0.54992 0.000 0.532 0.004 0.368 0.096
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.5592 0.55482 0.252 0.064 0.000 0.028 0.656
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0290 0.89542 0.000 0.000 0.000 0.992 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.6438 -0.16313 0.212 0.496 0.000 0.000 0.292
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.3485 0.63010 0.016 0.852 0.000 0.072 0.060
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.4235 0.22196 0.000 0.424 0.000 0.000 0.576
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.2935 0.66669 0.000 0.860 0.004 0.120 0.016
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.6914 0.49114 0.000 0.468 0.064 0.380 0.088
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.6039 0.54655 0.000 0.528 0.012 0.372 0.088
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.5932 0.53818 0.000 0.520 0.004 0.380 0.096
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
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#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.2506 0.61321 0.052 0.904 0.000 0.008 0.036
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.6413 0.13793 0.508 0.268 0.000 0.000 0.224
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 2 0.4678 0.35381 0.064 0.712 0.000 0.000 0.224
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.89636 0.000 0.000 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.3885 0.57862 0.000 0.724 0.000 0.268 0.008
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.2773 0.71439 0.868 0.020 0.000 0.000 0.112
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0162 0.86215 0.996 0.004 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.3750 0.65494 0.000 0.832 0.072 0.084 0.012
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.5916 0.54614 0.000 0.528 0.004 0.372 0.096
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6384 0.41129 0.000 0.516 0.040 0.072 0.372
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.7422 0.38346 0.288 0.064 0.000 0.176 0.472
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.5131 0.23575 0.000 0.364 0.000 0.048 0.588
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.5942 0.40983 0.360 0.116 0.000 0.000 0.524
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.4679 0.60849 0.000 0.068 0.000 0.716 0.216
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.3912 0.57366 0.000 0.752 0.000 0.228 0.020
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.5260 0.49644 0.332 0.064 0.000 0.000 0.604
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.2124 0.83008 0.000 0.056 0.000 0.916 0.028
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.5284 0.50532 0.324 0.068 0.000 0.000 0.608
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.6296 0.46877 0.000 0.552 0.328 0.092 0.028
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2833 0.66939 0.000 0.864 0.004 0.120 0.012
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.3916 0.67461 0.000 0.804 0.004 0.136 0.056
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.5684 0.24139 0.300 0.600 0.000 0.004 0.096
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3949 0.58583 0.048 0.828 0.000 0.036 0.088
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4956 0.42642 0.000 0.644 0.004 0.040 0.312
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0290 0.89542 0.000 0.000 0.000 0.992 0.008
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.2632 0.80174 0.000 0.040 0.000 0.888 0.072
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2189 0.61961 0.000 0.904 0.000 0.012 0.084
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.3020 0.62277 0.064 0.884 0.004 0.024 0.024
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5638 0.43436 0.000 0.552 0.004 0.072 0.372
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5550 0.55554 0.000 0.548 0.000 0.376 0.076
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.5949 0.53169 0.000 0.528 0.004 0.368 0.100
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3395 0.65563 0.000 0.844 0.004 0.048 0.104
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 5 0.5646 -0.09051 0.000 0.076 0.000 0.444 0.480
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.3056 0.57630 0.068 0.864 0.000 0.000 0.068
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.5812 0.54562 0.000 0.528 0.000 0.372 0.100
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.3488 0.59535 0.064 0.068 0.000 0.016 0.852
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5405 0.57082 0.000 0.640 0.000 0.104 0.256
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.4626 0.20622 0.000 0.616 0.000 0.020 0.364
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0162 0.86215 0.996 0.004 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.4138 0.31868 0.000 0.384 0.000 0.000 0.616
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0794 0.87717 0.000 0.000 0.000 0.972 0.028
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.4101 0.43140 0.000 0.372 0.000 0.000 0.628
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.5072 0.65809 0.000 0.704 0.004 0.192 0.100
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0290 0.89542 0.000 0.000 0.000 0.992 0.008
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5932 0.53818 0.000 0.520 0.004 0.380 0.096
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0162 0.89692 0.000 0.000 0.000 0.996 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4618 0.62035 0.000 0.068 0.000 0.724 0.208
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.7996 -0.12515 0.152 0.436 0.000 0.256 0.156
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.97300 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0955 0.87633 0.000 0.028 0.000 0.968 0.004
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.3337 0.65634 0.000 0.856 0.064 0.072 0.008
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.4879 0.47121 0.176 0.716 0.000 0.000 0.108
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.2370 0.62190 0.040 0.056 0.000 0.000 0.904
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5932 0.53818 0.000 0.520 0.004 0.380 0.096
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.86337 1.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0290 0.89542 0.000 0.000 0.000 0.992 0.008
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5430 0.46960 0.660 0.192 0.000 0.000 0.148
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5990 0.52599 0.000 0.524 0.004 0.368 0.104
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4029 0.43254 0.000 0.680 0.000 0.004 0.316
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0260 0.935468 0.000 0.000 0.000 0.992 0.000 0.008
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.3448 0.588995 0.000 0.004 0.280 0.716 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0790 0.938288 0.968 0.032 0.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 6 0.0291 0.669956 0.000 0.004 0.004 0.000 0.000 0.992
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3555 0.384093 0.000 0.280 0.712 0.000 0.000 0.008
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.5894 0.199060 0.000 0.000 0.404 0.068 0.052 0.476
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.2129 0.756510 0.056 0.040 0.000 0.000 0.904 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.2414 0.645388 0.012 0.056 0.000 0.000 0.036 0.896
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.955850 1.000 0.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.1675 0.667148 0.008 0.032 0.000 0.000 0.024 0.936
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.1829 0.757721 0.056 0.024 0.000 0.000 0.920 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 3 0.6788 0.050882 0.000 0.000 0.404 0.200 0.056 0.340
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0508 0.951401 0.984 0.012 0.000 0.000 0.004 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.2724 0.741430 0.052 0.084 0.000 0.000 0.864 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 6 0.4551 0.116752 0.012 0.016 0.000 0.000 0.436 0.536
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.1706 0.666200 0.004 0.032 0.000 0.004 0.024 0.936
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4873 0.327162 0.000 0.520 0.000 0.000 0.060 0.420
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.0260 0.671315 0.000 0.000 0.000 0.008 0.000 0.992
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.6739 0.067938 0.000 0.000 0.420 0.204 0.052 0.324
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6747 0.046588 0.000 0.000 0.404 0.200 0.052 0.344
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 3 0.7011 0.061839 0.000 0.008 0.404 0.204 0.056 0.328
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.955850 1.000 0.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.0260 0.671315 0.000 0.000 0.000 0.008 0.000 0.992
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0547 0.946470 0.980 0.000 0.000 0.000 0.020 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 6 0.2367 0.634540 0.008 0.016 0.000 0.000 0.088 0.888
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.3758 0.444716 0.000 0.016 0.000 0.000 0.700 0.284
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 3 0.7165 0.051886 0.000 0.020 0.404 0.184 0.056 0.336
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 3 0.7011 0.061839 0.000 0.008 0.404 0.204 0.056 0.328
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.7108 0.513525 0.000 0.484 0.284 0.040 0.132 0.060
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 3 0.6800 0.055681 0.000 0.000 0.404 0.204 0.056 0.336
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.0291 0.740492 0.000 0.004 0.000 0.004 0.992 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.0146 0.740853 0.000 0.000 0.000 0.004 0.996 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.1349 0.758740 0.056 0.004 0.000 0.000 0.940 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 6 0.1777 0.665911 0.012 0.032 0.000 0.000 0.024 0.932
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.0622 0.674184 0.008 0.000 0.000 0.000 0.012 0.980
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0520 0.948936 0.984 0.008 0.000 0.000 0.008 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.6745 0.065188 0.000 0.000 0.416 0.204 0.052 0.328
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.1167 0.672545 0.008 0.020 0.000 0.000 0.012 0.960
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 6 0.2619 0.634251 0.012 0.048 0.000 0.000 0.056 0.884
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.3835 0.555938 0.300 0.016 0.000 0.000 0.684 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.1657 0.757050 0.056 0.016 0.000 0.000 0.928 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.3895 0.513717 0.000 0.000 0.172 0.008 0.052 0.768
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.4353 -0.021793 0.000 0.472 0.004 0.004 0.512 0.008
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.955850 1.000 0.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 6 0.5062 0.358998 0.240 0.016 0.000 0.000 0.092 0.652
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.4756 0.295200 0.000 0.000 0.408 0.000 0.052 0.540
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1760 0.908820 0.928 0.048 0.000 0.000 0.020 0.004
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.3109 0.602792 0.000 0.016 0.004 0.000 0.168 0.812
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#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 3 0.6800 0.055681 0.000 0.000 0.404 0.204 0.056 0.336
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0458 0.952565 0.984 0.016 0.000 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5775 0.454811 0.000 0.464 0.400 0.012 0.000 0.124
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.4805 0.644979 0.056 0.084 0.000 0.128 0.732 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.1554 0.719035 0.000 0.008 0.004 0.004 0.940 0.044
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0146 0.955806 0.996 0.004 0.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.2898 0.729782 0.056 0.016 0.000 0.000 0.868 0.060
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3690 0.524036 0.000 0.308 0.000 0.684 0.000 0.008
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.955850 1.000 0.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 6 0.2266 0.653039 0.000 0.024 0.000 0.040 0.028 0.908
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.2962 0.739778 0.068 0.084 0.000 0.000 0.848 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.955850 1.000 0.000 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0520 0.929077 0.000 0.008 0.000 0.984 0.000 0.008
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0146 0.955806 0.996 0.004 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.1719 0.756827 0.060 0.016 0.000 0.000 0.924 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.5132 -0.206187 0.000 0.012 0.488 0.008 0.036 0.456
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.0260 0.671315 0.000 0.000 0.000 0.008 0.000 0.992
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.4456 0.367614 0.000 0.000 0.360 0.008 0.024 0.608
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 6 0.3219 0.605997 0.084 0.040 0.000 0.000 0.028 0.848
#> D6517B16-37E4-4342-9639-7C8C652A01A2 6 0.1693 0.666633 0.012 0.032 0.000 0.000 0.020 0.936
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5291 0.322427 0.000 0.464 0.072 0.004 0.004 0.456
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0260 0.935338 0.000 0.000 0.000 0.992 0.008 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 6 0.0632 0.663352 0.000 0.024 0.000 0.000 0.000 0.976
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 6 0.0862 0.674854 0.008 0.004 0.000 0.000 0.016 0.972
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5718 0.453785 0.000 0.464 0.400 0.008 0.000 0.128
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 6 0.6569 0.202413 0.000 0.000 0.256 0.204 0.052 0.488
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.7433 0.053843 0.000 0.040 0.404 0.184 0.056 0.316
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.4814 0.413681 0.000 0.032 0.232 0.000 0.052 0.684
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5517 0.244860 0.000 0.528 0.000 0.352 0.112 0.008
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 6 0.2137 0.654388 0.012 0.048 0.000 0.000 0.028 0.912
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0146 0.955806 0.996 0.004 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 3 0.7226 0.052530 0.000 0.024 0.404 0.184 0.056 0.332
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.3868 0.017247 0.000 0.492 0.000 0.000 0.508 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.6535 0.271630 0.000 0.016 0.240 0.012 0.268 0.464
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.4911 0.234871 0.000 0.068 0.000 0.000 0.384 0.548
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0363 0.954621 0.988 0.012 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4893 0.357005 0.000 0.536 0.000 0.000 0.064 0.400
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.3774 0.448835 0.000 0.408 0.592 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0146 0.939402 0.000 0.004 0.000 0.996 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 6 0.4904 0.111800 0.000 0.316 0.000 0.000 0.084 0.600
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.6141 0.157554 0.000 0.000 0.404 0.088 0.056 0.452
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.6970 0.058472 0.000 0.008 0.404 0.204 0.052 0.332
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3575 0.568476 0.000 0.284 0.000 0.708 0.000 0.008
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 6 0.6011 0.356870 0.012 0.092 0.000 0.088 0.172 0.636
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.3765 0.448795 0.000 0.404 0.596 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0405 0.932347 0.000 0.004 0.000 0.988 0.000 0.008
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.0146 0.670666 0.000 0.004 0.000 0.000 0.000 0.996
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.5058 0.460107 0.056 0.052 0.004 0.000 0.192 0.696
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.1387 0.738946 0.000 0.068 0.000 0.000 0.932 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 3 0.6800 0.055681 0.000 0.000 0.404 0.204 0.056 0.336
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0363 0.952952 0.988 0.012 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.942910 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 6 0.5020 0.069182 0.428 0.040 0.000 0.000 0.016 0.516
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.7456 0.046991 0.000 0.044 0.400 0.188 0.052 0.316
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 6 0.4821 -0.309250 0.000 0.472 0.008 0.000 0.036 0.484
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 17033 rows and 424 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 0.871 0.918 0.966 0.4984 0.501 0.501
#> 3 3 0.643 0.805 0.903 0.3216 0.763 0.559
#> 4 4 0.712 0.587 0.822 0.1203 0.853 0.606
#> 5 5 0.770 0.724 0.857 0.0662 0.896 0.645
#> 6 6 0.804 0.701 0.848 0.0554 0.898 0.586
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0376 0.965 0.004 0.996
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.968 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.960 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.968 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.968 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.968 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.968 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.960 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.960 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.960 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.968 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.968 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.968 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.960 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.960 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0938 0.958 0.012 0.988
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.960 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.960 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.968 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.968 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.960 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.968 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.960 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.968 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.960 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.968 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.968 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.968 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.968 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.968 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.968 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.960 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.968 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.9608 0.392 0.616 0.384
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.960 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.960 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0000 0.960 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.968 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.968 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.968 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.7674 0.710 0.224 0.776
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.968 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.968 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.3114 0.917 0.056 0.944
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#> A7703FA8-E828-41B6-ABD7-B498D64C9DBD 2 0.0000 0.968 0.000 1.000
#> 870B22BB-F07F-4A4C-80A2-2965EDD48567 1 0.0000 0.960 1.000 0.000
#> B825A701-47BD-4C83-8AA5-42E77210C31F 2 0.0000 0.968 0.000 1.000
#> D8B8C8E9-1018-426C-8160-8190AAF0777A 2 0.0000 0.968 0.000 1.000
#> DA3B508B-E00B-4456-99EB-E604E7A68135 2 0.0000 0.968 0.000 1.000
#> 146FF141-8EF0-4FBE-A11F-6F644E986581 2 0.0000 0.968 0.000 1.000
#> 92B8BA55-0359-42F3-AD4F-7493A6DB8E6F 1 0.0000 0.960 1.000 0.000
#> 70AD96AB-52C2-4E0B-8F29-9EA494DE42F8 1 0.0000 0.960 1.000 0.000
#> 91BA307E-5C60-4142-8425-19182DE09A48 2 0.0000 0.968 0.000 1.000
#> 523A80E7-95E8-4E89-AA62-FCAA015BDF68 1 0.9850 0.269 0.572 0.428
#> 495095C5-F706-42A7-A2FF-5C708A659773 1 0.0000 0.960 1.000 0.000
#> CA327F97-CE4D-4175-9857-651C8F56772D 1 0.0000 0.960 1.000 0.000
#> 417360FD-18DF-463E-B496-FCD49F29CE50 2 0.0000 0.968 0.000 1.000
#> 82FE3178-5681-44D7-8B18-D2FD764782FD 2 0.0000 0.968 0.000 1.000
#> 21DE3A97-8B43-4078-8CC6-7C78D5AD93F4 1 0.0000 0.960 1.000 0.000
#> DD9D5964-3E96-4ACC-ACB2-D1AE5DE3BEE0 1 0.0000 0.960 1.000 0.000
#> DC3C3FA1-7742-4D50-812C-418B5035E30F 2 0.0000 0.968 0.000 1.000
#> D361F7B1-6CF3-472E-B081-B606327DABCA 2 0.0000 0.968 0.000 1.000
#> 58BA322C-EC09-4A4D-A44A-65C0ED975A4D 2 0.0000 0.968 0.000 1.000
#> 821E3D5D-5BAC-415B-B722-AE97A23D142C 1 0.6887 0.768 0.816 0.184
#> 3076973D-97E4-4E3E-BA81-910F8B505E06 2 0.7139 0.746 0.196 0.804
#> 2E0B5BC2-28D6-48CE-B302-4333747CB009 2 0.0000 0.968 0.000 1.000
#> 24FE253B-BC9F-48FE-84C4-33AA8EF99641 2 0.0000 0.968 0.000 1.000
#> 1B1ABFE9-C01E-489E-856A-CD3DD3D100C0 2 0.0000 0.968 0.000 1.000
#> 9E7E4BB2-2F91-4217-A8F0-AA891F2944C6 2 0.0000 0.968 0.000 1.000
#> EAC2BC63-683A-44E1-90B9-9096AEB44949 2 0.0000 0.968 0.000 1.000
#> 79C6F42B-6BC4-43FD-831B-200DF3AE2C30 2 0.0000 0.968 0.000 1.000
#> 61C2C466-6680-42B2-8050-A597FC78A066 2 0.0000 0.968 0.000 1.000
#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 2 0.0000 0.968 0.000 1.000
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 2 0.0000 0.968 0.000 1.000
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.960 1.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.0000 0.960 1.000 0.000
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 1 0.0000 0.960 1.000 0.000
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 2 0.0000 0.968 0.000 1.000
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.9954 0.127 0.460 0.540
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.0000 0.968 0.000 1.000
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0000 0.968 0.000 1.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.0000 0.968 0.000 1.000
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 2 0.0000 0.968 0.000 1.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.968 0.000 1.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0000 0.960 1.000 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 2 0.0000 0.968 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.0000 0.968 0.000 1.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.3733 0.895 0.928 0.072
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.0000 0.968 0.000 1.000
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.0000 0.960 1.000 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 2 0.0000 0.968 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.8608 0.599 0.284 0.716
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0000 0.968 0.000 1.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.0000 0.968 0.000 1.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.0000 0.960 1.000 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0000 0.968 0.000 1.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.0000 0.960 1.000 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0000 0.960 1.000 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.0000 0.960 1.000 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.9866 0.257 0.568 0.432
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.960 1.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.0000 0.960 1.000 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.7745 0.705 0.772 0.228
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.968 0.000 1.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.0000 0.960 1.000 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.960 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.960 1.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.7219 0.746 0.800 0.200
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.960 1.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 1 0.0000 0.960 1.000 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.6048 0.812 0.148 0.852
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.960 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.968 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.960 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.960 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0000 0.968 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.968 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.968 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0000 0.968 0.000 1.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.968 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0376 0.965 0.004 0.996
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5408 0.841 0.876 0.124
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.968 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.960 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.9795 0.277 0.416 0.584
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.968 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.9850 0.240 0.428 0.572
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.968 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.968 0.000 1.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.960 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.968 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.968 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.0000 0.960 1.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.968 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.960 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.968 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.968 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.0000 0.960 1.000 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.960 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0000 0.968 0.000 1.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.960 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.5629 0.832 0.868 0.132
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.7950 0.688 0.760 0.240
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.0000 0.960 1.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0376 0.956 0.996 0.004
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.960 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.960 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.960 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.960 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.968 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.960 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.960 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.968 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.9522 0.421 0.628 0.372
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.968 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.960 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.960 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.968 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.968 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.960 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.968 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.960 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.960 1.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.968 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.960 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.960 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.968 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.968 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.960 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0000 0.960 1.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.960 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.960 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.968 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.968 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.968 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.960 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.960 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.968 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.968 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.9710 0.324 0.400 0.600
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.968 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.960 1.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.8813 0.571 0.700 0.300
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.968 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.9491 0.412 0.368 0.632
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.2236 0.936 0.036 0.964
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.8713 0.588 0.292 0.708
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.9795 0.304 0.584 0.416
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.7219 0.746 0.800 0.200
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.968 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.968 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.968 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.968 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.968 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.0000 0.960 1.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.968 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.968 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.960 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.960 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.968 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.968 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.968 0.000 1.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.968 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.960 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.2603 0.922 0.956 0.044
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.968 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9710 0.337 0.600 0.400
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.960 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.960 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.968 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.9491 0.426 0.632 0.368
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.9732 0.315 0.404 0.596
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0000 0.960 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.9866 0.257 0.568 0.432
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.968 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.968 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.968 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.968 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.960 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.968 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.968 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.968 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.960 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.960 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.968 0.000 1.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.960 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.7376 0.728 0.208 0.792
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.960 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.968 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.2778 0.918 0.952 0.048
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.8172 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.6274 0.2412 0.000 0.544 0.456
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#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0237 0.9251 0.996 0.004 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.9086 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9277 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9277 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9086 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0424 0.8176 0.000 0.992 0.008
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9277 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.4605 0.7375 0.796 0.204 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9277 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9277 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.9086 0.000 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9086 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.8172 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9277 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9277 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.9086 0.000 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.0000 0.9086 0.000 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 3 0.9075 0.2227 0.388 0.140 0.472
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.9086 0.000 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.6280 0.1519 0.540 0.000 0.460
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.4605 0.6600 0.204 0.000 0.796
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.6308 -0.0889 0.000 0.492 0.508
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.3116 0.7893 0.108 0.892 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.3791 0.8107 0.060 0.892 0.048
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.8172 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.6924 0.4030 0.020 0.580 0.400
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.5948 0.4474 0.360 0.000 0.640
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.6299 -0.0215 0.000 0.476 0.524
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4235 0.7670 0.000 0.824 0.176
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9086 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4931 0.7214 0.000 0.768 0.232
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.2959 0.8244 0.000 0.100 0.900
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0424 0.8166 0.008 0.992 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9086 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9086 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9277 1.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9277 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9086 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9086 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4504 0.7534 0.000 0.804 0.196
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.2959 0.8166 0.000 0.900 0.100
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.6026 0.4483 0.624 0.376 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.4868 0.7995 0.844 0.056 0.100
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2959 0.8166 0.000 0.900 0.100
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.7890 0.3003 0.372 0.064 0.564
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9277 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.4235 0.7836 0.824 0.176 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9086 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.3116 0.7893 0.108 0.892 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.4033 0.7986 0.008 0.856 0.136
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.2959 0.8551 0.900 0.100 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6000 0.7386 0.040 0.760 0.200
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.3116 0.8138 0.000 0.892 0.108
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.5431 0.4787 0.000 0.284 0.716
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.2959 0.8166 0.000 0.900 0.100
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0424 0.8176 0.000 0.992 0.008
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4605 0.7375 0.796 0.204 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9086 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.8172 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.9086 0.000 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9277 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2878 0.8586 0.904 0.096 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.4750 0.7738 0.000 0.784 0.216
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9277 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.3116 0.7893 0.108 0.892 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9277 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4887 0.6712 0.000 0.228 0.772
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.9248 0.2780 0.516 0.296 0.188
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.2868 0.55309 0.000 0.136 0.000 0.864
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4994 -0.06653 0.000 0.000 0.480 0.520
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.1118 0.86203 0.000 0.036 0.964 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.7550 0.01915 0.000 0.464 0.204 0.332
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1305 0.85497 0.960 0.036 0.004 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1305 0.86718 0.960 0.036 0.000 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0469 0.87063 0.988 0.012 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.5738 0.17040 0.540 0.028 0.432 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4981 -0.01784 0.464 0.536 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.4379 0.72607 0.036 0.172 0.792 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.7338 -0.04277 0.000 0.464 0.160 0.376
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.4697 0.45585 0.000 0.356 0.644 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.5409 -0.21695 0.000 0.496 0.012 0.492
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.6887 0.05757 0.440 0.104 0.456 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.2814 0.79652 0.868 0.132 0.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3056 0.46395 0.000 0.888 0.040 0.072
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.5688 -0.17001 0.000 0.512 0.024 0.464
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4972 0.08047 0.000 0.544 0.000 0.456
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.5597 0.23988 0.000 0.464 0.020 0.516
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.5028 0.17249 0.400 0.596 0.000 0.004
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.6280 0.31236 0.084 0.304 0.000 0.612
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.4706 0.60361 0.224 0.028 0.748 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3942 0.61276 0.764 0.236 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.7613 0.01034 0.000 0.448 0.212 0.340
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.3801 0.63237 0.780 0.220 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.7983 0.02384 0.036 0.500 0.140 0.324
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3160 0.47640 0.108 0.872 0.000 0.020
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0592 0.86867 0.984 0.016 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4830 0.23568 0.000 0.608 0.392 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4522 0.45783 0.680 0.320 0.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.5075 0.36686 0.000 0.344 0.012 0.644
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.4769 0.16874 0.000 0.684 0.008 0.308
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0188 0.88641 0.000 0.004 0.996 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.5928 -0.03902 0.456 0.036 0.000 0.508
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0188 0.87489 0.996 0.004 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0469 0.87385 0.988 0.012 0.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.6561 0.29990 0.564 0.092 0.344 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4103 0.43911 0.000 0.744 0.256 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.5000 -0.07921 0.500 0.500 0.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.48757 0.000 1.000 0.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.4606 0.24239 0.000 0.724 0.012 0.264
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.2704 0.79581 0.876 0.124 0.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.1940 0.82902 0.000 0.076 0.924 0.000
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#> 9E7E4BB2-2F91-4217-A8F0-AA891F2944C6 3 0.5396 0.20859 0.000 0.464 0.524 0.012
#> EAC2BC63-683A-44E1-90B9-9096AEB44949 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 79C6F42B-6BC4-43FD-831B-200DF3AE2C30 2 0.7034 -0.10161 0.000 0.468 0.120 0.412
#> 61C2C466-6680-42B2-8050-A597FC78A066 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 3 0.0188 0.88616 0.000 0.000 0.996 0.004
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 3 0.3486 0.79471 0.000 0.092 0.864 0.044
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.5847 0.15353 0.036 0.560 0.404 0.000
#> 678726DB-073F-466D-916A-7982944A81BA 4 0.5685 0.24059 0.000 0.460 0.024 0.516
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 4 0.4981 0.00751 0.000 0.464 0.000 0.536
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 3 0.2149 0.83101 0.000 0.088 0.912 0.000
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.5366 0.07931 0.000 0.548 0.012 0.440
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.4989 0.10385 0.528 0.472 0.000 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 4 0.6276 0.19264 0.000 0.464 0.056 0.480
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 4 0.4948 0.05322 0.000 0.440 0.000 0.560
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.4134 0.61439 0.000 0.260 0.740 0.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.5000 0.06159 0.500 0.500 0.000 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.4989 0.06142 0.000 0.528 0.000 0.472
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.5000 0.06159 0.500 0.500 0.000 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.1022 0.86946 0.968 0.032 0.000 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.4866 0.19179 0.404 0.596 0.000 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.4222 0.41899 0.272 0.728 0.000 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 3 0.1929 0.84246 0.036 0.024 0.940 0.000
#> 577E5B95-C657-43E4-955A-4E5152901661 3 0.5294 0.19264 0.000 0.484 0.508 0.008
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.3335 0.43705 0.016 0.856 0.000 0.128
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.5523 0.34440 0.596 0.024 0.380 0.000
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.5000 0.02333 0.000 0.500 0.000 0.500
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.4855 0.35969 0.000 0.000 0.600 0.400
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.5000 0.03259 0.000 0.496 0.504 0.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.5296 -0.21571 0.000 0.500 0.008 0.492
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.2861 0.45294 0.000 0.888 0.016 0.096
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5119 0.64549 0.764 0.124 0.112 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 4 0.5688 0.23610 0.000 0.464 0.024 0.512
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.4998 0.13747 0.000 0.000 0.512 0.488
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 4 0.5597 0.23989 0.000 0.464 0.020 0.516
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.3907 0.66788 0.000 0.232 0.768 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.6842 -0.01580 0.000 0.464 0.436 0.100
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.1022 0.66078 0.000 0.032 0.000 0.968
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.0469 0.68162 0.000 0.012 0.000 0.988
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.5000 -0.07921 0.500 0.500 0.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.4250 0.58910 0.000 0.276 0.724 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.2469 0.44830 0.000 0.892 0.000 0.108
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.6147 0.20406 0.000 0.464 0.048 0.488
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.2408 0.82591 0.044 0.036 0.920 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6372 -0.15951 0.052 0.496 0.004 0.448
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.5791 0.35787 0.284 0.656 0.060 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.4103 0.44902 0.256 0.744 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.2281 0.82332 0.904 0.096 0.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.2760 0.76619 0.872 0.128 0.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0469 0.87063 0.988 0.012 0.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.5478 0.06881 0.444 0.016 0.000 0.540
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.1211 0.85416 0.960 0.040 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0921 0.86837 0.000 0.028 0.972 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.6079 0.20945 0.000 0.464 0.044 0.492
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0592 0.87320 0.984 0.016 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4040 0.45084 0.000 0.752 0.248 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.4707 0.65277 0.760 0.036 0.000 0.204
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.2773 0.80135 0.880 0.116 0.000 0.004
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.4955 0.04557 0.000 0.444 0.000 0.556
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5512 0.07859 0.496 0.016 0.000 0.488
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.3356 0.50014 0.000 0.176 0.000 0.824
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.1118 0.86835 0.964 0.036 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.3801 0.69867 0.000 0.220 0.780 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6881 -0.11591 0.072 0.500 0.012 0.416
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0188 0.88584 0.000 0.004 0.996 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.5607 0.00218 0.496 0.020 0.484 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.4472 0.61479 0.220 0.020 0.760 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.3873 0.45363 0.000 0.772 0.228 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.1867 0.62467 0.000 0.072 0.000 0.928
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1209 0.48817 0.032 0.964 0.004 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.5938 -0.01059 0.480 0.036 0.484 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2011 0.48843 0.000 0.920 0.080 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0707 0.67620 0.000 0.020 0.000 0.980
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.3056 0.46395 0.000 0.888 0.040 0.072
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3907 0.44852 0.000 0.768 0.232 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5000 0.02333 0.000 0.500 0.000 0.500
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.2522 0.46362 0.000 0.908 0.016 0.076
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.5000 -0.07921 0.500 0.500 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.7544 0.12343 0.196 0.352 0.000 0.452
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.7906 -0.13262 0.356 0.300 0.344 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4981 -0.01784 0.464 0.536 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.4955 0.21020 0.556 0.444 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.2918 0.43572 0.000 0.876 0.008 0.116
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.7408 -0.02451 0.000 0.464 0.172 0.364
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4866 0.11319 0.000 0.404 0.000 0.596
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4905 0.39554 0.632 0.004 0.000 0.364
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.88897 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.2149 0.60840 0.000 0.088 0.000 0.912
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.1118 0.86203 0.000 0.036 0.964 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0188 0.87408 0.996 0.004 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.4998 0.09308 0.512 0.488 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.5581 0.25782 0.000 0.448 0.020 0.532
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.87523 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.68841 0.000 0.000 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1118 0.85713 0.964 0.036 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4961 0.14685 0.000 0.448 0.552 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.2760 0.48568 0.128 0.872 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0290 0.92396 0.000 0.000 0.000 0.992 0.008
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4138 0.35805 0.000 0.000 0.384 0.616 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.4313 0.53671 0.000 0.008 0.636 0.000 0.356
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0798 0.89697 0.000 0.976 0.008 0.016 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2573 0.78434 0.880 0.016 0.000 0.000 0.104
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2011 0.76624 0.908 0.004 0.000 0.000 0.088
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.7335 0.00254 0.364 0.024 0.284 0.000 0.328
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.1478 0.62563 0.064 0.000 0.000 0.000 0.936
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.7673 0.17538 0.060 0.216 0.376 0.000 0.348
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0912 0.89613 0.000 0.972 0.012 0.016 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1965 0.82691 0.000 0.904 0.096 0.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.7722 -0.00573 0.360 0.232 0.060 0.000 0.348
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.2464 0.78737 0.888 0.016 0.000 0.000 0.096
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.4298 0.49311 0.640 0.008 0.000 0.000 0.352
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.4385 0.72117 0.752 0.068 0.000 0.000 0.180
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0703 0.88870 0.000 0.976 0.000 0.000 0.024
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0798 0.89637 0.000 0.976 0.000 0.016 0.008
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.5139 0.40418 0.000 0.060 0.000 0.316 0.624
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0794 0.89626 0.000 0.972 0.000 0.028 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.4733 0.47934 0.348 0.028 0.000 0.000 0.624
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.7521 -0.16521 0.244 0.044 0.000 0.404 0.308
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.6868 0.17934 0.224 0.008 0.420 0.000 0.348
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.4387 0.49062 0.640 0.012 0.000 0.000 0.348
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1300 0.88808 0.000 0.956 0.028 0.016 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.5073 0.55029 0.688 0.100 0.000 0.000 0.212
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0609 0.81388 0.980 0.000 0.000 0.000 0.020
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.2573 0.78434 0.880 0.016 0.000 0.000 0.104
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.2677 0.79114 0.016 0.872 0.000 0.000 0.112
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.5181 0.49526 0.080 0.268 0.000 0.000 0.652
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2929 0.70563 0.840 0.008 0.000 0.000 0.152
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3845 0.67096 0.000 0.768 0.208 0.000 0.024
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4819 0.56172 0.716 0.192 0.000 0.000 0.092
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.4015 0.49279 0.000 0.652 0.000 0.348 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.2573 0.78350 0.880 0.016 0.000 0.000 0.104
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0798 0.89637 0.000 0.976 0.000 0.016 0.008
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0404 0.88836 0.000 0.012 0.988 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.3786 0.62583 0.204 0.016 0.000 0.776 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0162 0.81570 0.996 0.000 0.000 0.000 0.004
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.2110 0.79644 0.912 0.016 0.000 0.000 0.072
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.4837 0.47159 0.624 0.008 0.020 0.000 0.348
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.6571 -0.12524 0.000 0.404 0.204 0.000 0.392
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.4166 0.50202 0.348 0.004 0.000 0.000 0.648
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.2573 0.78434 0.880 0.016 0.000 0.000 0.104
#> 5A6AF013-C47E-41BE-9102-07E49330D451 5 0.3636 0.48581 0.000 0.272 0.000 0.000 0.728
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0703 0.88870 0.000 0.976 0.000 0.000 0.024
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.5798 0.30993 0.556 0.336 0.000 0.000 0.108
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.3039 0.72357 0.000 0.192 0.808 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.1549 0.80622 0.944 0.016 0.000 0.000 0.040
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.4390 0.28607 0.000 0.428 0.568 0.004 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 5 0.5941 0.55954 0.196 0.004 0.000 0.188 0.612
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0671 0.89053 0.000 0.980 0.016 0.000 0.004
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.3388 0.66124 0.792 0.008 0.000 0.000 0.200
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.5891 0.45739 0.344 0.028 0.000 0.056 0.572
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.6996 0.10813 0.000 0.244 0.456 0.016 0.284
#> E45A1A52-4285-492D-A868-EB18DE119DF3 5 0.2719 0.59530 0.000 0.048 0.068 0.000 0.884
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.2519 0.78547 0.884 0.016 0.000 0.000 0.100
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.4335 0.65443 0.776 0.008 0.064 0.000 0.152
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 3C994968-8C59-4495-975F-D39C908559CE 5 0.2645 0.59598 0.012 0.008 0.096 0.000 0.884
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 5 0.2462 0.60132 0.112 0.008 0.000 0.000 0.880
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.2573 0.78434 0.880 0.016 0.000 0.000 0.104
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.1965 0.83921 0.000 0.000 0.000 0.904 0.096
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 5 0.4359 0.25599 0.000 0.004 0.000 0.412 0.584
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 5 0.5765 0.55443 0.144 0.012 0.000 0.192 0.652
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.4588 0.14804 0.604 0.016 0.000 0.000 0.380
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 5 0.8339 -0.03092 0.176 0.180 0.296 0.000 0.348
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.4040 0.52333 0.724 0.016 0.000 0.000 0.260
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.0798 0.89697 0.000 0.976 0.008 0.016 0.000
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.2777 0.78190 0.016 0.864 0.000 0.000 0.120
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 5 0.6086 0.36879 0.000 0.304 0.152 0.000 0.544
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 5 0.4151 0.50335 0.344 0.004 0.000 0.000 0.652
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0162 0.89394 0.000 0.004 0.996 0.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 5 0.5516 0.27048 0.000 0.004 0.060 0.388 0.548
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.2519 0.78572 0.884 0.016 0.000 0.000 0.100
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 2 0.3649 0.67034 0.152 0.808 0.000 0.000 0.040
#> 9F68C7B1-2778-4A19-A92D-A84198806569 4 0.0510 0.91626 0.000 0.016 0.000 0.984 0.000
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 5 0.6584 0.35670 0.272 0.260 0.000 0.000 0.468
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.0324 0.81543 0.992 0.004 0.000 0.000 0.004
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 2 0.0771 0.89651 0.000 0.976 0.000 0.020 0.004
#> FB666689-F12A-438F-9458-63A96B6088B1 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 2 0.5786 0.24047 0.320 0.584 0.000 0.008 0.088
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 4 0.0510 0.91665 0.000 0.000 0.000 0.984 0.016
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.4269 0.54199 0.684 0.016 0.000 0.000 0.300
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
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#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0865 0.89740 0.000 0.972 0.004 0.024 0.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 5 0.2230 0.58620 0.000 0.000 0.116 0.000 0.884
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.2127 0.81432 0.000 0.892 0.000 0.000 0.108
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.4434 0.49112 0.640 0.008 0.004 0.000 0.348
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.4278 0.15655 0.000 0.000 0.452 0.548 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.5790 0.54769 0.000 0.200 0.616 0.000 0.184
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0932 0.89177 0.000 0.972 0.020 0.004 0.004
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.2293 0.83073 0.000 0.016 0.000 0.900 0.084
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.0404 0.91999 0.000 0.012 0.000 0.988 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 5 0.4151 0.50335 0.344 0.004 0.000 0.000 0.652
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.3796 0.56528 0.000 0.300 0.700 0.000 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0162 0.81544 0.996 0.000 0.000 0.000 0.004
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 5 0.5510 0.51430 0.000 0.208 0.000 0.144 0.648
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.2625 0.78200 0.876 0.016 0.000 0.000 0.108
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0865 0.89740 0.000 0.972 0.004 0.024 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.6654 0.26484 0.180 0.008 0.464 0.000 0.348
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.0671 0.89531 0.000 0.980 0.000 0.016 0.004
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 5 0.1628 0.62408 0.056 0.008 0.000 0.000 0.936
#> 229B786F-7955-409B-A85D-A33D5810F519 5 0.3432 0.57435 0.132 0.040 0.000 0.000 0.828
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.1386 0.80874 0.952 0.016 0.000 0.000 0.032
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.4731 0.01141 0.528 0.016 0.000 0.000 0.456
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0162 0.81471 0.996 0.000 0.000 0.000 0.004
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.2886 0.71314 0.844 0.008 0.000 0.000 0.148
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.4635 0.62959 0.064 0.008 0.000 0.744 0.184
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.2813 0.64135 0.832 0.000 0.000 0.000 0.168
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.3838 0.63670 0.000 0.004 0.716 0.000 0.280
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0703 0.89784 0.000 0.976 0.000 0.024 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0404 0.81476 0.988 0.012 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 5 0.6050 0.36409 0.000 0.312 0.144 0.000 0.544
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.5456 0.59388 0.684 0.016 0.000 0.200 0.100
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.2761 0.78040 0.872 0.024 0.000 0.000 0.104
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.1914 0.80070 0.924 0.016 0.000 0.000 0.060
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3895 0.47067 0.000 0.000 0.000 0.680 0.320
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.6470 0.22360 0.492 0.008 0.000 0.348 0.152
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.2519 0.78547 0.884 0.016 0.000 0.000 0.100
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0404 0.92043 0.000 0.000 0.000 0.988 0.012
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.2573 0.78434 0.880 0.016 0.000 0.000 0.104
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0162 0.89401 0.000 0.004 0.996 0.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.6056 0.40442 0.000 0.132 0.520 0.000 0.348
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0912 0.88298 0.016 0.972 0.000 0.000 0.012
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.6684 0.10482 0.456 0.008 0.352 0.000 0.184
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.6186 0.38573 0.120 0.008 0.532 0.000 0.340
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 5 0.2446 0.60145 0.000 0.044 0.056 0.000 0.900
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 5 0.2130 0.59443 0.012 0.080 0.000 0.000 0.908
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4999 0.45984 0.616 0.008 0.028 0.000 0.348
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 5 0.4622 0.22698 0.000 0.440 0.012 0.000 0.548
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0703 0.88870 0.000 0.976 0.000 0.000 0.024
#> 39691679-6FEB-4767-8718-81CDB63E625F 5 0.3569 0.57997 0.000 0.104 0.068 0.000 0.828
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 5 0.4210 0.25605 0.000 0.000 0.000 0.412 0.588
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0703 0.88870 0.000 0.976 0.000 0.000 0.024
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.4151 0.50335 0.344 0.004 0.000 0.000 0.652
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.2908 0.76971 0.108 0.868 0.000 0.016 0.008
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.4550 0.54755 0.276 0.004 0.028 0.000 0.692
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.1608 0.62355 0.072 0.000 0.000 0.000 0.928
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.4015 0.49899 0.348 0.000 0.000 0.000 0.652
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0290 0.89011 0.000 0.992 0.000 0.000 0.008
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0798 0.89725 0.000 0.976 0.008 0.016 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3561 0.59420 0.000 0.000 0.000 0.740 0.260
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4313 0.40066 0.636 0.000 0.000 0.356 0.008
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.89681 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0290 0.92396 0.000 0.000 0.000 0.992 0.008
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.4166 0.55166 0.000 0.004 0.648 0.000 0.348
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.4538 0.45442 0.364 0.016 0.000 0.000 0.620
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0963 0.89258 0.000 0.964 0.000 0.036 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.81601 1.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.93022 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4283 0.49402 0.644 0.008 0.000 0.000 0.348
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4820 0.54353 0.000 0.068 0.696 0.000 0.236
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.1648 0.61793 0.020 0.040 0.000 0.000 0.940
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.3737 0.3566 0.000 0.000 0.392 0.608 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.5946 -0.3903 0.436 0.336 0.228 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3482 0.7550 0.000 0.316 0.000 0.000 0.684 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0937 0.5774 0.960 0.000 0.000 0.000 0.040 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1610 0.4645 0.916 0.084 0.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.3482 0.7550 0.000 0.316 0.000 0.000 0.684 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.3489 0.7523 0.000 0.288 0.000 0.004 0.708 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4992 0.4330 0.620 0.268 0.000 0.000 0.112 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.2793 0.6516 0.800 0.000 0.000 0.000 0.200 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3482 0.6634 0.316 0.684 0.000 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.5704 -0.1552 0.500 0.084 0.028 0.000 0.000 0.388
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.0790 0.8924 0.000 0.000 0.032 0.000 0.000 0.968
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.1610 0.4645 0.916 0.084 0.000 0.000 0.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.1501 0.5021 0.076 0.000 0.000 0.000 0.924 0.000
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#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.5973 0.6180 0.004 0.632 0.000 0.132 0.084 0.148
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 5 0.3482 0.7550 0.000 0.316 0.000 0.000 0.684 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.1714 0.4677 0.908 0.092 0.000 0.000 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.3499 0.6614 0.320 0.680 0.000 0.000 0.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.2823 0.2570 0.796 0.204 0.000 0.000 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.5351 0.6724 0.144 0.288 0.000 0.000 0.568 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.0692 0.6100 0.004 0.020 0.000 0.000 0.976 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.1501 0.4734 0.924 0.076 0.000 0.000 0.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.4143 0.5614 0.736 0.180 0.000 0.000 0.084 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.3999 0.3622 0.696 0.032 0.000 0.272 0.000 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4837 0.6311 0.512 0.056 0.000 0.000 0.432 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.3619 0.5457 0.316 0.004 0.680 0.000 0.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.3869 -0.5994 0.500 0.000 0.000 0.000 0.500 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5220 0.5060 0.000 0.596 0.140 0.000 0.000 0.264
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.3534 0.5970 0.004 0.024 0.000 0.200 0.772 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.3482 0.7550 0.000 0.316 0.000 0.000 0.684 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.3802 0.7529 0.012 0.312 0.000 0.000 0.676 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3756 0.2136 0.000 0.400 0.000 0.600 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.3629 0.4237 0.724 0.016 0.000 0.260 0.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.0858 0.6181 0.004 0.028 0.000 0.000 0.968 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.3482 0.7550 0.000 0.316 0.000 0.000 0.684 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.6421 -0.1965 0.440 0.088 0.388 0.000 0.000 0.084
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.0937 0.8877 0.040 0.000 0.000 0.000 0.000 0.960
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.2883 0.6531 0.788 0.000 0.000 0.000 0.212 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.4734 0.5872 0.672 0.000 0.120 0.000 0.208 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.3482 0.6634 0.316 0.684 0.000 0.000 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.3789 0.5903 0.416 0.584 0.000 0.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.1387 0.4822 0.932 0.068 0.000 0.000 0.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.3975 0.3958 0.000 0.600 0.008 0.000 0.000 0.392
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0260 0.9506 0.008 0.000 0.000 0.992 0.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3690 0.6662 0.308 0.684 0.000 0.000 0.000 0.008
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3765 0.3423 0.000 0.596 0.000 0.404 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0146 0.5459 0.996 0.004 0.000 0.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.1714 0.4811 0.000 0.908 0.000 0.000 0.092 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.3634 0.5341 0.000 0.296 0.000 0.000 0.008 0.696
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.3063 0.4309 0.000 0.840 0.068 0.000 0.092 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.3898 0.6628 0.296 0.684 0.000 0.000 0.020 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.3681 0.4948 0.156 0.780 0.000 0.000 0.064 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.0000 0.9171 0.000 0.000 0.000 0.000 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3563 0.3967 0.000 0.336 0.000 0.664 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.5495 0.4623 0.540 0.000 0.000 0.304 0.156 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9357 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.5128 0.2288 0.412 0.084 0.504 0.000 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3695 0.7021 0.000 0.376 0.000 0.000 0.624 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.0713 0.8966 0.000 0.000 0.000 0.028 0.000 0.972
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3828 0.6673 0.560 0.000 0.000 0.000 0.440 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.9587 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1765 0.6139 0.904 0.000 0.000 0.000 0.096 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4534 0.2029 0.000 0.380 0.580 0.000 0.000 0.040
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3482 0.6634 0.316 0.684 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["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 17033 rows and 424 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 0.509 0.731 0.874 0.4227 0.542 0.542
#> 3 3 0.533 0.769 0.877 0.4083 0.630 0.447
#> 4 4 0.527 0.617 0.813 0.2150 0.797 0.551
#> 5 5 0.634 0.638 0.807 0.0792 0.826 0.469
#> 6 6 0.693 0.468 0.709 0.0555 0.872 0.498
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.3584 0.8479 0.932 0.068
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.7866 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1184 0.8586 0.984 0.016
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.8909 0.5732 0.692 0.308
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.7866 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.9427 0.5579 0.360 0.640
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.7866 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.8616 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3274 0.8513 0.940 0.060
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8616 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.7866 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.7866 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.9323 0.5800 0.348 0.652
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.3274 0.8513 0.940 0.060
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.8616 1.000 0.000
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#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8616 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.7866 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.7866 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.4298 0.8366 0.912 0.088
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.9323 0.5800 0.348 0.652
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.8616 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.9710 0.4769 0.400 0.600
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.9323 0.5800 0.348 0.652
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9087 0.4993 0.676 0.324
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.8616 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.2043 0.8580 0.968 0.032
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.7866 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0938 0.8609 0.988 0.012
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.9944 0.3861 0.456 0.544
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0376 0.8615 0.996 0.004
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.3733 0.8459 0.928 0.072
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.8909 0.5732 0.692 0.308
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.9323 0.5800 0.348 0.652
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.3431 0.8497 0.936 0.064
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.8763 0.6291 0.296 0.704
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.3274 0.8513 0.940 0.060
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.7866 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.3733 0.8464 0.928 0.072
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.9661 0.4857 0.392 0.608
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.3879 0.8445 0.924 0.076
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0938 0.8601 0.988 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.9635 0.3717 0.612 0.388
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.8616 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.8267 0.6530 0.740 0.260
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.8616 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.9686 0.3436 0.604 0.396
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.3733 0.8459 0.928 0.072
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.1753 0.8413 0.048 0.952 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.1315 0.8882 0.020 0.008 0.972
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2448 0.8709 0.924 0.076 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.1315 0.8428 0.020 0.972 0.008
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0424 0.9048 0.000 0.008 0.992
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4504 0.7477 0.000 0.804 0.196
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9080 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.5948 0.5161 0.360 0.640 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.1529 0.8379 0.040 0.960 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3116 0.8566 0.892 0.108 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0424 0.9048 0.000 0.008 0.992
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9080 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5253 0.7430 0.020 0.792 0.188
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.1163 0.8405 0.028 0.972 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1163 0.8788 0.972 0.028 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.4293 0.7747 0.004 0.832 0.164
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.2878 0.8528 0.904 0.096 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.5497 0.6059 0.292 0.708 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5406 0.7355 0.020 0.780 0.200
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5147 0.7490 0.020 0.800 0.180
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6302 0.7036 0.744 0.208 0.048
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9080 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.1267 0.8396 0.024 0.972 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9080 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.1643 0.8374 0.044 0.956 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.4615 0.7853 0.020 0.836 0.144
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.0592 0.9028 0.000 0.012 0.988
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6225 0.1862 0.000 0.432 0.568
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9080 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0237 0.8415 0.000 0.996 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9080 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0892 0.8798 0.980 0.020 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 3 0.3234 0.8420 0.020 0.072 0.908
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.2774 0.8156 0.072 0.920 0.008
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0892 0.8798 0.980 0.020 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.5835 0.3955 0.340 0.660 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.3879 0.7619 0.152 0.848 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.9080 0.000 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4842 0.7213 0.000 0.776 0.224
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4555 0.7529 0.000 0.800 0.200
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1163 0.8405 0.028 0.972 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5173 0.7898 0.036 0.816 0.148
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9080 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0424 0.8405 0.008 0.992 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.6154 0.4059 0.408 0.592 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6737 0.4640 0.384 0.600 0.016
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2448 0.8740 0.924 0.076 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.2945 0.8291 0.004 0.908 0.088
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.1411 0.8397 0.036 0.964 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1289 0.8755 0.968 0.032 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.0592 0.9028 0.000 0.012 0.988
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9080 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.1289 0.8400 0.032 0.968 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.1529 0.8379 0.040 0.960 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1529 0.8711 0.960 0.040 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.1860 0.8781 0.948 0.052 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.4479 0.8090 0.044 0.860 0.096
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3551 0.8088 0.132 0.868 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.6627 0.5128 0.020 0.644 0.336
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.3879 0.8270 0.848 0.152 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5363 0.6824 0.724 0.276 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4750 0.7286 0.000 0.784 0.216
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.4887 0.7826 0.772 0.228 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.4654 0.6714 0.208 0.792 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.1163 0.8800 0.972 0.028 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.5147 0.7490 0.020 0.800 0.180
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9080 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0237 0.8411 0.004 0.996 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0892 0.8798 0.980 0.020 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.5016 0.6564 0.240 0.760 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 3 0.7029 0.0624 0.020 0.440 0.540
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.9080 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0237 0.8413 0.000 0.996 0.004
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.9080 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.1289 0.8754 0.968 0.032 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4654 0.7355 0.000 0.792 0.208
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.4842 0.6888 0.224 0.776 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9080 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.1031 0.8391 0.024 0.976 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.2446 0.8521 0.936 0.052 0.012
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.5760 0.5297 0.328 0.672 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.5760 0.5228 0.328 0.672 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 2 0.4178 0.7580 0.172 0.828 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.1163 0.8405 0.028 0.972 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4280 0.7963 0.020 0.856 0.124
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0892 0.8419 0.020 0.980 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0424 0.9048 0.000 0.008 0.992
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.5529 0.5443 0.000 0.296 0.704
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 3 0.2297 0.8761 0.020 0.036 0.944
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0892 0.8798 0.980 0.020 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.4974 0.6782 0.236 0.764 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1643 0.8730 0.956 0.044 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.1525 0.8412 0.032 0.964 0.004
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.1031 0.8414 0.024 0.976 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.5948 0.4092 0.000 0.360 0.640
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.5560 0.6051 0.300 0.700 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.9080 0.000 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9080 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.4399 0.8005 0.812 0.188 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.4654 0.6988 0.000 0.208 0.792
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.5882 0.6088 0.652 0.348 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.9080 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.2796 0.8256 0.092 0.908 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.2846 0.8331 0.020 0.924 0.056
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.4235 0.7658 0.000 0.824 0.176
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.9080 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.4346 0.8247 0.816 0.184 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.9080 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.5988 0.5105 0.368 0.632 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.1163 0.8398 0.028 0.972 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.6274 0.3183 0.000 0.544 0.456
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.1399 0.8414 0.028 0.968 0.004
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.3551 0.8396 0.868 0.132 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.9080 0.000 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.9080 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.3412 0.7902 0.124 0.876 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.1529 0.8379 0.040 0.960 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.1163 0.8405 0.028 0.972 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.6738 0.5192 0.020 0.624 0.356
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0892 0.8798 0.980 0.020 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.1529 0.8397 0.040 0.960 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.3340 0.8515 0.880 0.120 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.4235 0.7669 0.176 0.824 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.1163 0.8405 0.028 0.972 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.7029 0.2997 0.020 0.540 0.440
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5503 0.7298 0.020 0.772 0.208
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.9080 0.000 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.9080 0.000 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.2625 0.8291 0.084 0.916 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.1643 0.8414 0.044 0.956 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.2537 0.8240 0.080 0.920 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.0892 0.8419 0.020 0.980 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.6180 0.1799 0.584 0.416 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.4555 0.7437 0.000 0.800 0.200
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.0424 0.8416 0.000 0.992 0.008
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 3 0.6905 0.0153 0.016 0.440 0.544
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0892 0.8798 0.980 0.020 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.5397 0.6415 0.280 0.720 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.4842 0.7258 0.000 0.776 0.224
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.1163 0.8405 0.028 0.972 0.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.9080 0.000 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 3 0.7584 0.5663 0.220 0.104 0.676
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#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.5219 0.7454 0.016 0.788 0.196
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.1315 0.8440 0.020 0.972 0.008
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.0237 0.8416 0.000 0.996 0.004
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0747 0.8415 0.000 0.984 0.016
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 3 0.7616 0.4907 0.072 0.292 0.636
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.5905 0.5392 0.352 0.648 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.9080 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.4862 0.7674 0.020 0.820 0.160
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.4931 0.6816 0.232 0.768 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.4842 0.7258 0.000 0.776 0.224
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0892 0.8798 0.980 0.020 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.7054 0.2608 0.020 0.524 0.456
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9080 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.1529 0.8379 0.040 0.960 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0892 0.8798 0.980 0.020 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 3 0.1031 0.8933 0.000 0.024 0.976
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.5291 0.7225 0.732 0.268 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.2550 0.8364 0.056 0.932 0.012
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6087 0.7626 0.076 0.780 0.144
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.1585 0.8417 0.028 0.964 0.008
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1163 0.8405 0.028 0.972 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.4842 0.7721 0.776 0.224 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.4796 0.6957 0.220 0.780 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0892 0.8798 0.980 0.020 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.1643 0.8353 0.044 0.956 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9080 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.1643 0.8373 0.044 0.956 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.6332 0.7438 0.768 0.144 0.088
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.3141 0.8253 0.020 0.912 0.068
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.1529 0.8379 0.040 0.960 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9080 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.6126 0.4559 0.400 0.600 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.2625 0.8599 0.916 0.084 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.4452 0.7588 0.000 0.808 0.192
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.4002 0.7792 0.000 0.840 0.160
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.2878 0.8538 0.904 0.096 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6284 0.6320 0.016 0.680 0.304
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.5926 0.4443 0.356 0.644 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6045 0.4688 0.380 0.620 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0237 0.9064 0.000 0.004 0.996
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0892 0.8798 0.980 0.020 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.1753 0.8667 0.952 0.048 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9080 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.5574 0.7587 0.032 0.784 0.184
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.1411 0.8733 0.964 0.036 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.1289 0.8400 0.032 0.968 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.6299 0.1632 0.524 0.476 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0892 0.8798 0.980 0.020 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.5058 0.7077 0.000 0.756 0.244
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9080 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.6839 0.5959 0.044 0.684 0.272
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.4452 0.7801 0.808 0.192 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.1411 0.8733 0.964 0.036 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.5254 0.6030 0.000 0.264 0.736
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0892 0.8419 0.020 0.980 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0237 0.8413 0.004 0.996 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.5621 0.6240 0.000 0.692 0.308
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.1832 0.8438 0.036 0.956 0.008
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.4521 0.7709 0.004 0.816 0.180
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.1399 0.8414 0.028 0.968 0.004
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.2301 0.8375 0.060 0.936 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5730 0.7684 0.060 0.796 0.144
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.5016 0.7028 0.240 0.760 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1529 0.8379 0.040 0.960 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.0848 0.8430 0.008 0.984 0.008
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5253 0.7625 0.020 0.792 0.188
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.8408 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9080 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4062 0.7761 0.000 0.836 0.164
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.1315 0.8428 0.020 0.972 0.008
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1163 0.8405 0.028 0.972 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9080 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9080 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.1529 0.8379 0.040 0.960 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0892 0.8798 0.980 0.020 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9080 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0424 0.9048 0.000 0.008 0.992
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1453 0.8432 0.008 0.968 0.024
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5406 0.7330 0.020 0.780 0.200
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.5968 0.5259 0.364 0.636 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.6589 0.6187 0.280 0.688 0.032
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.6229 0.6361 0.020 0.700 0.280
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.4172 0.7853 0.156 0.840 0.004
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1529 0.8778 0.960 0.040 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1753 0.8364 0.048 0.952 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0237 0.9064 0.000 0.004 0.996
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.1860 0.8404 0.052 0.948 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.7032 0.5170 0.368 0.604 0.028
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.1411 0.8400 0.036 0.964 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0424 0.8411 0.008 0.992 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0892 0.8380 0.020 0.980 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.4654 0.7355 0.000 0.792 0.208
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1753 0.8413 0.048 0.952 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.6651 0.3753 0.020 0.340 0.640
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1529 0.8379 0.040 0.960 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9080 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.1989 0.8420 0.048 0.948 0.004
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.4575 0.7865 0.012 0.828 0.160
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.5327 0.5099 0.272 0.728 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.5678 0.6024 0.316 0.684 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3769 0.8148 0.016 0.880 0.104
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1860 0.8752 0.948 0.052 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.1399 0.8403 0.028 0.968 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.6225 0.4357 0.568 0.432 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4139 0.8100 0.016 0.860 0.124
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1399 0.8414 0.028 0.968 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.2973 0.69902 0.000 0.144 0.000 0.856
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4477 0.47869 0.000 0.000 0.688 0.312
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2011 0.79865 0.920 0.080 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2011 0.70419 0.000 0.920 0.000 0.080
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.2011 0.84357 0.000 0.000 0.920 0.080
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.7345 0.31229 0.000 0.492 0.336 0.172
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.7090 0.44233 0.132 0.372 0.000 0.496
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.0000 0.71356 0.000 1.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.2011 0.79731 0.920 0.080 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2011 0.84357 0.000 0.000 0.920 0.080
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.71356 0.000 1.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1022 0.80472 0.968 0.032 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.8744 0.40193 0.100 0.492 0.260 0.148
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3219 0.73952 0.836 0.164 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.6716 0.42387 0.092 0.404 0.000 0.504
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4441 0.72223 0.828 0.104 0.048 0.020
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5807 0.61103 0.160 0.708 0.000 0.132
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.71356 0.000 1.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.8952 0.45084 0.156 0.496 0.204 0.144
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.2976 0.80910 0.000 0.008 0.872 0.120
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6192 0.51611 0.000 0.244 0.652 0.104
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.4295 0.61695 0.000 0.752 0.008 0.240
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.80223 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.1792 0.71119 0.000 0.000 0.068 0.932
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.5905 0.60705 0.156 0.700 0.000 0.144
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.80223 1.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.6150 0.32039 0.360 0.580 0.000 0.060
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.7285 0.35908 0.180 0.300 0.000 0.520
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.7023 0.38136 0.000 0.544 0.312 0.144
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.6482 0.55534 0.000 0.640 0.208 0.152
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2589 0.63441 0.000 0.884 0.000 0.116
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.2179 0.72513 0.000 0.064 0.012 0.924
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.4356 0.52532 0.000 0.292 0.000 0.708
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.7216 0.24295 0.412 0.448 0.000 0.140
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.6970 0.48551 0.272 0.128 0.008 0.592
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.4920 0.70237 0.768 0.164 0.000 0.068
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.5522 0.60192 0.000 0.716 0.204 0.080
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.2081 0.70484 0.000 0.916 0.000 0.084
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.80223 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.2675 0.82528 0.000 0.008 0.892 0.100
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.1716 0.71161 0.000 0.936 0.000 0.064
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.0336 0.71238 0.000 0.992 0.000 0.008
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.80223 1.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.7500 -0.17629 0.412 0.180 0.000 0.408
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.8125 0.54247 0.156 0.588 0.112 0.144
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.2675 0.69569 0.100 0.892 0.000 0.008
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0524 0.72940 0.000 0.008 0.004 0.988
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1940 0.78698 0.924 0.076 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.3400 0.72966 0.820 0.180 0.000 0.000
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#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.0336 0.71238 0.000 0.992 0.000 0.008
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.80223 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.2011 0.84357 0.000 0.000 0.920 0.080
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.2742 0.70574 0.000 0.900 0.024 0.076
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4072 0.49826 0.252 0.748 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.7998 0.35967 0.336 0.480 0.028 0.156
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5586 0.63012 0.184 0.732 0.008 0.076
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3172 0.74063 0.840 0.160 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0188 0.71314 0.004 0.996 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1118 0.87001 0.000 0.000 0.964 0.036
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.2011 0.71849 0.000 0.080 0.000 0.920
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.1256 0.72657 0.008 0.000 0.028 0.964
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0336 0.71216 0.008 0.992 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.1716 0.70607 0.000 0.936 0.000 0.064
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.72995 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.7513 0.35190 0.000 0.488 0.296 0.216
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3024 0.70006 0.000 0.148 0.000 0.852
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.7085 0.41674 0.000 0.200 0.232 0.568
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.4830 -0.07483 0.000 0.608 0.000 0.392
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.88793 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.2921 0.70143 0.000 0.140 0.000 0.860
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6351 0.39133 0.000 0.588 0.332 0.080
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.4981 0.33382 0.000 0.464 0.000 0.536
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.3726 0.58463 0.212 0.788 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.5073 0.59041 0.000 0.200 0.056 0.744
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1637 0.79645 0.940 0.060 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0921 0.73217 0.000 0.028 0.000 0.972
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.4843 -0.03617 0.396 0.604 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4956 0.64860 0.000 0.776 0.116 0.108
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.71356 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4101 0.39212 0.000 0.000 0.628 0.372 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3958 0.77507 0.776 0.040 0.000 0.000 0.184
#> C3B7657E-B340-4808-86D9-277E661D48DD 5 0.4074 0.40415 0.000 0.364 0.000 0.000 0.636
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3636 0.64075 0.000 0.272 0.728 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1701 0.71127 0.000 0.936 0.048 0.000 0.016
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.5562 0.25974 0.020 0.032 0.000 0.496 0.452
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1792 0.81093 0.916 0.000 0.000 0.000 0.084
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.3636 0.64075 0.000 0.272 0.728 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 5 0.1851 0.79673 0.000 0.088 0.000 0.000 0.912
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4980 0.69970 0.676 0.072 0.000 0.000 0.252
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1648 0.71215 0.000 0.940 0.040 0.000 0.020
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1851 0.81152 0.912 0.000 0.000 0.000 0.088
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.4747 0.22640 0.016 0.000 0.000 0.496 0.488
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6309 0.54024 0.584 0.272 0.016 0.004 0.124
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.2127 0.69374 0.000 0.892 0.000 0.000 0.108
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.1851 0.79673 0.000 0.088 0.000 0.000 0.912
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0798 0.71029 0.000 0.976 0.008 0.000 0.016
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3242 0.55979 0.000 0.784 0.216 0.000 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.4375 0.10426 0.000 0.576 0.420 0.000 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.4624 0.63785 0.000 0.740 0.000 0.164 0.096
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0290 0.83301 0.992 0.008 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.1544 0.70122 0.000 0.932 0.000 0.000 0.068
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.2017 0.81644 0.912 0.008 0.000 0.000 0.080
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.4871 0.53555 0.084 0.704 0.000 0.000 0.212
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6286 0.44088 0.012 0.584 0.000 0.220 0.184
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1410 0.83564 0.000 0.060 0.940 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.1701 0.71127 0.000 0.936 0.048 0.000 0.016
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2144 0.70414 0.000 0.912 0.068 0.000 0.020
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.2824 0.78767 0.000 0.096 0.000 0.032 0.872
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.2850 0.69605 0.000 0.872 0.000 0.092 0.036
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4514 0.59563 0.076 0.764 0.000 0.008 0.152
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6844 0.11132 0.020 0.464 0.000 0.348 0.168
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.4866 0.40493 0.036 0.620 0.000 0.000 0.344
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.6542 0.15581 0.000 0.428 0.200 0.000 0.372
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.4306 0.00427 0.000 0.508 0.000 0.000 0.492
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2079 0.82334 0.916 0.064 0.000 0.000 0.020
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.4302 0.21732 0.000 0.480 0.520 0.000 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.4256 0.22413 0.000 0.564 0.000 0.000 0.436
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3410 0.79728 0.840 0.068 0.000 0.000 0.092
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.7240 0.08393 0.076 0.332 0.000 0.116 0.476
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.1579 0.71327 0.000 0.944 0.032 0.000 0.024
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.4054 0.69420 0.020 0.248 0.000 0.000 0.732
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3242 0.58397 0.000 0.216 0.000 0.784 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0609 0.83024 0.980 0.000 0.000 0.000 0.020
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5375 0.63015 0.664 0.136 0.000 0.000 0.200
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3075 0.69367 0.000 0.860 0.048 0.000 0.092
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.4990 0.53285 0.628 0.048 0.000 0.000 0.324
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.4213 0.44568 0.012 0.680 0.000 0.000 0.308
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.4215 0.57326 0.168 0.064 0.000 0.000 0.768
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.3169 0.66850 0.000 0.840 0.004 0.140 0.016
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.6452 0.23872 0.000 0.284 0.000 0.496 0.220
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2992 0.81343 0.868 0.064 0.000 0.000 0.068
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.6885 -0.12176 0.004 0.312 0.000 0.280 0.404
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.1478 0.70421 0.000 0.936 0.000 0.000 0.064
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.83169 1.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1701 0.71127 0.000 0.936 0.048 0.000 0.016
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.4747 0.23271 0.016 0.000 0.000 0.500 0.484
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.5875 0.15680 0.332 0.568 0.000 0.008 0.092
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.0955 0.76387 0.028 0.004 0.000 0.000 0.968
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.6000 0.23017 0.004 0.456 0.000 0.096 0.444
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 5 0.4624 0.71376 0.144 0.112 0.000 0.000 0.744
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4307 -0.09761 0.000 0.500 0.000 0.000 0.500
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.3561 0.65529 0.000 0.260 0.740 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.4182 0.50408 0.000 0.352 0.644 0.000 0.004
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.4865 0.70204 0.684 0.064 0.000 0.000 0.252
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.0960 0.76734 0.016 0.008 0.000 0.004 0.972
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.5236 0.70833 0.684 0.152 0.000 0.000 0.164
#> 5A6AF013-C47E-41BE-9102-07E49330D451 5 0.2127 0.79033 0.000 0.108 0.000 0.000 0.892
#> 814B2873-3E3E-419E-BA53-F65E322D9338 5 0.3876 0.54589 0.000 0.316 0.000 0.000 0.684
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.4415 0.28693 0.000 0.444 0.552 0.000 0.004
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 5 0.3582 0.58035 0.008 0.224 0.000 0.000 0.768
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.5992 0.33113 0.088 0.008 0.000 0.504 0.400
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.4410 0.03125 0.000 0.556 0.440 0.000 0.004
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.5333 0.50627 0.628 0.068 0.000 0.004 0.300
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 5 0.5967 0.70228 0.048 0.096 0.108 0.032 0.716
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.1725 0.71157 0.000 0.936 0.044 0.000 0.020
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 2 0.6762 -0.10407 0.340 0.388 0.000 0.000 0.272
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 4 0.6099 0.21940 0.024 0.064 0.000 0.460 0.452
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.1671 0.77646 0.000 0.076 0.000 0.924 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.4412 0.68876 0.000 0.132 0.780 0.012 0.076
#> E45A1A52-4285-492D-A868-EB18DE119DF3 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 5 0.2248 0.72964 0.088 0.012 0.000 0.000 0.900
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.2020 0.80854 0.000 0.100 0.900 0.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.1992 0.69547 0.044 0.924 0.000 0.000 0.032
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 3C994968-8C59-4495-975F-D39C908559CE 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
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#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 5 0.4211 0.40796 0.000 0.360 0.000 0.004 0.636
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.3790 0.63755 0.000 0.272 0.724 0.000 0.004
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 4 0.4923 0.49058 0.000 0.284 0.020 0.672 0.024
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 5 0.1372 0.75986 0.016 0.004 0.000 0.024 0.956
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.3612 0.64580 0.000 0.268 0.732 0.000 0.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 2 0.5295 0.51255 0.000 0.664 0.000 0.112 0.224
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.1408 0.71055 0.000 0.948 0.008 0.000 0.044
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.5096 0.68078 0.656 0.072 0.000 0.000 0.272
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 4 0.2424 0.74803 0.000 0.000 0.000 0.868 0.132
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 5 0.2046 0.76517 0.016 0.068 0.000 0.000 0.916
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 5 0.0898 0.75999 0.020 0.008 0.000 0.000 0.972
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 2 0.5294 0.09722 0.380 0.564 0.000 0.000 0.056
#> 2908E927-F233-446D-AED9-D26F36013EDA 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 4 0.3586 0.55503 0.000 0.264 0.000 0.736 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0404 0.83105 0.988 0.000 0.000 0.000 0.012
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 5 0.4602 0.54633 0.028 0.316 0.000 0.000 0.656
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.6449 0.24707 0.084 0.536 0.340 0.000 0.040
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.1478 0.70421 0.000 0.936 0.000 0.000 0.064
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.4927 0.39357 0.004 0.584 0.000 0.024 0.388
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 5 0.4127 0.44047 0.312 0.008 0.000 0.000 0.680
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 5 0.3844 0.62022 0.132 0.064 0.000 0.000 0.804
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.5858 0.35150 0.568 0.348 0.064 0.000 0.020
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0162 0.83222 0.996 0.004 0.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.1869 0.71417 0.000 0.936 0.036 0.016 0.012
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0162 0.83235 0.996 0.000 0.000 0.000 0.004
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0162 0.83235 0.996 0.000 0.000 0.000 0.004
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0609 0.83206 0.980 0.000 0.000 0.000 0.020
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.6613 0.26158 0.000 0.348 0.456 0.192 0.004
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.1965 0.81127 0.000 0.096 0.904 0.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.3876 0.65207 0.000 0.812 0.068 0.116 0.004
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.1697 0.70645 0.000 0.932 0.000 0.008 0.060
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 5 0.4339 0.55956 0.000 0.296 0.000 0.020 0.684
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.0609 0.70704 0.000 0.980 0.000 0.000 0.020
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.4074 0.32868 0.000 0.636 0.000 0.000 0.364
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.4192 0.56851 0.000 0.736 0.032 0.232 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.6933 0.11272 0.000 0.344 0.028 0.468 0.160
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.4031 0.61670 0.000 0.772 0.000 0.184 0.044
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.4108 0.67418 0.000 0.804 0.012 0.068 0.116
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.3612 0.51909 0.000 0.764 0.228 0.000 0.008
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.5707 0.58409 0.016 0.164 0.000 0.668 0.152
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.2516 0.72328 0.000 0.140 0.000 0.860 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 5 0.1211 0.76049 0.016 0.000 0.000 0.024 0.960
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.4752 0.12044 0.000 0.568 0.412 0.000 0.020
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.4840 0.70990 0.688 0.064 0.000 0.000 0.248
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 5 0.2127 0.79033 0.000 0.108 0.000 0.000 0.892
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.4959 0.70896 0.684 0.076 0.000 0.000 0.240
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.3913 0.40671 0.000 0.676 0.324 0.000 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.4297 0.07235 0.528 0.000 0.000 0.000 0.472
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.4302 -0.07713 0.000 0.520 0.000 0.000 0.480
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.0579 0.70738 0.000 0.984 0.008 0.000 0.008
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 5 0.2127 0.79033 0.000 0.108 0.000 0.000 0.892
#> 229B786F-7955-409B-A85D-A33D5810F519 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.4796 0.62762 0.152 0.120 0.000 0.000 0.728
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.1461 0.76139 0.016 0.004 0.000 0.028 0.952
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0290 0.83187 0.992 0.000 0.000 0.000 0.008
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.4818 0.06110 0.000 0.460 0.000 0.020 0.520
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 2 0.5064 0.45059 0.248 0.688 0.016 0.000 0.048
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.5677 0.13248 0.000 0.080 0.000 0.496 0.424
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 5 0.4114 0.39781 0.376 0.000 0.000 0.000 0.624
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0404 0.83105 0.988 0.000 0.000 0.000 0.012
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5044 0.12001 0.000 0.556 0.408 0.000 0.036
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.1822 0.71266 0.000 0.936 0.036 0.004 0.024
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.4291 0.01898 0.536 0.000 0.000 0.000 0.464
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 5 0.6573 0.20615 0.000 0.224 0.320 0.000 0.456
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.4747 0.22640 0.016 0.000 0.000 0.496 0.488
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.3906 0.61123 0.068 0.800 0.000 0.000 0.132
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.2280 0.79366 0.000 0.120 0.880 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0162 0.83235 0.996 0.000 0.000 0.000 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.5102 0.66898 0.684 0.216 0.000 0.000 0.100
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.0798 0.80872 0.000 0.000 0.008 0.976 0.016
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0404 0.83105 0.988 0.000 0.000 0.000 0.012
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.6107 0.21002 0.000 0.132 0.000 0.496 0.372
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.1281 0.75985 0.032 0.000 0.000 0.012 0.956
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0451 0.83267 0.988 0.008 0.000 0.000 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.4613 0.45611 0.000 0.360 0.620 0.000 0.020
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0510 0.83030 0.984 0.000 0.000 0.000 0.016
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5236 0.70823 0.684 0.152 0.000 0.000 0.164
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4084 0.54843 0.000 0.328 0.668 0.000 0.004
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 5 0.4015 0.43913 0.000 0.348 0.000 0.000 0.652
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.1544 0.70373 0.000 0.932 0.000 0.000 0.068
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.4585 0.47418 0.000 0.352 0.628 0.000 0.020
#> F18497E5-C192-4A7A-9C22-263681E797DF 5 0.4030 0.43138 0.000 0.352 0.000 0.000 0.648
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.6763 0.17593 0.000 0.396 0.280 0.000 0.324
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 5 0.1908 0.79585 0.000 0.092 0.000 0.000 0.908
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.3707 0.51595 0.000 0.716 0.000 0.000 0.284
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 5 0.5128 0.41780 0.000 0.344 0.052 0.000 0.604
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5687 0.35785 0.000 0.580 0.000 0.316 0.104
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.1741 0.71160 0.000 0.936 0.040 0.000 0.024
#> 39691679-6FEB-4767-8718-81CDB63E625F 5 0.4074 0.40415 0.000 0.364 0.000 0.000 0.636
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 5 0.3043 0.78260 0.000 0.080 0.000 0.056 0.864
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.2011 0.79688 0.000 0.088 0.000 0.004 0.908
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0162 0.83235 0.996 0.000 0.000 0.000 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.3636 0.64075 0.000 0.272 0.728 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4840 0.50005 0.000 0.676 0.000 0.056 0.268
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.2903 0.69122 0.080 0.048 0.000 0.000 0.872
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.1914 0.68207 0.060 0.924 0.000 0.000 0.016
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.4637 0.35256 0.008 0.420 0.004 0.000 0.568
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.83169 1.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.1851 0.79673 0.000 0.088 0.000 0.000 0.912
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.2605 0.77000 0.000 0.148 0.852 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0290 0.81679 0.008 0.000 0.000 0.992 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.1851 0.79673 0.000 0.088 0.000 0.000 0.912
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3966 0.42686 0.000 0.664 0.000 0.000 0.336
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1701 0.71127 0.000 0.936 0.048 0.000 0.016
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0162 0.81943 0.000 0.004 0.000 0.996 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3790 0.53381 0.000 0.000 0.272 0.724 0.004
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.2511 0.79129 0.000 0.080 0.000 0.028 0.892
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.87022 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 5 0.6772 -0.10833 0.000 0.364 0.272 0.000 0.364
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6192 0.35818 0.000 0.532 0.000 0.168 0.300
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.1872 0.73932 0.020 0.052 0.000 0.000 0.928
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3899 0.61748 0.000 0.780 0.008 0.192 0.020
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0162 0.83235 0.996 0.000 0.000 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.82099 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.2351 0.79524 0.016 0.088 0.000 0.000 0.896
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4937 0.11756 0.000 0.544 0.028 0.000 0.428
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.1851 0.79687 0.000 0.088 0.000 0.000 0.912
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.8749 0.000 0.000 0.000 1.000 0.000 0.000
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#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0146 0.8726 0.004 0.000 0.000 0.996 0.000 0.000
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#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.8749 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.5309 0.4552 0.000 0.228 0.176 0.596 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.2996 0.6798 0.000 0.772 0.000 0.000 0.000 0.228
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8665 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.8749 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.4202 0.3166 0.000 0.224 0.064 0.000 0.000 0.712
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6517 -0.0606 0.452 0.360 0.000 0.076 0.000 0.112
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.3774 0.1581 0.000 0.592 0.000 0.000 0.408 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.5745 -0.3969 0.448 0.036 0.000 0.072 0.000 0.444
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3843 0.1963 0.548 0.000 0.000 0.000 0.452 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.8749 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.2996 0.6798 0.000 0.772 0.000 0.000 0.000 0.228
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 6 0.3672 0.4410 0.000 0.304 0.008 0.000 0.000 0.688
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.7124 0.000 1.000 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["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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.199 0.498 0.730 0.3939 0.676 0.676
#> 3 3 0.381 0.577 0.798 0.4414 0.626 0.501
#> 4 4 0.514 0.509 0.769 0.2015 0.634 0.363
#> 5 5 0.446 0.477 0.708 0.0737 0.780 0.466
#> 6 6 0.538 0.393 0.625 0.0870 0.807 0.402
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.9491 0.5415 0.632 0.368
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.8813 0.2331 0.300 0.700
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.7219 0.6487 0.800 0.200
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.9427 -0.1606 0.640 0.360
#> 622A8E32-1738-4F33-9108-39573001E650 1 0.9993 -0.4913 0.516 0.484
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.1414 0.6501 0.980 0.020
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.9358 0.7506 0.352 0.648
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.9000 0.5726 0.684 0.316
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3733 0.6621 0.928 0.072
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.8081 0.6288 0.752 0.248
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.9358 0.7506 0.352 0.648
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.9358 0.7506 0.352 0.648
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 1 0.9552 0.5437 0.624 0.376
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0672 0.6557 0.992 0.008
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.8443 0.6155 0.728 0.272
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.1414 0.6501 0.980 0.020
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.8207 0.6248 0.744 0.256
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.9608 0.5370 0.616 0.384
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.9552 0.5437 0.624 0.376
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.9552 0.5437 0.624 0.376
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2423 0.6512 0.960 0.040
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.9358 0.7506 0.352 0.648
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.1184 0.6515 0.984 0.016
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.9358 0.7506 0.352 0.648
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.9815 -0.0718 0.580 0.420
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.1414 0.6501 0.980 0.020
#> BFF05691-3DC6-4666-A586-5DA826190D0C 1 0.1414 0.6501 0.980 0.020
#> A727EECD-701F-49C2-A98D-6A85179053B3 1 0.1414 0.6501 0.980 0.020
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.9358 0.7506 0.352 0.648
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.2236 0.6524 0.964 0.036
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.8267 0.6259 0.260 0.740
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.7883 0.6344 0.764 0.236
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 1 0.9552 0.5437 0.624 0.376
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.1184 0.6515 0.984 0.016
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.7528 0.6428 0.784 0.216
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0938 0.6558 0.988 0.012
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.1414 0.6501 0.980 0.020
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.9358 0.7506 0.352 0.648
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.1633 0.6476 0.976 0.024
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.1414 0.6501 0.980 0.020
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.9209 0.1595 0.336 0.664
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 1 0.9552 0.5437 0.624 0.376
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.9358 0.7506 0.352 0.648
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.3431 0.6532 0.936 0.064
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.3274 0.6663 0.940 0.060
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.5737 0.6661 0.864 0.136
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0672 0.6558 0.992 0.008
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.4298 0.6733 0.912 0.088
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.1843 0.6543 0.972 0.028
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.6343 0.6594 0.840 0.160
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 1 0.1414 0.6501 0.980 0.020
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.9358 0.7506 0.352 0.648
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0376 0.6554 0.996 0.004
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.5519 0.6644 0.872 0.128
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#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.6048 0.6669 0.852 0.148
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.1414 0.6501 0.980 0.020
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#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 1 0.9552 0.5437 0.624 0.376
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.8144 0.6268 0.748 0.252
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5059 0.6650 0.888 0.112
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.2948 0.6213 0.948 0.052
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.8207 0.6248 0.744 0.256
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0672 0.6558 0.992 0.008
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.8207 0.6248 0.744 0.256
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 1 0.8016 0.6136 0.756 0.244
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.9358 0.7506 0.352 0.648
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.9460 0.5531 0.636 0.364
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.5842 0.6625 0.860 0.140
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.7376 0.6442 0.792 0.208
#> D65DB90F-4495-467D-A204-F67996E1E515 1 0.9552 0.5437 0.624 0.376
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.9358 0.7506 0.352 0.648
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.1414 0.6501 0.980 0.020
#> 9F93BF19-4B00-4828-AACD-10B455706954 1 0.9608 -0.2154 0.616 0.384
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.6801 0.6544 0.820 0.180
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 1 0.2778 0.6525 0.952 0.048
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.9460 0.5451 0.636 0.364
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.9358 0.7506 0.352 0.648
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#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.9358 0.7506 0.352 0.648
#> A07AEAE4-FB94-4902-9857-8686C61920E0 1 0.9896 -0.3865 0.560 0.440
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#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.0672 0.6557 0.992 0.008
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#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.0672 0.6579 0.992 0.008
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#> 321A3603-B668-4E2C-B605-2AC9F447326F 1 0.3114 0.6648 0.944 0.056
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#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.6548 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 1 0.9552 0.5437 0.624 0.376
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.9491 0.5447 0.632 0.368
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 1 0.9661 -0.2363 0.608 0.392
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.9815 0.0941 0.420 0.580
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.8207 0.6248 0.744 0.256
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.9427 -0.1605 0.640 0.360
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 1 0.2043 0.6522 0.968 0.032
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.8207 0.6248 0.744 0.256
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 1 0.9427 -0.1021 0.640 0.360
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.9427 0.5454 0.640 0.360
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.1633 0.6511 0.976 0.024
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.9358 0.7506 0.352 0.648
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.8207 0.6248 0.744 0.256
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2948 0.6703 0.948 0.052
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.9358 0.7506 0.352 0.648
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.8555 0.2214 0.280 0.720
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.8207 0.6248 0.744 0.256
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.9460 0.5507 0.636 0.364
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.8267 0.6229 0.740 0.260
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.8207 0.6248 0.744 0.256
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.9896 0.6358 0.440 0.560
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.9358 0.7506 0.352 0.648
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 1 0.9580 0.5352 0.620 0.380
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.8016 0.6307 0.756 0.244
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.1414 0.6553 0.980 0.020
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 1 0.9323 -0.1336 0.652 0.348
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.8207 0.1784 0.744 0.256
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.1414 0.6501 0.980 0.020
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.9686 0.7019 0.396 0.604
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.9754 -0.0747 0.592 0.408
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.9580 -0.0943 0.620 0.380
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.9460 -0.1016 0.636 0.364
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.9552 0.5437 0.624 0.376
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.9552 0.5437 0.624 0.376
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.9393 0.5453 0.644 0.356
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.3274 0.6313 0.940 0.060
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0672 0.6555 0.992 0.008
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 1 0.9460 -0.1016 0.636 0.364
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.8144 0.6187 0.748 0.252
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.9358 0.7506 0.352 0.648
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 1 0.8443 0.1170 0.728 0.272
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.9248 -0.1198 0.660 0.340
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.8555 0.2214 0.280 0.720
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.9358 0.7506 0.352 0.648
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.9358 0.7506 0.352 0.648
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.5059 0.6657 0.888 0.112
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.8207 0.6248 0.744 0.256
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.9358 0.7506 0.352 0.648
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.9358 0.7506 0.352 0.648
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.0376 0.6568 0.996 0.004
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.9552 0.5437 0.624 0.376
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.9988 0.0985 0.480 0.520
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.1414 0.6501 0.980 0.020
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.9552 0.5437 0.624 0.376
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9248 -0.1061 0.660 0.340
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.8207 0.6248 0.744 0.256
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.9896 -0.0663 0.560 0.440
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.9358 0.7506 0.352 0.648
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.9552 0.5437 0.624 0.376
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.9552 0.5437 0.624 0.376
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.9460 -0.1016 0.636 0.364
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0672 0.6536 0.992 0.008
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.9552 0.5437 0.624 0.376
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 1 0.1414 0.6501 0.980 0.020
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.9552 0.5437 0.624 0.376
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.8555 0.2214 0.280 0.720
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9661 0.5309 0.608 0.392
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.9358 0.7506 0.352 0.648
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.9491 0.5447 0.632 0.368
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.9635 -0.2238 0.612 0.388
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.5178 0.6724 0.884 0.116
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.4562 0.6010 0.904 0.096
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.4022 0.6573 0.920 0.080
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.8207 0.6248 0.744 0.256
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.9552 0.5437 0.624 0.376
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.6148 0.6612 0.848 0.152
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.9732 -0.2239 0.596 0.404
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.9460 -0.1016 0.636 0.364
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6280 -0.28135 0.460 0.540 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 1 0.6225 0.44495 0.568 0.432 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4452 0.67668 0.808 0.192 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.4575 0.53437 0.828 0.160 0.012
#> 622A8E32-1738-4F33-9108-39573001E650 1 0.9445 -0.10802 0.472 0.192 0.336
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.6565 0.61226 0.416 0.576 0.008
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.93783 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.6291 0.40891 0.532 0.468 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1860 0.67292 0.948 0.052 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5115 0.65792 0.768 0.228 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0424 0.93100 0.008 0.000 0.992
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2959 0.82436 0.100 0.000 0.900
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0892 0.64327 0.020 0.980 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0848 0.69030 0.984 0.008 0.008
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.5138 0.64625 0.748 0.252 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.6553 0.61695 0.412 0.580 0.008
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.5016 0.65434 0.760 0.240 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.6215 0.44689 0.572 0.428 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0892 0.64327 0.020 0.980 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0892 0.64327 0.020 0.980 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0424 0.69226 0.992 0.008 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.93783 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.2165 0.66514 0.936 0.064 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.93783 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.1031 0.69334 0.976 0.024 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.5580 0.36214 0.736 0.256 0.008
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.6553 0.61695 0.412 0.580 0.008
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.6577 0.60638 0.420 0.572 0.008
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.93783 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.6553 0.61695 0.412 0.580 0.008
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.8010 0.36706 0.068 0.384 0.548
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.4702 0.66704 0.788 0.212 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0892 0.64327 0.020 0.980 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.5292 0.42647 0.764 0.228 0.008
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.4750 0.66498 0.784 0.216 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1643 0.67969 0.956 0.044 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6553 0.61695 0.412 0.580 0.008
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.9364 0.11042 0.372 0.172 0.456
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.6680 -0.42602 0.508 0.484 0.008
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.6553 0.61695 0.412 0.580 0.008
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.5678 0.58847 0.684 0.316 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.1031 0.64002 0.024 0.976 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0424 0.93165 0.000 0.008 0.992
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.6553 0.61695 0.412 0.580 0.008
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.2280 0.68093 0.940 0.052 0.008
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.6680 -0.17401 0.508 0.484 0.008
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2448 0.65270 0.924 0.076 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.4682 0.66350 0.804 0.192 0.004
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.1453 0.68573 0.968 0.024 0.008
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4750 0.66498 0.784 0.216 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.6553 0.61695 0.412 0.580 0.008
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.93783 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.3454 0.62348 0.888 0.104 0.008
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.1643 0.70140 0.956 0.044 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1031 0.69787 0.976 0.024 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.6308 0.03205 0.492 0.508 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.6587 0.60027 0.424 0.568 0.008
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.1453 0.69054 0.968 0.024 0.008
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.1031 0.64002 0.024 0.976 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.5244 0.65017 0.756 0.240 0.004
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0424 0.69226 0.992 0.008 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.4912 0.48650 0.796 0.196 0.008
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.4887 0.66195 0.772 0.228 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.3349 0.62118 0.888 0.108 0.004
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5016 0.65462 0.760 0.240 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.5785 0.61930 0.332 0.668 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.93783 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.1289 0.64058 0.032 0.968 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1289 0.69949 0.968 0.032 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.5529 0.61870 0.704 0.296 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0892 0.64327 0.020 0.980 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.3038 0.82301 0.104 0.000 0.896
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.6565 0.61226 0.416 0.576 0.008
#> 9F93BF19-4B00-4828-AACD-10B455706954 1 0.8977 -0.01887 0.560 0.252 0.188
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.4504 0.67468 0.804 0.196 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.6553 0.61695 0.412 0.580 0.008
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.6309 0.36346 0.504 0.496 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.93783 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0892 0.64327 0.020 0.980 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.6521 -0.29301 0.504 0.492 0.004
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.4931 0.65913 0.768 0.232 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.6345 -0.18333 0.596 0.400 0.004
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4399 0.67805 0.812 0.188 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.1999 0.68063 0.952 0.036 0.012
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0892 0.64327 0.020 0.980 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 1 0.2173 0.67086 0.944 0.048 0.008
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.93783 0.000 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 1 0.9641 -0.19808 0.464 0.240 0.296
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0892 0.64327 0.020 0.980 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.1031 0.69544 0.976 0.024 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.5706 0.58352 0.680 0.320 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1860 0.68267 0.948 0.052 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.1453 0.69054 0.968 0.024 0.008
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.6577 0.60638 0.420 0.572 0.008
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 1 0.5843 0.35915 0.732 0.252 0.016
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.2261 0.66277 0.932 0.068 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 1 0.2063 0.68948 0.948 0.044 0.008
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#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 1 0.1182 0.69012 0.976 0.012 0.012
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.6498 0.61816 0.396 0.596 0.008
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 1 0.6204 0.45866 0.576 0.424 0.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 1 0.4861 0.49919 0.808 0.180 0.012
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 1 0.1636 0.68766 0.964 0.020 0.016
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.6625 0.57866 0.440 0.552 0.008
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.5058 0.65836 0.756 0.244 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0237 0.93414 0.004 0.000 0.996
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.0892 0.64327 0.020 0.980 0.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.6553 -0.22318 0.580 0.412 0.008
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.6553 0.61695 0.412 0.580 0.008
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.1163 0.69454 0.972 0.028 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.93783 0.000 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 1 0.6180 0.46280 0.584 0.416 0.000
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0892 0.64327 0.020 0.980 0.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 1 0.5292 0.47075 0.764 0.228 0.008
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.1753 0.69855 0.952 0.048 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 1 0.5216 0.64186 0.740 0.260 0.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.3038 0.69768 0.896 0.104 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.6345 -0.18333 0.596 0.400 0.004
#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.1015 0.69128 0.980 0.012 0.008
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.0892 0.64327 0.020 0.980 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.5285 0.64722 0.752 0.244 0.004
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.0848 0.68999 0.984 0.008 0.008
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.8487 0.39058 0.584 0.124 0.292
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.6664 0.52414 0.464 0.528 0.008
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.4589 0.59354 0.820 0.172 0.008
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.4887 0.66048 0.772 0.228 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.5363 0.62806 0.724 0.276 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.2550 0.69711 0.932 0.056 0.012
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.4750 0.66498 0.784 0.216 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 1 0.6126 0.48970 0.600 0.400 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.6553 0.61695 0.412 0.580 0.008
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.5244 0.64718 0.756 0.240 0.004
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.93783 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.5285 0.64722 0.752 0.244 0.004
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.5178 0.64287 0.744 0.256 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.5785 0.06256 0.332 0.668 0.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.8255 0.51609 0.196 0.168 0.636
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.6553 0.61695 0.412 0.580 0.008
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 1 0.1620 0.69083 0.964 0.024 0.012
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.6553 0.61695 0.412 0.580 0.008
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 1 0.6587 -0.27167 0.568 0.424 0.008
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.2866 0.65316 0.916 0.076 0.008
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.93783 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.2796 0.64485 0.908 0.092 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6553 0.61695 0.412 0.580 0.008
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.6045 -0.09618 0.380 0.620 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.6553 0.61695 0.412 0.580 0.008
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 1 0.6598 -0.24929 0.564 0.428 0.008
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.6565 0.61226 0.416 0.576 0.008
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.1753 0.63203 0.048 0.952 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 1 0.9354 -0.09703 0.472 0.176 0.352
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.1031 0.64255 0.024 0.976 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.5216 0.64698 0.740 0.260 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 1 0.6669 -0.37554 0.524 0.468 0.008
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0892 0.69667 0.980 0.020 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0892 0.64327 0.020 0.980 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.93783 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.4974 0.66347 0.764 0.236 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0592 0.69576 0.988 0.012 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.6553 0.61695 0.412 0.580 0.008
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.5285 0.64722 0.752 0.244 0.004
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.3129 0.63536 0.904 0.088 0.008
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6553 0.61695 0.412 0.580 0.008
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.1315 0.69068 0.972 0.020 0.008
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.3454 0.62218 0.888 0.104 0.008
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0424 0.69226 0.992 0.008 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.5058 0.65528 0.756 0.244 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.5285 0.64722 0.752 0.244 0.004
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.4912 0.47907 0.796 0.196 0.008
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.93783 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.5465 0.62796 0.712 0.288 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0892 0.68975 0.980 0.020 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0892 0.64327 0.020 0.980 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.4399 0.46450 0.188 0.812 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 1 0.4915 0.63646 0.832 0.036 0.132
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.5404 0.64092 0.740 0.256 0.004
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.5244 0.64718 0.756 0.240 0.004
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.5122 0.47041 0.788 0.200 0.012
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.6553 0.61695 0.412 0.580 0.008
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.5404 0.64092 0.740 0.256 0.004
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 1 0.1453 0.69054 0.968 0.024 0.008
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.6305 -0.33390 0.484 0.516 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6540 0.61645 0.408 0.584 0.008
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.93783 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.5285 0.64722 0.752 0.244 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.5058 0.39221 0.756 0.244 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.93783 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 1 0.6204 0.45866 0.576 0.424 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.5115 0.65792 0.768 0.228 0.004
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.4796 0.45020 0.220 0.780 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.4796 0.66119 0.780 0.220 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.5201 0.65295 0.760 0.236 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.9400 0.00746 0.404 0.172 0.424
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.93783 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 1 0.6309 0.33619 0.500 0.500 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.5115 0.65793 0.768 0.228 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.2711 0.65456 0.912 0.088 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 1 0.5541 0.37172 0.740 0.252 0.008
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.5378 0.40602 0.756 0.236 0.008
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6553 0.61695 0.412 0.580 0.008
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.9400 0.00746 0.404 0.172 0.424
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.4351 0.68692 0.828 0.168 0.004
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.3129 0.67942 0.904 0.088 0.008
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.1453 0.69054 0.968 0.024 0.008
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0892 0.64327 0.020 0.980 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0892 0.64327 0.020 0.980 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.6307 0.37687 0.512 0.488 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.1015 0.68942 0.980 0.012 0.008
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.1482 0.68774 0.968 0.020 0.012
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 1 0.1453 0.69054 0.968 0.024 0.008
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5363 0.61888 0.276 0.724 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.93783 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 1 0.5580 0.34850 0.736 0.256 0.008
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.1015 0.68887 0.980 0.012 0.008
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.6204 0.45866 0.576 0.424 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.93783 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.93783 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0661 0.69322 0.988 0.008 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.5285 0.64722 0.752 0.244 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.93783 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.3340 0.80126 0.120 0.000 0.880
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.6379 -0.08344 0.624 0.368 0.008
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0892 0.64327 0.020 0.980 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.4346 0.68174 0.816 0.184 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.6553 0.61695 0.412 0.580 0.008
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0892 0.64327 0.020 0.980 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.0848 0.69007 0.984 0.008 0.008
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.5285 0.64722 0.752 0.244 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.1529 0.69754 0.960 0.040 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.3686 0.79363 0.000 0.140 0.860
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.1031 0.64061 0.024 0.976 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0892 0.64327 0.020 0.980 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0892 0.69168 0.980 0.020 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.6682 -0.44366 0.504 0.488 0.008
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0892 0.64327 0.020 0.980 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.6565 0.61226 0.416 0.576 0.008
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0892 0.64327 0.020 0.980 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 1 0.6204 0.45866 0.576 0.424 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.6307 0.37751 0.512 0.488 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.93783 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.3412 0.53239 0.124 0.876 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.4861 0.49919 0.808 0.180 0.012
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6291 -0.20283 0.532 0.468 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0892 0.69273 0.980 0.020 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.6553 0.61695 0.412 0.580 0.008
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.5404 0.64092 0.740 0.256 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0892 0.64327 0.020 0.980 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3112 0.69995 0.900 0.096 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.4099 0.56562 0.852 0.140 0.008
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.1453 0.69054 0.968 0.024 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.5594 0.40872 0.020 0.460 0.000 0.520
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4994 0.39814 0.000 0.480 0.000 0.520
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1211 0.64959 0.960 0.000 0.000 0.040
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.4290 0.44537 0.164 0.036 0.000 0.800
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.4967 0.23007 0.000 0.000 0.548 0.452
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.0188 0.64825 0.000 0.004 0.000 0.996
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.7382 0.35976 0.260 0.220 0.000 0.520
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.5070 0.46888 0.580 0.004 0.000 0.416
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0592 0.64073 0.984 0.000 0.000 0.016
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2149 0.82453 0.000 0.000 0.912 0.088
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2973 0.74310 0.000 0.000 0.856 0.144
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.5296 0.37854 0.500 0.008 0.000 0.492
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.5565 0.36648 0.624 0.032 0.000 0.344
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.0937 0.64640 0.012 0.012 0.000 0.976
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#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.4004 0.60016 0.812 0.024 0.000 0.164
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.5000 0.37560 0.504 0.000 0.000 0.496
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.5364 0.48020 0.016 0.392 0.000 0.592
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.6731 0.54027 0.004 0.592 0.108 0.296
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4961 -0.07938 0.552 0.448 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0657 0.63851 0.984 0.004 0.000 0.012
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.5137 -0.28664 0.452 0.004 0.000 0.544
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.0469 0.64906 0.000 0.012 0.000 0.988
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.3810 0.49752 0.804 0.188 0.000 0.008
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5050 0.53435 0.004 0.588 0.000 0.408
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.7133 0.40386 0.148 0.332 0.000 0.520
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.1174 0.64809 0.020 0.012 0.000 0.968
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0469 0.63850 0.988 0.000 0.000 0.012
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.5161 0.21350 0.520 0.004 0.000 0.476
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0524 0.51905 0.008 0.988 0.000 0.004
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0592 0.63863 0.984 0.000 0.000 0.016
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.5638 0.47727 0.028 0.388 0.000 0.584
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.2843 0.64677 0.892 0.020 0.000 0.088
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0592 0.64073 0.984 0.000 0.000 0.016
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.9012 0.33202 0.436 0.080 0.260 0.224
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.5500 -0.33759 0.016 0.520 0.000 0.464
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0707 0.64253 0.980 0.000 0.000 0.020
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5165 0.13334 0.512 0.004 0.000 0.484
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.0779 0.64252 0.016 0.004 0.000 0.980
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.3024 0.51440 0.148 0.000 0.000 0.852
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.0336 0.64884 0.000 0.008 0.000 0.992
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.8113 0.36990 0.488 0.024 0.272 0.216
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.5459 0.42648 0.552 0.016 0.000 0.432
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.5673 0.41447 0.528 0.024 0.000 0.448
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5279 0.53896 0.012 0.588 0.000 0.400
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.6507 0.42325 0.076 0.404 0.000 0.520
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.1151 0.63777 0.024 0.008 0.000 0.968
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4998 0.38602 0.512 0.000 0.000 0.488
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5279 0.53896 0.012 0.588 0.000 0.400
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4516 0.55679 0.012 0.252 0.000 0.736
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.0188 0.64717 0.000 0.004 0.000 0.996
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.5517 0.00514 0.036 0.316 0.000 0.648
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0469 0.51906 0.012 0.988 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4981 0.42652 0.536 0.000 0.000 0.464
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0469 0.63850 0.988 0.000 0.000 0.012
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.3311 0.70333 0.000 0.000 0.828 0.172
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.1297 0.63654 0.016 0.020 0.000 0.964
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.5935 0.48704 0.256 0.664 0.000 0.080
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.0188 0.64825 0.000 0.004 0.000 0.996
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.7356 -0.34135 0.164 0.368 0.000 0.468
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0469 0.63850 0.988 0.000 0.000 0.012
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.6219 0.53730 0.068 0.588 0.000 0.344
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1637 0.85869 0.000 0.000 0.940 0.060
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.5290 0.47713 0.012 0.404 0.000 0.584
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4888 0.48011 0.000 0.412 0.000 0.588
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.7597 -0.35244 0.204 0.356 0.000 0.440
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.0524 0.64803 0.008 0.004 0.000 0.988
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.0000 0.64791 0.000 0.000 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0524 0.51905 0.008 0.988 0.000 0.004
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.7448 0.35549 0.176 0.372 0.000 0.452
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.90828 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.5250 0.44878 0.008 0.440 0.000 0.552
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.6959 -0.32965 0.420 0.028 0.052 0.500
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.5189 0.24596 0.372 0.012 0.000 0.616
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.7492 0.32476 0.180 0.432 0.000 0.388
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.0469 0.64998 0.000 0.012 0.000 0.988
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1474 0.61964 0.948 0.052 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.5310 0.47407 0.012 0.412 0.000 0.576
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3764 0.58874 0.784 0.000 0.000 0.216
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.0188 0.64717 0.000 0.004 0.000 0.996
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.5279 0.53896 0.012 0.588 0.000 0.400
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.6074 0.4569 0.016 0.428 0.000 0.480 0.076
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.6162 0.3933 0.000 0.428 0.000 0.440 0.132
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3577 0.6922 0.808 0.032 0.000 0.000 0.160
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4818 0.4831 0.016 0.732 0.000 0.056 0.196
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5355 0.3536 0.000 0.376 0.576 0.016 0.032
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1041 0.5675 0.000 0.964 0.000 0.032 0.004
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.8209 0.1634 0.152 0.380 0.000 0.180 0.288
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.6605 0.4342 0.184 0.596 0.000 0.044 0.176
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1872 0.7361 0.928 0.020 0.000 0.000 0.052
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.3068 0.8217 0.000 0.072 0.876 0.020 0.032
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2110 0.8363 0.000 0.072 0.912 0.000 0.016
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.6976 0.2538 0.228 0.544 0.000 0.048 0.180
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.7698 0.1117 0.272 0.408 0.000 0.060 0.260
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.4718 0.4161 0.000 0.728 0.000 0.180 0.092
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.4874 0.0479 0.528 0.016 0.000 0.004 0.452
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.8444 -0.0569 0.160 0.316 0.000 0.268 0.256
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.6460 0.4067 0.252 0.596 0.000 0.052 0.100
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.6743 0.3486 0.172 0.600 0.000 0.068 0.160
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.3877 0.5415 0.024 0.212 0.000 0.000 0.764
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.3749 0.5889 0.012 0.828 0.000 0.052 0.108
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3612 0.4586 0.000 0.800 0.000 0.172 0.028
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1818 0.5599 0.000 0.932 0.000 0.044 0.024
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.4595 0.4280 0.000 0.740 0.000 0.172 0.088
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.5547 0.3839 0.008 0.028 0.596 0.348 0.020
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3650 0.6843 0.796 0.028 0.000 0.000 0.176
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.4626 0.5662 0.064 0.784 0.000 0.044 0.108
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5793 0.3672 0.536 0.100 0.000 0.000 0.364
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.6575 0.4383 0.208 0.588 0.000 0.036 0.168
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.3359 0.5611 0.004 0.848 0.000 0.052 0.096
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.9285 -0.1738 0.144 0.184 0.328 0.068 0.276
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3697 0.5249 0.000 0.820 0.000 0.080 0.100
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4255 0.4793 0.000 0.776 0.000 0.128 0.096
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.3741 0.4960 0.084 0.032 0.000 0.044 0.840
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4410 0.5551 0.004 0.440 0.000 0.556 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0451 0.8966 0.000 0.004 0.988 0.008 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.5095 0.0731 0.000 0.560 0.000 0.400 0.040
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.5884 0.4295 0.040 0.596 0.000 0.048 0.316
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6454 0.3207 0.044 0.540 0.000 0.080 0.336
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.7444 0.3175 0.136 0.468 0.000 0.084 0.312
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.7593 0.1030 0.320 0.428 0.000 0.068 0.184
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.6438 0.4066 0.236 0.596 0.000 0.036 0.132
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4119 0.6571 0.752 0.036 0.000 0.000 0.212
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.3012 0.5065 0.000 0.852 0.000 0.124 0.024
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.5569 0.5642 0.104 0.708 0.000 0.044 0.144
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.7177 0.1287 0.312 0.444 0.000 0.028 0.216
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 2 0.7572 -0.0974 0.332 0.348 0.000 0.040 0.280
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.7271 0.2966 0.152 0.480 0.000 0.060 0.308
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.2102 0.5878 0.004 0.916 0.000 0.012 0.068
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.4046 0.5019 0.000 0.296 0.000 0.008 0.696
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.4651 0.5679 0.008 0.428 0.000 0.560 0.004
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1168 0.7329 0.960 0.008 0.000 0.000 0.032
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5617 0.3989 0.620 0.256 0.000 0.000 0.124
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.2460 0.5901 0.004 0.900 0.000 0.024 0.072
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.7486 0.1688 0.372 0.328 0.000 0.036 0.264
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.5066 0.5779 0.072 0.748 0.000 0.044 0.136
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.4597 0.2719 0.300 0.024 0.000 0.004 0.672
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.4799 0.3391 0.004 0.708 0.000 0.228 0.060
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.6014 -0.4056 0.028 0.472 0.000 0.448 0.052
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.4693 0.6314 0.724 0.080 0.000 0.000 0.196
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.8066 0.1341 0.196 0.364 0.000 0.112 0.328
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.3305 0.7156 0.000 0.224 0.000 0.776 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.1341 0.8618 0.000 0.056 0.944 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.3569 0.5108 0.000 0.828 0.000 0.104 0.068
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.4837 0.5215 0.000 0.740 0.180 0.020 0.060
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.3060 0.7135 0.848 0.024 0.000 0.000 0.128
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#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 5 0.4150 0.4337 0.000 0.388 0.000 0.000 0.612
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4764 0.3718 0.008 0.716 0.000 0.224 0.052
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.3631 0.5392 0.000 0.824 0.000 0.072 0.104
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.4562 0.3733 0.000 0.676 0.000 0.032 0.292
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 5 0.4182 0.2632 0.000 0.000 0.000 0.400 0.600
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.6965 0.2130 0.276 0.508 0.000 0.032 0.184
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0451 0.7267 0.988 0.008 0.000 0.000 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.2006 0.8438 0.000 0.072 0.916 0.000 0.012
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4441 0.5106 0.008 0.776 0.000 0.096 0.120
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.2464 0.4767 0.096 0.016 0.000 0.000 0.888
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.3248 0.5652 0.004 0.852 0.000 0.040 0.104
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.5849 0.0792 0.032 0.460 0.000 0.036 0.472
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0451 0.7267 0.988 0.008 0.000 0.000 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.3995 0.5387 0.044 0.180 0.000 0.000 0.776
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.5006 0.6379 0.004 0.168 0.740 0.068 0.020
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.3881 0.7119 0.008 0.180 0.000 0.788 0.024
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4300 0.5023 0.000 0.476 0.000 0.524 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.5668 0.4157 0.084 0.332 0.000 0.004 0.580
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3590 0.5238 0.000 0.828 0.000 0.092 0.080
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.2331 0.5352 0.000 0.900 0.000 0.080 0.020
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4278 0.5322 0.000 0.452 0.000 0.548 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 5 0.4808 0.2625 0.000 0.024 0.000 0.400 0.576
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.6844 -0.2530 0.112 0.424 0.000 0.424 0.040
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9022 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4992 0.5010 0.008 0.460 0.000 0.516 0.016
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.7697 0.2769 0.140 0.556 0.044 0.068 0.192
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6812 0.3930 0.172 0.564 0.000 0.044 0.220
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.4983 0.4661 0.060 0.256 0.000 0.004 0.680
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3432 0.5083 0.000 0.828 0.000 0.132 0.040
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4482 0.2936 0.636 0.016 0.000 0.000 0.348
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.2773 0.7258 0.000 0.164 0.000 0.836 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4496 0.5885 0.752 0.156 0.000 0.000 0.092
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3134 0.5675 0.000 0.848 0.000 0.032 0.120
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.3966 0.4461 0.000 0.336 0.000 0.000 0.664
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 6 0.5225 -0.32680 0.000 0.012 0.000 0.408 0.064 0.516
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.7578 0.18949 0.000 0.140 0.044 0.404 0.088 0.324
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4609 0.54368 0.608 0.024 0.000 0.000 0.352 0.016
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4781 0.53964 0.052 0.724 0.000 0.000 0.064 0.160
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.4260 0.07709 0.000 0.472 0.512 0.000 0.000 0.016
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.3847 0.09757 0.000 0.456 0.000 0.000 0.000 0.544
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0146 0.92819 0.000 0.000 0.996 0.000 0.004 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.7131 0.30843 0.076 0.116 0.000 0.060 0.536 0.212
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.7826 0.25400 0.084 0.272 0.000 0.052 0.396 0.196
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3052 0.68251 0.780 0.004 0.000 0.000 0.216 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2219 0.83416 0.000 0.136 0.864 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.1413 0.90228 0.004 0.036 0.948 0.000 0.004 0.008
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4882 0.54541 0.100 0.736 0.000 0.004 0.104 0.056
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.7794 0.28147 0.124 0.128 0.000 0.072 0.464 0.212
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.3492 0.45859 0.000 0.076 0.000 0.120 0.000 0.804
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.3953 0.12240 0.328 0.016 0.000 0.000 0.656 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.8172 -0.00206 0.068 0.104 0.000 0.272 0.352 0.204
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3337 0.64413 0.000 0.000 0.000 0.736 0.004 0.260
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.6049 0.48243 0.108 0.660 0.000 0.032 0.088 0.112
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5112 0.55130 0.080 0.716 0.000 0.004 0.072 0.128
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0146 0.92819 0.000 0.000 0.996 0.000 0.004 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.5002 0.41222 0.004 0.072 0.000 0.172 0.708 0.044
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.3521 0.45364 0.004 0.724 0.000 0.004 0.000 0.268
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.4561 0.15192 0.000 0.428 0.000 0.036 0.000 0.536
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3997 0.01541 0.000 0.508 0.000 0.004 0.000 0.488
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.1682 0.48631 0.000 0.020 0.000 0.052 0.000 0.928
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.5265 0.39998 0.036 0.052 0.600 0.312 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.4726 0.54613 0.600 0.036 0.000 0.000 0.352 0.012
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.3855 0.46573 0.012 0.728 0.000 0.004 0.008 0.248
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.5696 -0.12736 0.368 0.028 0.000 0.028 0.540 0.036
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.7178 0.28097 0.088 0.424 0.000 0.008 0.180 0.300
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 6 0.3470 0.40926 0.000 0.248 0.000 0.012 0.000 0.740
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.6801 0.04585 0.088 0.416 0.376 0.000 0.116 0.004
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.1806 0.50035 0.000 0.088 0.000 0.004 0.000 0.908
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.1584 0.50927 0.000 0.064 0.000 0.008 0.000 0.928
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.4036 0.40618 0.012 0.004 0.000 0.192 0.756 0.036
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 6 0.4242 -0.32272 0.000 0.016 0.000 0.448 0.000 0.536
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0146 0.92667 0.000 0.004 0.996 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.5569 0.22465 0.000 0.160 0.000 0.320 0.000 0.520
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 6 0.4044 0.29791 0.000 0.012 0.000 0.008 0.312 0.668
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 6 0.4490 0.17886 0.000 0.024 0.000 0.008 0.372 0.596
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.6352 0.34245 0.000 0.140 0.000 0.068 0.540 0.252
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.4807 0.50981 0.180 0.708 0.000 0.000 0.084 0.028
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.6364 0.46562 0.092 0.568 0.000 0.004 0.108 0.228
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4113 0.60982 0.668 0.016 0.000 0.000 0.308 0.008
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 6 0.4205 0.19233 0.000 0.420 0.000 0.016 0.000 0.564
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.6886 -0.04154 0.024 0.368 0.000 0.044 0.140 0.424
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.7635 0.10981 0.144 0.396 0.000 0.044 0.324 0.092
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.7967 0.14583 0.216 0.188 0.000 0.044 0.408 0.144
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.6406 0.32395 0.004 0.176 0.000 0.064 0.560 0.196
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.3930 0.21696 0.000 0.576 0.000 0.004 0.000 0.420
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 6 0.6215 -0.23679 0.000 0.016 0.000 0.188 0.392 0.404
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.4434 0.44394 0.004 0.012 0.000 0.520 0.004 0.460
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.2362 0.69971 0.860 0.004 0.000 0.000 0.136 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.6452 0.29498 0.440 0.256 0.000 0.000 0.280 0.024
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4229 0.24796 0.000 0.548 0.000 0.000 0.016 0.436
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.7855 0.09412 0.260 0.136 0.000 0.048 0.416 0.140
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.6329 0.06923 0.000 0.364 0.000 0.048 0.128 0.460
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.2747 0.38286 0.108 0.028 0.000 0.000 0.860 0.004
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 6 0.4150 0.13321 0.000 0.392 0.000 0.016 0.000 0.592
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 6 0.7309 -0.19590 0.052 0.116 0.000 0.340 0.064 0.428
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.4917 0.57238 0.632 0.036 0.000 0.000 0.300 0.032
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.6359 0.32811 0.012 0.120 0.000 0.068 0.580 0.220
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.3446 0.62154 0.000 0.000 0.000 0.692 0.000 0.308
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.1003 0.91167 0.000 0.028 0.964 0.000 0.004 0.004
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.2020 0.50258 0.000 0.096 0.000 0.008 0.000 0.896
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.5907 0.36961 0.000 0.496 0.284 0.004 0.000 0.216
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.4016 0.62311 0.684 0.020 0.000 0.000 0.292 0.004
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.2669 0.48385 0.000 0.156 0.000 0.008 0.000 0.836
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.7594 0.16322 0.016 0.120 0.000 0.404 0.252 0.208
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 6 0.6320 0.02666 0.000 0.160 0.000 0.032 0.368 0.440
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.3641 0.25485 0.224 0.028 0.000 0.000 0.748 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 6 0.6915 -0.12984 0.000 0.244 0.000 0.056 0.328 0.372
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.5724 0.37259 0.492 0.060 0.000 0.012 0.412 0.024
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.4546 0.55008 0.096 0.764 0.000 0.004 0.084 0.052
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.3531 0.61266 0.000 0.000 0.000 0.672 0.000 0.328
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.5585 0.18280 0.000 0.444 0.000 0.008 0.108 0.440
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.1714 0.86910 0.000 0.092 0.908 0.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.5410 0.45752 0.000 0.616 0.224 0.000 0.012 0.148
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.3371 0.44171 0.020 0.036 0.000 0.000 0.828 0.116
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.4352 0.36664 0.076 0.000 0.000 0.188 0.728 0.008
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.6973 0.31984 0.016 0.196 0.000 0.064 0.492 0.232
#> 5A6AF013-C47E-41BE-9102-07E49330D451 5 0.6139 0.22428 0.000 0.012 0.000 0.188 0.412 0.388
#> 814B2873-3E3E-419E-BA53-F65E322D9338 6 0.3323 0.39224 0.000 0.240 0.000 0.008 0.000 0.752
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.4358 0.47383 0.000 0.716 0.100 0.000 0.000 0.184
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 6 0.6073 0.15259 0.000 0.128 0.000 0.048 0.268 0.556
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.6985 0.41145 0.000 0.476 0.180 0.000 0.120 0.224
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0146 0.92819 0.000 0.000 0.996 0.000 0.004 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.7832 0.14338 0.032 0.120 0.000 0.392 0.252 0.204
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 6 0.3996 0.05227 0.000 0.484 0.000 0.004 0.000 0.512
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 5 0.8096 0.09822 0.256 0.192 0.000 0.048 0.368 0.136
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.92808 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.3782 0.05303 0.000 0.000 0.000 0.588 0.412 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.4933 0.34741 0.000 0.064 0.000 0.504 0.000 0.432
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#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.1138 0.50110 0.000 0.024 0.000 0.012 0.004 0.960
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.3277 0.40279 0.004 0.000 0.000 0.188 0.792 0.016
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.3360 0.38895 0.000 0.264 0.000 0.004 0.000 0.732
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.6796 -0.17331 0.044 0.308 0.000 0.000 0.260 0.388
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0146 0.68677 0.996 0.000 0.000 0.000 0.004 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.5070 0.40025 0.020 0.060 0.000 0.188 0.704 0.028
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.3649 0.71125 0.000 0.196 0.764 0.000 0.000 0.040
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.3772 0.61273 0.004 0.000 0.000 0.672 0.004 0.320
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 6 0.5498 -0.13788 0.000 0.128 0.000 0.408 0.000 0.464
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.6478 0.13248 0.024 0.452 0.000 0.044 0.396 0.084
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.1757 0.50737 0.000 0.076 0.000 0.008 0.000 0.916
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.3782 0.25051 0.000 0.360 0.000 0.004 0.000 0.636
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 6 0.4808 -0.29607 0.000 0.052 0.000 0.468 0.000 0.480
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4875 0.13459 0.000 0.004 0.000 0.544 0.400 0.052
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.7413 0.22844 0.012 0.112 0.000 0.432 0.208 0.236
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0146 0.92819 0.000 0.000 0.996 0.000 0.004 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 6 0.4336 -0.30206 0.000 0.008 0.000 0.408 0.012 0.572
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.4407 0.54800 0.076 0.784 0.016 0.000 0.084 0.040
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.6872 0.18516 0.012 0.380 0.000 0.044 0.388 0.176
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3268 0.45182 0.000 0.044 0.000 0.000 0.812 0.144
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.4010 0.18752 0.000 0.408 0.000 0.008 0.000 0.584
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4168 0.30766 0.584 0.016 0.000 0.000 0.400 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.3198 0.64602 0.000 0.000 0.000 0.740 0.000 0.260
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5105 0.60531 0.652 0.080 0.000 0.000 0.244 0.024
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4594 0.11116 0.000 0.484 0.000 0.000 0.036 0.480
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.6831 0.21675 0.000 0.064 0.000 0.188 0.400 0.348
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 17033 rows and 424 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 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 0.682 0.829 0.929 0.4877 0.499 0.499
#> 3 3 0.782 0.848 0.931 0.3569 0.678 0.443
#> 4 4 0.675 0.625 0.832 0.1239 0.817 0.526
#> 5 5 0.689 0.633 0.801 0.0670 0.874 0.568
#> 6 6 0.780 0.717 0.853 0.0396 0.867 0.477
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.9977 0.0248 0.472 0.528
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9351 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9007 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9351 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9351 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.9351 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9351 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9007 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9007 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9007 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9351 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9351 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9351 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0376 0.8988 0.996 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9007 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.6343 0.7756 0.160 0.840
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9007 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9007 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.6973 0.7371 0.188 0.812
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.6623 0.7594 0.172 0.828
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1633 0.8881 0.976 0.024
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9351 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9007 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9351 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.9007 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9351 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9351 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9351 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9351 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.9522 0.3707 0.372 0.628
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9351 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9007 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9351 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.0000 0.9351 0.000 1.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9007 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9007 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.7453 0.7330 0.788 0.212
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.9351 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9351 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.9248 0.4522 0.340 0.660
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.9710 0.4104 0.600 0.400
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9351 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9351 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.4431 0.8544 0.092 0.908
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.6148 0.7946 0.848 0.152
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.9686 0.4199 0.604 0.396
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9007 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.7139 0.7496 0.804 0.196
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.6048 0.7982 0.852 0.148
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9007 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.9351 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.9351 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.9007 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.9007 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9007 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9007 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.2043 0.9099 0.032 0.968
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.9933 0.2605 0.548 0.452
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9351 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9007 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9007 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0376 0.9322 0.004 0.996
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9007 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.2236 0.8811 0.964 0.036
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9007 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9351 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.9351 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.7745 0.7132 0.772 0.228
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9007 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9007 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.9351 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.9351 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.9351 0.000 1.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.9351 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9007 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.9351 0.000 1.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.9007 1.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.9351 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.9351 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0376 0.8988 0.996 0.004
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9007 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0938 0.8947 0.988 0.012
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9007 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.9833 0.3463 0.576 0.424
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9351 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.9351 0.000 1.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.9351 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.9351 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9351 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.9007 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.0000 0.9007 1.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9007 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.9710 0.4104 0.600 0.400
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.9351 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.9351 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.9007 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.9351 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.9351 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.9007 1.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.9351 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9007 1.000 0.000
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#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.5059 0.8281 0.888 0.112
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.8861 0.6020 0.696 0.304
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.9007 1.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.6712 0.7719 0.824 0.176
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.0000 0.9351 0.000 1.000
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.9351 0.000 1.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.7219 0.7467 0.800 0.200
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.9007 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.9007 1.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 2 0.9635 0.3248 0.388 0.612
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.9007 1.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 1 0.8081 0.6867 0.752 0.248
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.7815 0.6687 0.232 0.768
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.9007 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.9351 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.9007 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.9007 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0000 0.9351 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.9351 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.9351 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0000 0.9351 0.000 1.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.7745 0.6753 0.228 0.772
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.9754 0.2650 0.408 0.592
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.7528 0.7281 0.784 0.216
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.9351 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.9007 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.9993 0.1488 0.516 0.484
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.9351 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.9209 0.5456 0.664 0.336
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.9351 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.9351 0.000 1.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.5842 0.8052 0.860 0.140
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.9351 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9351 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.0000 0.9007 1.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.9351 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9007 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.9351 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.9351 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.2423 0.8787 0.960 0.040
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.9007 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0000 0.9351 0.000 1.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9007 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.9732 0.2775 0.404 0.596
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.9209 0.5458 0.664 0.336
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.6048 0.7983 0.852 0.148
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.6973 0.7598 0.812 0.188
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.9007 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.9007 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9007 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.9007 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9351 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9007 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.9007 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9351 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.9522 0.4737 0.628 0.372
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.9351 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9007 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9007 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.9351 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.9351 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9007 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.9351 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9007 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.6712 0.7718 0.824 0.176
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.9351 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9007 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9007 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9351 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9351 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9007 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.7219 0.7467 0.800 0.200
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9007 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9007 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.9351 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9351 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9351 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9007 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9007 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.9351 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.9351 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.9866 0.1828 0.432 0.568
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.9351 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.9007 1.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.7528 0.7304 0.784 0.216
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.8955 0.5164 0.312 0.688
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.9710 0.4104 0.600 0.400
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.9661 0.3141 0.392 0.608
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.9710 0.4104 0.600 0.400
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.9993 0.1489 0.516 0.484
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.0376 0.9322 0.004 0.996
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0376 0.9322 0.004 0.996
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9351 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9351 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9351 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9351 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.6887 0.7637 0.816 0.184
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9351 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9351 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9007 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9007 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9351 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9351 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.9944 0.2471 0.544 0.456
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.7056 0.7312 0.192 0.808
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.9007 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.9635 0.4390 0.612 0.388
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9351 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9909 0.2860 0.556 0.444
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9007 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.9007 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9351 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.7219 0.7467 0.800 0.200
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.9993 -0.0242 0.484 0.516
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.3879 0.8550 0.924 0.076
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.9710 0.4104 0.600 0.400
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.6148 0.7858 0.152 0.848
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9351 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.9815 0.2253 0.420 0.580
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9351 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.9007 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9351 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4939 0.8374 0.108 0.892
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.9351 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9007 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.9007 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.4022 0.8664 0.080 0.920
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9007 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.9998 -0.0616 0.492 0.508
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9007 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9351 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.9608 0.4474 0.616 0.384
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0237 0.9181 0.000 0.996 0.004
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.3686 0.8097 0.000 0.140 0.860
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9270 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.9389 0.000 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9389 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.1163 0.9198 0.000 0.028 0.972
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9389 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.0000 0.9177 0.000 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0592 0.9265 0.988 0.012 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9270 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9389 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9389 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0892 0.9148 0.000 0.980 0.020
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1411 0.9038 0.964 0.000 0.036
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1411 0.9190 0.964 0.036 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3340 0.8468 0.000 0.880 0.120
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9270 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.0000 0.9177 0.000 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0424 0.9178 0.000 0.992 0.008
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0237 0.9181 0.000 0.996 0.004
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4346 0.7358 0.816 0.000 0.184
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9389 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0424 0.9236 0.992 0.000 0.008
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9389 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5291 0.6359 0.732 0.268 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.0237 0.9362 0.004 0.000 0.996
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.0747 0.9285 0.000 0.016 0.984
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0000 0.9389 0.000 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9389 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0237 0.9181 0.000 0.996 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9389 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0237 0.9271 0.996 0.004 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.1529 0.9058 0.000 0.960 0.040
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.1031 0.9222 0.024 0.000 0.976
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0892 0.9249 0.980 0.020 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9270 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.7157 0.5655 0.276 0.668 0.056
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1031 0.9214 0.024 0.000 0.976
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4346 0.7837 0.000 0.816 0.184
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3816 0.8174 0.000 0.852 0.148
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9177 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0747 0.9161 0.000 0.984 0.016
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9389 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0892 0.9156 0.000 0.980 0.020
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.0237 0.9165 0.004 0.996 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0000 0.9177 0.000 1.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.4452 0.7469 0.192 0.808 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.6274 0.1920 0.456 0.000 0.544
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3752 0.7898 0.856 0.000 0.144
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9270 1.000 0.000 0.000
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#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9270 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0892 0.9245 0.980 0.020 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9389 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.9177 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.9177 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.4796 0.6822 0.780 0.000 0.220
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.9177 0.000 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0424 0.9178 0.000 0.992 0.008
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5810 0.5465 0.000 0.664 0.336
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0237 0.9181 0.000 0.996 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.1289 0.9100 0.000 0.968 0.032
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.0424 0.9145 0.008 0.992 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9389 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0424 0.9178 0.000 0.992 0.008
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.9389 0.000 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.5678 0.5816 0.684 0.316 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2537 0.8878 0.920 0.080 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3879 0.8174 0.000 0.848 0.152
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9270 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0000 0.9177 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9270 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4178 0.7597 0.000 0.172 0.828
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.9379 0.2334 0.180 0.472 0.348
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.2081 0.76074 0.000 0.084 0.000 0.916
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4855 0.29444 0.000 0.000 0.400 0.600
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.7332 0.13066 0.000 0.160 0.468 0.372
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.4948 -0.17113 0.000 0.440 0.000 0.560
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0524 0.85096 0.988 0.004 0.000 0.008
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0336 0.81666 0.000 0.000 0.008 0.992
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0469 0.84801 0.988 0.000 0.012 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0895 0.84646 0.976 0.004 0.000 0.020
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.5172 0.45812 0.000 0.588 0.008 0.404
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0469 0.84870 0.988 0.012 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.4989 0.12925 0.000 0.472 0.000 0.528
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0188 0.81418 0.000 0.004 0.000 0.996
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.3024 0.73999 0.852 0.000 0.148 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0779 0.84715 0.980 0.016 0.004 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.5203 0.06063 0.416 0.576 0.000 0.008
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.0592 0.86452 0.000 0.016 0.984 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.7012 0.19648 0.000 0.124 0.504 0.372
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.3616 0.75743 0.000 0.112 0.852 0.036
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.4817 0.47213 0.000 0.612 0.000 0.388
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0336 0.85155 0.992 0.008 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0336 0.81666 0.000 0.000 0.008 0.992
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.2342 0.81128 0.080 0.008 0.912 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1767 0.83154 0.944 0.044 0.000 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0817 0.84561 0.976 0.024 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0469 0.86638 0.012 0.000 0.988 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4352 0.59184 0.000 0.816 0.080 0.104
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1022 0.61011 0.000 0.968 0.000 0.032
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0895 0.81067 0.000 0.020 0.004 0.976
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.5229 -0.11889 0.000 0.428 0.008 0.564
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4624 0.51147 0.000 0.660 0.000 0.340
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.2868 0.60481 0.000 0.864 0.000 0.136
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3266 0.72002 0.832 0.000 0.168 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5118 0.65318 0.752 0.176 0.072 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.6314 0.28720 0.000 0.068 0.560 0.372
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.5295 -0.08606 0.488 0.504 0.000 0.008
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.2002 0.82879 0.936 0.044 0.000 0.020
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.7464 0.39140 0.296 0.496 0.000 0.208
#> 97A2A7FD-9C45-4375-991E-28542A859888 3 0.9018 0.11483 0.088 0.192 0.436 0.284
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.61778 0.000 1.000 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0336 0.81666 0.000 0.000 0.008 0.992
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.0336 0.86971 0.000 0.008 0.992 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1411 0.84087 0.960 0.020 0.000 0.020
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.5428 0.21657 0.380 0.600 0.000 0.020
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.4072 0.63417 0.748 0.252 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.2593 0.75465 0.000 0.104 0.004 0.892
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.4776 0.48660 0.000 0.624 0.000 0.376
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0336 0.81666 0.000 0.000 0.008 0.992
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.5773 0.48290 0.000 0.620 0.044 0.336
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0336 0.85134 0.992 0.000 0.000 0.008
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.7354 0.30012 0.000 0.452 0.160 0.388
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0188 0.81689 0.000 0.000 0.004 0.996
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.4916 0.43623 0.000 0.576 0.000 0.424
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0707 0.84817 0.980 0.020 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.4522 0.51333 0.680 0.000 0.320 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0657 0.81472 0.000 0.012 0.004 0.984
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.4454 0.59595 0.000 0.308 0.692 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0592 0.81371 0.000 0.000 0.016 0.984
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.3400 0.52194 0.180 0.820 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3161 0.55160 0.124 0.864 0.000 0.012
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 2 0.5564 0.08125 0.436 0.544 0.000 0.020
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0336 0.61692 0.000 0.992 0.000 0.008
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.5592 0.41766 0.000 0.572 0.024 0.404
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.5229 0.55192 0.168 0.748 0.000 0.084
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.4916 0.10738 0.424 0.000 0.000 0.576
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.4661 0.58160 0.000 0.016 0.728 0.256
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0592 0.84884 0.984 0.000 0.000 0.016
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.5982 0.23302 0.040 0.436 0.000 0.524
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0707 0.81153 0.000 0.000 0.020 0.980
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.1302 0.84612 0.000 0.044 0.956 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0592 0.81278 0.000 0.016 0.000 0.984
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.5363 0.63652 0.000 0.216 0.720 0.064
#> E45A1A52-4285-492D-A868-EB18DE119DF3 3 0.5771 0.27727 0.000 0.460 0.512 0.028
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.3907 0.66326 0.768 0.232 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.3486 0.73520 0.000 0.188 0.812 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.0707 0.81153 0.000 0.000 0.020 0.980
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.1042 0.84592 0.972 0.020 0.000 0.008
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.4977 0.24047 0.540 0.460 0.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 4 0.2149 0.73674 0.088 0.000 0.000 0.912
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.1557 0.78621 0.000 0.056 0.000 0.944
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.4999 -0.14788 0.000 0.508 0.000 0.492
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.1389 0.79251 0.000 0.000 0.048 0.952
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.0469 0.81553 0.000 0.000 0.012 0.988
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0592 0.61547 0.000 0.984 0.000 0.016
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.4431 0.33111 0.304 0.696 0.000 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 3 0.7304 0.05854 0.400 0.152 0.448 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.4697 0.44093 0.644 0.356 0.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 3 0.7220 0.28824 0.000 0.176 0.532 0.292
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 3 0.9594 -0.00647 0.236 0.240 0.380 0.144
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 3 0.5691 0.24774 0.000 0.468 0.508 0.024
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.0524 0.61710 0.004 0.988 0.000 0.008
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.7015 0.25335 0.000 0.568 0.264 0.168
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#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0927 0.84736 0.976 0.016 0.000 0.008
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 4 0.4790 0.35497 0.000 0.000 0.380 0.620
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.7149 0.20133 0.000 0.156 0.316 0.528
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.2216 0.81029 0.000 0.092 0.908 0.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.4761 0.47943 0.000 0.628 0.000 0.372
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.2814 0.60261 0.000 0.868 0.000 0.132
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.6568 0.20783 0.524 0.040 0.416 0.020
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.5497 0.18625 0.524 0.460 0.000 0.016
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.4948 0.40841 0.000 0.560 0.000 0.440
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.4855 0.29444 0.000 0.000 0.400 0.600
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.1389 0.84242 0.000 0.048 0.952 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.6574 0.40342 0.000 0.532 0.084 0.384
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.1389 0.77553 0.000 0.048 0.000 0.952
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.1118 0.80599 0.000 0.036 0.000 0.964
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0469 0.61627 0.000 0.988 0.000 0.012
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.1637 0.83263 0.000 0.060 0.940 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0469 0.85100 0.988 0.012 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0469 0.81553 0.000 0.000 0.012 0.988
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0592 0.61547 0.000 0.984 0.000 0.016
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 2 0.5607 -0.07073 0.488 0.492 0.000 0.020
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 3 0.7240 0.08583 0.000 0.144 0.456 0.400
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.4053 0.64101 0.228 0.004 0.768 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6499 0.39894 0.000 0.524 0.076 0.400
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.3421 0.57494 0.044 0.868 0.088 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1396 0.61449 0.032 0.960 0.004 0.004
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.4961 0.22414 0.552 0.448 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.2647 0.55850 0.120 0.880 0.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.5543 0.26131 0.556 0.424 0.000 0.020
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.1297 0.84321 0.964 0.016 0.000 0.020
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.1022 0.83742 0.968 0.000 0.032 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0336 0.81666 0.000 0.000 0.008 0.992
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.0524 0.81502 0.004 0.008 0.000 0.988
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.7175 0.30286 0.000 0.460 0.136 0.404
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.4866 0.42260 0.000 0.404 0.596 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.0188 0.81423 0.000 0.004 0.000 0.996
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.4855 0.46640 0.000 0.600 0.000 0.400
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.4840 0.62227 0.732 0.240 0.000 0.028
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.4843 0.34553 0.000 0.396 0.000 0.604
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0336 0.85134 0.992 0.000 0.000 0.008
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0817 0.80039 0.024 0.000 0.000 0.976
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.5127 0.43269 0.632 0.356 0.000 0.012
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0469 0.86638 0.012 0.000 0.988 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.1557 0.78604 0.000 0.056 0.000 0.944
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 2 0.5756 0.23521 0.372 0.592 0.000 0.036
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.1792 0.82539 0.000 0.068 0.932 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.7546 0.25030 0.000 0.412 0.188 0.400
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0469 0.86638 0.012 0.000 0.988 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.2589 0.76939 0.884 0.000 0.116 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.3528 0.69443 0.808 0.000 0.192 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5378 -0.08301 0.000 0.540 0.448 0.012
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.1022 0.80376 0.000 0.032 0.000 0.968
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1936 0.60337 0.000 0.940 0.032 0.028
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4331 0.56952 0.712 0.000 0.288 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5132 -0.07274 0.000 0.548 0.448 0.004
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.1356 0.79358 0.000 0.032 0.008 0.960
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.3356 0.52340 0.000 0.824 0.176 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.4925 0.38004 0.000 0.428 0.572 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.4877 0.32697 0.000 0.408 0.000 0.592
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1211 0.61908 0.000 0.960 0.000 0.040
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0672 0.61714 0.008 0.984 0.000 0.008
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.8070 0.31377 0.048 0.440 0.112 0.400
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0188 0.81689 0.000 0.000 0.004 0.996
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.7771 0.09856 0.292 0.276 0.432 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4967 -0.02417 0.452 0.548 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.7868 -0.06598 0.352 0.372 0.276 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.2921 0.60062 0.000 0.860 0.000 0.140
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.7375 0.16992 0.000 0.172 0.480 0.348
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0188 0.81689 0.000 0.000 0.004 0.996
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4776 0.37601 0.000 0.376 0.000 0.624
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.5012 0.60199 0.116 0.112 0.000 0.772
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.2281 0.74919 0.000 0.096 0.000 0.904
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.87352 0.000 0.000 1.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6709 0.00123 0.456 0.456 0.000 0.088
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0188 0.61880 0.004 0.996 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.6554 -0.11923 0.000 0.400 0.080 0.520
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.81625 0.000 0.000 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.85297 1.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.0707 0.86293 0.000 0.020 0.980 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1151 0.61463 0.008 0.968 0.024 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0162 0.94280 0.000 0.004 0.000 0.996 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0404 0.93705 0.000 0.000 0.012 0.988 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2462 0.77687 0.880 0.112 0.000 0.000 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.1341 0.81969 0.000 0.056 0.944 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.6628 0.25521 0.000 0.188 0.376 0.004 0.432
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.6054 0.13270 0.000 0.148 0.000 0.304 0.548
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4701 0.64832 0.704 0.236 0.000 0.000 0.060
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0290 0.81298 0.992 0.000 0.000 0.000 0.008
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1197 0.79906 0.952 0.000 0.048 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.5352 0.36827 0.524 0.044 0.000 0.004 0.428
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 5 0.3917 0.60465 0.000 0.184 0.024 0.008 0.784
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1671 0.78246 0.924 0.076 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.5976 0.21392 0.000 0.488 0.000 0.400 0.112
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4671 0.69607 0.740 0.000 0.116 0.000 0.144
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0854 0.81044 0.976 0.012 0.004 0.000 0.008
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3561 0.52996 0.260 0.740 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.5305 0.58230 0.016 0.116 0.708 0.000 0.160
#> BFF05691-3DC6-4666-A586-5DA826190D0C 5 0.6662 0.19445 0.000 0.172 0.400 0.008 0.420
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6471 0.07005 0.000 0.172 0.488 0.004 0.336
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.4057 0.58463 0.000 0.252 0.008 0.008 0.732
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0162 0.86183 0.000 0.000 0.996 0.004 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.2074 0.78206 0.896 0.000 0.000 0.000 0.104
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.4790 0.69101 0.128 0.028 0.764 0.000 0.080
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5505 0.25368 0.484 0.064 0.000 0.000 0.452
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.3039 0.72213 0.808 0.000 0.000 0.000 0.192
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.1682 0.54244 0.012 0.044 0.000 0.004 0.940
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0794 0.84564 0.028 0.000 0.972 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 5 0.6581 0.33658 0.000 0.224 0.324 0.000 0.452
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 5 0.3474 0.60435 0.000 0.192 0.008 0.004 0.796
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#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0162 0.81215 0.996 0.004 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.81256 1.000 0.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 5 0.6127 0.50538 0.000 0.200 0.180 0.012 0.608
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0162 0.81262 0.996 0.000 0.000 0.000 0.004
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4047 0.44308 0.000 0.676 0.320 0.000 0.004
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.3390 0.79950 0.000 0.100 0.000 0.840 0.060
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.1484 0.54373 0.000 0.048 0.000 0.008 0.944
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0162 0.81279 0.996 0.000 0.000 0.000 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.4378 0.35488 0.248 0.036 0.000 0.000 0.716
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.1270 0.90511 0.000 0.052 0.000 0.948 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0290 0.81262 0.992 0.000 0.000 0.000 0.008
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.6748 -0.03822 0.284 0.308 0.000 0.000 0.408
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.1851 0.78775 0.912 0.000 0.000 0.000 0.088
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0880 0.84215 0.032 0.000 0.968 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0162 0.94280 0.000 0.004 0.000 0.996 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0162 0.81279 0.996 0.000 0.000 0.000 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.2983 0.50030 0.076 0.056 0.000 0.000 0.868
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.1168 0.83812 0.000 0.032 0.960 0.000 0.008
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.4924 0.53688 0.000 0.272 0.668 0.000 0.060
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.5066 0.57956 0.000 0.212 0.064 0.016 0.708
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.1197 0.82931 0.048 0.000 0.952 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.2516 0.74557 0.860 0.000 0.140 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.3452 0.64586 0.756 0.000 0.244 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.3409 0.55968 0.000 0.816 0.160 0.000 0.024
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0162 0.94318 0.000 0.004 0.000 0.996 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1484 0.57865 0.000 0.944 0.008 0.000 0.048
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.3561 0.62693 0.740 0.000 0.260 0.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.3596 0.54279 0.000 0.776 0.212 0.000 0.012
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4840 0.50934 0.000 0.268 0.000 0.676 0.056
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6792 -0.14881 0.000 0.372 0.288 0.000 0.340
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.6284 0.22087 0.000 0.508 0.320 0.000 0.172
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4192 0.29985 0.000 0.596 0.000 0.404 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3048 0.74348 0.820 0.176 0.000 0.000 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0162 0.81279 0.996 0.000 0.000 0.000 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.4030 0.44540 0.000 0.352 0.000 0.000 0.648
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4712 0.53905 0.048 0.684 0.000 0.000 0.268
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.0833 0.57184 0.004 0.016 0.000 0.004 0.976
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.6605 0.11071 0.072 0.052 0.476 0.000 0.400
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0162 0.81262 0.996 0.000 0.000 0.000 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2561 0.59971 0.144 0.856 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.5509 0.44833 0.064 0.600 0.328 0.000 0.008
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.3752 0.56488 0.000 0.292 0.000 0.000 0.708
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.6776 -0.14759 0.000 0.196 0.416 0.008 0.380
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.1197 0.90881 0.000 0.048 0.000 0.952 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.1430 0.90440 0.000 0.052 0.000 0.944 0.004
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.86530 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0162 0.94280 0.000 0.004 0.000 0.996 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0290 0.86005 0.008 0.000 0.992 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.4434 0.52699 0.008 0.348 0.000 0.004 0.640
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.4182 -0.03439 0.000 0.400 0.000 0.000 0.600
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.5174 0.41671 0.000 0.020 0.076 0.192 0.712
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.81256 1.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.94506 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0609 0.80975 0.980 0.020 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.2583 0.73425 0.000 0.132 0.864 0.004 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3876 0.52819 0.000 0.776 0.032 0.000 0.192
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4953 0.58028 0.644 0.280 0.000 0.000 0.032 0.044
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.5263 0.11511 0.036 0.396 0.536 0.000 0.004 0.028
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0146 0.93002 0.000 0.000 0.996 0.000 0.000 0.004
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.1788 0.82961 0.000 0.004 0.076 0.000 0.004 0.916
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.1500 0.78198 0.000 0.012 0.000 0.052 0.936 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.5116 0.42061 0.304 0.064 0.000 0.000 0.020 0.612
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1261 0.76772 0.952 0.000 0.000 0.000 0.024 0.024
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1321 0.76461 0.952 0.024 0.020 0.000 0.004 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.1410 0.79668 0.044 0.008 0.000 0.004 0.944 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.1777 0.83447 0.000 0.004 0.044 0.000 0.024 0.928
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3717 0.64351 0.776 0.160 0.000 0.000 0.064 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.6150 0.32241 0.000 0.208 0.000 0.248 0.520 0.024
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.4634 0.57470 0.124 0.000 0.188 0.000 0.688 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.2513 0.67707 0.852 0.000 0.000 0.000 0.008 0.140
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3710 0.57744 0.196 0.768 0.000 0.000 0.012 0.024
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.3649 0.77912 0.068 0.000 0.132 0.000 0.004 0.796
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.2070 0.81893 0.000 0.000 0.100 0.000 0.008 0.892
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.2146 0.81179 0.000 0.004 0.116 0.000 0.000 0.880
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.1167 0.83199 0.000 0.020 0.012 0.000 0.008 0.960
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0146 0.92935 0.000 0.000 0.996 0.004 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3828 0.17090 0.560 0.000 0.000 0.000 0.440 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.5860 0.19481 0.500 0.004 0.160 0.000 0.004 0.332
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.1858 0.78513 0.052 0.012 0.000 0.000 0.924 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.2234 0.73462 0.872 0.000 0.000 0.000 0.124 0.004
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.2101 0.76680 0.004 0.004 0.000 0.000 0.892 0.100
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1204 0.87970 0.056 0.000 0.944 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.2199 0.82237 0.000 0.020 0.088 0.000 0.000 0.892
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.1565 0.83461 0.000 0.004 0.028 0.000 0.028 0.940
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4009 0.53131 0.000 0.684 0.000 0.000 0.028 0.288
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.0405 0.82878 0.000 0.000 0.004 0.000 0.008 0.988
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.1297 0.79783 0.000 0.012 0.000 0.000 0.948 0.040
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.1297 0.79783 0.000 0.012 0.000 0.000 0.948 0.040
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.1462 0.79526 0.000 0.008 0.000 0.000 0.936 0.056
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1219 0.76017 0.948 0.000 0.048 0.000 0.004 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.2771 0.74735 0.116 0.000 0.000 0.000 0.032 0.852
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.3050 0.60842 0.764 0.000 0.000 0.000 0.236 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 6 0.3037 0.78027 0.000 0.000 0.160 0.004 0.016 0.820
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.3235 0.69865 0.008 0.136 0.000 0.000 0.032 0.824
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4605 0.50583 0.596 0.364 0.000 0.000 0.032 0.008
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.2263 0.78923 0.060 0.004 0.000 0.000 0.900 0.036
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.1257 0.80067 0.028 0.000 0.000 0.000 0.952 0.020
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.1313 0.83433 0.000 0.004 0.028 0.000 0.016 0.952
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.3578 0.39585 0.000 0.340 0.000 0.000 0.660 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0146 0.96107 0.000 0.000 0.000 0.996 0.004 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0405 0.77221 0.988 0.004 0.000 0.000 0.008 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1007 0.77100 0.956 0.000 0.000 0.000 0.044 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.4846 0.23571 0.000 0.068 0.576 0.000 0.000 0.356
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.6265 0.45294 0.504 0.320 0.000 0.000 0.052 0.124
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.0777 0.82385 0.000 0.004 0.000 0.000 0.024 0.972
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.1845 0.78878 0.028 0.052 0.000 0.000 0.920 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 6 0.4310 0.64591 0.000 0.072 0.004 0.204 0.000 0.720
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0260 0.95777 0.000 0.000 0.000 0.992 0.000 0.008
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.3833 0.14596 0.556 0.000 0.000 0.000 0.444 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.5572 0.20264 0.000 0.396 0.000 0.000 0.464 0.140
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
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#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0363 0.77269 0.988 0.000 0.000 0.000 0.012 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0146 0.96098 0.004 0.000 0.000 0.996 0.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.5959 0.19774 0.032 0.396 0.000 0.000 0.468 0.104
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.2491 0.69272 0.836 0.000 0.000 0.000 0.164 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.1327 0.87153 0.064 0.000 0.936 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0146 0.96162 0.000 0.004 0.000 0.996 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1141 0.76706 0.948 0.000 0.000 0.000 0.052 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.1408 0.79982 0.020 0.000 0.000 0.000 0.944 0.036
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.3756 0.20353 0.000 0.000 0.600 0.000 0.000 0.400
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.4612 0.74723 0.024 0.108 0.120 0.000 0.004 0.744
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.0881 0.83128 0.000 0.012 0.008 0.000 0.008 0.972
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.1327 0.87068 0.064 0.000 0.936 0.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0692 0.77046 0.976 0.000 0.020 0.000 0.004 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.1701 0.74856 0.920 0.000 0.072 0.000 0.008 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4470 0.56777 0.000 0.684 0.052 0.000 0.008 0.256
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0146 0.96107 0.000 0.000 0.000 0.996 0.004 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.3163 0.60053 0.000 0.764 0.000 0.000 0.004 0.232
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.3023 0.63024 0.784 0.000 0.212 0.000 0.004 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5243 0.59351 0.000 0.624 0.208 0.000 0.004 0.164
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5745 -0.09325 0.000 0.168 0.000 0.420 0.000 0.412
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.3278 0.79461 0.000 0.088 0.088 0.000 0.000 0.824
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.4380 0.17846 0.000 0.436 0.012 0.000 0.008 0.544
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4131 0.40085 0.000 0.624 0.000 0.356 0.020 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4466 0.52554 0.612 0.352 0.000 0.000 0.032 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1910 0.73690 0.892 0.000 0.000 0.000 0.108 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.2740 0.79949 0.000 0.060 0.000 0.000 0.076 0.864
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.3862 -0.02156 0.000 0.476 0.000 0.000 0.524 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.3221 0.69895 0.000 0.004 0.000 0.004 0.220 0.772
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.5475 0.50797 0.044 0.024 0.256 0.000 0.640 0.036
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0935 0.76888 0.964 0.000 0.000 0.000 0.032 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0806 0.65755 0.008 0.972 0.000 0.000 0.000 0.020
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 3 0.5075 -0.09956 0.004 0.452 0.480 0.000 0.064 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.0363 0.82707 0.000 0.012 0.000 0.000 0.000 0.988
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.2039 0.82686 0.000 0.020 0.076 0.000 0.000 0.904
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0865 0.93410 0.000 0.036 0.000 0.964 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.2758 0.84268 0.004 0.088 0.000 0.872 0.028 0.008
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.93369 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0146 0.96162 0.000 0.004 0.000 0.996 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.1411 0.87774 0.060 0.000 0.936 0.000 0.004 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.4382 0.48604 0.000 0.264 0.000 0.000 0.060 0.676
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.1958 0.76103 0.000 0.100 0.000 0.000 0.896 0.004
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.6200 0.02164 0.000 0.000 0.040 0.120 0.400 0.440
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1765 0.74687 0.904 0.000 0.000 0.000 0.096 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.96332 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0405 0.77023 0.988 0.008 0.000 0.000 0.004 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4460 0.01499 0.000 0.452 0.520 0.000 0.000 0.028
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4193 0.42765 0.000 0.624 0.000 0.000 0.024 0.352
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.716 0.889 0.944 0.235 0.767 0.767
#> 3 3 0.504 0.756 0.890 0.268 0.994 0.992
#> 4 4 0.361 0.690 0.838 0.250 0.983 0.978
#> 5 5 0.293 0.585 0.786 0.201 0.959 0.945
#> 6 6 0.278 0.484 0.737 0.156 0.926 0.897
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9571 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9571 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.9608 0.5915 0.616 0.384
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2423 0.9330 0.040 0.960
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9571 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0672 0.9545 0.008 0.992
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9571 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.0000 0.9571 0.000 1.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.1184 0.9499 0.016 0.984
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0376 0.7954 0.996 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.5178 0.8541 0.116 0.884
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9571 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9571 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.5519 0.8423 0.128 0.872
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.3431 0.9156 0.064 0.936
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.9571 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.6247 0.7885 0.844 0.156
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.5408 0.8393 0.124 0.876
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9571 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.9571 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.3733 0.9011 0.072 0.928
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9571 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5408 0.8442 0.124 0.876
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9571 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.1414 0.9483 0.020 0.980
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.1184 0.9504 0.016 0.984
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9571 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9571 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.3879 0.9002 0.076 0.924
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.9571 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9571 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.2778 0.7995 0.952 0.048
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9571 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.8144 0.6162 0.252 0.748
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.7942 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.8861 0.4882 0.304 0.696
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.1843 0.9418 0.028 0.972
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.9044 0.4355 0.320 0.680
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9571 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.9571 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9571 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9571 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.2423 0.9333 0.040 0.960
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.9571 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.0376 0.9557 0.004 0.996
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0376 0.9557 0.004 0.996
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.0672 0.9547 0.008 0.992
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.9996 0.3286 0.512 0.488
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.3114 0.9202 0.056 0.944
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.7942 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.9571 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0672 0.9543 0.008 0.992
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.2043 0.9392 0.032 0.968
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.6048 0.8097 0.148 0.852
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.9754 0.5418 0.592 0.408
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.0938 0.9523 0.012 0.988
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.2778 0.9272 0.048 0.952
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#> 91BA307E-5C60-4142-8425-19182DE09A48 2 0.0000 0.9571 0.000 1.000
#> 523A80E7-95E8-4E89-AA62-FCAA015BDF68 2 0.0000 0.9571 0.000 1.000
#> 495095C5-F706-42A7-A2FF-5C708A659773 2 0.4815 0.8710 0.104 0.896
#> CA327F97-CE4D-4175-9857-651C8F56772D 1 0.9996 0.3286 0.512 0.488
#> 417360FD-18DF-463E-B496-FCD49F29CE50 2 0.0000 0.9571 0.000 1.000
#> 82FE3178-5681-44D7-8B18-D2FD764782FD 2 0.3431 0.9128 0.064 0.936
#> 21DE3A97-8B43-4078-8CC6-7C78D5AD93F4 2 0.0000 0.9571 0.000 1.000
#> DD9D5964-3E96-4ACC-ACB2-D1AE5DE3BEE0 1 0.0000 0.7942 1.000 0.000
#> DC3C3FA1-7742-4D50-812C-418B5035E30F 2 0.0000 0.9571 0.000 1.000
#> D361F7B1-6CF3-472E-B081-B606327DABCA 2 0.0000 0.9571 0.000 1.000
#> 58BA322C-EC09-4A4D-A44A-65C0ED975A4D 2 0.0000 0.9571 0.000 1.000
#> 821E3D5D-5BAC-415B-B722-AE97A23D142C 2 0.1184 0.9508 0.016 0.984
#> 3076973D-97E4-4E3E-BA81-910F8B505E06 2 0.0000 0.9571 0.000 1.000
#> 2E0B5BC2-28D6-48CE-B302-4333747CB009 2 0.0000 0.9571 0.000 1.000
#> 24FE253B-BC9F-48FE-84C4-33AA8EF99641 2 0.0000 0.9571 0.000 1.000
#> 1B1ABFE9-C01E-489E-856A-CD3DD3D100C0 2 0.0000 0.9571 0.000 1.000
#> 9E7E4BB2-2F91-4217-A8F0-AA891F2944C6 2 0.0672 0.9545 0.008 0.992
#> EAC2BC63-683A-44E1-90B9-9096AEB44949 2 0.0000 0.9571 0.000 1.000
#> 79C6F42B-6BC4-43FD-831B-200DF3AE2C30 2 0.0000 0.9571 0.000 1.000
#> 61C2C466-6680-42B2-8050-A597FC78A066 2 0.0000 0.9571 0.000 1.000
#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 2 0.0938 0.9527 0.012 0.988
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 2 0.0000 0.9571 0.000 1.000
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0672 0.7964 0.992 0.008
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 2 0.1633 0.9467 0.024 0.976
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 2 0.5408 0.8433 0.124 0.876
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 2 0.0000 0.9571 0.000 1.000
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.1184 0.9501 0.016 0.984
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.0376 0.9558 0.004 0.996
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0000 0.9571 0.000 1.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.2423 0.9330 0.040 0.960
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 2 0.0000 0.9571 0.000 1.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.9571 0.000 1.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 2 0.7056 0.7305 0.192 0.808
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 2 0.3879 0.9002 0.076 0.924
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.0000 0.9571 0.000 1.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 2 0.3274 0.9172 0.060 0.940
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.0000 0.9571 0.000 1.000
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.8016 0.6373 0.244 0.756
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 2 0.0000 0.9571 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.0000 0.9571 0.000 1.000
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0000 0.9571 0.000 1.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.0000 0.9571 0.000 1.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.1184 0.9499 0.016 0.984
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0000 0.9571 0.000 1.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.0376 0.9557 0.004 0.996
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 2 0.1843 0.9418 0.028 0.972
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.4431 0.8823 0.092 0.908
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.0000 0.9571 0.000 1.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.2236 0.7993 0.964 0.036
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.1843 0.9418 0.028 0.972
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.8608 0.7193 0.716 0.284
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.9571 0.000 1.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.0000 0.9571 0.000 1.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 2 0.1414 0.9477 0.020 0.980
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 2 0.0376 0.9557 0.004 0.996
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.5519 0.7930 0.872 0.128
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.8555 0.7269 0.720 0.280
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0000 0.9571 0.000 1.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.0000 0.9571 0.000 1.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.7942 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.9571 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.7942 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.4161 0.7976 0.916 0.084
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0000 0.9571 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.4431 0.8831 0.092 0.908
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.9571 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0672 0.9545 0.008 0.992
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.9571 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0000 0.9571 0.000 1.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.4161 0.8950 0.084 0.916
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.9571 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.1184 0.9506 0.016 0.984
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.0000 0.9571 0.000 1.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.9571 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.0938 0.9522 0.012 0.988
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.9571 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.1184 0.9499 0.016 0.984
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.0000 0.9571 0.000 1.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.9571 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9571 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.9571 0.000 1.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.9571 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 2 0.8555 0.5526 0.280 0.720
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.9571 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.9571 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0000 0.9571 0.000 1.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 2 0.4939 0.8623 0.108 0.892
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0000 0.9571 0.000 1.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.7815 0.7616 0.768 0.232
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.9170 0.3986 0.332 0.668
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.0000 0.9571 0.000 1.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.4161 0.8942 0.084 0.916
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1184 0.9499 0.016 0.984
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.7376 0.7134 0.208 0.792
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.0000 0.9571 0.000 1.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.7942 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.3431 0.9135 0.064 0.936
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9571 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.8267 0.5853 0.260 0.740
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.8016 0.7517 0.756 0.244
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9571 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.0672 0.9540 0.008 0.992
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.9571 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.9170 0.6676 0.668 0.332
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.9170 0.6676 0.668 0.332
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5737 0.8297 0.136 0.864
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.9571 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.9775 0.5334 0.588 0.412
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.9571 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.5629 0.8282 0.132 0.868
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.0376 0.9557 0.004 0.996
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.5178 0.8541 0.116 0.884
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.7942 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 2 0.3733 0.9011 0.072 0.928
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9571 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9571 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0672 0.7964 0.992 0.008
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.2236 0.9367 0.036 0.964
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.6801 0.7526 0.180 0.820
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0672 0.7962 0.992 0.008
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.7528 0.6972 0.216 0.784
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9571 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9571 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.7942 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 2 0.2948 0.9231 0.052 0.948
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0938 0.9527 0.012 0.988
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2948 0.9224 0.052 0.948
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.9571 0.000 1.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.9977 0.3809 0.528 0.472
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.9996 0.3286 0.512 0.488
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.9996 0.3286 0.512 0.488
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.9571 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0000 0.9571 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.9571 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.9571 0.000 1.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0672 0.9542 0.008 0.992
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.9427 0.6294 0.640 0.360
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.9571 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9571 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9571 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9571 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9571 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9571 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9571 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0376 0.9558 0.004 0.996
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.9087 0.4201 0.324 0.676
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.7942 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9571 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9571 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0672 0.9539 0.008 0.992
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9571 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0376 0.9557 0.004 0.996
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.0376 0.9559 0.004 0.996
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9571 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.1184 0.9509 0.016 0.984
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0672 0.7964 0.992 0.008
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1414 0.9485 0.020 0.980
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.5408 0.8460 0.124 0.876
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.9571 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.9571 0.000 1.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4815 0.8696 0.104 0.896
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.9571 0.000 1.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.9571 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9571 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1414 0.9479 0.020 0.980
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9571 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.0938 0.9523 0.012 0.988
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9571 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9571 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2423 0.9330 0.040 0.960
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6623 0.7712 0.172 0.828
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.1633 0.9467 0.024 0.976
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0672 0.9539 0.008 0.992
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.7942 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0000 0.9571 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.9427 0.6302 0.640 0.360
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.1184 0.9500 0.016 0.984
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9571 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9280 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9280 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.8795 0.3250 0.576 0.256 0.168
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2945 0.8859 0.088 0.908 0.004
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0237 0.9277 0.004 0.996 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1647 0.9186 0.036 0.960 0.004
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#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.1751 0.9189 0.028 0.960 0.012
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.6496 0.6932 0.208 0.736 0.056
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.5560 -0.2882 0.700 0.000 0.300
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 2 0.4741 0.8124 0.152 0.828 0.020
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0475 0.9275 0.004 0.992 0.004
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9280 0.000 1.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.5733 -0.3710 0.676 0.000 0.324
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.2384 0.9071 0.056 0.936 0.008
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.6678 0.6705 0.216 0.724 0.060
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.6451 -0.4996 0.560 0.004 0.436
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.7509 0.4957 0.300 0.636 0.064
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0475 0.9275 0.004 0.992 0.004
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9280 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.5678 -0.2992 0.684 0.000 0.316
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 2 0.4615 0.8241 0.144 0.836 0.020
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.1525 0.9200 0.032 0.964 0.004
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.3995 0.8557 0.116 0.868 0.016
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0829 0.9275 0.012 0.984 0.004
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.8198 0.3213 0.596 0.304 0.100
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.8659 0.3250 0.560 0.312 0.128
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.8659 0.3250 0.560 0.312 0.128
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0592 0.9281 0.012 0.988 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0000 0.9280 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.9280 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.9280 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1267 0.9245 0.024 0.972 0.004
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.8410 0.3376 0.620 0.216 0.164
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0237 0.9277 0.004 0.996 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9280 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0237 0.9277 0.004 0.996 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9280 0.000 1.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9280 0.000 1.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0661 0.9275 0.008 0.988 0.004
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0475 0.9275 0.004 0.992 0.004
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0829 0.9265 0.012 0.984 0.004
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.8773 0.1701 0.336 0.536 0.128
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.5560 -0.2882 0.700 0.000 0.300
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0475 0.9275 0.004 0.992 0.004
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0237 0.9277 0.004 0.996 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0983 0.9246 0.016 0.980 0.004
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9280 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0983 0.9249 0.016 0.980 0.004
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.2866 0.8946 0.076 0.916 0.008
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9280 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.1860 0.9150 0.052 0.948 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.6489 -0.5133 0.540 0.004 0.456
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2804 0.9041 0.060 0.924 0.016
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.6586 0.6829 0.216 0.728 0.056
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0475 0.9273 0.004 0.992 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.9280 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.6027 0.7636 0.164 0.776 0.060
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0237 0.9277 0.004 0.996 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.9280 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9280 0.000 1.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.2297 0.9111 0.036 0.944 0.020
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9280 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1877 0.9167 0.032 0.956 0.012
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0475 0.9275 0.004 0.992 0.004
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9280 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2945 0.8859 0.088 0.908 0.004
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6446 0.6875 0.212 0.736 0.052
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.2313 0.9131 0.032 0.944 0.024
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0983 0.9246 0.016 0.980 0.004
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.5560 -0.2882 0.700 0.000 0.300
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0475 0.9273 0.004 0.992 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.8711 0.3372 0.592 0.224 0.184
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2280 0.9097 0.052 0.940 0.008
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9280 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 3 0.9669 0.356816 0.204 0.184 0.384 0.228
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2773 0.820492 0.004 0.880 0.116 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0336 0.859317 0.000 0.992 0.008 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1867 0.853861 0.000 0.928 0.072 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0707 0.860329 0.000 0.980 0.020 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.3335 0.826007 0.000 0.856 0.128 0.016
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.2125 0.846123 0.000 0.920 0.076 0.004
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6248 0.056636 0.640 0.000 0.100 0.260
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.4720 0.505507 0.000 0.672 0.324 0.004
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0592 0.859999 0.000 0.984 0.016 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.5172 0.573446 0.016 0.692 0.284 0.008
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.4051 0.731017 0.004 0.784 0.208 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0336 0.859827 0.000 0.992 0.008 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.7742 0.176928 0.552 0.024 0.232 0.192
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.6250 0.512742 0.004 0.632 0.288 0.076
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.5111 0.624314 0.004 0.724 0.240 0.032
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0707 0.860329 0.000 0.980 0.020 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5114 0.567406 0.020 0.696 0.280 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0707 0.860329 0.000 0.980 0.020 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2125 0.846856 0.000 0.920 0.076 0.004
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.2125 0.847315 0.004 0.920 0.076 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0336 0.859424 0.000 0.992 0.008 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.4250 0.614167 0.000 0.724 0.276 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.858466 0.000 1.000 0.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.5477 0.235380 0.728 0.000 0.092 0.180
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.6783 -0.073224 0.052 0.508 0.420 0.020
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 4 0.4605 0.521571 0.336 0.000 0.000 0.664
#> D210EB84-3824-4D30-85B5-CD3BA710C170 3 0.6862 0.345919 0.056 0.432 0.492 0.020
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.4418 0.723788 0.000 0.784 0.184 0.032
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.7268 -0.258404 0.048 0.480 0.424 0.048
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0707 0.860555 0.000 0.980 0.020 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0188 0.859603 0.000 0.996 0.004 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.2973 0.798438 0.000 0.856 0.144 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.2329 0.851086 0.000 0.916 0.072 0.012
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.2329 0.851086 0.000 0.916 0.072 0.012
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.2473 0.841804 0.000 0.908 0.080 0.012
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.8255 0.573205 0.192 0.252 0.512 0.044
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.3856 0.788191 0.000 0.832 0.136 0.032
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.5879 0.080081 0.672 0.000 0.080 0.248
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.1118 0.860517 0.000 0.964 0.036 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.3470 0.823173 0.004 0.872 0.080 0.044
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.5755 0.478335 0.032 0.660 0.296 0.012
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.9693 -0.294219 0.368 0.224 0.244 0.164
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.3377 0.809975 0.000 0.848 0.140 0.012
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.3367 0.817238 0.000 0.864 0.108 0.028
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.1474 0.860795 0.000 0.948 0.052 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1302 0.375055 0.956 0.000 0.044 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 3 0.8790 0.243301 0.320 0.112 0.452 0.116
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3710 0.756993 0.000 0.804 0.192 0.004
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 3 0.9831 0.264318 0.252 0.176 0.328 0.244
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.4307 0.763437 0.000 0.808 0.144 0.048
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.3554 0.794495 0.000 0.844 0.136 0.020
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0188 0.858697 0.000 0.996 0.004 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.3157 0.794315 0.004 0.852 0.144 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.1510 0.862182 0.000 0.956 0.028 0.016
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.9693 -0.294219 0.368 0.224 0.244 0.164
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.3638 0.809729 0.000 0.848 0.120 0.032
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.2408 0.820091 0.000 0.896 0.104 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0336 0.859317 0.000 0.992 0.008 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0895 0.861885 0.000 0.976 0.020 0.004
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0336 0.859317 0.000 0.992 0.008 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.5282 -0.114311 0.688 0.000 0.036 0.276
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0469 0.860504 0.000 0.988 0.012 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.2888 0.808597 0.000 0.872 0.124 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0921 0.860514 0.000 0.972 0.028 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.4281 0.741633 0.000 0.792 0.180 0.028
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.6583 0.430165 0.008 0.628 0.264 0.100
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.1489 0.864137 0.000 0.952 0.044 0.004
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 3 0.9241 -0.134118 0.336 0.088 0.356 0.220
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.4475 0.668632 0.008 0.748 0.240 0.004
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0336 0.859349 0.000 0.992 0.008 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.4632 0.542415 0.004 0.688 0.308 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.2271 0.846962 0.000 0.916 0.076 0.008
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.2589 0.810979 0.000 0.884 0.116 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.5927 0.561958 0.012 0.688 0.240 0.060
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.1978 0.856793 0.000 0.928 0.068 0.004
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 2 0.5656 0.568545 0.004 0.692 0.248 0.056
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.858466 0.000 1.000 0.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0336 0.860234 0.000 0.992 0.008 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.1118 0.861033 0.000 0.964 0.036 0.000
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#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2773 0.820492 0.004 0.880 0.116 0.000
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#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.2596 0.845651 0.000 0.908 0.068 0.024
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.1118 0.858680 0.000 0.964 0.036 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0188 0.389953 0.996 0.000 0.004 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.2831 0.809439 0.000 0.876 0.120 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 3 0.9078 0.497640 0.236 0.184 0.464 0.116
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2124 0.851101 0.000 0.924 0.068 0.008
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0336 0.859960 0.000 0.992 0.008 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3210 0.65659 0.000 0.788 0.000 0.000 0.212
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.3143 0.66246 0.000 0.796 0.000 0.000 0.204
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 3 0.8435 0.53915 0.112 0.120 0.508 0.084 0.176
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2911 0.73119 0.004 0.852 0.008 0.000 0.136
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0510 0.78010 0.000 0.984 0.000 0.000 0.016
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2230 0.76342 0.000 0.884 0.000 0.000 0.116
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.4243 0.63553 0.000 0.712 0.024 0.000 0.264
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.2612 0.74810 0.000 0.868 0.008 0.000 0.124
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6491 -0.13931 0.544 0.000 0.156 0.284 0.016
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.5107 0.31585 0.000 0.632 0.040 0.008 0.320
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0703 0.77977 0.000 0.976 0.000 0.000 0.024
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.3109 0.66585 0.000 0.800 0.000 0.000 0.200
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4941 0.39395 0.016 0.640 0.020 0.000 0.324
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.4292 0.54898 0.000 0.704 0.024 0.000 0.272
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0703 0.78225 0.000 0.976 0.000 0.000 0.024
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.7303 0.20960 0.484 0.012 0.344 0.076 0.084
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.6554 -0.12762 0.000 0.428 0.172 0.004 0.396
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.5659 0.26894 0.000 0.580 0.100 0.000 0.320
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5278 0.31767 0.012 0.624 0.044 0.000 0.320
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2612 0.74879 0.000 0.868 0.008 0.000 0.124
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.2179 0.76251 0.004 0.896 0.000 0.000 0.100
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0510 0.78018 0.000 0.984 0.000 0.000 0.016
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.4746 0.45745 0.000 0.684 0.032 0.008 0.276
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0404 0.78038 0.000 0.988 0.000 0.000 0.012
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.3143 0.66246 0.000 0.796 0.000 0.000 0.204
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.5968 0.35374 0.664 0.000 0.156 0.144 0.036
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 5 0.7006 0.42085 0.032 0.420 0.096 0.016 0.436
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 4 0.3961 0.47176 0.184 0.000 0.032 0.780 0.004
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.7104 0.44089 0.032 0.332 0.120 0.016 0.500
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.4928 0.47274 0.000 0.660 0.056 0.000 0.284
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.7158 -0.43604 0.016 0.448 0.088 0.048 0.400
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.1704 0.77508 0.000 0.928 0.004 0.000 0.068
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0510 0.78005 0.000 0.984 0.000 0.000 0.016
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0510 0.78061 0.000 0.984 0.000 0.000 0.016
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.2890 0.70640 0.000 0.836 0.004 0.000 0.160
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0794 0.78229 0.000 0.972 0.000 0.000 0.028
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.2920 0.75163 0.000 0.852 0.016 0.000 0.132
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.3011 0.75087 0.000 0.844 0.016 0.000 0.140
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.3690 0.68176 0.000 0.780 0.020 0.000 0.200
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 5 0.8300 0.35544 0.088 0.224 0.196 0.032 0.460
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.4518 0.61191 0.000 0.732 0.048 0.004 0.216
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.5867 -0.00397 0.612 0.000 0.084 0.284 0.020
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.1281 0.78050 0.000 0.956 0.012 0.000 0.032
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.4811 0.61880 0.004 0.736 0.076 0.004 0.180
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.5782 0.22400 0.016 0.596 0.060 0.004 0.324
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.9579 -0.34955 0.328 0.156 0.204 0.104 0.208
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.4026 0.64126 0.000 0.736 0.020 0.000 0.244
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.3925 0.68249 0.000 0.784 0.032 0.004 0.180
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.1894 0.78074 0.000 0.920 0.008 0.000 0.072
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.2179 0.44509 0.896 0.000 0.100 0.000 0.004
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 5 0.9144 -0.13764 0.184 0.080 0.204 0.132 0.400
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3835 0.62469 0.000 0.744 0.012 0.000 0.244
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 3 0.7372 0.63073 0.192 0.156 0.560 0.012 0.080
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.4881 0.55978 0.000 0.696 0.060 0.004 0.240
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.4384 0.61511 0.000 0.728 0.044 0.000 0.228
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.3512 0.69715 0.004 0.828 0.024 0.004 0.140
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.2953 0.76421 0.000 0.868 0.028 0.004 0.100
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.9579 -0.34955 0.328 0.156 0.204 0.104 0.208
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.4708 0.59885 0.000 0.712 0.068 0.000 0.220
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.3003 0.67842 0.000 0.812 0.000 0.000 0.188
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0404 0.78011 0.000 0.988 0.000 0.000 0.012
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.2069 0.77403 0.000 0.912 0.012 0.000 0.076
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0510 0.78010 0.000 0.984 0.000 0.000 0.016
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.5312 -0.02255 0.624 0.000 0.064 0.308 0.004
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1124 0.78238 0.000 0.960 0.004 0.000 0.036
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.4040 0.61675 0.000 0.724 0.016 0.000 0.260
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.1082 0.78002 0.000 0.964 0.008 0.000 0.028
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.3491 0.64727 0.000 0.768 0.004 0.000 0.228
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.4901 0.50933 0.000 0.672 0.060 0.000 0.268
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.6618 -0.10339 0.000 0.492 0.240 0.004 0.264
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.2193 0.77711 0.000 0.900 0.008 0.000 0.092
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 3 0.7500 0.24125 0.220 0.028 0.548 0.056 0.148
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.4358 0.51658 0.008 0.696 0.012 0.000 0.284
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0609 0.78112 0.000 0.980 0.000 0.000 0.020
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.5168 0.36864 0.004 0.648 0.040 0.008 0.300
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.2522 0.76139 0.000 0.880 0.012 0.000 0.108
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.6349 0.20114 0.012 0.564 0.112 0.008 0.304
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.2929 0.75259 0.000 0.856 0.012 0.004 0.128
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 2 0.6087 0.13350 0.000 0.540 0.124 0.004 0.332
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0609 0.78240 0.000 0.980 0.000 0.000 0.020
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0609 0.78202 0.000 0.980 0.000 0.000 0.020
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.1357 0.78122 0.000 0.948 0.004 0.000 0.048
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.3690 0.68176 0.000 0.780 0.020 0.000 0.200
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 2 0.4404 0.58098 0.000 0.684 0.024 0.000 0.292
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.3280 0.70194 0.000 0.812 0.012 0.000 0.176
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 3 0.7366 0.63377 0.196 0.152 0.560 0.012 0.080
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.1282 0.78469 0.000 0.952 0.004 0.000 0.044
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.1831 0.77285 0.000 0.920 0.004 0.000 0.076
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0955 0.77956 0.000 0.968 0.004 0.000 0.028
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 2 0.7650 -0.51286 0.048 0.408 0.128 0.024 0.392
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.1041 0.77962 0.000 0.964 0.004 0.000 0.032
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.2920 0.75163 0.000 0.852 0.016 0.000 0.132
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0609 0.78322 0.000 0.980 0.000 0.000 0.020
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 2 0.7036 -0.32446 0.000 0.420 0.284 0.012 0.284
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.5356 0.31535 0.004 0.628 0.048 0.008 0.312
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 5 0.7764 0.40661 0.060 0.280 0.140 0.028 0.492
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.4358 0.51658 0.008 0.696 0.012 0.000 0.284
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.1544 0.78156 0.000 0.932 0.000 0.000 0.068
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.7370 0.28672 0.532 0.000 0.216 0.108 0.144
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.4494 0.58980 0.012 0.728 0.028 0.000 0.232
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 2 0.4465 0.63470 0.000 0.732 0.056 0.000 0.212
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.0609 0.78007 0.000 0.980 0.000 0.000 0.020
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.1831 0.77259 0.000 0.920 0.004 0.000 0.076
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.1043 0.78210 0.000 0.960 0.000 0.000 0.040
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.0510 0.78040 0.000 0.984 0.000 0.000 0.016
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0609 0.78273 0.000 0.980 0.000 0.000 0.020
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.2929 0.68342 0.000 0.820 0.000 0.000 0.180
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.6618 -0.10339 0.000 0.492 0.240 0.004 0.264
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.3764 0.62901 0.008 0.772 0.008 0.000 0.212
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 2 0.4295 0.57798 0.004 0.724 0.024 0.000 0.248
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.2377 0.75841 0.000 0.872 0.000 0.000 0.128
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.4524 0.62061 0.000 0.736 0.052 0.004 0.208
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0404 0.78044 0.000 0.988 0.000 0.000 0.012
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.51730 1.000 0.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.3203 0.70959 0.000 0.820 0.012 0.000 0.168
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.4443 0.55072 0.000 0.724 0.028 0.008 0.240
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.3143 0.66624 0.000 0.796 0.000 0.000 0.204
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.7519 0.28419 0.536 0.004 0.172 0.112 0.176
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 2 0.5556 0.47375 0.000 0.660 0.152 0.004 0.184
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#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 2 0.4679 0.59991 0.000 0.716 0.068 0.000 0.216
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 2 0.4354 0.63076 0.000 0.712 0.032 0.000 0.256
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 5 0.8321 -0.49956 0.308 0.000 0.248 0.132 0.312
#> 4D145415-3538-4C9F-8514-D519F8655F07 3 0.7290 0.59542 0.256 0.104 0.552 0.020 0.068
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.1205 0.78532 0.000 0.956 0.004 0.000 0.040
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.1041 0.78274 0.000 0.964 0.004 0.000 0.032
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.51730 1.000 0.000 0.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0703 0.78084 0.000 0.976 0.000 0.000 0.024
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0162 0.51720 0.996 0.000 0.000 0.000 0.004
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 4 0.6729 0.34808 0.220 0.076 0.072 0.616 0.016
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.1282 0.78469 0.000 0.952 0.004 0.000 0.044
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.4776 0.41505 0.000 0.668 0.028 0.008 0.296
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.1043 0.78210 0.000 0.960 0.000 0.000 0.040
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.1121 0.78670 0.000 0.956 0.000 0.000 0.044
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0794 0.78370 0.000 0.972 0.000 0.000 0.028
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.5043 0.57733 0.004 0.704 0.072 0.004 0.216
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.2929 0.73753 0.000 0.840 0.008 0.000 0.152
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.2761 0.75617 0.000 0.872 0.024 0.000 0.104
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0609 0.77976 0.000 0.980 0.000 0.000 0.020
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.4382 0.65097 0.000 0.760 0.060 0.004 0.176
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0880 0.78468 0.000 0.968 0.000 0.000 0.032
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.3355 0.69425 0.000 0.804 0.012 0.000 0.184
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.4584 0.56658 0.000 0.660 0.028 0.000 0.312
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0510 0.78010 0.000 0.984 0.000 0.000 0.016
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.2074 0.74670 0.000 0.896 0.000 0.000 0.104
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.3300 0.71877 0.000 0.792 0.004 0.000 0.204
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0609 0.78202 0.000 0.980 0.000 0.000 0.020
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 5 0.6922 0.43340 0.040 0.340 0.116 0.004 0.500
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.2249 0.77921 0.000 0.896 0.008 0.000 0.096
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 2 0.6649 0.01866 0.012 0.516 0.136 0.008 0.328
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0404 0.77922 0.000 0.988 0.000 0.000 0.012
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 3 0.8676 0.34199 0.292 0.092 0.408 0.148 0.060
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 5 0.7313 0.42987 0.052 0.400 0.108 0.012 0.428
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.2761 0.75617 0.000 0.872 0.024 0.000 0.104
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.4617 0.50229 0.004 0.668 0.024 0.000 0.304
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.2612 0.74810 0.000 0.868 0.008 0.000 0.124
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.6962 0.40925 0.024 0.376 0.132 0.008 0.460
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.1965 0.77671 0.000 0.904 0.000 0.000 0.096
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0162 0.51720 0.996 0.000 0.000 0.000 0.004
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.4492 0.63416 0.000 0.744 0.056 0.004 0.196
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.6982 -0.27237 0.008 0.436 0.356 0.008 0.192
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.9071 -0.18261 0.192 0.068 0.252 0.112 0.376
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.3143 0.66186 0.000 0.796 0.000 0.000 0.204
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.4157 0.62681 0.000 0.716 0.020 0.000 0.264
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0510 0.78040 0.000 0.984 0.000 0.000 0.016
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 5 0.8830 0.12516 0.092 0.136 0.280 0.084 0.408
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 5 0.8830 0.12516 0.092 0.136 0.280 0.084 0.408
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5085 0.36798 0.012 0.632 0.032 0.000 0.324
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0404 0.78184 0.000 0.988 0.000 0.000 0.012
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 3 0.7974 0.61179 0.184 0.152 0.508 0.016 0.140
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0404 0.78011 0.000 0.988 0.000 0.000 0.012
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.6620 0.17031 0.000 0.400 0.184 0.004 0.412
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.2920 0.75163 0.000 0.852 0.016 0.000 0.132
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.5107 0.31585 0.000 0.632 0.040 0.008 0.320
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0162 0.51720 0.996 0.000 0.000 0.000 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 2 0.5659 0.26894 0.000 0.580 0.100 0.000 0.320
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.4417 0.35340 0.772 0.000 0.124 0.100 0.004
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.3413 0.74514 0.004 0.828 0.016 0.004 0.148
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.6640 -0.11919 0.000 0.484 0.232 0.004 0.280
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.6226 -0.02345 0.596 0.004 0.088 0.284 0.028
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.6818 -0.02891 0.056 0.532 0.076 0.008 0.328
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0833 0.51034 0.976 0.000 0.016 0.004 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 2 0.5792 0.23586 0.000 0.572 0.096 0.004 0.328
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.1341 0.78126 0.000 0.944 0.000 0.000 0.056
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.3387 0.67838 0.004 0.796 0.004 0.000 0.196
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.1478 0.77980 0.000 0.936 0.000 0.000 0.064
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 5 0.8498 0.29039 0.128 0.216 0.216 0.020 0.420
#> F18497E5-C192-4A7A-9C22-263681E797DF 5 0.8300 0.35544 0.088 0.224 0.196 0.032 0.460
#> D6517B16-37E4-4342-9639-7C8C652A01A2 5 0.8300 0.35544 0.088 0.224 0.196 0.032 0.460
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.1270 0.78460 0.000 0.948 0.000 0.000 0.052
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1792 0.77672 0.000 0.916 0.000 0.000 0.084
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.9188 0.16744 0.096 0.160 0.232 0.120 0.392
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0404 0.78011 0.000 0.988 0.000 0.000 0.012
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0955 0.78270 0.000 0.968 0.004 0.000 0.028
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0510 0.78040 0.000 0.984 0.000 0.000 0.016
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0404 0.78051 0.000 0.988 0.000 0.000 0.012
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0510 0.78214 0.000 0.984 0.000 0.000 0.016
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3906 0.63808 0.000 0.744 0.016 0.000 0.240
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.1041 0.77915 0.000 0.964 0.004 0.000 0.032
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.7809 -0.51703 0.032 0.404 0.132 0.048 0.384
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0162 0.51720 0.996 0.000 0.000 0.000 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0703 0.78224 0.000 0.976 0.000 0.000 0.024
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1831 0.77285 0.000 0.920 0.004 0.000 0.076
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.2286 0.77454 0.000 0.888 0.004 0.000 0.108
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.4237 0.64151 0.000 0.752 0.048 0.000 0.200
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.2179 0.76660 0.000 0.888 0.000 0.000 0.112
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 4 0.7509 0.58385 0.216 0.000 0.280 0.448 0.056
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.3478 0.73723 0.000 0.828 0.032 0.004 0.136
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.5472 0.30448 0.008 0.624 0.048 0.008 0.312
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.3988 0.62199 0.000 0.732 0.016 0.000 0.252
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.3143 0.66624 0.000 0.796 0.000 0.000 0.204
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.5492 0.34214 0.000 0.608 0.076 0.004 0.312
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3051 0.73896 0.000 0.852 0.028 0.000 0.120
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.3143 0.66245 0.000 0.796 0.000 0.000 0.204
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0404 0.78054 0.000 0.988 0.000 0.000 0.012
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4718 0.50378 0.000 0.628 0.028 0.000 0.344
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.4565 0.55483 0.000 0.664 0.028 0.000 0.308
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0865 0.78001 0.000 0.972 0.004 0.000 0.024
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.3177 0.65798 0.000 0.792 0.000 0.000 0.208
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2911 0.73119 0.004 0.852 0.008 0.000 0.136
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6449 0.04594 0.000 0.524 0.268 0.004 0.204
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.3438 0.71674 0.000 0.808 0.020 0.000 0.172
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.1831 0.77285 0.000 0.920 0.004 0.000 0.076
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0162 0.51720 0.996 0.000 0.000 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.3305 0.65504 0.000 0.776 0.000 0.000 0.224
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.9268 0.15161 0.100 0.160 0.248 0.120 0.372
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2416 0.76642 0.000 0.888 0.012 0.000 0.100
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0703 0.78345 0.000 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 6 0.3575 0.520440 0.000 0.000 0.000 0.284 0.008 0.708
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 6 0.3309 0.530008 0.000 0.000 0.000 0.280 0.000 0.720
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.8374 -0.593322 0.056 0.088 0.088 0.252 0.436 0.080
#> C3B7657E-B340-4808-86D9-277E661D48DD 6 0.3709 0.640723 0.000 0.000 0.100 0.016 0.076 0.808
#> 622A8E32-1738-4F33-9108-39573001E650 6 0.1036 0.706957 0.000 0.000 0.004 0.008 0.024 0.964
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.2949 0.661632 0.000 0.000 0.028 0.000 0.140 0.832
#> FAE38724-0757-45E5-818D-9DFE1C132796 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 6 0.5285 0.135837 0.000 0.000 0.000 0.108 0.368 0.524
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.3657 0.614282 0.000 0.000 0.024 0.020 0.168 0.788
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6692 0.132606 0.516 0.300 0.100 0.044 0.040 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 6 0.5169 0.209489 0.000 0.000 0.292 0.000 0.120 0.588
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 6 0.1151 0.703338 0.000 0.000 0.012 0.000 0.032 0.956
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 6 0.3221 0.546510 0.000 0.000 0.000 0.264 0.000 0.736
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.5881 0.163585 0.000 0.000 0.196 0.020 0.220 0.564
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 6 0.5560 0.360314 0.000 0.000 0.140 0.028 0.208 0.624
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.1257 0.709183 0.000 0.000 0.000 0.020 0.028 0.952
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.7489 0.150092 0.412 0.032 0.068 0.348 0.128 0.012
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.6069 0.423191 0.000 0.000 0.016 0.200 0.508 0.276
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 6 0.3244 0.542854 0.000 0.000 0.000 0.268 0.000 0.732
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 6 0.6396 -0.248424 0.000 0.000 0.084 0.088 0.364 0.464
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.6341 0.075116 0.008 0.000 0.212 0.036 0.196 0.548
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#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 6 0.0717 0.704825 0.000 0.000 0.000 0.016 0.008 0.976
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 6 0.1552 0.708141 0.000 0.000 0.020 0.004 0.036 0.940
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 6 0.1806 0.711060 0.000 0.000 0.008 0.020 0.044 0.928
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 6 0.1408 0.710351 0.000 0.000 0.000 0.020 0.036 0.944
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 6 0.5440 0.225743 0.004 0.000 0.080 0.020 0.304 0.592
#> 2CC131C1-1144-4F09-A650-C41799F107F7 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 6 0.3915 0.552631 0.000 0.000 0.016 0.016 0.236 0.732
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 6 0.3290 0.600898 0.000 0.000 0.000 0.016 0.208 0.776
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 6 0.1124 0.706090 0.000 0.000 0.000 0.036 0.008 0.956
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 6 0.4159 0.204023 0.000 0.000 0.000 0.016 0.396 0.588
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 6 0.1364 0.711369 0.000 0.000 0.016 0.012 0.020 0.952
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 6 0.4413 0.543836 0.000 0.000 0.060 0.016 0.200 0.724
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 6 0.5649 0.041799 0.000 0.000 0.000 0.160 0.356 0.484
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 6 0.1036 0.706957 0.000 0.000 0.004 0.008 0.024 0.964
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 6 0.2473 0.661128 0.000 0.000 0.000 0.136 0.008 0.856
#> A95868A5-84D9-4538-843D-35FC17E37141 6 0.4520 0.579373 0.000 0.000 0.000 0.128 0.168 0.704
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 6 0.1003 0.708407 0.000 0.000 0.000 0.020 0.016 0.964
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 5 0.7655 0.058731 0.020 0.000 0.300 0.092 0.340 0.248
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 6 0.3288 0.534168 0.000 0.000 0.000 0.276 0.000 0.724
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 6 0.3210 0.669100 0.000 0.000 0.000 0.036 0.152 0.812
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 6 0.6887 -0.463212 0.004 0.000 0.080 0.140 0.384 0.392
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 6 0.0717 0.704825 0.000 0.000 0.000 0.016 0.008 0.976
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 4 0.9194 0.267270 0.128 0.228 0.052 0.296 0.216 0.080
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.6651 0.108172 0.012 0.000 0.452 0.036 0.160 0.340
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 6 0.3290 0.600898 0.000 0.000 0.000 0.016 0.208 0.776
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 6 0.5265 0.258839 0.000 0.000 0.148 0.000 0.260 0.592
#> 229B786F-7955-409B-A85D-A33D5810F519 6 0.3657 0.614282 0.000 0.000 0.024 0.020 0.168 0.788
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.7407 0.225309 0.012 0.000 0.204 0.100 0.412 0.272
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 6 0.2877 0.662165 0.000 0.000 0.000 0.012 0.168 0.820
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0146 0.626969 0.996 0.000 0.004 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 6 0.4890 0.383687 0.000 0.000 0.052 0.024 0.272 0.652
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.6090 0.470994 0.000 0.000 0.016 0.184 0.488 0.312
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 3 0.5470 0.153390 0.112 0.080 0.716 0.004 0.032 0.056
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 6 0.3244 0.542024 0.000 0.000 0.000 0.268 0.000 0.732
#> 93C1A410-3517-4019-A00F-B46F05A8B514 6 0.5519 0.367240 0.000 0.000 0.008 0.264 0.148 0.580
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 6 0.0767 0.706590 0.000 0.000 0.004 0.012 0.008 0.976
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 3 0.4116 0.445301 0.016 0.020 0.804 0.024 0.020 0.116
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 3 0.4116 0.445301 0.016 0.020 0.804 0.024 0.020 0.116
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 6 0.5937 0.160630 0.004 0.000 0.220 0.016 0.196 0.564
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 6 0.1049 0.709041 0.000 0.000 0.000 0.008 0.032 0.960
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 4 0.7802 0.545286 0.124 0.000 0.052 0.404 0.296 0.124
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 6 0.0508 0.705809 0.000 0.000 0.004 0.012 0.000 0.984
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.6066 0.407936 0.000 0.000 0.016 0.224 0.516 0.244
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 6 0.3627 0.584853 0.000 0.000 0.004 0.020 0.224 0.752
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 6 0.5169 0.209489 0.000 0.000 0.292 0.000 0.120 0.588
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0146 0.626969 0.996 0.000 0.004 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 6 0.6396 -0.248424 0.000 0.000 0.084 0.088 0.364 0.464
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 6 0.3244 0.542854 0.000 0.000 0.000 0.268 0.000 0.732
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.5182 0.486009 0.732 0.112 0.060 0.064 0.032 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 6 0.4844 0.570815 0.000 0.000 0.044 0.068 0.176 0.712
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.5183 0.514854 0.000 0.000 0.012 0.076 0.584 0.328
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.5780 0.251221 0.584 0.300 0.072 0.008 0.032 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 6 0.6353 -0.106021 0.052 0.000 0.332 0.000 0.132 0.484
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0632 0.621797 0.976 0.000 0.000 0.024 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 6 0.6396 -0.368118 0.000 0.000 0.064 0.108 0.400 0.428
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.1793 0.705018 0.000 0.000 0.036 0.004 0.032 0.928
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.4598 0.563523 0.000 0.000 0.124 0.024 0.116 0.736
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.2113 0.691930 0.000 0.000 0.008 0.004 0.092 0.896
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.5605 0.466507 0.072 0.000 0.648 0.000 0.092 0.188
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.5177 0.541896 0.016 0.000 0.700 0.032 0.076 0.176
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.5177 0.541896 0.016 0.000 0.700 0.032 0.076 0.176
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 6 0.1757 0.709527 0.000 0.000 0.008 0.012 0.052 0.928
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 6 0.3244 0.542854 0.000 0.000 0.000 0.268 0.000 0.732
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 6 0.3244 0.542854 0.000 0.000 0.000 0.268 0.000 0.732
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 6 0.3244 0.542854 0.000 0.000 0.000 0.268 0.000 0.732
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 6 0.2669 0.699317 0.000 0.000 0.032 0.016 0.072 0.880
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.5327 0.468044 0.028 0.080 0.716 0.004 0.036 0.136
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 6 0.0508 0.705809 0.000 0.000 0.004 0.012 0.000 0.984
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 6 0.1794 0.706405 0.000 0.000 0.000 0.040 0.036 0.924
#> 06CCB23C-062F-421D-A04A-394AE7F55987 6 0.0767 0.706590 0.000 0.000 0.004 0.012 0.008 0.976
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.0993 0.707308 0.000 0.000 0.000 0.012 0.024 0.964
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.0820 0.708995 0.000 0.000 0.000 0.016 0.012 0.972
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 6 0.4895 0.453826 0.000 0.000 0.000 0.256 0.108 0.636
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 6 0.1418 0.702389 0.000 0.000 0.024 0.000 0.032 0.944
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 3 0.7090 -0.025975 0.008 0.024 0.404 0.024 0.196 0.344
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0146 0.626969 0.996 0.000 0.004 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 297B9132-C6AC-43EF-B898-E4821808F857 6 0.0964 0.708544 0.000 0.000 0.004 0.012 0.016 0.968
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.2700 0.660013 0.000 0.000 0.004 0.004 0.156 0.836
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 6 0.3312 0.647451 0.000 0.000 0.000 0.028 0.180 0.792
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.5061 0.411983 0.000 0.000 0.028 0.076 0.232 0.664
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.3095 0.677525 0.000 0.000 0.044 0.008 0.104 0.844
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 2 0.6207 0.625479 0.052 0.548 0.312 0.064 0.024 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 6 0.4074 0.612270 0.000 0.000 0.044 0.020 0.176 0.760
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 6 0.5440 0.187476 0.008 0.000 0.292 0.000 0.124 0.576
#> F6381259-41CC-432C-9EB3-C232663DFBE2 6 0.5035 0.399211 0.000 0.000 0.000 0.296 0.104 0.600
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 6 0.3534 0.529110 0.000 0.000 0.000 0.276 0.008 0.716
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 6 0.6155 -0.090479 0.000 0.000 0.132 0.040 0.316 0.512
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.3541 0.531470 0.000 0.000 0.000 0.012 0.260 0.728
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 6 0.3221 0.546939 0.000 0.000 0.000 0.264 0.000 0.736
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.1003 0.707737 0.000 0.000 0.000 0.020 0.016 0.964
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 6 0.6077 0.170587 0.000 0.000 0.012 0.268 0.224 0.496
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 6 0.5820 0.257486 0.000 0.000 0.008 0.272 0.188 0.532
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 6 0.1245 0.703486 0.000 0.000 0.016 0.000 0.032 0.952
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 6 0.3330 0.524797 0.000 0.000 0.000 0.284 0.000 0.716
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.3709 0.640723 0.000 0.000 0.100 0.016 0.076 0.808
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.5725 0.494265 0.000 0.000 0.020 0.100 0.488 0.392
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.3767 0.517474 0.000 0.000 0.004 0.012 0.276 0.708
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.2700 0.660013 0.000 0.000 0.004 0.004 0.156 0.836
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0146 0.626969 0.996 0.000 0.004 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 6 0.4066 0.509806 0.000 0.000 0.000 0.272 0.036 0.692
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 3 0.6310 0.445583 0.040 0.080 0.660 0.020 0.064 0.136
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 6 0.3115 0.671166 0.000 0.000 0.048 0.012 0.092 0.848
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 6 0.1148 0.711112 0.000 0.000 0.004 0.016 0.020 0.960
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "kmeans"]
# you can also extract it by
# res = res_list["CV:kmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.881 0.918 0.961 0.4381 0.558 0.558
#> 3 3 0.408 0.557 0.723 0.3715 0.769 0.609
#> 4 4 0.455 0.625 0.715 0.1510 0.776 0.509
#> 5 5 0.535 0.534 0.709 0.0978 0.889 0.656
#> 6 6 0.664 0.586 0.729 0.0562 0.881 0.565
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.1184 0.9633 0.016 0.984
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.1184 0.9633 0.016 0.984
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1184 0.9461 0.984 0.016
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9713 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9713 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.9713 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9713 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.9998 -0.0283 0.492 0.508
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1184 0.9461 0.984 0.016
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1184 0.9461 0.984 0.016
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9713 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9713 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.1184 0.9633 0.016 0.984
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1184 0.9461 0.984 0.016
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2043 0.9375 0.968 0.032
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.9713 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1184 0.9461 0.984 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.6887 0.7947 0.816 0.184
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.1184 0.9633 0.016 0.984
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.1184 0.9633 0.016 0.984
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1184 0.9461 0.984 0.016
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9713 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.9993 0.0289 0.484 0.516
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9713 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.7883 0.6783 0.236 0.764
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9713 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9713 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9713 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9713 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.9713 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.1184 0.9633 0.016 0.984
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1184 0.9461 0.984 0.016
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.1184 0.9633 0.016 0.984
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.5737 0.8609 0.864 0.136
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1184 0.9461 0.984 0.016
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1184 0.9461 0.984 0.016
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6887 0.7581 0.184 0.816
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.9954 0.0295 0.460 0.540
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9713 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.9713 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9713 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.1184 0.9633 0.016 0.984
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9713 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.9713 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.0000 0.9713 0.000 1.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0000 0.9713 0.000 1.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.1184 0.9461 0.984 0.016
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1414 0.9442 0.980 0.020
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.7219 0.7948 0.800 0.200
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1184 0.9461 0.984 0.016
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.9713 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.9713 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.1184 0.9461 0.984 0.016
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.7299 0.7898 0.796 0.204
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1184 0.9461 0.984 0.016
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.3114 0.9227 0.944 0.056
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0000 0.9713 0.000 1.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.9713 0.000 1.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.1184 0.9633 0.016 0.984
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1184 0.9461 0.984 0.016
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1184 0.9461 0.984 0.016
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.9713 0.000 1.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1184 0.9461 0.984 0.016
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4161 0.9034 0.916 0.084
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.1184 0.9461 0.984 0.016
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9713 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.9713 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0672 0.9674 0.008 0.992
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1184 0.9461 0.984 0.016
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.1184 0.9461 0.984 0.016
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.1184 0.9633 0.016 0.984
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.9713 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.9713 0.000 1.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.9713 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.1184 0.9461 0.984 0.016
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.9713 0.000 1.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.6887 0.7947 0.816 0.184
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.9713 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.1184 0.9633 0.016 0.984
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.2948 0.9232 0.052 0.948
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.1184 0.9461 0.984 0.016
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.0000 0.9713 0.000 1.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.1184 0.9461 0.984 0.016
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.9393 0.5324 0.644 0.356
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.1184 0.9633 0.016 0.984
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.9713 0.000 1.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.9713 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.9713 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.1184 0.9633 0.016 0.984
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.1184 0.9461 0.984 0.016
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.0000 0.9713 0.000 1.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1184 0.9461 0.984 0.016
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.9713 0.000 1.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.9713 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.9713 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.1184 0.9461 0.984 0.016
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.9713 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.9713 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.3431 0.9055 0.936 0.064
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.9713 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.1184 0.9461 0.984 0.016
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.9713 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.0000 0.9713 0.000 1.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.1184 0.9633 0.016 0.984
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0000 0.9713 0.000 1.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0000 0.9713 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.1184 0.9461 0.984 0.016
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0000 0.9713 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.0000 0.9713 0.000 1.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.1184 0.9633 0.016 0.984
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0672 0.9674 0.008 0.992
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0000 0.9713 0.000 1.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.1184 0.9461 0.984 0.016
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0000 0.9713 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0000 0.9713 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.1184 0.9461 0.984 0.016
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.9983 0.2076 0.524 0.476
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.0000 0.9713 0.000 1.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.1184 0.9633 0.016 0.984
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.1184 0.9461 0.984 0.016
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.1184 0.9461 0.984 0.016
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.1184 0.9461 0.984 0.016
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.1184 0.9633 0.016 0.984
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.0938 0.9654 0.012 0.988
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.1184 0.9633 0.016 0.984
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.1184 0.9633 0.016 0.984
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.0000 0.9713 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.0000 0.9713 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0000 0.9713 0.000 1.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.1184 0.9633 0.016 0.984
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.9732 0.2485 0.404 0.596
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.0000 0.9713 0.000 1.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.1184 0.9461 0.984 0.016
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.0000 0.9713 0.000 1.000
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.7219 0.7948 0.800 0.200
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0000 0.9713 0.000 1.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.1184 0.9461 0.984 0.016
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.6438 0.7858 0.164 0.836
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.0000 0.9713 0.000 1.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.0000 0.9713 0.000 1.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 2 0.0000 0.9713 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.1184 0.9633 0.016 0.984
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.1184 0.9461 0.984 0.016
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 1 0.4815 0.8878 0.896 0.104
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.1184 0.9633 0.016 0.984
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 2 0.2236 0.9387 0.036 0.964
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 2 0.0000 0.9713 0.000 1.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.1184 0.9461 0.984 0.016
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 2 0.0000 0.9713 0.000 1.000
#> FB666689-F12A-438F-9458-63A96B6088B1 2 0.1184 0.9633 0.016 0.984
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 2 0.3584 0.9059 0.068 0.932
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 2 0.1184 0.9633 0.016 0.984
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.4022 0.9064 0.920 0.080
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 2 0.0000 0.9713 0.000 1.000
#> DC274A56-C469-4008-ABE9-9D55CF455388 2 0.5059 0.8542 0.112 0.888
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#> 9DB3FD40-1BA7-4E97-8860-D6F5A516E5D8 2 0.0000 0.9713 0.000 1.000
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#> 6A244E15-D280-4DF9-B8BF-8E2638BB63D3 2 0.0000 0.9713 0.000 1.000
#> 680DCC8A-71A0-4935-BB28-01BBBF7A4B06 2 0.0000 0.9713 0.000 1.000
#> 8335DF3D-6EE3-4FBA-A771-477D5332423D 1 0.6343 0.8380 0.840 0.160
#> F4738108-D26C-41F7-8514-CB525ADA1A75 2 0.3584 0.9063 0.068 0.932
#> 8666A3E0-7356-45A7-A742-713C113E4A56 1 0.1184 0.9461 0.984 0.016
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#> 7CC9F1B6-51AE-48E6-987B-432A756ACAF4 2 0.0000 0.9713 0.000 1.000
#> 39F85F32-5D4D-4DF8-AE5E-A6E9F9F5F779 2 0.0000 0.9713 0.000 1.000
#> 4F579CA2-FABF-4868-AF6B-B8C5D2B9C092 1 0.1184 0.9461 0.984 0.016
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#> F8627FF5-E937-4F76-8C1A-8D75C0D62D19 2 0.1184 0.9633 0.016 0.984
#> 9E514933-EA60-4958-85A3-F6CA82055196 1 0.1843 0.9392 0.972 0.028
#> 7794C8A0-3E30-4D9A-B0AE-55EFCAAB8047 1 0.1184 0.9461 0.984 0.016
#> E1D9DFC0-63C5-4A25-822A-1762CCA3C1E5 1 0.7219 0.7948 0.800 0.200
#> 5B6AADC3-E541-4E95-BC5F-E4AC2F8DFA1D 2 0.0000 0.9713 0.000 1.000
#> F785D064-DC91-4E78-A019-4BA0562A3561 2 0.0000 0.9713 0.000 1.000
#> 339978DC-6806-47A4-B9DF-0143A672E5DB 2 0.1184 0.9633 0.016 0.984
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#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.7219 0.7948 0.800 0.200
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.1184 0.9461 0.984 0.016
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.9713 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9713 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1184 0.9633 0.016 0.984
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1184 0.9461 0.984 0.016
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.1184 0.9461 0.984 0.016
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.9713 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.9713 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.9713 0.000 1.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.9983 -0.0371 0.476 0.524
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.1184 0.9461 0.984 0.016
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.1414 0.9442 0.980 0.020
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.9713 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.1184 0.9633 0.016 0.984
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.1184 0.9633 0.016 0.984
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.1184 0.9633 0.016 0.984
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9713 0.000 1.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.6438 0.8342 0.836 0.164
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.9713 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.1184 0.9633 0.016 0.984
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9713 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9713 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9713 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1184 0.9633 0.016 0.984
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9713 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9713 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.6623 0.8261 0.828 0.172
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1184 0.9461 0.984 0.016
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9713 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9713 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.2423 0.9356 0.040 0.960
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.1184 0.9633 0.016 0.984
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.9713 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.0000 0.9713 0.000 1.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.1184 0.9633 0.016 0.984
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.9713 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1184 0.9461 0.984 0.016
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.9713 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9713 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.1184 0.9633 0.016 0.984
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.1184 0.9633 0.016 0.984
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.9983 0.2076 0.524 0.476
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.9713 0.000 1.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.1184 0.9633 0.016 0.984
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9713 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1184 0.9633 0.016 0.984
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.1184 0.9633 0.016 0.984
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9608 0.4314 0.616 0.384
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9713 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.1184 0.9633 0.016 0.984
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.9713 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6343 0.8382 0.840 0.160
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.9608 0.3605 0.384 0.616
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.9713 0.000 1.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1184 0.9461 0.984 0.016
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.1184 0.9633 0.016 0.984
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1184 0.9461 0.984 0.016
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9713 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9713 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3816 0.6988 0.000 0.852 0.148
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.3619 0.7031 0.000 0.864 0.136
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2796 0.7294 0.908 0.000 0.092
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.1753 0.7383 0.000 0.952 0.048
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.4002 0.7129 0.000 0.840 0.160
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.6154 -0.2633 0.000 0.592 0.408
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.5291 0.6743 0.000 0.732 0.268
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 3 0.5902 0.6063 0.004 0.316 0.680
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.6280 0.2581 0.540 0.000 0.460
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0237 0.7481 0.996 0.000 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.5678 0.6353 0.000 0.684 0.316
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.5291 0.6743 0.000 0.732 0.268
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.3619 0.7031 0.000 0.864 0.136
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.7188 0.1883 0.492 0.024 0.484
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 3 0.7558 0.1159 0.400 0.044 0.556
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 3 0.6309 0.5595 0.000 0.496 0.504
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.7486 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 3 0.7421 0.4142 0.240 0.084 0.676
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.3816 0.6988 0.000 0.852 0.148
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.3816 0.6988 0.000 0.852 0.148
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6095 0.4506 0.608 0.000 0.392
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.5291 0.6743 0.000 0.732 0.268
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.9460 0.5249 0.240 0.260 0.500
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.5291 0.6743 0.000 0.732 0.268
#> 93C88EFA-475A-4583-8563-C032CBC3C652 3 0.8426 0.6591 0.092 0.384 0.524
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.2878 0.7245 0.000 0.904 0.096
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1643 0.7247 0.000 0.956 0.044
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1163 0.7276 0.000 0.972 0.028
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.5327 0.6717 0.000 0.728 0.272
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.2448 0.6967 0.000 0.924 0.076
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.6008 0.6254 0.000 0.628 0.372
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.7486 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.3619 0.7031 0.000 0.864 0.136
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.8836 0.1792 0.388 0.120 0.492
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0592 0.7459 0.988 0.000 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.4399 0.6832 0.812 0.000 0.188
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 3 0.8688 0.6568 0.112 0.372 0.516
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.9100 0.4485 0.160 0.516 0.324
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.5178 0.3682 0.000 0.744 0.256
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2537 0.6931 0.000 0.920 0.080
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1753 0.7173 0.000 0.952 0.048
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.3619 0.7031 0.000 0.864 0.136
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.5327 0.6717 0.000 0.728 0.272
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.2165 0.7072 0.000 0.936 0.064
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 3 0.6307 0.5754 0.000 0.488 0.512
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.5397 0.2781 0.000 0.720 0.280
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 3 0.6779 0.0352 0.444 0.012 0.544
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.4469 0.6962 0.852 0.028 0.120
#> F1933C33-752A-40B8-B776-84A5EA7F1566 3 0.8181 0.3026 0.324 0.092 0.584
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0237 0.7481 0.996 0.000 0.004
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1031 0.7292 0.000 0.976 0.024
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.5291 0.6743 0.000 0.732 0.268
#> 3B42E276-2FB9-4891-A188-911267B1479C 3 0.6280 -0.0390 0.460 0.000 0.540
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 3 0.8562 0.2662 0.352 0.108 0.540
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.7486 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 3 0.8143 0.2579 0.360 0.080 0.560
#> 97A2A7FD-9C45-4375-991E-28542A859888 3 0.6267 0.6169 0.000 0.452 0.548
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4121 0.5683 0.000 0.832 0.168
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.2261 0.7300 0.000 0.932 0.068
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.7486 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1753 0.7328 0.952 0.000 0.048
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.6235 0.0337 0.000 0.564 0.436
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.4235 0.6799 0.824 0.000 0.176
#> E475009E-2082-43DF-903D-7B85D9DF0587 3 0.8280 0.2787 0.360 0.088 0.552
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.6307 0.1728 0.512 0.000 0.488
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1031 0.7292 0.000 0.976 0.024
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.5291 0.6743 0.000 0.732 0.268
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 3 0.5678 0.6028 0.000 0.316 0.684
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.7486 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 3 0.8571 0.3698 0.340 0.112 0.548
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.3686 0.7020 0.000 0.860 0.140
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.5254 0.6759 0.000 0.736 0.264
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 3 0.6280 0.6097 0.000 0.460 0.540
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.4504 0.7012 0.000 0.804 0.196
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0592 0.7459 0.988 0.000 0.012
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.5529 0.2534 0.000 0.704 0.296
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 3 0.7022 0.6029 0.056 0.260 0.684
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.5291 0.6743 0.000 0.732 0.268
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.3816 0.6988 0.000 0.852 0.148
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 3 0.7178 0.6101 0.024 0.464 0.512
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.6309 0.2022 0.504 0.000 0.496
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.6299 -0.5009 0.000 0.524 0.476
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0747 0.7448 0.984 0.000 0.016
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 3 0.9431 0.1747 0.400 0.176 0.424
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.3619 0.7031 0.000 0.864 0.136
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.1031 0.7292 0.000 0.976 0.024
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.5678 0.6353 0.000 0.684 0.316
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.3551 0.7210 0.000 0.868 0.132
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.3619 0.7031 0.000 0.864 0.136
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.7181 0.1389 0.508 0.024 0.468
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 3 0.6267 0.6195 0.000 0.452 0.548
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.6302 0.1902 0.520 0.000 0.480
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.3619 0.6243 0.000 0.864 0.136
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.1163 0.7277 0.000 0.972 0.028
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.5178 0.6790 0.000 0.744 0.256
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 3 0.8514 0.3049 0.372 0.100 0.528
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.4452 0.7028 0.000 0.808 0.192
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.5291 0.6743 0.000 0.732 0.268
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 3 0.6975 0.1964 0.356 0.028 0.616
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.2448 0.6962 0.000 0.924 0.076
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.4002 0.6831 0.840 0.000 0.160
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.5291 0.6743 0.000 0.732 0.268
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.2356 0.7269 0.000 0.928 0.072
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.3619 0.7031 0.000 0.864 0.136
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.6307 -0.5195 0.000 0.512 0.488
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.5291 0.6743 0.000 0.732 0.268
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.7464 0.3446 0.560 0.040 0.400
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.5291 0.6743 0.000 0.732 0.268
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 3 0.6286 0.6059 0.000 0.464 0.536
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.4452 0.6693 0.000 0.808 0.192
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0000 0.7356 0.000 1.000 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.1163 0.7276 0.000 0.972 0.028
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.6305 0.2206 0.516 0.000 0.484
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.5650 0.6391 0.000 0.688 0.312
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.5291 0.6743 0.000 0.732 0.268
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#> 288A5E74-1800-4C29-814C-FCD749DD69D5 3 0.6804 -0.0430 0.460 0.012 0.528
#> 2908E927-F233-446D-AED9-D26F36013EDA 3 0.6305 0.5515 0.000 0.484 0.516
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 3 0.5678 0.6028 0.000 0.316 0.684
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.7486 1.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 3 0.8608 0.6575 0.104 0.384 0.512
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.2356 0.7222 0.928 0.000 0.072
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.6305 -0.4943 0.000 0.516 0.484
#> 445376A2-DB83-4BF9-923A-3057D7994097 3 0.6307 0.5754 0.000 0.488 0.512
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.6045 0.4127 0.620 0.000 0.380
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 3 0.6819 -0.0785 0.476 0.012 0.512
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.1753 0.7328 0.952 0.000 0.048
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0592 0.7459 0.988 0.000 0.012
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.3941 0.6318 0.000 0.844 0.156
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 3 0.6280 0.6097 0.000 0.460 0.540
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.7486 1.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.5291 0.6743 0.000 0.732 0.268
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.7486 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0592 0.7479 0.988 0.000 0.012
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0237 0.7348 0.000 0.996 0.004
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.5621 0.6426 0.000 0.692 0.308
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.7356 0.000 1.000 0.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.1643 0.7378 0.000 0.956 0.044
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.3816 0.6156 0.000 0.852 0.148
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.6140 -0.2745 0.000 0.596 0.404
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 3 0.8957 0.2065 0.376 0.132 0.492
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.5291 0.6743 0.000 0.732 0.268
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.6305 0.1765 0.516 0.000 0.484
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6291 -0.4803 0.000 0.532 0.468
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.7356 0.000 1.000 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 3 0.7411 0.6495 0.036 0.416 0.548
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.1289 0.7259 0.000 0.968 0.032
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.6763 -0.4160 0.012 0.552 0.436
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 3 0.5678 0.6028 0.000 0.316 0.684
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.5098 0.6818 0.000 0.752 0.248
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.1753 0.7335 0.000 0.952 0.048
#> A95868A5-84D9-4538-843D-35FC17E37141 3 0.6267 0.6195 0.000 0.452 0.548
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.1031 0.7292 0.000 0.976 0.024
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.1163 0.7455 0.972 0.000 0.028
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.3619 0.7031 0.000 0.864 0.136
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.5291 0.6743 0.000 0.732 0.268
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 3 0.6267 0.6195 0.000 0.452 0.548
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.6291 0.2241 0.532 0.000 0.468
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0424 0.7342 0.000 0.992 0.008
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.2448 0.7358 0.924 0.000 0.076
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.6950 0.2366 0.508 0.016 0.476
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 3 0.6912 0.6295 0.016 0.444 0.540
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 3 0.8765 0.5696 0.168 0.252 0.580
#> 229B786F-7955-409B-A85D-A33D5810F519 3 0.9267 0.4222 0.316 0.180 0.504
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.6267 0.3374 0.548 0.000 0.452
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 3 0.6267 0.6195 0.000 0.452 0.548
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.7486 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 3 0.8157 0.3355 0.308 0.096 0.596
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.5291 0.6743 0.000 0.732 0.268
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 3 0.6274 -0.0232 0.456 0.000 0.544
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.2711 0.7327 0.912 0.000 0.088
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.3619 0.7031 0.000 0.864 0.136
#> 93C1A410-3517-4019-A00F-B46F05A8B514 3 0.6140 0.4140 0.000 0.404 0.596
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.5291 0.6743 0.000 0.732 0.268
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.6723 0.5828 0.724 0.064 0.212
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.5519 0.6465 0.812 0.068 0.120
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.7890 0.4472 0.056 0.512 0.432
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.5138 0.3955 0.000 0.748 0.252
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.1031 0.7464 0.976 0.000 0.024
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0424 0.7369 0.000 0.992 0.008
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 3 0.7213 0.3575 0.272 0.060 0.668
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 3 0.6307 0.5754 0.000 0.488 0.512
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.5678 0.6353 0.000 0.684 0.316
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.7486 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.6299 0.2268 0.524 0.000 0.476
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.5291 0.6743 0.000 0.732 0.268
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.3619 0.7031 0.000 0.864 0.136
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.7486 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 3 0.7944 0.4157 0.244 0.112 0.644
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 3 0.8668 0.3995 0.304 0.132 0.564
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0237 0.7481 0.996 0.000 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.5678 0.6353 0.000 0.684 0.316
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.5291 0.6743 0.000 0.732 0.268
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.3619 0.7031 0.000 0.864 0.136
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.7486 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.6280 0.2474 0.540 0.000 0.460
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.3619 0.7212 0.000 0.864 0.136
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.6095 -0.1224 0.000 0.608 0.392
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6260 -0.4051 0.000 0.552 0.448
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.7997 0.5526 0.084 0.600 0.316
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3267 0.7226 0.884 0.000 0.116
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.7123 0.4323 0.604 0.032 0.364
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.1031 0.7292 0.000 0.976 0.024
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.4452 0.6672 0.000 0.808 0.192
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.4346 0.6748 0.000 0.816 0.184
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4062 0.6898 0.000 0.836 0.164
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4121 0.5788 0.000 0.832 0.168
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.6208 0.6076 0.776 0.088 0.136
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0237 0.7348 0.000 0.996 0.004
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2625 0.7080 0.000 0.916 0.084
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.5291 0.6743 0.000 0.732 0.268
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.2261 0.7082 0.000 0.932 0.068
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.2261 0.7030 0.000 0.932 0.068
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4605 0.6657 0.000 0.796 0.204
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.5291 0.6743 0.000 0.732 0.268
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.5291 0.6743 0.000 0.732 0.268
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.8511 0.1303 0.480 0.092 0.428
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.7486 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.5291 0.6743 0.000 0.732 0.268
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.5138 0.6804 0.000 0.748 0.252
#> BD96DBB9-E64A-43B1-9452-126DC0623058 3 0.7067 0.6060 0.020 0.468 0.512
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.3686 0.7016 0.000 0.860 0.140
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3192 0.6578 0.000 0.888 0.112
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 3 0.6307 0.5754 0.000 0.488 0.512
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.3619 0.7031 0.000 0.864 0.136
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.3482 0.6510 0.000 0.872 0.128
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0237 0.7481 0.996 0.000 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 3 0.6274 0.5964 0.000 0.456 0.544
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.5678 0.6353 0.000 0.684 0.316
#> F6381259-41CC-432C-9EB3-C232663DFBE2 3 0.5859 0.5677 0.000 0.344 0.656
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.3816 0.6988 0.000 0.852 0.148
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 3 0.9429 0.4865 0.232 0.264 0.504
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 3 0.6267 0.6195 0.000 0.452 0.548
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.3941 0.6947 0.000 0.844 0.156
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1031 0.7292 0.000 0.976 0.024
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5621 0.4862 0.000 0.692 0.308
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.3619 0.7031 0.000 0.864 0.136
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 3 0.7361 0.4783 0.172 0.124 0.704
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.5291 0.6743 0.000 0.732 0.268
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.3619 0.7031 0.000 0.864 0.136
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.5591 0.6531 0.000 0.696 0.304
#> 087A928E-FB5A-496C-8967-877899416E94 3 0.8337 0.2632 0.376 0.088 0.536
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 3 0.8969 0.6418 0.140 0.348 0.512
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.6126 -0.2538 0.000 0.600 0.400
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.7486 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.6295 -0.1152 0.000 0.528 0.472
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.2959 0.7297 0.900 0.000 0.100
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.1163 0.7381 0.000 0.972 0.028
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3686 0.6183 0.000 0.860 0.140
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3852 0.74056 0.808 0.000 0.012 0.180
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6426 0.46106 0.000 0.620 0.272 0.108
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.5757 0.43730 0.000 0.684 0.240 0.076
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.6466 0.15749 0.000 0.320 0.092 0.588
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.3071 0.68122 0.000 0.044 0.068 0.888
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.6770 0.53054 0.160 0.000 0.236 0.604
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0188 0.84739 0.996 0.000 0.000 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.3494 0.67761 0.000 0.172 0.824 0.004
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.6883 0.53235 0.080 0.012 0.364 0.544
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.6312 0.60173 0.048 0.016 0.320 0.616
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.6750 -0.18516 0.000 0.436 0.092 0.472
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0188 0.84719 0.996 0.000 0.000 0.004
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.2125 0.66514 0.004 0.052 0.012 0.932
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0376 0.66948 0.000 0.992 0.004 0.004
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 4 0.7400 0.40257 0.172 0.000 0.360 0.468
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.5966 0.57960 0.032 0.008 0.368 0.592
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 4 0.6264 0.60760 0.004 0.060 0.344 0.592
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.7665 0.18801 0.000 0.404 0.384 0.212
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.6080 0.67981 0.000 0.664 0.100 0.236
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.5096 0.71039 0.000 0.760 0.084 0.156
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.5566 0.69844 0.000 0.704 0.072 0.224
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.4898 -0.58076 0.000 0.584 0.416 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.84820 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.6232 0.57349 0.036 0.016 0.356 0.592
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.84820 1.000 0.000 0.000 0.000
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#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.84820 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.6991 0.58358 0.024 0.084 0.300 0.592
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 4 0.1510 0.66997 0.028 0.000 0.016 0.956
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0188 0.84739 0.996 0.000 0.000 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.3306 0.66053 0.000 0.156 0.840 0.004
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.84820 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 4 0.5834 0.56523 0.172 0.000 0.124 0.704
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.6652 0.10562 0.000 0.576 0.316 0.108
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.7031 0.50253 0.000 0.156 0.288 0.556
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6925 0.55538 0.000 0.544 0.128 0.328
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3534 0.65044 0.004 0.148 0.840 0.008
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.6602 0.57960 0.584 0.004 0.324 0.088
#> D6517B16-37E4-4342-9639-7C8C652A01A2 4 0.7182 0.52443 0.088 0.020 0.360 0.532
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4869 0.70499 0.000 0.780 0.088 0.132
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.2489 0.63976 0.000 0.912 0.020 0.068
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.2376 0.64341 0.000 0.916 0.016 0.068
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0336 0.67361 0.000 0.992 0.000 0.008
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.5592 0.66759 0.000 0.656 0.044 0.300
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.7706 0.51317 0.540 0.060 0.320 0.080
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4869 0.70499 0.000 0.780 0.088 0.132
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5309 0.68685 0.000 0.700 0.044 0.256
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6074 0.66914 0.000 0.648 0.084 0.268
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5250 0.70999 0.000 0.744 0.080 0.176
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1902 0.66435 0.000 0.932 0.004 0.064
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.5910 0.54963 0.088 0.000 0.236 0.676
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.84820 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.5999 0.77619 0.000 0.404 0.552 0.044
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.6606 0.51062 0.000 0.224 0.152 0.624
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.6357 0.63949 0.000 0.644 0.124 0.232
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.5951 0.62046 0.000 0.152 0.152 0.696
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.7820 0.00249 0.000 0.384 0.256 0.360
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0188 0.84739 0.996 0.000 0.000 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 4 0.5137 0.62003 0.000 0.024 0.296 0.680
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.3494 0.67761 0.000 0.172 0.824 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.5523 0.17254 0.000 0.596 0.024 0.380
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0336 0.66845 0.000 0.992 0.008 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.6786 0.56500 0.020 0.064 0.344 0.572
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.1733 0.66521 0.000 0.024 0.028 0.948
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0188 0.67274 0.000 0.996 0.000 0.004
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.4856 0.70543 0.000 0.780 0.084 0.136
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.2565 0.62696 0.000 0.912 0.056 0.032
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.7155 0.49944 0.020 0.212 0.152 0.616
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.4804 0.88580 0.000 0.384 0.616 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0188 0.66834 0.000 0.996 0.004 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.5073 0.62828 0.000 0.200 0.744 0.056
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.2319 0.66021 0.040 0.000 0.036 0.924
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.4095 0.67514 0.004 0.028 0.148 0.820
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.7023 0.43608 0.000 0.544 0.144 0.312
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.84820 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.4776 0.44466 0.000 0.732 0.024 0.244
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5732 0.67088 0.672 0.000 0.264 0.064
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5820 0.54849 0.000 0.700 0.192 0.108
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.6341 0.65380 0.000 0.652 0.136 0.212
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5064 0.60028 0.688 0.000 0.016 0.048 0.248
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.5033 0.52693 0.000 0.712 0.108 0.176 0.004
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.2074 0.70645 0.000 0.896 0.104 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.5492 0.32561 0.000 0.608 0.004 0.076 0.312
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.4138 0.38108 0.000 0.016 0.000 0.276 0.708
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.5609 0.41157 0.020 0.016 0.032 0.636 0.296
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.84354 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1168 0.79788 0.000 0.008 0.960 0.032 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.6082 0.52162 0.012 0.040 0.084 0.668 0.196
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.4342 0.45753 0.008 0.020 0.004 0.740 0.228
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.4335 0.45890 0.000 0.708 0.004 0.020 0.268
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0451 0.84119 0.988 0.000 0.008 0.000 0.004
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.3796 0.42414 0.000 0.008 0.008 0.216 0.768
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 4 0.5951 0.51014 0.044 0.008 0.084 0.680 0.184
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.6208 0.51547 0.004 0.120 0.084 0.676 0.116
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 4 0.6296 0.46063 0.004 0.184 0.044 0.644 0.124
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.6560 0.25118 0.000 0.428 0.128 0.428 0.016
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3691 0.63738 0.000 0.804 0.040 0.000 0.156
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.2304 0.70967 0.000 0.908 0.048 0.000 0.044
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.3379 0.63372 0.000 0.828 0.016 0.008 0.148
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.6780 0.49909 0.000 0.260 0.568 0.100 0.072
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.84354 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.5907 0.52196 0.000 0.052 0.084 0.668 0.196
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0671 0.83678 0.980 0.000 0.004 0.000 0.016
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.6519 0.49295 0.140 0.008 0.080 0.652 0.120
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.6059 0.14163 0.004 0.112 0.000 0.520 0.364
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3282 0.62140 0.000 0.008 0.804 0.188 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4138 0.49109 0.000 0.708 0.016 0.000 0.276
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3155 0.65681 0.000 0.852 0.020 0.008 0.120
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1815 0.71296 0.000 0.940 0.020 0.016 0.024
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.3380 0.65929 0.000 0.840 0.028 0.008 0.124
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.6771 -0.00172 0.000 0.324 0.000 0.392 0.284
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4219 0.57297 0.000 0.772 0.000 0.156 0.072
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.4365 0.33908 0.004 0.012 0.000 0.308 0.676
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.6884 0.17002 0.352 0.028 0.084 0.512 0.024
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.7739 0.23115 0.000 0.180 0.080 0.388 0.352
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.84354 1.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.2178 0.71379 0.000 0.920 0.048 0.008 0.024
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.2853 0.48226 0.012 0.076 0.016 0.008 0.888
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.7531 0.39968 0.000 0.188 0.084 0.492 0.236
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3132 0.69459 0.820 0.000 0.000 0.172 0.008
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.5002 0.13032 0.000 0.024 0.004 0.548 0.424
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.5309 0.35327 0.000 0.336 0.004 0.056 0.604
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3699 0.65239 0.000 0.824 0.012 0.128 0.036
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.1518 0.71561 0.000 0.952 0.020 0.016 0.012
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.84354 1.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5821 0.19003 0.492 0.000 0.080 0.424 0.004
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 5 0.8331 0.10051 0.000 0.304 0.256 0.132 0.308
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.5470 0.07018 0.408 0.000 0.012 0.040 0.540
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.5121 0.30712 0.012 0.032 0.008 0.276 0.672
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 4 0.5409 0.02677 0.024 0.008 0.008 0.500 0.460
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1893 0.71601 0.000 0.928 0.048 0.000 0.024
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.2127 0.91254 0.000 0.108 0.892 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 5 0.4714 0.29590 0.000 0.408 0.004 0.012 0.576
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1671 0.79719 0.924 0.000 0.000 0.076 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.3739 0.44237 0.004 0.012 0.004 0.192 0.788
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.5958 0.60952 0.000 0.648 0.040 0.224 0.088
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.3305 0.80259 0.000 0.224 0.776 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 5 0.4451 0.11765 0.000 0.492 0.004 0.000 0.504
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.2179 0.70383 0.000 0.888 0.112 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0290 0.84043 0.992 0.000 0.000 0.000 0.008
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4527 0.27055 0.000 0.596 0.012 0.000 0.392
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 5 0.3888 0.40601 0.000 0.032 0.004 0.176 0.788
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.5509 0.00884 0.000 0.064 0.000 0.472 0.464
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.6196 0.03248 0.012 0.016 0.064 0.372 0.536
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 5 0.4730 0.33072 0.000 0.416 0.004 0.012 0.568
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4953 0.57637 0.684 0.000 0.016 0.036 0.264
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.7963 0.42369 0.024 0.212 0.084 0.500 0.180
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.1862 0.71431 0.000 0.932 0.048 0.016 0.004
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.1168 0.79788 0.000 0.008 0.960 0.032 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.4901 0.54835 0.000 0.712 0.184 0.104 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 4 0.5426 0.03235 0.024 0.020 0.000 0.484 0.472
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.6416 0.35021 0.000 0.228 0.008 0.212 0.552
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.5348 -0.00797 0.020 0.020 0.000 0.468 0.492
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#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.5322 0.27146 0.000 0.408 0.044 0.544 0.004
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0162 0.84281 0.996 0.000 0.004 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 4 0.6890 0.33869 0.000 0.324 0.068 0.516 0.092
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1168 0.79788 0.000 0.008 0.960 0.032 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 5 0.6642 0.12250 0.000 0.244 0.012 0.220 0.524
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.6866 0.49048 0.000 0.108 0.092 0.584 0.216
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.3949 0.41198 0.000 0.300 0.004 0.000 0.696
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5958 0.60952 0.000 0.648 0.040 0.224 0.088
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1978 0.71426 0.000 0.928 0.044 0.004 0.024
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.6431 0.58483 0.000 0.608 0.056 0.236 0.100
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.6026 0.60669 0.000 0.644 0.044 0.224 0.088
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.6686 0.10847 0.004 0.060 0.072 0.320 0.544
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.2179 0.91586 0.000 0.112 0.888 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.6065 0.60647 0.000 0.644 0.048 0.220 0.088
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6667 0.10029 0.000 0.268 0.480 0.248 0.004
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.3706 0.47571 0.020 0.076 0.016 0.036 0.852
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.5930 0.12370 0.004 0.092 0.000 0.404 0.500
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5217 0.46773 0.000 0.676 0.004 0.232 0.088
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.84354 1.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.7189 0.47031 0.000 0.492 0.040 0.224 0.244
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.6595 0.10290 0.460 0.016 0.084 0.424 0.016
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2989 0.70130 0.000 0.872 0.080 0.044 0.004
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3694 0.64857 0.000 0.824 0.020 0.132 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 6 0.6304 -0.11659 0.388 0.000 0.000 0.088 0.072 0.452
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4501 0.55021 0.000 0.660 0.036 0.012 0.292 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.1812 0.71629 0.000 0.912 0.080 0.008 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4973 0.49670 0.000 0.648 0.000 0.012 0.084 0.256
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 6 0.4948 0.50663 0.000 0.000 0.008 0.252 0.092 0.648
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.4171 0.48600 0.004 0.004 0.008 0.072 0.772 0.140
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1219 0.86766 0.948 0.000 0.000 0.048 0.000 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0790 0.89273 0.000 0.000 0.968 0.000 0.032 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 5 0.0603 0.58709 0.000 0.016 0.000 0.000 0.980 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.4450 0.42059 0.000 0.000 0.008 0.188 0.720 0.084
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3716 0.56358 0.000 0.732 0.008 0.012 0.000 0.248
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1088 0.87297 0.960 0.000 0.000 0.024 0.000 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 6 0.4233 0.53815 0.000 0.000 0.004 0.208 0.064 0.724
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4210 0.92591 0.000 0.336 0.028 0.636 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.1930 0.57568 0.012 0.000 0.000 0.036 0.924 0.028
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 5 0.1777 0.58651 0.000 0.044 0.000 0.024 0.928 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.3977 0.51897 0.000 0.140 0.008 0.068 0.780 0.004
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 5 0.4178 0.13556 0.000 0.428 0.008 0.000 0.560 0.004
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2402 0.69209 0.000 0.868 0.000 0.012 0.000 0.120
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1341 0.73098 0.000 0.948 0.024 0.000 0.000 0.028
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1265 0.72479 0.000 0.948 0.000 0.008 0.000 0.044
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4926 0.29662 0.000 0.080 0.584 0.336 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0520 0.87770 0.984 0.000 0.000 0.008 0.000 0.008
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 5 0.0951 0.58650 0.004 0.020 0.000 0.000 0.968 0.008
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0993 0.87388 0.964 0.000 0.000 0.024 0.000 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.1605 0.58003 0.044 0.000 0.000 0.016 0.936 0.004
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.7500 0.03955 0.000 0.148 0.008 0.236 0.416 0.192
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3719 0.62314 0.000 0.000 0.728 0.024 0.248 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3494 0.57012 0.000 0.736 0.000 0.012 0.000 0.252
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0458 0.72921 0.000 0.984 0.000 0.000 0.000 0.016
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.1966 0.71918 0.000 0.924 0.024 0.028 0.024 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1578 0.72272 0.000 0.936 0.004 0.012 0.000 0.048
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.7595 -0.13942 0.000 0.380 0.008 0.244 0.232 0.136
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4284 0.59980 0.000 0.744 0.008 0.196 0.024 0.028
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 6 0.6000 0.34847 0.000 0.000 0.008 0.240 0.252 0.500
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 5 0.3669 0.50171 0.176 0.004 0.000 0.028 0.784 0.008
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.5093 0.39562 0.000 0.192 0.000 0.000 0.632 0.176
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0520 0.87914 0.984 0.000 0.000 0.008 0.008 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0692 0.72817 0.000 0.976 0.020 0.000 0.000 0.004
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.1749 0.53944 0.004 0.016 0.000 0.032 0.012 0.936
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.3974 0.47301 0.000 0.224 0.000 0.000 0.728 0.048
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.4170 0.61518 0.724 0.000 0.000 0.016 0.228 0.032
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.6244 -0.09602 0.000 0.000 0.008 0.256 0.408 0.328
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.4722 0.09609 0.000 0.488 0.000 0.012 0.024 0.476
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3573 0.70586 0.000 0.836 0.024 0.080 0.048 0.012
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.2361 0.66531 0.000 0.884 0.028 0.088 0.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.87976 1.000 0.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 5 0.4165 0.35272 0.292 0.000 0.000 0.036 0.672 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.6920 0.30665 0.000 0.508 0.144 0.012 0.092 0.244
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 6 0.4870 0.28581 0.272 0.000 0.000 0.056 0.020 0.652
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.4199 0.43279 0.000 0.004 0.000 0.044 0.248 0.704
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 6 0.6307 0.21229 0.000 0.000 0.008 0.284 0.332 0.376
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1405 0.72137 0.000 0.948 0.024 0.024 0.000 0.004
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 6 0.4165 0.39116 0.000 0.292 0.000 0.036 0.000 0.672
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2593 0.75406 0.844 0.000 0.000 0.008 0.148 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 6 0.3941 0.54177 0.000 0.000 0.008 0.232 0.028 0.732
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.3151 0.61144 0.000 0.252 0.748 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.3979 0.40967 0.000 0.628 0.000 0.012 0.000 0.360
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.1970 0.70800 0.000 0.900 0.092 0.008 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0146 0.87968 0.996 0.000 0.000 0.004 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4147 0.23804 0.000 0.552 0.000 0.012 0.000 0.436
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 6 0.3967 0.49343 0.000 0.000 0.000 0.356 0.012 0.632
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.7118 -0.11145 0.000 0.056 0.008 0.244 0.380 0.312
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 6 0.5567 0.33054 0.008 0.000 0.000 0.136 0.300 0.556
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.4787 0.25890 0.000 0.564 0.008 0.040 0.000 0.388
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 6 0.6054 -0.16349 0.424 0.000 0.000 0.088 0.048 0.440
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 5 0.3925 0.48836 0.008 0.220 0.000 0.004 0.744 0.024
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.1882 0.72126 0.000 0.928 0.028 0.024 0.020 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0790 0.89273 0.000 0.000 0.968 0.000 0.032 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.4218 0.64786 0.000 0.736 0.108 0.000 0.156 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.6337 -0.10854 0.000 0.004 0.008 0.236 0.400 0.352
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 6 0.7235 0.28647 0.000 0.316 0.008 0.260 0.064 0.352
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.6242 -0.15207 0.000 0.000 0.008 0.244 0.376 0.372
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.1806 0.73470 0.000 0.928 0.020 0.008 0.044 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.1882 0.72006 0.000 0.928 0.028 0.024 0.020 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.4584 0.18547 0.000 0.512 0.452 0.000 0.036 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 6 0.6257 0.16859 0.000 0.000 0.008 0.252 0.356 0.384
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.1890 0.71020 0.000 0.916 0.060 0.024 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.5309 -0.41239 0.000 0.012 0.008 0.520 0.052 0.408
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.4046 0.58222 0.000 0.744 0.028 0.020 0.208 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 6 0.6522 0.25086 0.264 0.000 0.000 0.060 0.172 0.504
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.2550 0.70142 0.000 0.892 0.024 0.048 0.036 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.4669 0.28531 0.000 0.556 0.000 0.016 0.408 0.020
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 5 0.1237 0.58150 0.020 0.004 0.000 0.000 0.956 0.020
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.5676 0.41922 0.000 0.632 0.008 0.228 0.044 0.088
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.3954 0.90443 0.000 0.352 0.012 0.636 0.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.1959 0.71905 0.000 0.924 0.032 0.024 0.020 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.2045 0.71987 0.000 0.920 0.028 0.024 0.028 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 6 0.4379 0.53142 0.008 0.000 0.000 0.240 0.052 0.700
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0790 0.89273 0.000 0.000 0.968 0.000 0.032 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 5 0.1644 0.58030 0.052 0.004 0.000 0.012 0.932 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 5 0.3817 0.46202 0.000 0.252 0.000 0.000 0.720 0.028
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.3395 0.70857 0.000 0.820 0.028 0.020 0.132 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
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#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0692 0.72817 0.000 0.976 0.020 0.000 0.000 0.004
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4356 0.89558 0.000 0.304 0.028 0.660 0.004 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.6767 -0.23337 0.000 0.040 0.000 0.360 0.256 0.344
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0260 0.92259 0.000 0.008 0.992 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4264 0.93001 0.000 0.332 0.032 0.636 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 5 0.5303 0.26149 0.000 0.332 0.120 0.000 0.548 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.2504 0.54270 0.000 0.004 0.000 0.088 0.028 0.880
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.7064 0.24114 0.000 0.052 0.008 0.244 0.304 0.392
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.4344 0.51207 0.000 0.724 0.008 0.036 0.220 0.012
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0260 0.88079 0.992 0.000 0.000 0.000 0.008 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4792 0.80292 0.000 0.300 0.008 0.632 0.000 0.060
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.4567 0.35184 0.280 0.004 0.000 0.048 0.664 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2756 0.72383 0.000 0.876 0.032 0.020 0.072 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3248 0.71689 0.000 0.836 0.016 0.024 0.120 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.894 0.919 0.967 0.4920 0.510 0.510
#> 3 3 0.852 0.898 0.952 0.3133 0.776 0.588
#> 4 4 0.695 0.654 0.811 0.1419 0.862 0.634
#> 5 5 0.689 0.648 0.825 0.0728 0.884 0.603
#> 6 6 0.774 0.730 0.861 0.0476 0.912 0.621
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9660 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9660 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9641 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9660 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9660 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1184 0.9521 0.016 0.984
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9660 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9641 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9641 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9641 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9660 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9660 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9660 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9641 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9641 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.9660 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9641 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9641 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9660 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.9660 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9641 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9660 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9641 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9660 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.4939 0.8586 0.892 0.108
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9660 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9660 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9660 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9660 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.9660 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9660 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9641 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9660 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0000 0.9641 1.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9641 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9641 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0000 0.9641 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.9754 0.3269 0.592 0.408
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9660 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.9660 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9660 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9660 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9660 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.9660 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.9795 0.2991 0.416 0.584
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0000 0.9660 0.000 1.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9641 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.9641 1.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.9641 1.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9641 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.9660 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.9660 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.9641 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.9641 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9641 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9641 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.7139 0.7483 0.804 0.196
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.2043 0.9375 0.032 0.968
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9660 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9641 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9641 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.9660 0.000 1.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9641 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.9641 1.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9641 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9660 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.9660 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.4815 0.8646 0.896 0.104
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9641 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9641 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.9660 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.9660 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.9660 0.000 1.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.9660 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9641 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1184 0.9523 0.016 0.984
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.9641 1.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.9660 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.9660 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.9641 1.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9641 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.9170 0.5122 0.668 0.332
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9641 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.1843 0.9406 0.972 0.028
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9660 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.9660 0.000 1.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.9660 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.9660 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9660 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.9641 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.9710 0.3436 0.400 0.600
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9641 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.9660 0.000 1.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.9660 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.9660 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.9641 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.9660 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.9660 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.9641 1.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.9660 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9641 1.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.9660 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.0000 0.9660 0.000 1.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.9660 0.000 1.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.2043 0.9377 0.032 0.968
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0000 0.9660 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.9641 1.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0000 0.9660 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.5842 0.8209 0.140 0.860
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.0000 0.9660 0.000 1.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0000 0.9660 0.000 1.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0000 0.9660 0.000 1.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.9641 1.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0000 0.9660 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0000 0.9660 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.9641 1.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.1414 0.9476 0.980 0.020
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.0000 0.9660 0.000 1.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.9660 0.000 1.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.9641 1.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.9641 1.000 0.000
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#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.9660 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0000 0.9660 0.000 1.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.1414 0.9477 0.980 0.020
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.9660 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.9641 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.9000 0.5247 0.316 0.684
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.9660 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.9641 1.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.9660 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.8386 0.6319 0.268 0.732
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.9641 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.9660 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9660 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.9775 0.2892 0.588 0.412
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.9660 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9641 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.9660 0.000 1.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.9660 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.7376 0.7292 0.208 0.792
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.9641 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0000 0.9660 0.000 1.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9641 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.0000 0.9641 1.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.0000 0.9641 1.000 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.0000 0.9641 1.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0000 0.9641 1.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.9641 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0938 0.9543 0.988 0.012
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9641 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.9641 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9660 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9641 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.9641 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9660 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.9954 0.1259 0.460 0.540
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.9660 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9641 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9641 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.0000 0.9641 1.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.9660 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9641 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.9660 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9641 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.8207 0.6551 0.744 0.256
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.9660 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9641 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9641 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9660 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9660 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9641 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0376 0.9610 0.996 0.004
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9641 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9641 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.4298 0.8800 0.088 0.912
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9660 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9660 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9641 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9641 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.9660 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2948 0.9177 0.052 0.948
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.9660 0.000 1.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.9580 0.4004 0.620 0.380
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.9641 1.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.0000 0.9641 1.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.9660 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0000 0.9660 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.9660 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.9660 0.000 1.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9660 0.000 1.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0000 0.9641 1.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.9660 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9660 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9660 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9660 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9660 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9660 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9660 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9660 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9641 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9641 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9660 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9660 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.9732 0.3126 0.596 0.404
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9660 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.9660 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.6438 0.7900 0.836 0.164
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9660 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.9660 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9641 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.3431 0.9059 0.936 0.064
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9660 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.9660 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.9660 0.000 1.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.7219 0.7425 0.800 0.200
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0000 0.9641 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.9660 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9660 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1414 0.9487 0.020 0.980
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9660 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.7139 0.7483 0.804 0.196
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9660 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9660 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.9660 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9641 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.9641 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0938 0.9558 0.012 0.988
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9641 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0000 0.9660 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9641 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9660 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9660 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9347 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9347 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9511 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.9617 0.000 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0892 0.9489 0.000 0.020 0.980
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1529 0.9325 0.000 0.960 0.040
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9617 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.2165 0.9061 0.936 0.064 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9511 1.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9511 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9617 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9617 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9347 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9511 1.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9511 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1411 0.9334 0.000 0.964 0.036
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9511 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2625 0.8865 0.916 0.084 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9347 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.9347 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9511 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9617 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9511 1.000 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9617 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.3941 0.7937 0.844 0.156 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.3551 0.8499 0.000 0.132 0.868
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1529 0.9325 0.000 0.960 0.040
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1529 0.9325 0.000 0.960 0.040
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9617 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1529 0.9325 0.000 0.960 0.040
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.2066 0.9233 0.000 0.060 0.940
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9511 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9347 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0000 0.9511 1.000 0.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9511 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9511 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.2625 0.8750 0.916 0.084 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.9617 0.000 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.1529 0.9325 0.000 0.960 0.040
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.1529 0.9325 0.000 0.960 0.040
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0592 0.9349 0.000 0.988 0.012
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9347 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9617 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1411 0.9334 0.000 0.964 0.036
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4452 0.7725 0.192 0.808 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.1163 0.9343 0.000 0.972 0.028
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9511 1.000 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.9511 1.000 0.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0475 0.9455 0.992 0.004 0.004
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9511 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1529 0.9325 0.000 0.960 0.040
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9617 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.9511 1.000 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.1647 0.9204 0.960 0.036 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9511 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9511 1.000 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.5466 0.7535 0.800 0.160 0.040
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.1399 0.9343 0.004 0.968 0.028
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9347 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9511 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9511 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.0000 0.9617 0.000 0.000 1.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9511 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.9511 1.000 0.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9511 1.000 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1289 0.9340 0.000 0.968 0.032
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9617 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0000 0.9347 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9511 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9511 1.000 0.000 0.000
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cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1022 0.83895 0.968 0.000 0.000 0.032
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3610 0.75100 0.000 0.200 0.800 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.5155 -0.36968 0.000 0.528 0.004 0.468
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.2149 0.49808 0.088 0.000 0.000 0.912
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4992 0.46667 0.000 0.476 0.000 0.524
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.2868 0.48171 0.136 0.000 0.000 0.864
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.3356 0.63539 0.824 0.176 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.3610 0.75100 0.000 0.200 0.800 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1716 0.63542 0.000 0.936 0.000 0.064
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1637 0.63909 0.000 0.940 0.000 0.060
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4431 0.61568 0.000 0.000 0.696 0.304
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0188 0.85482 0.996 0.000 0.000 0.004
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.5510 0.27260 0.480 0.016 0.000 0.504
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.4992 0.46480 0.000 0.476 0.000 0.524
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.1557 0.64333 0.000 0.944 0.000 0.056
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0188 0.69056 0.000 0.996 0.000 0.004
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1716 0.63479 0.000 0.936 0.000 0.064
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.6863 0.56968 0.116 0.348 0.000 0.536
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4222 0.23935 0.000 0.728 0.000 0.272
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 4 0.4933 0.33865 0.432 0.000 0.000 0.568
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.4669 0.58427 0.764 0.200 0.000 0.036
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1557 0.64333 0.000 0.944 0.000 0.056
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.4697 0.31455 0.644 0.000 0.000 0.356
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.3610 0.61111 0.800 0.200 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.2704 0.73931 0.876 0.000 0.000 0.124
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.6253 0.55824 0.064 0.372 0.000 0.564
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0707 0.69168 0.000 0.980 0.000 0.020
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1022 0.83895 0.968 0.000 0.000 0.032
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.2868 0.74449 0.864 0.000 0.000 0.136
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.3266 0.67905 0.832 0.000 0.000 0.168
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.2216 0.28889 0.000 0.092 0.000 0.908
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 4 0.4933 0.33865 0.432 0.000 0.000 0.568
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0188 0.91882 0.000 0.004 0.996 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.4941 0.51889 0.000 0.436 0.000 0.564
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0921 0.90224 0.000 0.028 0.972 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.3942 0.34050 0.000 0.764 0.000 0.236
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.0000 0.41483 0.000 0.000 0.000 1.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.6507 0.41167 0.404 0.076 0.000 0.520
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.1022 0.83895 0.968 0.000 0.000 0.032
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.4933 0.52317 0.000 0.432 0.000 0.568
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.1022 0.83895 0.968 0.000 0.000 0.032
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.3610 0.61111 0.800 0.200 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.3975 0.70479 0.000 0.240 0.760 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 4 0.5000 0.23395 0.496 0.000 0.000 0.504
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.4795 0.14214 0.012 0.696 0.000 0.292
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 4 0.5000 0.23395 0.496 0.000 0.000 0.504
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.4992 0.27749 0.476 0.000 0.000 0.524
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.4454 0.46907 0.000 0.692 0.308 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.3569 0.42574 0.196 0.000 0.000 0.804
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0336 0.68908 0.000 0.992 0.008 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0592 0.84854 0.984 0.000 0.000 0.016
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.4925 0.63441 0.000 0.572 0.000 0.428
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.5871 0.38775 0.028 0.412 0.556 0.004
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 4 0.4992 0.46734 0.000 0.476 0.000 0.524
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0188 0.69056 0.000 0.996 0.000 0.004
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.3801 0.62399 0.780 0.000 0.000 0.220
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.3610 0.61111 0.800 0.200 0.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.4040 0.69903 0.000 0.248 0.752 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.4948 -0.02014 0.560 0.000 0.000 0.440
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.2469 0.68396 0.000 0.892 0.000 0.108
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0188 0.69056 0.000 0.996 0.000 0.004
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.4890 0.65856 0.776 0.080 0.000 0.144
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.4454 0.41550 0.692 0.308 0.000 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 4 0.5126 0.50681 0.000 0.444 0.004 0.552
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.4957 0.56506 0.748 0.204 0.000 0.048
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0188 0.68961 0.000 0.996 0.004 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.4262 0.46040 0.236 0.756 0.000 0.008
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.0188 0.69056 0.000 0.996 0.000 0.004
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 4 0.5427 0.36475 0.416 0.016 0.000 0.568
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 2 0.7424 -0.30281 0.408 0.424 0.000 0.168
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.4999 -0.15530 0.508 0.000 0.000 0.492
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 4 0.4933 0.52317 0.000 0.432 0.000 0.568
#> FB666689-F12A-438F-9458-63A96B6088B1 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 4 0.7299 0.53371 0.296 0.184 0.000 0.520
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.1637 0.81813 0.940 0.000 0.000 0.060
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> DC274A56-C469-4008-ABE9-9D55CF455388 2 0.6373 0.50699 0.200 0.652 0.000 0.148
#> 321A3603-B668-4E2C-B605-2AC9F447326F 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 9DB3FD40-1BA7-4E97-8860-D6F5A516E5D8 3 0.2868 0.81288 0.000 0.136 0.864 0.000
#> 63B5AC5A-413E-426D-BAA6-47405412EAC0 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 6A244E15-D280-4DF9-B8BF-8E2638BB63D3 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 680DCC8A-71A0-4935-BB28-01BBBF7A4B06 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 8335DF3D-6EE3-4FBA-A771-477D5332423D 4 0.4817 0.38712 0.388 0.000 0.000 0.612
#> F4738108-D26C-41F7-8514-CB525ADA1A75 4 0.7412 0.57624 0.200 0.296 0.000 0.504
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#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 4 0.4933 0.52317 0.000 0.432 0.000 0.568
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 4 0.5000 0.23395 0.496 0.000 0.000 0.504
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.1557 0.64333 0.000 0.944 0.000 0.056
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0469 0.85073 0.988 0.000 0.000 0.012
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.5766 0.38335 0.404 0.032 0.000 0.564
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.3610 0.64902 0.800 0.000 0.200 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 4 0.6685 0.58966 0.108 0.324 0.000 0.568
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.4224 0.66664 0.812 0.144 0.000 0.044
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.4585 0.37981 0.668 0.000 0.000 0.332
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.7254 -0.00684 0.384 0.148 0.000 0.468
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.4661 0.39153 0.000 0.348 0.652 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0188 0.85424 0.996 0.000 0.004 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.3074 0.76651 0.152 0.000 0.848 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.1940 0.62294 0.000 0.924 0.000 0.076
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.4961 0.37410 0.000 0.448 0.552 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.2868 0.48171 0.136 0.000 0.000 0.864
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.4981 0.48487 0.000 0.464 0.000 0.536
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.4331 0.49908 0.712 0.000 0.000 0.288
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.6732 0.35692 0.612 0.168 0.000 0.220
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 4 0.4998 0.25002 0.488 0.000 0.000 0.512
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4134 0.68025 0.000 0.260 0.740 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.6746 0.43176 0.108 0.340 0.552 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.2469 0.58501 0.000 0.892 0.000 0.108
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0188 0.68961 0.000 0.996 0.004 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.4955 0.62569 0.000 0.556 0.000 0.444
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.3610 0.64902 0.800 0.000 0.200 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.1022 0.67243 0.000 0.968 0.032 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0817 0.69123 0.000 0.976 0.000 0.024
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0469 0.68222 0.000 0.988 0.000 0.012
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.1022 0.83895 0.968 0.000 0.000 0.032
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.7402 0.55866 0.264 0.220 0.000 0.516
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0336 0.68906 0.000 0.992 0.000 0.008
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.7402 0.58577 0.192 0.308 0.000 0.500
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.3688 0.74218 0.000 0.208 0.792 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.5708 0.15848 0.556 0.416 0.000 0.028
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.1867 0.31605 0.000 0.072 0.000 0.928
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.4877 0.32083 0.592 0.000 0.408 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4933 0.52317 0.000 0.432 0.000 0.568
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.68964 0.000 1.000 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4999 0.19328 0.508 0.000 0.000 0.492
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4933 0.63417 0.000 0.568 0.000 0.432
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.92148 0.000 0.000 1.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.4228 0.59732 0.760 0.008 0.000 0.232
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.6396 0.45191 0.360 0.076 0.000 0.564
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5113 0.61577 0.032 0.704 0.000 0.264
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4222 -0.17180 0.000 0.272 0.000 0.728
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.85672 1.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4134 0.68424 0.000 0.260 0.740 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.68964 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3838 0.59771 0.716 0.000 0.000 0.004 0.280
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3143 0.72243 0.000 0.204 0.796 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.5103 0.17795 0.004 0.544 0.008 0.016 0.428
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.2674 0.57045 0.012 0.000 0.000 0.120 0.868
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1121 0.80923 0.956 0.000 0.000 0.000 0.044
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0794 0.81161 0.972 0.000 0.000 0.000 0.028
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.3774 0.46952 0.704 0.000 0.000 0.000 0.296
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3934 0.47114 0.000 0.716 0.000 0.008 0.276
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0963 0.81140 0.964 0.000 0.000 0.000 0.036
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.3608 0.52431 0.148 0.000 0.000 0.040 0.812
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0609 0.80434 0.980 0.000 0.000 0.000 0.020
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5151 0.30276 0.644 0.300 0.000 0.008 0.048
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.3977 0.70475 0.032 0.204 0.764 0.000 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.4445 0.44631 0.000 0.676 0.000 0.024 0.300
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1725 0.73326 0.000 0.936 0.000 0.044 0.020
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1892 0.68710 0.000 0.916 0.000 0.004 0.080
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4161 0.36258 0.000 0.000 0.608 0.392 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1478 0.80044 0.936 0.000 0.000 0.000 0.064
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0510 0.80569 0.984 0.000 0.000 0.000 0.016
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.3143 0.70350 0.796 0.000 0.000 0.000 0.204
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0609 0.80434 0.980 0.000 0.000 0.000 0.020
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.4503 0.46575 0.312 0.024 0.000 0.000 0.664
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1043 0.88712 0.040 0.000 0.960 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4321 0.28544 0.000 0.600 0.000 0.004 0.396
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2233 0.69529 0.000 0.904 0.000 0.016 0.080
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2230 0.74827 0.000 0.884 0.000 0.116 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.3882 0.59836 0.000 0.788 0.000 0.044 0.168
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.5571 0.25172 0.084 0.348 0.000 0.000 0.568
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4302 0.19995 0.000 0.520 0.000 0.000 0.480
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.2852 0.56187 0.172 0.000 0.000 0.000 0.828
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3967 0.56609 0.724 0.012 0.000 0.000 0.264
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0794 0.81161 0.972 0.000 0.000 0.000 0.028
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.3622 0.65323 0.000 0.816 0.000 0.048 0.136
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.5286 -0.06719 0.448 0.048 0.000 0.000 0.504
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2929 0.66897 0.820 0.000 0.000 0.000 0.180
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1792 0.79567 0.916 0.000 0.000 0.000 0.084
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4420 0.12961 0.548 0.000 0.000 0.004 0.448
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.4969 0.38920 0.056 0.292 0.000 0.000 0.652
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4535 0.63662 0.000 0.748 0.000 0.092 0.160
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.4305 0.24221 0.000 0.512 0.000 0.488 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0963 0.81140 0.964 0.000 0.000 0.000 0.036
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
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#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0963 0.81140 0.964 0.000 0.000 0.000 0.036
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.3932 0.43024 0.328 0.000 0.000 0.000 0.672
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4126 0.40487 0.000 0.380 0.620 0.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.6409 0.33607 0.192 0.528 0.276 0.004 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4483 0.43528 0.008 0.672 0.000 0.012 0.308
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0609 0.90352 0.020 0.000 0.980 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.2233 0.75083 0.000 0.892 0.004 0.104 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2074 0.75087 0.000 0.896 0.000 0.104 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.2929 0.64983 0.820 0.000 0.180 0.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2136 0.75058 0.000 0.904 0.008 0.088 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.6195 -0.07648 0.000 0.368 0.000 0.488 0.144
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.2536 0.65773 0.000 0.868 0.000 0.004 0.128
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.2074 0.75087 0.000 0.896 0.000 0.104 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.0703 0.89819 0.000 0.024 0.000 0.976 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3579 0.60656 0.756 0.000 0.000 0.004 0.240
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0963 0.81140 0.964 0.000 0.000 0.000 0.036
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0290 0.91214 0.000 0.008 0.992 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.6610 0.33239 0.224 0.340 0.000 0.000 0.436
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4404 0.47723 0.000 0.684 0.000 0.024 0.292
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.6581 0.34377 0.180 0.316 0.000 0.008 0.496
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5841 0.46503 0.020 0.628 0.260 0.000 0.092
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0794 0.81161 0.972 0.000 0.000 0.000 0.028
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.3635 0.52491 0.248 0.748 0.000 0.004 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0671 0.89663 0.000 0.016 0.000 0.980 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5703 0.36886 0.588 0.000 0.316 0.004 0.092
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.4196 0.30420 0.000 0.356 0.000 0.004 0.640
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1579 0.72797 0.000 0.944 0.000 0.032 0.024
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.91197 0.000 0.000 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.5325 0.07522 0.428 0.000 0.000 0.520 0.052
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.91742 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0162 0.91572 0.000 0.004 0.000 0.996 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0404 0.90945 0.012 0.000 0.988 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.4437 0.28874 0.532 0.000 0.000 0.004 0.464
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.4645 0.55806 0.204 0.072 0.000 0.000 0.724
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.7883 0.09215 0.072 0.344 0.000 0.248 0.336
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0963 0.81140 0.964 0.000 0.000 0.000 0.036
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0955 0.88578 0.000 0.028 0.000 0.968 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.80844 1.000 0.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4235 0.29058 0.000 0.424 0.576 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.2020 0.75111 0.000 0.900 0.000 0.100 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2706 0.81514 0.852 0.000 0.000 0.000 0.124 0.024
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.1858 0.86540 0.000 0.092 0.904 0.000 0.000 0.004
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3101 0.65698 0.000 0.244 0.756 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.0713 0.78346 0.000 0.028 0.000 0.000 0.000 0.972
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.1088 0.79766 0.000 0.000 0.000 0.016 0.960 0.024
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3037 0.79156 0.808 0.000 0.000 0.000 0.176 0.016
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.2450 0.81639 0.868 0.000 0.000 0.000 0.116 0.016
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0964 0.79114 0.968 0.012 0.000 0.000 0.016 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.2697 0.69295 0.188 0.000 0.000 0.000 0.812 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.2784 0.71820 0.000 0.124 0.000 0.000 0.028 0.848
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.2538 0.81548 0.860 0.000 0.000 0.000 0.124 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.2898 0.75082 0.016 0.000 0.000 0.060 0.868 0.056
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2809 0.71844 0.824 0.004 0.000 0.000 0.168 0.004
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.1218 0.79414 0.956 0.012 0.000 0.000 0.028 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.5254 0.29220 0.332 0.564 0.000 0.000 0.100 0.004
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.5562 0.28943 0.132 0.344 0.520 0.000 0.000 0.004
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.0865 0.78235 0.000 0.036 0.000 0.000 0.000 0.964
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3409 0.54042 0.000 0.700 0.000 0.000 0.000 0.300
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.3717 0.36302 0.000 0.616 0.000 0.000 0.000 0.384
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.3737 0.35400 0.000 0.000 0.608 0.392 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3136 0.78214 0.796 0.000 0.000 0.000 0.188 0.016
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.2313 0.75578 0.884 0.012 0.000 0.000 0.100 0.004
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.3261 0.77354 0.780 0.000 0.000 0.000 0.204 0.016
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.2445 0.74418 0.868 0.008 0.000 0.000 0.120 0.004
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.2169 0.77679 0.008 0.012 0.000 0.000 0.900 0.080
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.2520 0.79516 0.152 0.004 0.844 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.0713 0.78346 0.000 0.028 0.000 0.000 0.000 0.972
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3563 0.46511 0.000 0.664 0.000 0.000 0.000 0.336
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0405 0.81881 0.000 0.988 0.000 0.008 0.000 0.004
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.3351 0.51620 0.000 0.288 0.000 0.000 0.000 0.712
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.3213 0.73929 0.000 0.132 0.000 0.000 0.820 0.048
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.3892 0.68102 0.000 0.212 0.000 0.000 0.740 0.048
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.0790 0.79667 0.000 0.000 0.000 0.000 0.968 0.032
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0405 0.79442 0.988 0.008 0.000 0.000 0.000 0.004
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3738 0.49823 0.680 0.004 0.000 0.000 0.004 0.312
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2404 0.81693 0.872 0.000 0.000 0.000 0.112 0.016
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.4091 0.10791 0.000 0.520 0.000 0.008 0.000 0.472
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.4767 0.47183 0.168 0.000 0.000 0.000 0.156 0.676
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.3250 0.66380 0.788 0.012 0.000 0.000 0.004 0.196
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.4026 0.66982 0.636 0.000 0.000 0.000 0.348 0.016
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.0260 0.79794 0.008 0.000 0.000 0.000 0.992 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.0146 0.77701 0.000 0.004 0.000 0.000 0.000 0.996
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3765 0.17731 0.000 0.596 0.000 0.000 0.404 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3769 0.36946 0.000 0.356 0.000 0.640 0.000 0.004
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.2494 0.81628 0.864 0.000 0.000 0.000 0.120 0.016
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0837 0.79287 0.972 0.004 0.000 0.000 0.020 0.004
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.3828 0.19776 0.000 0.000 0.440 0.000 0.000 0.560
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.3374 0.77223 0.772 0.000 0.000 0.000 0.208 0.020
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.5547 0.52377 0.508 0.000 0.000 0.000 0.344 0.148
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.0260 0.79794 0.008 0.000 0.000 0.000 0.992 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.2214 0.76809 0.000 0.888 0.000 0.016 0.000 0.096
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 6 0.3961 0.15919 0.000 0.000 0.000 0.440 0.004 0.556
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2744 0.81412 0.840 0.000 0.000 0.000 0.144 0.016
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.2997 0.74091 0.096 0.000 0.000 0.000 0.844 0.060
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.2092 0.82486 0.000 0.124 0.876 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.0547 0.78422 0.000 0.020 0.000 0.000 0.000 0.980
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.2003 0.83651 0.000 0.116 0.884 0.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.2581 0.81513 0.856 0.000 0.000 0.000 0.128 0.016
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.0547 0.78422 0.000 0.020 0.000 0.000 0.000 0.980
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.3626 0.55032 0.004 0.000 0.000 0.704 0.288 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.1531 0.78458 0.004 0.000 0.000 0.000 0.928 0.068
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.2581 0.81608 0.860 0.000 0.000 0.000 0.120 0.020
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 6 0.4685 0.54413 0.000 0.240 0.000 0.000 0.096 0.664
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.2624 0.81522 0.856 0.000 0.000 0.000 0.124 0.020
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.3163 0.63827 0.780 0.212 0.000 0.000 0.004 0.004
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0405 0.81842 0.000 0.988 0.000 0.004 0.000 0.008
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.3872 0.33530 0.000 0.392 0.604 0.000 0.000 0.004
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.1895 0.77619 0.072 0.000 0.000 0.000 0.912 0.016
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#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0146 0.81836 0.000 0.996 0.000 0.004 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0810 0.79301 0.976 0.008 0.008 0.000 0.004 0.004
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0405 0.81791 0.000 0.988 0.004 0.000 0.000 0.008
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5328 0.39987 0.000 0.200 0.000 0.596 0.000 0.204
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.3390 0.51862 0.000 0.296 0.000 0.000 0.000 0.704
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0291 0.81882 0.000 0.992 0.000 0.004 0.000 0.004
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.0547 0.91199 0.000 0.020 0.000 0.980 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3213 0.65909 0.784 0.004 0.000 0.000 0.008 0.204
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.2538 0.81548 0.860 0.000 0.000 0.000 0.124 0.016
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0790 0.91503 0.000 0.032 0.968 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.4968 0.38989 0.004 0.068 0.000 0.000 0.576 0.352
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3869 -0.17503 0.000 0.500 0.000 0.000 0.500 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.4568 0.51839 0.008 0.044 0.000 0.000 0.648 0.300
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.3139 0.68246 0.032 0.816 0.000 0.000 0.152 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.2450 0.81639 0.868 0.000 0.000 0.000 0.116 0.016
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0692 0.80729 0.020 0.976 0.000 0.000 0.000 0.004
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5646 0.39954 0.588 0.008 0.232 0.000 0.168 0.004
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.0547 0.78422 0.000 0.020 0.000 0.000 0.000 0.980
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.3151 0.60466 0.000 0.748 0.000 0.000 0.000 0.252
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.5371 0.26586 0.320 0.000 0.000 0.576 0.088 0.016
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.93968 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.1888 0.87488 0.068 0.012 0.916 0.000 0.000 0.004
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.5887 -0.21670 0.392 0.000 0.000 0.000 0.200 0.408
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.2474 0.77447 0.004 0.080 0.000 0.000 0.884 0.032
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.6525 0.34679 0.000 0.076 0.000 0.132 0.500 0.292
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2538 0.81548 0.860 0.000 0.000 0.000 0.124 0.016
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.92907 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0436 0.79517 0.988 0.004 0.000 0.000 0.004 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3499 0.49547 0.000 0.680 0.320 0.000 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0146 0.81836 0.000 0.996 0.000 0.004 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 17033 rows and 424 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 0.565 0.834 0.916 0.4634 0.521 0.521
#> 3 3 0.326 0.606 0.809 0.2274 0.788 0.644
#> 4 4 0.498 0.607 0.808 0.1765 0.855 0.696
#> 5 5 0.619 0.704 0.843 0.1283 0.793 0.486
#> 6 6 0.626 0.594 0.778 0.0576 0.959 0.835
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.9933 0.0442 0.548 0.452
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0376 0.8816 0.004 0.996
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9206 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.7528 0.7341 0.784 0.216
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.3879 0.8837 0.076 0.924
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.7219 0.7492 0.800 0.200
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.8812 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0376 0.9211 0.996 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9206 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0376 0.9195 0.996 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.8812 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.8812 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.3584 0.8854 0.068 0.932
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9206 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1414 0.9164 0.980 0.020
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.9815 0.2095 0.580 0.420
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9206 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0938 0.9196 0.988 0.012
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.6343 0.8434 0.160 0.840
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.6712 0.8325 0.176 0.824
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.8081 0.7042 0.752 0.248
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.8812 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9206 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.8812 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.9206 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.7453 0.7300 0.788 0.212
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1843 0.8858 0.028 0.972
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.4815 0.8748 0.104 0.896
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.8812 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.8386 0.7382 0.268 0.732
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.8812 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9206 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.6973 0.8230 0.188 0.812
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0376 0.9195 0.996 0.004
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0376 0.9195 0.996 0.004
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9206 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0376 0.9210 0.996 0.004
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.9775 0.2378 0.412 0.588
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3431 0.8860 0.064 0.936
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.6438 0.8409 0.164 0.836
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.7299 0.8044 0.204 0.796
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.6048 0.8512 0.148 0.852
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.8812 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.9286 0.5683 0.344 0.656
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.9996 0.1191 0.488 0.512
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6887 0.8246 0.184 0.816
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0376 0.9210 0.996 0.004
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3274 0.8914 0.940 0.060
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0376 0.9211 0.996 0.004
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0376 0.9195 0.996 0.004
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.4161 0.8817 0.084 0.916
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.8812 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.9206 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0376 0.9211 0.996 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9206 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0376 0.9209 0.996 0.004
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.1843 0.9129 0.972 0.028
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.7299 0.8074 0.204 0.796
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.4939 0.8729 0.108 0.892
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0376 0.9195 0.996 0.004
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1414 0.9136 0.980 0.020
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.9000 0.5163 0.316 0.684
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9206 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0672 0.9207 0.992 0.008
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0376 0.9209 0.996 0.004
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.4298 0.8805 0.088 0.912
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.8812 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.0376 0.9211 0.996 0.004
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0376 0.9195 0.996 0.004
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9206 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.6623 0.8350 0.172 0.828
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0376 0.8816 0.004 0.996
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.3733 0.8859 0.928 0.072
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.2043 0.8862 0.032 0.968
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0376 0.9195 0.996 0.004
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.7674 0.7932 0.224 0.776
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0376 0.9211 0.996 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.8812 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 1 0.5629 0.8328 0.868 0.132
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.8327 0.6415 0.736 0.264
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#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.9206 1.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.0376 0.9211 0.996 0.004
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 1 0.0000 0.9206 1.000 0.000
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 1 0.2043 0.9095 0.968 0.032
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 1 0.0376 0.9211 0.996 0.004
#> 678726DB-073F-466D-916A-7982944A81BA 1 0.2043 0.9097 0.968 0.032
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.8386 0.7356 0.268 0.732
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 1 0.0376 0.9211 0.996 0.004
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 2 0.4298 0.8806 0.088 0.912
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.6887 0.8246 0.184 0.816
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0000 0.9206 1.000 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 2 0.0000 0.8812 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.4431 0.8797 0.092 0.908
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.0376 0.9211 0.996 0.004
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 1 0.9850 0.2318 0.572 0.428
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.0000 0.9206 1.000 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 2 0.0000 0.8812 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 1 0.0376 0.9210 0.996 0.004
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.5946 0.8532 0.144 0.856
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.4022 0.8827 0.080 0.920
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.0672 0.9206 0.992 0.008
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.9044 0.6495 0.320 0.680
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.1184 0.9182 0.984 0.016
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0938 0.9194 0.988 0.012
#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.0376 0.9211 0.996 0.004
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.0376 0.9211 0.996 0.004
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0376 0.9195 0.996 0.004
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.8909 0.5174 0.692 0.308
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.9522 0.4749 0.628 0.372
#> 577E5B95-C657-43E4-955A-4E5152901661 1 0.4022 0.8759 0.920 0.080
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.9286 0.4492 0.656 0.344
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.9206 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0376 0.9209 0.996 0.004
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.8763 0.6183 0.704 0.296
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.9206 1.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 1 0.0376 0.9211 0.996 0.004
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.8207 0.6650 0.744 0.256
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0376 0.9195 0.996 0.004
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.8812 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0376 0.9195 0.996 0.004
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.9206 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.3584 0.8852 0.068 0.932
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.8812 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.4022 0.8827 0.080 0.920
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 1 0.8443 0.6320 0.728 0.272
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 1 0.9815 0.2050 0.580 0.420
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 1 0.5178 0.8471 0.884 0.116
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.2948 0.9002 0.948 0.052
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.8812 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.9206 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.6148 0.8124 0.848 0.152
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.6887 0.8246 0.184 0.816
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.4161 0.8741 0.916 0.084
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 1 0.5408 0.8361 0.876 0.124
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.7453 0.8013 0.212 0.788
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0938 0.9196 0.988 0.012
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.2423 0.8866 0.040 0.960
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.7528 0.7977 0.216 0.784
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.0938 0.9196 0.988 0.012
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.6887 0.8246 0.184 0.816
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9206 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.1633 0.8852 0.024 0.976
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.8812 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.0672 0.9206 0.992 0.008
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.9206 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.2603 0.8870 0.044 0.956
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9206 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.0000 0.9206 1.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.3274 0.8938 0.940 0.060
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.4815 0.8613 0.896 0.104
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0000 0.9206 1.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.9206 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0376 0.9211 0.996 0.004
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0376 0.9195 0.996 0.004
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.9206 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.8812 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0376 0.9211 0.996 0.004
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0938 0.9158 0.988 0.012
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.6623 0.8348 0.172 0.828
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.0376 0.9211 0.996 0.004
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.8812 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.5059 0.8493 0.888 0.112
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.6148 0.8205 0.848 0.152
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.9427 0.5038 0.640 0.360
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.8443 0.7260 0.272 0.728
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9206 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.2423 0.8867 0.040 0.960
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0672 0.9206 0.992 0.008
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.7219 0.7485 0.800 0.200
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.8812 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0376 0.9195 0.996 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.1633 0.9130 0.976 0.024
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.8812 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.4022 0.8827 0.080 0.920
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0376 0.9195 0.996 0.004
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0938 0.9192 0.988 0.012
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0938 0.9196 0.988 0.012
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0376 0.9195 0.996 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.2423 0.8699 0.040 0.960
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.8812 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.6801 0.8282 0.180 0.820
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0376 0.9195 0.996 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0938 0.9191 0.988 0.012
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.8909 0.6094 0.308 0.692
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.0376 0.9211 0.996 0.004
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.4431 0.8671 0.908 0.092
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.3879 0.8487 0.076 0.924
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3584 0.8853 0.932 0.068
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.3274 0.8894 0.940 0.060
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.1184 0.9184 0.984 0.016
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.9993 0.1343 0.484 0.516
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.6973 0.8220 0.188 0.812
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.7299 0.8089 0.204 0.796
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.0376 0.9211 0.996 0.004
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.2236 0.9075 0.964 0.036
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5178 0.8682 0.116 0.884
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.9491 0.3753 0.632 0.368
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.8812 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4815 0.8746 0.104 0.896
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.9580 0.5351 0.380 0.620
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.0672 0.9206 0.992 0.008
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.8812 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.8812 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9206 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0376 0.9195 0.996 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.8812 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.3431 0.8853 0.064 0.936
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.7139 0.7556 0.804 0.196
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.4298 0.8803 0.088 0.912
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.6887 0.8246 0.184 0.816
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.9977 0.0493 0.528 0.472
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2236 0.8865 0.036 0.964
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9922 0.1487 0.552 0.448
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0376 0.9195 0.996 0.004
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0376 0.9211 0.996 0.004
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.8812 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0938 0.9196 0.988 0.012
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.6973 0.8208 0.188 0.812
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5408 0.8426 0.876 0.124
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0672 0.9206 0.992 0.008
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.8955 0.5233 0.688 0.312
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5408 0.8652 0.124 0.876
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.0376 0.9211 0.996 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2236 0.8867 0.036 0.964
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0376 0.9211 0.996 0.004
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.8812 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.6801 0.8301 0.180 0.820
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.4939 0.8562 0.892 0.108
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0376 0.9211 0.996 0.004
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0938 0.9199 0.988 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.9754 0.3071 0.592 0.408
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0672 0.9200 0.992 0.008
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.8081 0.6717 0.752 0.248
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0376 0.9195 0.996 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.7745 0.7272 0.228 0.772
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.0376 0.9211 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.8137 0.4235 0.140 0.640 0.220
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4059 0.7495 0.128 0.012 0.860
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 2 0.5363 0.4522 0.276 0.724 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.3619 0.6894 0.000 0.864 0.136
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3213 0.7882 0.008 0.092 0.900
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.3987 0.6961 0.020 0.872 0.108
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8009 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.0892 0.7119 0.020 0.980 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4121 0.6086 0.168 0.832 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3619 0.8690 0.864 0.136 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8009 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8009 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 3 0.7918 0.6994 0.136 0.204 0.660
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4121 0.6086 0.168 0.832 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.6053 0.5079 0.260 0.720 0.020
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.5292 0.5958 0.008 0.764 0.228
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.6307 0.2909 0.512 0.488 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.1482 0.7149 0.020 0.968 0.012
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 3 0.9022 0.3770 0.136 0.384 0.480
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 3 0.9069 0.2497 0.136 0.424 0.440
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.9487 0.3852 0.476 0.320 0.204
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8009 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.4062 0.6133 0.164 0.836 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8009 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.1964 0.6989 0.056 0.944 0.000
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#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.2187 0.7742 0.028 0.024 0.948
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.7189 0.4077 0.292 0.656 0.052
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.5688 0.6180 0.168 0.788 0.044
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0892 0.7162 0.000 0.980 0.020
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.8399 0.3656 0.136 0.608 0.256
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.8800 -0.0505 0.116 0.488 0.396
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.8730 -0.0113 0.112 0.500 0.388
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1315 0.7122 0.020 0.972 0.008
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.6026 0.5182 0.244 0.732 0.024
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.6540 0.4128 0.008 0.408 0.584
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4473 0.6481 0.008 0.828 0.164
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8009 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.5656 0.6947 0.008 0.264 0.728
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5958 0.4472 0.008 0.692 0.300
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.2165 0.7045 0.064 0.936 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8009 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.8009 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.4504 0.5804 0.196 0.804 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.3619 0.8690 0.864 0.136 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8009 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1964 0.7962 0.000 0.056 0.944
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4045 0.6979 0.024 0.872 0.104
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 3 0.8546 0.5946 0.136 0.276 0.588
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 3 0.6683 0.1436 0.008 0.496 0.496
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.8901 0.3854 0.232 0.572 0.196
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 3 0.7163 0.7356 0.136 0.144 0.720
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5618 0.5521 0.008 0.732 0.260
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.6079 0.5465 0.612 0.388 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1129 0.7110 0.020 0.976 0.004
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.8009 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.3983 0.6597 0.144 0.852 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.9043 -0.1053 0.136 0.468 0.396
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.3771 0.6985 0.012 0.876 0.112
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.1337 0.7138 0.016 0.972 0.012
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.7163 0.5666 0.136 0.720 0.144
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.6379 0.5253 0.008 0.368 0.624
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.3267 0.6817 0.116 0.884 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.7043 0.7392 0.136 0.136 0.728
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1529 0.7103 0.040 0.960 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8009 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.9065 -0.1826 0.136 0.448 0.416
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.3043 0.7071 0.008 0.908 0.084
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.3644 0.6624 0.124 0.872 0.004
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0592 0.7153 0.000 0.988 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5977 0.5646 0.020 0.728 0.252
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4062 0.8516 0.836 0.164 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.6793 0.5959 0.128 0.744 0.128
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.5529 0.4065 0.296 0.704 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.6416 0.5019 0.008 0.376 0.616
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0661 0.7146 0.004 0.988 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.1022 0.8067 0.000 0.032 0.000 0.968
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4382 0.4801 0.000 0.000 0.296 0.704
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6542 0.5511 0.000 0.620 0.128 0.252
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.2909 0.7082 0.000 0.092 0.888 0.020
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.3521 0.6974 0.000 0.864 0.084 0.052
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.0188 0.7209 0.000 0.996 0.000 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.1022 0.8137 0.000 0.000 0.032 0.968
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.3819 0.6395 0.172 0.816 0.008 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.7098 0.3298 0.000 0.492 0.132 0.376
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.4996 -0.0571 0.484 0.516 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.0376 0.7213 0.000 0.992 0.004 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0188 0.8164 0.000 0.000 0.004 0.996
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.8152 0.000 0.000 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.7521 0.2837 0.488 0.292 0.220 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.2179 0.7065 0.064 0.924 0.000 0.012
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0921 0.7154 0.028 0.972 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.6298 0.5471 0.000 0.632 0.100 0.268
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.2399 0.7294 0.000 0.032 0.920 0.048
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.7344 0.3683 0.000 0.188 0.512 0.300
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 3 0.7905 0.1336 0.000 0.332 0.364 0.304
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4522 0.3805 0.000 0.000 0.680 0.320
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0188 0.8164 0.000 0.000 0.004 0.996
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.2408 0.6842 0.104 0.896 0.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.4843 0.3187 0.396 0.604 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6682 0.4165 0.312 0.576 0.000 0.112
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3528 0.6015 0.000 0.192 0.808 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 3 0.6808 0.4293 0.000 0.128 0.572 0.300
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 3 0.7671 0.2941 0.000 0.244 0.456 0.300
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 3 0.7909 0.1397 0.000 0.312 0.364 0.324
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0817 0.8156 0.000 0.000 0.024 0.976
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.7146 0.2531 0.000 0.276 0.176 0.548
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.6851 0.4792 0.000 0.568 0.132 0.300
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 3 0.7790 0.2469 0.000 0.272 0.424 0.304
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.4382 0.4814 0.296 0.704 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.2965 0.6962 0.072 0.892 0.036 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.1118 0.7128 0.036 0.964 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.4127 0.6715 0.000 0.124 0.824 0.052
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.1211 0.7113 0.040 0.960 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3583 0.6775 0.816 0.180 0.000 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.4074 0.6199 0.196 0.792 0.004 0.008
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.1798 0.7226 0.000 0.944 0.016 0.040
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 3 0.7707 0.2768 0.000 0.276 0.452 0.272
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.5897 0.5612 0.000 0.164 0.136 0.700
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5497 0.0223 0.524 0.460 0.016 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.2888 0.6689 0.000 0.124 0.872 0.004
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 2 0.1940 0.6973 0.076 0.924 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.1489 0.7116 0.044 0.952 0.004 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.2266 0.6914 0.084 0.912 0.004 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 3 0.7222 0.3870 0.000 0.172 0.528 0.300
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.2654 0.7186 0.004 0.888 0.000 0.108
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0336 0.8292 0.992 0.008 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.1059 0.7220 0.012 0.972 0.000 0.016
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0804 0.8108 0.000 0.012 0.008 0.980
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.5344 0.5803 0.000 0.668 0.032 0.300
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.1584 0.7418 0.000 0.036 0.952 0.012
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 3 0.7911 0.0718 0.000 0.348 0.348 0.304
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.4277 0.4585 0.000 0.720 0.000 0.280
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0188 0.8159 0.000 0.004 0.000 0.996
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.8640 0.3618 0.288 0.464 0.060 0.188
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.1637 0.7027 0.060 0.940 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.5929 0.5594 0.000 0.640 0.064 0.296
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.1637 0.7022 0.060 0.940 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.8152 0.000 0.000 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.7805 0.2436 0.000 0.280 0.420 0.300
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.7769 0.2384 0.000 0.272 0.432 0.296
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.1022 0.8137 0.000 0.000 0.032 0.968
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.4950 0.3515 0.376 0.620 0.000 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.1890 0.7255 0.000 0.936 0.008 0.056
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 2 0.5774 0.0905 0.484 0.492 0.004 0.020
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.4222 0.6153 0.000 0.728 0.000 0.272
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.6933 0.4704 0.000 0.560 0.140 0.300
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.4574 0.5804 0.000 0.024 0.756 0.220
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.0592 0.7192 0.016 0.984 0.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0188 0.7554 0.000 0.000 0.996 0.004
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 2 0.4961 0.0286 0.000 0.552 0.000 0.448
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.5910 0.5438 0.000 0.236 0.676 0.088
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 2 0.1716 0.6998 0.064 0.936 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.7796 0.0326 0.000 0.292 0.284 0.424
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0817 0.8161 0.000 0.000 0.024 0.976
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.7012 0.4726 0.000 0.560 0.156 0.284
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 2 0.5887 0.3762 0.360 0.600 0.036 0.004
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.6222 0.5325 0.000 0.616 0.080 0.304
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0779 0.8117 0.000 0.016 0.004 0.980
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.3552 0.6839 0.000 0.128 0.848 0.024
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.4382 0.6005 0.000 0.704 0.000 0.296
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.7569 0.000 0.000 1.000 0.000
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#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 4 0.0188 0.8164 0.000 0.000 0.004 0.996
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 2 0.0336 0.7191 0.008 0.992 0.000 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.6425 0.5212 0.000 0.604 0.096 0.300
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.4539 0.5315 0.272 0.720 0.000 0.008
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 4 0.1389 0.7958 0.000 0.048 0.000 0.952
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 4 0.1022 0.8137 0.000 0.000 0.032 0.968
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.3999 0.6699 0.000 0.140 0.824 0.036
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.0524 0.7220 0.004 0.988 0.000 0.008
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.7571 0.3293 0.000 0.484 0.244 0.272
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.4482 0.6194 0.000 0.728 0.008 0.264
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 2 0.4991 0.4374 0.316 0.672 0.008 0.004
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.0188 0.7197 0.004 0.996 0.000 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 4 0.4222 0.4661 0.000 0.272 0.000 0.728
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0817 0.8183 0.976 0.024 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.7800 0.3886 0.300 0.504 0.016 0.180
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 3 0.6336 -0.0942 0.460 0.060 0.480 0.000
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.5358 0.6087 0.000 0.700 0.048 0.252
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.5698 0.5490 0.000 0.636 0.044 0.320
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 2 0.2081 0.6871 0.084 0.916 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 2 0.2714 0.6904 0.112 0.884 0.004 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.0336 0.8287 0.992 0.000 0.008 0.000
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.3907 0.6192 0.768 0.232 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.4134 0.6238 0.000 0.740 0.000 0.260
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.6162 0.5399 0.000 0.620 0.076 0.304
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.4624 0.4107 0.660 0.340 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.6680 0.4637 0.000 0.136 0.604 0.260
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 3 0.6815 0.4360 0.000 0.136 0.580 0.284
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.6022 0.5749 0.000 0.656 0.084 0.260
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.6280 0.5277 0.000 0.612 0.084 0.304
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.5696 0.6158 0.000 0.692 0.076 0.232
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.6013 0.4316 0.312 0.624 0.064 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.1792 0.6975 0.068 0.932 0.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6316 0.5337 0.000 0.612 0.088 0.300
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.7677 0.2874 0.000 0.268 0.460 0.272
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.2494 0.7144 0.000 0.916 0.048 0.036
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.5546 0.5770 0.000 0.664 0.044 0.292
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 3 0.8043 0.1501 0.004 0.316 0.380 0.300
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.5161 0.1499 0.000 0.476 0.004 0.520
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.1284 0.7461 0.000 0.024 0.964 0.012
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.5361 0.5102 0.000 0.224 0.060 0.716
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.4343 0.6199 0.000 0.732 0.004 0.264
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.7780 0.2533 0.000 0.272 0.428 0.300
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.5000 -0.0891 0.500 0.500 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.2814 0.7047 0.000 0.000 0.132 0.868
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.3219 0.6890 0.000 0.836 0.000 0.164
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 2 0.5168 0.0662 0.496 0.500 0.000 0.004
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 3 0.5429 0.5833 0.000 0.072 0.720 0.208
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.4697 0.3990 0.356 0.644 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.5463 0.6743 0.100 0.780 0.044 0.076
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.2342 0.7043 0.008 0.912 0.080 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.4776 0.3512 0.376 0.624 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.3688 0.6623 0.000 0.792 0.000 0.208
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.0817 0.7159 0.024 0.976 0.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.1118 0.7121 0.036 0.964 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.5168 -0.0769 0.500 0.496 0.004 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0188 0.8164 0.000 0.000 0.004 0.996
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.1398 0.7145 0.004 0.956 0.000 0.040
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.3998 0.6956 0.060 0.852 0.076 0.012
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 2 0.6393 0.5049 0.188 0.652 0.160 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.6140 0.0716 0.048 0.500 0.452 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.7855 0.1259 0.000 0.400 0.300 0.300
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.5890 0.4990 0.000 0.072 0.660 0.268
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.0376 0.7203 0.004 0.992 0.000 0.004
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.3764 0.7000 0.000 0.852 0.076 0.072
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 2 0.6209 0.1138 0.468 0.492 0.020 0.020
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.6280 0.3216 0.000 0.084 0.304 0.612
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.2660 0.6982 0.072 0.908 0.012 0.008
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.0376 0.7206 0.004 0.992 0.004 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0921 0.8144 0.000 0.000 0.028 0.972
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5577 -0.1030 0.492 0.492 0.004 0.012
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.7627 0.3045 0.000 0.240 0.468 0.292
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0188 0.7197 0.004 0.996 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.5592 0.5926 0.000 0.680 0.056 0.264
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.3144 0.6942 0.072 0.884 0.044 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3150 0.6980 0.072 0.888 0.036 0.004
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4482 0.6190 0.000 0.728 0.008 0.264
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.8152 0.000 0.000 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.2675 0.7657 0.000 0.048 0.044 0.908
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.2919 0.7571 0.000 0.060 0.044 0.896
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0188 0.7197 0.004 0.996 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.2670 0.6980 0.072 0.904 0.024 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.7050 0.4014 0.000 0.156 0.552 0.292
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5897 0.4833 0.000 0.588 0.044 0.368
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.7344 0.3683 0.000 0.188 0.512 0.300
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.7049 0.4393 0.000 0.548 0.152 0.300
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4382 0.4223 0.000 0.704 0.000 0.296
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1637 0.7323 0.000 0.060 0.940 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.6772 0.5544 0.024 0.604 0.068 0.304
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.1389 0.7952 0.000 0.000 0.048 0.952
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 3 0.7677 0.2874 0.000 0.268 0.460 0.272
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.9130 0.3229 0.284 0.420 0.092 0.204
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.1118 0.8045 0.000 0.000 0.036 0.964
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.6792 0.4942 0.000 0.588 0.140 0.272
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4804 0.3709 0.616 0.384 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0188 0.7197 0.004 0.996 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.4193 0.4731 0.000 0.268 0.000 0.732
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0921 0.8144 0.000 0.000 0.028 0.972
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.2546 0.7027 0.000 0.900 0.092 0.008
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0921 0.7215 0.000 0.972 0.000 0.028
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0707 0.8121 0.000 0.020 0.000 0.980
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.7493 0.3366 0.000 0.208 0.488 0.304
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4989 -0.0572 0.000 0.528 0.000 0.472
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3024 0.7034 0.000 0.000 0.148 0.852
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1661 0.7075 0.004 0.944 0.000 0.052
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.7569 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.1109 0.8146 0.000 0.004 0.028 0.968
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6232 0.5891 0.004 0.656 0.092 0.248
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.0188 0.7198 0.004 0.996 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4509 0.6066 0.000 0.708 0.004 0.288
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.7260 0.3020 0.000 0.464 0.148 0.388
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.8337 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0469 0.8143 0.000 0.012 0.000 0.988
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.1867 0.6951 0.072 0.928 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.6685 0.4510 0.000 0.132 0.600 0.268
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4193 0.6184 0.000 0.732 0.000 0.268
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.1205 0.7989 0.004 0.040 0.000 0.000 0.956
#> C3B7657E-B340-4808-86D9-277E661D48DD 5 0.6152 0.1993 0.000 0.324 0.152 0.000 0.524
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3661 0.5972 0.000 0.276 0.724 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4630 0.2310 0.000 0.588 0.016 0.000 0.396
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.1965 0.7825 0.000 0.096 0.000 0.000 0.904
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.0703 0.8001 0.000 0.024 0.000 0.000 0.976
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1282 0.8833 0.952 0.004 0.000 0.000 0.044
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8996 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 5 0.0794 0.8005 0.000 0.028 0.000 0.000 0.972
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#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.2074 0.8209 0.000 0.104 0.896 0.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.3693 0.6760 0.000 0.804 0.016 0.168 0.012
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.3983 0.5684 0.000 0.660 0.000 0.000 0.340
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.2054 0.7633 0.000 0.920 0.028 0.000 0.052
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 5 0.4599 0.3614 0.384 0.016 0.000 0.000 0.600
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.4443 0.1522 0.000 0.524 0.004 0.000 0.472
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 5 0.5946 0.3057 0.380 0.112 0.000 0.000 0.508
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.4201 0.2052 0.000 0.592 0.408 0.000 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 5 0.0865 0.8005 0.004 0.024 0.000 0.000 0.972
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 5 0.3977 0.6893 0.204 0.032 0.000 0.000 0.764
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.5508 0.2196 0.048 0.528 0.008 0.000 0.416
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 5 0.3130 0.7674 0.000 0.048 0.096 0.000 0.856
#> 229B786F-7955-409B-A85D-A33D5810F519 5 0.2929 0.7045 0.000 0.180 0.000 0.000 0.820
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.4210 0.6411 0.224 0.036 0.000 0.000 0.740
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.4307 0.1397 0.000 0.504 0.000 0.000 0.496
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9035 1.000 0.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.0880 0.8004 0.000 0.032 0.000 0.000 0.968
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.0880 0.8004 0.000 0.032 0.000 0.000 0.968
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.5384 0.3737 0.384 0.044 0.008 0.000 0.564
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 5 0.1041 0.8015 0.000 0.032 0.000 0.004 0.964
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 5 0.3409 0.7211 0.000 0.160 0.024 0.000 0.816
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 5 0.5869 0.5585 0.164 0.020 0.160 0.000 0.656
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 5 0.4816 0.0805 0.008 0.008 0.488 0.000 0.496
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.1725 0.7630 0.000 0.936 0.020 0.000 0.044
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.1469 0.8030 0.016 0.036 0.000 0.000 0.948
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.3424 0.6077 0.000 0.760 0.240 0.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.1608 0.7964 0.000 0.072 0.000 0.000 0.928
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.4622 0.2099 0.000 0.548 0.012 0.000 0.440
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.8996 0.000 0.000 1.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9035 1.000 0.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.6612 0.1694 0.372 0.216 0.000 0.000 0.412
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.6507 0.3234 0.000 0.488 0.268 0.244 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9035 1.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.1525 0.8031 0.000 0.036 0.004 0.012 0.948
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.1851 0.7802 0.000 0.088 0.000 0.000 0.912
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0912 0.8966 0.972 0.012 0.000 0.000 0.016
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0162 0.8980 0.000 0.004 0.996 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9035 1.000 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.6214 0.2700 0.380 0.144 0.000 0.000 0.476
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.5799 0.1795 0.000 0.492 0.416 0.000 0.092
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 5 0.1121 0.8008 0.000 0.044 0.000 0.000 0.956
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4127 0.5703 0.000 0.680 0.008 0.000 0.312
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0324 0.8959 0.004 0.004 0.992 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 5 0.1285 0.8019 0.004 0.036 0.004 0.000 0.956
#> D6517B16-37E4-4342-9639-7C8C652A01A2 5 0.2470 0.7763 0.012 0.104 0.000 0.000 0.884
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4196 0.5136 0.000 0.640 0.004 0.000 0.356
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.3320 0.7340 0.000 0.164 0.012 0.820 0.004
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.4401 0.5232 0.000 0.296 0.016 0.684 0.004
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 5 0.1270 0.7982 0.000 0.052 0.000 0.000 0.948
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.1461 0.8002 0.004 0.028 0.016 0.000 0.952
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.3064 0.7467 0.000 0.856 0.108 0.000 0.036
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2674 0.7493 0.000 0.868 0.012 0.000 0.120
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0963 0.7485 0.000 0.964 0.036 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.2127 0.7536 0.000 0.892 0.000 0.000 0.108
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 5 0.3878 0.6522 0.000 0.016 0.000 0.236 0.748
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.8996 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.0955 0.8005 0.004 0.028 0.000 0.000 0.968
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9035 1.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1668 0.8583 0.000 0.032 0.940 0.000 0.028
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1914 0.7632 0.000 0.924 0.016 0.000 0.060
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3918 0.7390 0.000 0.804 0.100 0.000 0.096
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.4196 0.6447 0.192 0.768 0.016 0.000 0.024
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5099 0.5032 0.000 0.612 0.052 0.000 0.336
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4624 0.4775 0.636 0.024 0.000 0.000 0.340
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.1121 0.7998 0.000 0.044 0.000 0.000 0.956
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.8996 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.3882 0.7042 0.000 0.168 0.044 0.000 0.788
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.4009 0.5912 0.000 0.312 0.004 0.000 0.684
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0693 0.9056 0.000 0.008 0.000 0.980 0.012
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0955 0.7514 0.000 0.968 0.028 0.000 0.004
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4305 -0.0229 0.000 0.000 0.000 0.512 0.488
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.0992 0.8014 0.000 0.024 0.000 0.008 0.968
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0162 0.9013 0.000 0.004 0.996 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.9233 0.000 0.000 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 5 0.4527 0.5395 0.000 0.260 0.040 0.000 0.700
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.1197 0.8018 0.000 0.048 0.000 0.000 0.952
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.3366 0.6669 0.000 0.768 0.000 0.000 0.232
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3331 0.7559 0.000 0.864 0.024 0.044 0.068
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0162 0.9020 0.996 0.000 0.000 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.1043 0.8895 0.000 0.040 0.000 0.960 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.0865 0.8005 0.004 0.024 0.000 0.000 0.972
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5887 0.1848 0.000 0.476 0.424 0.000 0.100
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3534 0.6542 0.000 0.744 0.000 0.000 0.256
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 2 0.3592 0.39057 0.000 0.656 0.000 0.000 0.344 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.5942 0.17900 0.000 0.524 0.108 0.000 0.036 0.332
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3799 0.57916 0.000 0.000 0.704 0.000 0.020 0.276
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.5778 0.19163 0.000 0.304 0.000 0.000 0.204 0.492
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.3678 0.61409 0.000 0.788 0.000 0.000 0.128 0.084
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.0937 0.63900 0.000 0.960 0.000 0.000 0.040 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4563 0.56789 0.628 0.056 0.000 0.000 0.316 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0146 0.88938 0.000 0.000 0.996 0.000 0.004 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.1644 0.62675 0.000 0.920 0.000 0.000 0.076 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.5824 0.31928 0.156 0.592 0.000 0.000 0.220 0.032
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.2962 0.72100 0.000 0.068 0.000 0.000 0.084 0.848
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.4835 0.27088 0.336 0.592 0.000 0.000 0.072 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.3627 0.62020 0.000 0.792 0.000 0.000 0.128 0.080
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.6425 0.50532 0.340 0.140 0.052 0.000 0.468 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.3914 0.60264 0.000 0.768 0.000 0.000 0.104 0.128
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2362 0.63579 0.000 0.860 0.000 0.000 0.004 0.136
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.5715 0.52952 0.000 0.276 0.072 0.000 0.060 0.592
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.5839 0.05757 0.000 0.000 0.408 0.000 0.188 0.404
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.2179 0.70466 0.000 0.000 0.064 0.000 0.036 0.900
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.1663 0.72714 0.000 0.088 0.000 0.000 0.000 0.912
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.3592 0.48393 0.000 0.000 0.656 0.344 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1663 0.63852 0.912 0.000 0.000 0.000 0.088 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.3650 0.53413 0.024 0.756 0.000 0.000 0.216 0.004
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0547 0.69694 0.980 0.000 0.000 0.000 0.020 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.6120 -0.57411 0.304 0.348 0.000 0.000 0.348 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.7206 0.50537 0.296 0.176 0.000 0.000 0.404 0.124
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.4476 0.47670 0.000 0.052 0.640 0.000 0.308 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.2122 0.70286 0.000 0.000 0.024 0.000 0.076 0.900
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.0405 0.71455 0.000 0.000 0.004 0.000 0.008 0.988
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 6 0.1168 0.71966 0.000 0.016 0.000 0.000 0.028 0.956
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.1409 0.71887 0.000 0.008 0.000 0.012 0.032 0.948
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 6 0.2572 0.68920 0.000 0.012 0.000 0.000 0.136 0.852
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 6 0.1398 0.71623 0.000 0.008 0.000 0.000 0.052 0.940
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.6280 0.40601 0.264 0.260 0.000 0.000 0.460 0.016
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.3841 0.34375 0.000 0.616 0.000 0.000 0.380 0.004
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#> B9D00918-34DC-4061-AC22-C5E2D5099D30 6 0.3986 0.25385 0.000 0.464 0.000 0.000 0.004 0.532
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.70845 1.000 0.000 0.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.0937 0.65807 0.000 0.960 0.000 0.000 0.000 0.040
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.1408 0.65933 0.000 0.944 0.000 0.000 0.036 0.020
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.4563 0.28051 0.056 0.284 0.004 0.000 0.656 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.1387 0.65558 0.000 0.932 0.000 0.000 0.000 0.068
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.3984 0.61100 0.000 0.776 0.008 0.000 0.092 0.124
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 2 0.6364 0.07553 0.044 0.448 0.140 0.000 0.368 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5185 0.16078 0.000 0.512 0.396 0.000 0.092 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 6 0.1367 0.71951 0.000 0.012 0.000 0.000 0.044 0.944
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 2 0.1528 0.63860 0.016 0.936 0.000 0.000 0.048 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 6 0.2527 0.65525 0.000 0.000 0.168 0.000 0.000 0.832
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.3344 0.62960 0.000 0.804 0.000 0.000 0.152 0.044
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 6 0.4911 0.11610 0.000 0.412 0.000 0.000 0.064 0.524
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0458 0.88128 0.000 0.000 0.984 0.000 0.016 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.3244 0.61218 0.732 0.000 0.000 0.000 0.268 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.6323 0.54851 0.340 0.140 0.000 0.000 0.476 0.044
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 6 0.5754 0.35853 0.000 0.000 0.248 0.240 0.000 0.512
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.3244 0.61218 0.732 0.000 0.000 0.000 0.268 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.2070 0.64751 0.000 0.892 0.000 0.000 0.100 0.008
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.3464 0.61969 0.000 0.808 0.000 0.000 0.108 0.084
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.4205 0.54384 0.564 0.016 0.000 0.000 0.420 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0937 0.86794 0.000 0.000 0.960 0.000 0.040 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.70845 1.000 0.000 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.5472 0.49002 0.340 0.092 0.000 0.000 0.552 0.016
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.6043 0.28965 0.000 0.112 0.364 0.000 0.036 0.488
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.1745 0.65991 0.000 0.924 0.000 0.000 0.020 0.056
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.4357 0.48180 0.000 0.340 0.000 0.000 0.036 0.624
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3531 0.52859 0.000 0.000 0.672 0.000 0.328 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.3830 0.34716 0.000 0.620 0.000 0.000 0.376 0.004
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3062 0.62322 0.000 0.836 0.000 0.000 0.112 0.052
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 6 0.3499 0.54843 0.000 0.320 0.000 0.000 0.000 0.680
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.2632 0.72319 0.000 0.000 0.000 0.832 0.004 0.164
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.3653 0.54208 0.000 0.000 0.000 0.692 0.008 0.300
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1444 0.65501 0.000 0.928 0.000 0.000 0.000 0.072
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.3672 0.35186 0.000 0.632 0.000 0.000 0.368 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 6 0.1845 0.72109 0.000 0.028 0.052 0.000 0.000 0.920
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 6 0.3025 0.70666 0.000 0.156 0.000 0.000 0.024 0.820
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.0363 0.71369 0.000 0.000 0.000 0.000 0.012 0.988
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.2219 0.71264 0.000 0.136 0.000 0.000 0.000 0.864
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3897 0.48774 0.000 0.696 0.000 0.280 0.000 0.024
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.3464 0.41970 0.000 0.688 0.000 0.000 0.312 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.70845 1.000 0.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1801 0.83439 0.000 0.056 0.924 0.000 0.016 0.004
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.1563 0.72462 0.000 0.056 0.000 0.000 0.012 0.932
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 6 0.4593 0.65709 0.000 0.056 0.080 0.000 0.112 0.752
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.4969 0.37249 0.284 0.008 0.000 0.000 0.080 0.628
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.5482 0.49636 0.000 0.284 0.044 0.000 0.068 0.604
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.5948 0.25946 0.428 0.224 0.000 0.000 0.348 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1444 0.65501 0.000 0.928 0.000 0.000 0.000 0.072
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0632 0.87803 0.000 0.000 0.976 0.000 0.024 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.3962 0.59253 0.000 0.752 0.044 0.000 0.008 0.196
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.5827 0.30622 0.000 0.476 0.000 0.000 0.208 0.316
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0291 0.88770 0.000 0.004 0.000 0.992 0.000 0.004
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.0692 0.71475 0.000 0.004 0.000 0.000 0.020 0.976
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3860 0.00898 0.000 0.472 0.000 0.528 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1492 0.66086 0.000 0.940 0.000 0.024 0.000 0.036
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.89188 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.89385 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.4511 0.43686 0.000 0.672 0.016 0.000 0.036 0.276
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.2494 0.64052 0.000 0.864 0.000 0.000 0.120 0.016
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.3763 0.67423 0.000 0.172 0.000 0.000 0.060 0.768
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.3419 0.71492 0.000 0.060 0.012 0.056 0.024 0.848
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.70845 1.000 0.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0713 0.87079 0.000 0.000 0.000 0.972 0.000 0.028
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.3563 0.37760 0.000 0.664 0.000 0.000 0.336 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 6 0.5086 0.27882 0.000 0.084 0.384 0.000 0.000 0.532
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 6 0.3190 0.65868 0.000 0.220 0.000 0.000 0.008 0.772
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17033 rows and 424 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 0.241 0.452 0.713 0.3688 0.500 0.500
#> 3 3 0.449 0.728 0.859 0.5874 0.788 0.620
#> 4 4 0.448 0.448 0.715 0.1940 0.882 0.720
#> 5 5 0.459 0.344 0.636 0.0942 0.836 0.544
#> 6 6 0.512 0.346 0.616 0.0551 0.861 0.494
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3879 0.6409 0.076 0.924
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.1184 0.6665 0.016 0.984
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.9732 0.6081 0.596 0.404
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.9896 -0.0863 0.440 0.560
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.9491 0.1461 0.368 0.632
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.9993 -0.3828 0.484 0.516
#> FAE38724-0757-45E5-818D-9DFE1C132796 1 0.8386 0.1201 0.732 0.268
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.9909 0.5385 0.556 0.444
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.9635 0.6268 0.612 0.388
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.9552 0.6305 0.624 0.376
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 1 0.9129 0.2095 0.672 0.328
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 1 0.9977 -0.0211 0.528 0.472
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0938 0.6674 0.012 0.988
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.9491 0.6302 0.632 0.368
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.9775 0.6041 0.588 0.412
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.6629 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.9661 0.6249 0.608 0.392
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.9833 0.5851 0.576 0.424
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0938 0.6674 0.012 0.988
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0938 0.6674 0.012 0.988
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.9491 0.6302 0.632 0.368
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 1 0.8386 0.1201 0.732 0.268
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.9491 0.6302 0.632 0.368
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 1 0.8386 0.1201 0.732 0.268
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.9635 0.6268 0.612 0.388
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.9866 -0.0496 0.432 0.568
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.5294 0.6187 0.120 0.880
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1414 0.6598 0.020 0.980
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#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9686 0.6239 0.604 0.396
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.9522 0.6305 0.628 0.372
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.9795 0.6103 0.584 0.416
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 1 0.8955 0.2765 0.688 0.312
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.9000 0.3006 0.316 0.684
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.9087 0.2827 0.324 0.676
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.9608 0.6221 0.616 0.384
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.9775 -0.1171 0.412 0.588
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0938 0.6674 0.012 0.988
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0376 0.6637 0.004 0.996
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 1.0000 -0.4077 0.500 0.500
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0938 0.6674 0.012 0.988
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9775 0.6015 0.588 0.412
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 1 0.8386 0.1201 0.732 0.268
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0938 0.6674 0.012 0.988
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.9909 -0.0856 0.444 0.556
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.9866 0.5892 0.568 0.432
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.9866 0.5772 0.568 0.432
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.8713 0.3937 0.292 0.708
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.9635 0.6268 0.612 0.388
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5737 0.6103 0.136 0.864
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.9522 0.6305 0.628 0.372
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.9491 0.1400 0.368 0.632
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.9881 0.5628 0.564 0.436
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.5178 0.71328 0.256 0.744 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.5058 0.72088 0.244 0.756 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0592 0.84903 0.988 0.012 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6295 0.09717 0.472 0.528 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.2356 0.76887 0.072 0.928 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.5016 0.62098 0.240 0.760 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.94643 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.2448 0.80957 0.924 0.076 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.85057 1.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.85057 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 1 0.7153 0.51183 0.652 0.048 0.300
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.6253 0.65015 0.036 0.232 0.732
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5058 0.72088 0.244 0.756 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0424 0.84971 0.992 0.008 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.85057 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0892 0.76782 0.020 0.980 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.85057 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2066 0.81973 0.940 0.060 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5058 0.72088 0.244 0.756 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5058 0.72088 0.244 0.756 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.85057 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.94643 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0892 0.84635 0.980 0.020 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.94643 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.1163 0.84335 0.972 0.028 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.6045 0.46976 0.620 0.380 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1529 0.77282 0.040 0.960 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1289 0.77034 0.032 0.968 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.94643 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0892 0.76782 0.020 0.980 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.7424 0.55333 0.388 0.572 0.040
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.85057 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5058 0.72088 0.244 0.756 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0747 0.84767 0.984 0.016 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.85057 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.85057 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.2537 0.81539 0.920 0.080 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.6274 0.18760 0.544 0.000 0.456
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.1860 0.77247 0.052 0.948 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0747 0.76593 0.016 0.984 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.5254 0.71261 0.264 0.736 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5058 0.72088 0.244 0.756 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.94643 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0747 0.76593 0.016 0.984 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.6307 -0.15498 0.512 0.488 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4555 0.74597 0.200 0.800 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2356 0.82944 0.928 0.072 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0424 0.84971 0.992 0.008 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5058 0.65782 0.756 0.244 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.85057 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1289 0.76885 0.032 0.968 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.94643 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.5363 0.64552 0.724 0.276 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4555 0.70836 0.800 0.200 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.85057 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0592 0.84581 0.988 0.012 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.5650 0.60192 0.688 0.312 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4399 0.75774 0.188 0.812 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.4974 0.73115 0.236 0.764 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.85057 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.85057 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.6215 0.37108 0.572 0.428 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0592 0.84880 0.988 0.012 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4235 0.73312 0.824 0.176 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.85057 1.000 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1163 0.77063 0.028 0.972 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0237 0.94345 0.004 0.000 0.996
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.6280 0.38166 0.460 0.540 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.85057 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.2448 0.82824 0.924 0.076 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.5058 0.72088 0.244 0.756 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.4094 0.75396 0.100 0.872 0.028
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.4842 0.63527 0.224 0.776 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.1643 0.76803 0.044 0.956 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.85057 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.2959 0.75675 0.100 0.900 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.3116 0.77949 0.892 0.108 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.94643 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5058 0.72088 0.244 0.756 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.2959 0.79475 0.900 0.100 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.1860 0.83117 0.948 0.052 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.4062 0.70282 0.164 0.836 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.85057 1.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.4121 0.73881 0.832 0.168 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.5058 0.72088 0.244 0.756 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.1163 0.76868 0.028 0.972 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.1860 0.90323 0.052 0.000 0.948
#> A07AEAE4-FB94-4902-9857-8686C61920E0 1 0.6302 0.22151 0.520 0.480 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.5058 0.72088 0.244 0.756 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.85057 1.000 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.5733 0.59886 0.324 0.676 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.85057 1.000 0.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.3340 0.75194 0.120 0.880 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0747 0.76593 0.016 0.984 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.5455 0.69128 0.184 0.788 0.028
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.1163 0.84290 0.972 0.028 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.1529 0.76855 0.040 0.960 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.94643 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.1964 0.82224 0.944 0.056 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.5835 0.58876 0.340 0.660 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0592 0.84893 0.988 0.012 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.94643 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.5650 0.67698 0.312 0.688 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.5058 0.72088 0.244 0.756 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 1 0.6305 0.04144 0.516 0.484 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.94643 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0424 0.84971 0.992 0.008 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.94643 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.4346 0.75581 0.184 0.816 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.5058 0.72088 0.244 0.756 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0592 0.76448 0.012 0.988 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.1031 0.76803 0.024 0.976 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0237 0.85038 0.996 0.004 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.1753 0.90688 0.048 0.000 0.952
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.94643 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.85057 1.000 0.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.4931 0.67266 0.768 0.232 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.3816 0.73282 0.148 0.852 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.5058 0.72088 0.244 0.756 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.85057 1.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.85057 1.000 0.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.1031 0.83974 0.976 0.024 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.5138 0.71980 0.252 0.748 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.5988 0.60268 0.368 0.632 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.5058 0.72088 0.244 0.756 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5058 0.72088 0.244 0.756 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.5298 0.70830 0.164 0.804 0.032
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.3083 0.75902 0.060 0.916 0.024
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.4235 0.74154 0.176 0.824 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.5058 0.72088 0.244 0.756 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.5138 0.66295 0.748 0.252 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.5058 0.65782 0.756 0.244 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0000 0.85057 1.000 0.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.5178 0.58474 0.256 0.744 0.000
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.5216 0.65190 0.740 0.260 0.000
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0747 0.76609 0.016 0.984 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.85057 1.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.3116 0.77832 0.892 0.108 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 1 0.8170 0.54888 0.624 0.256 0.120
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.0592 0.76448 0.012 0.988 0.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.94643 0.000 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.5058 0.72088 0.244 0.756 0.000
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.85057 1.000 0.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 1 0.6095 0.48525 0.608 0.392 0.000
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.5291 0.70960 0.268 0.732 0.000
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 1 0.5905 0.55302 0.648 0.352 0.000
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 3 0.0000 0.94643 0.000 0.000 1.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.3038 0.80674 0.896 0.104 0.000
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 2 0.6308 -0.19028 0.492 0.508 0.000
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#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.4887 0.73450 0.228 0.772 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.6280 0.35329 0.460 0.540 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.1031 0.76803 0.024 0.976 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.85057 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5058 0.72088 0.244 0.756 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.94643 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.4346 0.69226 0.184 0.816 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.85057 1.000 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.1031 0.76803 0.024 0.976 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0424 0.84971 0.992 0.008 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.0237 0.85027 0.996 0.004 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.5835 0.56326 0.660 0.340 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.3038 0.79645 0.896 0.104 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0237 0.84964 0.996 0.004 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.85057 1.000 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.5621 0.58265 0.692 0.308 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.85057 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.5098 0.65642 0.752 0.248 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.94643 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.5216 0.65533 0.740 0.260 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.85057 1.000 0.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.5058 0.72088 0.244 0.756 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.4235 0.69816 0.824 0.176 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.1643 0.76753 0.044 0.956 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0237 0.85027 0.996 0.004 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0424 0.84971 0.992 0.008 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.0424 0.84971 0.992 0.008 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.1643 0.77276 0.044 0.956 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.85057 1.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.2625 0.76780 0.084 0.916 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.1964 0.82595 0.944 0.056 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.5760 0.59009 0.328 0.672 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.2959 0.85375 0.100 0.000 0.900
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.85057 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.85057 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.94643 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.5058 0.72088 0.244 0.756 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.85057 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0237 0.84808 0.996 0.004 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.5216 0.67153 0.740 0.260 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.85057 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.5815 0.55940 0.304 0.004 0.692
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.94643 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.5058 0.72088 0.244 0.756 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.85057 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.85057 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.5327 0.58273 0.272 0.728 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.6235 0.33195 0.564 0.436 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4796 0.66179 0.220 0.780 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.4504 0.73266 0.196 0.000 0.804
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0000 0.85057 1.000 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.0424 0.84971 0.992 0.008 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.2261 0.77074 0.068 0.932 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5058 0.72088 0.244 0.756 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5058 0.72088 0.244 0.756 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.5058 0.72088 0.244 0.756 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.3686 0.73871 0.140 0.860 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0424 0.84971 0.992 0.008 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.1529 0.76855 0.040 0.960 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2448 0.78121 0.076 0.924 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.7735 0.15535 0.048 0.440 0.512
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.1529 0.77282 0.040 0.960 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.1289 0.77011 0.032 0.968 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5178 0.71774 0.256 0.744 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.94643 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.94643 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4842 0.68202 0.776 0.224 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.85057 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.94643 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.5285 0.71724 0.148 0.812 0.040
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.3038 0.80628 0.896 0.104 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5058 0.72088 0.244 0.756 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.5621 0.64745 0.308 0.692 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.4121 0.75234 0.832 0.168 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5058 0.72088 0.244 0.756 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.5733 0.54377 0.676 0.324 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.85057 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.6140 0.40353 0.596 0.404 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.5958 0.56569 0.300 0.008 0.692
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.6111 0.15520 0.604 0.396 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5968 0.60160 0.364 0.636 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.4974 0.66787 0.764 0.236 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6302 -0.13203 0.480 0.520 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5058 0.72088 0.244 0.756 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0892 0.76714 0.020 0.980 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.5785 0.39136 0.668 0.332 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5058 0.72088 0.244 0.756 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.2796 0.79503 0.908 0.092 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.94643 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.5058 0.72088 0.244 0.756 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.5929 0.57335 0.676 0.320 0.004
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.5363 0.64552 0.724 0.276 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.3482 0.79567 0.872 0.128 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5926 0.61197 0.356 0.644 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.85057 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5058 0.72088 0.244 0.756 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.85057 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4605 0.68174 0.204 0.796 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.5178 0.62049 0.256 0.744 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6677 0.5194 0.100 0.552 0.000 0.348
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.5271 0.5609 0.020 0.640 0.000 0.340
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5172 0.2716 0.588 0.008 0.000 0.404
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.7883 -0.3474 0.380 0.328 0.000 0.292
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.5186 0.4857 0.084 0.752 0.000 0.164
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.6005 -0.1447 0.040 0.500 0.000 0.460
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.5582 0.3223 0.620 0.032 0.000 0.348
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0817 0.6007 0.976 0.000 0.000 0.024
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4624 0.3852 0.660 0.000 0.000 0.340
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 1 0.8410 -0.0251 0.456 0.032 0.256 0.256
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.5198 0.5703 0.040 0.252 0.708 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1978 0.5953 0.928 0.004 0.000 0.068
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2399 0.5841 0.920 0.032 0.000 0.048
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1743 0.6168 0.004 0.940 0.000 0.056
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1118 0.5981 0.964 0.000 0.000 0.036
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.5360 0.1175 0.436 0.012 0.000 0.552
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0817 0.6008 0.976 0.000 0.000 0.024
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.1305 0.5963 0.960 0.004 0.000 0.036
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.3266 0.5565 0.876 0.040 0.000 0.084
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.7908 -0.3736 0.360 0.304 0.000 0.336
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2011 0.6042 0.000 0.920 0.000 0.080
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1637 0.6139 0.000 0.940 0.000 0.060
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0188 0.9265 0.004 0.000 0.996 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0921 0.6214 0.000 0.972 0.000 0.028
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 1 0.7982 -0.2411 0.392 0.260 0.004 0.344
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1867 0.5965 0.928 0.000 0.000 0.072
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.3810 0.5214 0.804 0.008 0.000 0.188
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.4594 0.4542 0.712 0.008 0.000 0.280
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1557 0.5964 0.944 0.000 0.000 0.056
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.4893 0.4619 0.768 0.064 0.000 0.168
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.7619 0.0274 0.436 0.000 0.356 0.208
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3047 0.5778 0.012 0.872 0.000 0.116
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0336 0.6253 0.000 0.992 0.000 0.008
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.6855 0.4772 0.200 0.600 0.000 0.200
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5271 0.5609 0.020 0.640 0.000 0.340
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1716 0.6090 0.000 0.936 0.000 0.064
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.7309 0.1016 0.528 0.272 0.000 0.200
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6420 0.4470 0.228 0.640 0.000 0.132
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.5489 0.3927 0.664 0.040 0.000 0.296
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3725 0.5221 0.812 0.008 0.000 0.180
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.7489 0.4059 0.364 0.184 0.000 0.452
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2760 0.5690 0.872 0.000 0.000 0.128
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.1118 0.6214 0.000 0.964 0.000 0.036
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.6362 0.3331 0.368 0.072 0.000 0.560
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.6761 0.0256 0.608 0.168 0.000 0.224
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1716 0.5975 0.936 0.000 0.000 0.064
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4332 0.5192 0.800 0.040 0.000 0.160
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.6682 0.5225 0.112 0.312 0.000 0.576
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.6751 0.3387 0.272 0.592 0.000 0.136
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.6433 0.4973 0.164 0.648 0.000 0.188
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.3688 0.5363 0.792 0.000 0.000 0.208
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2530 0.5727 0.888 0.000 0.000 0.112
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.7696 0.4790 0.232 0.332 0.000 0.436
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.5204 0.3059 0.612 0.012 0.000 0.376
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.6081 -0.0351 0.484 0.044 0.000 0.472
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.3913 0.5470 0.824 0.028 0.000 0.148
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0469 0.6246 0.000 0.988 0.000 0.012
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.1929 0.8840 0.024 0.000 0.940 0.036
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#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.7214 0.1809 0.188 0.568 0.004 0.240
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.5731 0.3969 0.712 0.116 0.000 0.172
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.7105 0.3546 0.256 0.560 0.000 0.184
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.5186 0.4465 0.752 0.084 0.000 0.164
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5289 0.5603 0.020 0.636 0.000 0.344
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.6765 -0.0133 0.576 0.300 0.000 0.124
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4624 0.3852 0.660 0.000 0.000 0.340
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.7864 -0.3782 0.392 0.320 0.000 0.288
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.7927 0.1180 0.356 0.024 0.468 0.152
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.7688 0.2805 0.328 0.232 0.000 0.440
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.7919 -0.1502 0.348 0.316 0.000 0.336
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.7551 -0.2866 0.484 0.228 0.000 0.288
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6336 -0.2258 0.060 0.480 0.000 0.460
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5371 0.5585 0.020 0.616 0.000 0.364
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0817 0.6220 0.000 0.976 0.000 0.024
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4827 0.2773 0.092 0.124 0.000 0.784
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5271 0.5609 0.020 0.640 0.000 0.340
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.5183 0.1749 0.408 0.008 0.000 0.584
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9289 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.5371 0.5597 0.020 0.616 0.000 0.364
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.8029 -0.3722 0.376 0.280 0.004 0.340
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.6762 0.3639 0.360 0.104 0.000 0.536
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.5850 0.3833 0.676 0.080 0.000 0.244
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.7441 0.0340 0.488 0.320 0.000 0.192
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1211 0.5973 0.960 0.000 0.000 0.040
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.6332 0.4991 0.064 0.532 0.000 0.404
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4283 0.4790 0.740 0.004 0.000 0.256
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.7126 0.0972 0.176 0.552 0.000 0.272
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.7013 0.1007 0.292 0.556 0.000 0.152
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.6144 0.05371 0.040 0.296 0.000 0.592 0.072
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.4659 -0.21434 0.000 0.492 0.000 0.496 0.012
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.5201 0.06591 0.424 0.000 0.000 0.044 0.532
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.8661 0.25908 0.240 0.200 0.012 0.368 0.180
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.6110 0.09085 0.008 0.540 0.000 0.340 0.112
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.6168 0.06274 0.004 0.412 0.000 0.116 0.468
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.7018 0.18990 0.328 0.016 0.000 0.224 0.432
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4752 0.58176 0.724 0.000 0.000 0.092 0.184
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5002 0.33995 0.612 0.000 0.000 0.044 0.344
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 1 0.8640 0.16558 0.412 0.028 0.248 0.164 0.148
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4622 0.53150 0.016 0.268 0.700 0.004 0.012
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.4547 0.24854 0.000 0.588 0.000 0.400 0.012
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.3359 0.62808 0.848 0.004 0.000 0.052 0.096
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4888 0.56081 0.728 0.004 0.000 0.108 0.160
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.4444 0.32683 0.008 0.756 0.000 0.184 0.052
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.2997 0.61711 0.840 0.000 0.000 0.012 0.148
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.5134 0.43630 0.188 0.004 0.000 0.108 0.700
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.4582 0.24426 0.000 0.572 0.000 0.416 0.012
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.4736 0.24636 0.000 0.576 0.000 0.404 0.020
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2012 0.64201 0.920 0.000 0.000 0.020 0.060
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0404 0.91271 0.000 0.000 0.988 0.012 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.3690 0.62322 0.832 0.008 0.000 0.068 0.092
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5162 0.52452 0.704 0.004 0.000 0.140 0.152
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.8632 0.22792 0.172 0.284 0.008 0.332 0.204
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3152 0.38237 0.000 0.840 0.000 0.024 0.136
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.2408 0.41694 0.000 0.892 0.000 0.092 0.016
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1205 0.90122 0.004 0.000 0.956 0.040 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.2511 0.41012 0.000 0.892 0.000 0.080 0.028
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 4 0.9372 0.08440 0.164 0.152 0.088 0.352 0.244
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.2953 0.59987 0.844 0.000 0.000 0.012 0.144
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.4557 0.24976 0.000 0.584 0.000 0.404 0.012
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.4432 0.58859 0.772 0.008 0.000 0.076 0.144
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5071 0.20739 0.540 0.000 0.000 0.036 0.424
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1211 0.63803 0.960 0.000 0.000 0.016 0.024
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.6366 0.29347 0.520 0.004 0.000 0.308 0.168
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.7537 0.24631 0.512 0.008 0.264 0.116 0.100
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4364 0.30580 0.000 0.736 0.000 0.048 0.216
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3320 0.37679 0.004 0.820 0.000 0.164 0.012
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 4 0.6889 -0.01315 0.104 0.420 0.000 0.428 0.048
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4537 0.24960 0.000 0.592 0.000 0.396 0.012
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.1211 0.89933 0.000 0.000 0.960 0.024 0.016
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1195 0.41889 0.000 0.960 0.000 0.028 0.012
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.8229 0.14096 0.292 0.140 0.000 0.368 0.200
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.7660 -0.13944 0.164 0.400 0.000 0.356 0.080
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.6260 0.08703 0.372 0.008 0.000 0.120 0.500
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3900 0.58483 0.816 0.008 0.000 0.068 0.108
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.6342 0.41281 0.232 0.076 0.000 0.072 0.620
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2423 0.62510 0.896 0.000 0.000 0.024 0.080
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.2179 0.40747 0.000 0.896 0.000 0.100 0.004
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0880 0.90592 0.000 0.000 0.968 0.032 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.2839 0.50924 0.048 0.036 0.000 0.024 0.892
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.7251 0.05928 0.464 0.104 0.000 0.084 0.348
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.2189 0.63867 0.904 0.000 0.000 0.012 0.084
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.5621 0.41822 0.632 0.004 0.000 0.112 0.252
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.5328 0.39767 0.036 0.160 0.000 0.084 0.720
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.7430 -0.11448 0.112 0.428 0.000 0.368 0.092
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.5927 0.20987 0.136 0.652 0.000 0.188 0.024
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.4455 0.47500 0.704 0.000 0.000 0.036 0.260
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2769 0.61241 0.876 0.000 0.000 0.032 0.092
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 5 0.8103 -0.01523 0.108 0.256 0.000 0.252 0.384
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.4682 0.18199 0.356 0.000 0.000 0.024 0.620
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.5139 0.42273 0.240 0.036 0.000 0.032 0.692
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5906 0.35941 0.564 0.004 0.000 0.108 0.324
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1299 0.42073 0.008 0.960 0.000 0.020 0.012
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.2492 0.85921 0.008 0.000 0.900 0.072 0.020
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 5 0.7169 0.37675 0.120 0.172 0.000 0.140 0.568
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.5964 0.29105 0.280 0.004 0.000 0.132 0.584
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.4872 0.22736 0.000 0.540 0.000 0.436 0.024
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.7970 -0.06953 0.064 0.436 0.028 0.328 0.144
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.5506 0.12193 0.000 0.528 0.000 0.068 0.404
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.4056 0.34809 0.008 0.768 0.000 0.200 0.024
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.5010 0.24836 0.572 0.000 0.000 0.036 0.392
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.5049 0.21885 0.000 0.644 0.000 0.060 0.296
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 5 0.5274 0.45850 0.160 0.008 0.000 0.132 0.700
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0404 0.91271 0.000 0.000 0.988 0.012 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5587 0.22265 0.012 0.536 0.000 0.404 0.048
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.6297 0.33442 0.556 0.004 0.000 0.236 0.204
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.4836 0.22523 0.356 0.000 0.000 0.032 0.612
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.7244 -0.10445 0.032 0.420 0.000 0.204 0.344
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 5 0.4989 0.06156 0.416 0.000 0.000 0.032 0.552
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.5926 0.47216 0.684 0.080 0.000 0.080 0.156
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4622 0.23411 0.000 0.548 0.000 0.440 0.012
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.3053 0.38411 0.000 0.828 0.000 0.164 0.008
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.5780 0.63297 0.180 0.000 0.672 0.120 0.028
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.7557 -0.14761 0.040 0.372 0.000 0.300 0.288
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.4527 0.25022 0.000 0.596 0.000 0.392 0.012
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.4557 0.58032 0.760 0.004 0.000 0.104 0.132
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.8220 -0.21239 0.124 0.336 0.000 0.220 0.320
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.5076 0.55427 0.712 0.004 0.000 0.128 0.156
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.5409 0.18369 0.020 0.616 0.000 0.324 0.040
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.1630 0.42115 0.004 0.944 0.000 0.036 0.016
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.8270 0.15907 0.080 0.332 0.020 0.376 0.192
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.6331 0.22917 0.508 0.004 0.000 0.152 0.336
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.3531 0.38210 0.012 0.820 0.000 0.152 0.016
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 5 0.6493 0.03861 0.384 0.000 0.000 0.188 0.428
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 4 0.7798 0.30938 0.276 0.232 0.000 0.416 0.076
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 5 0.4961 -0.04811 0.448 0.000 0.000 0.028 0.524
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.7812 0.24664 0.220 0.268 0.000 0.428 0.084
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.6102 -0.14040 0.008 0.428 0.000 0.468 0.096
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.8384 0.22080 0.280 0.180 0.000 0.348 0.192
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0404 0.91271 0.000 0.000 0.988 0.012 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.3619 0.61917 0.828 0.008 0.000 0.040 0.124
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.7625 -0.09327 0.108 0.448 0.000 0.316 0.128
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.5792 0.19602 0.056 0.560 0.000 0.364 0.020
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.4023 0.37324 0.028 0.792 0.000 0.164 0.016
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.5101 0.17655 0.008 0.604 0.000 0.356 0.032
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 5 0.4655 0.26454 0.328 0.000 0.000 0.028 0.644
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.5871 0.64233 0.152 0.000 0.680 0.124 0.044
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.1205 0.64076 0.956 0.000 0.000 0.004 0.040
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.7964 -0.02747 0.420 0.148 0.000 0.140 0.292
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.7152 -0.07937 0.036 0.424 0.000 0.372 0.168
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.4565 0.24972 0.000 0.580 0.000 0.408 0.012
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.3013 0.58377 0.832 0.000 0.000 0.008 0.160
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.3180 0.62168 0.856 0.000 0.000 0.068 0.076
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.6136 0.12128 0.468 0.004 0.000 0.112 0.416
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#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.4389 0.36295 0.036 0.768 0.000 0.176 0.020
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 5 0.3984 0.47567 0.152 0.016 0.000 0.032 0.800
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0703 0.90974 0.000 0.000 0.976 0.024 0.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.4557 0.24976 0.000 0.584 0.000 0.404 0.012
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 5 0.4053 0.50546 0.056 0.104 0.000 0.024 0.816
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.7116 -0.05872 0.032 0.448 0.000 0.340 0.180
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.2426 0.63771 0.900 0.000 0.000 0.036 0.064
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0451 0.90856 0.000 0.000 0.988 0.008 0.004
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 4 0.7438 0.05402 0.232 0.060 0.000 0.480 0.228
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.4537 0.24960 0.000 0.592 0.000 0.396 0.012
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.2329 0.39921 0.000 0.876 0.000 0.124 0.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.5017 0.54302 0.724 0.008 0.000 0.112 0.156
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.4831 0.33818 0.028 0.728 0.000 0.208 0.036
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 4 0.8379 0.22307 0.296 0.212 0.000 0.332 0.160
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.5233 0.51135 0.696 0.004 0.000 0.136 0.164
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.8039 -0.19684 0.084 0.324 0.000 0.300 0.292
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 5 0.7818 0.26381 0.140 0.220 0.000 0.164 0.476
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.2777 0.61116 0.864 0.000 0.000 0.016 0.120
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.6485 0.37892 0.584 0.032 0.000 0.244 0.140
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.4670 0.56573 0.776 0.008 0.016 0.068 0.132
#> 577E5B95-C657-43E4-955A-4E5152901661 5 0.6130 0.23354 0.008 0.292 0.000 0.132 0.568
#> 445376A2-DB83-4BF9-923A-3057D7994097 4 0.8051 0.02523 0.332 0.104 0.000 0.356 0.208
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 5 0.5692 -0.07284 0.448 0.000 0.000 0.080 0.472
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 5 0.6349 -0.04741 0.416 0.000 0.000 0.160 0.424
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.3803 0.57472 0.804 0.000 0.000 0.056 0.140
#> 4D145415-3538-4C9F-8514-D519F8655F07 5 0.5153 0.00839 0.436 0.000 0.000 0.040 0.524
#> F93481C3-1054-44AD-8D70-3639E7921F74 4 0.7851 0.18615 0.212 0.324 0.000 0.384 0.080
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 5 0.5641 0.02686 0.000 0.436 0.000 0.076 0.488
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.4620 0.42180 0.652 0.000 0.000 0.028 0.320
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.3552 0.38339 0.012 0.812 0.000 0.164 0.012
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.3769 0.80207 0.076 0.000 0.836 0.068 0.020
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.1300 0.42048 0.000 0.956 0.000 0.028 0.016
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 4 0.8344 0.18373 0.128 0.328 0.012 0.372 0.160
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.3687 0.37374 0.000 0.792 0.000 0.180 0.028
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.4823 0.33346 0.068 0.776 0.000 0.088 0.068
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5626 0.35792 0.584 0.020 0.000 0.048 0.348
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.5272 0.51025 0.680 0.004 0.000 0.104 0.212
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.5759 0.06003 0.000 0.520 0.000 0.092 0.388
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.5733 0.24256 0.036 0.580 0.000 0.348 0.036
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 5 0.4133 0.42673 0.000 0.180 0.000 0.052 0.768
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.6639 -0.01861 0.008 0.472 0.000 0.340 0.180
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 1 0.7652 -0.03137 0.392 0.088 0.000 0.372 0.148
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 5 0.6980 0.43414 0.164 0.092 0.000 0.160 0.584
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 4 0.8166 0.14560 0.072 0.348 0.020 0.376 0.184
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.6006 0.21957 0.116 0.640 0.000 0.216 0.028
#> A95868A5-84D9-4538-843D-35FC17E37141 5 0.8379 -0.08918 0.144 0.260 0.000 0.272 0.324
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.3756 0.31671 0.000 0.744 0.000 0.248 0.008
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.4527 0.25387 0.000 0.596 0.000 0.392 0.012
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.6100 0.10306 0.000 0.500 0.000 0.132 0.368
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.4541 0.58190 0.760 0.004 0.000 0.096 0.140
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.1106 0.41832 0.000 0.964 0.000 0.012 0.024
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.5303 0.12334 0.516 0.004 0.000 0.040 0.440
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.2260 0.63765 0.908 0.000 0.000 0.028 0.064
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 5 0.6137 0.47708 0.160 0.056 0.000 0.124 0.660
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.6708 0.30686 0.568 0.052 0.000 0.120 0.260
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.5414 0.51596 0.660 0.000 0.000 0.140 0.200
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.2482 0.64149 0.892 0.000 0.000 0.024 0.084
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.7889 0.25936 0.260 0.088 0.000 0.236 0.416
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.3194 0.59744 0.832 0.000 0.000 0.020 0.148
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.5395 0.45630 0.216 0.040 0.000 0.052 0.692
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.3978 0.49616 0.144 0.036 0.000 0.016 0.804
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.4238 0.54144 0.756 0.000 0.000 0.052 0.192
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.4557 0.24794 0.000 0.584 0.000 0.404 0.012
#> 93C1A410-3517-4019-A00F-B46F05A8B514 5 0.7254 0.40169 0.140 0.120 0.000 0.184 0.556
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.4401 0.36132 0.012 0.776 0.016 0.172 0.024
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.2209 0.64135 0.912 0.000 0.000 0.032 0.056
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.3547 0.58562 0.836 0.004 0.000 0.060 0.100
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.4761 0.57434 0.740 0.008 0.000 0.080 0.172
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.3241 0.37209 0.000 0.832 0.000 0.024 0.144
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.3863 0.58915 0.772 0.000 0.000 0.028 0.200
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6518 0.05456 0.012 0.520 0.000 0.308 0.160
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.4612 0.43574 0.180 0.000 0.000 0.084 0.736
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.8410 -0.10378 0.164 0.244 0.000 0.248 0.344
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.5435 0.67427 0.156 0.000 0.708 0.108 0.028
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.2540 0.62360 0.888 0.000 0.000 0.024 0.088
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.3810 0.60340 0.812 0.000 0.000 0.100 0.088
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.4744 -0.20317 0.000 0.476 0.000 0.508 0.016
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.4370 0.50572 0.724 0.000 0.000 0.040 0.236
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5890 0.27151 0.552 0.008 0.000 0.088 0.352
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.5545 0.45727 0.208 0.076 0.000 0.032 0.684
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.4031 0.55089 0.772 0.000 0.000 0.044 0.184
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.7836 0.08474 0.400 0.008 0.368 0.128 0.096
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.4659 -0.20989 0.000 0.488 0.000 0.500 0.012
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5475 0.42156 0.604 0.000 0.000 0.088 0.308
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.7673 -0.11886 0.028 0.380 0.012 0.324 0.256
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.7773 -0.16561 0.056 0.336 0.000 0.320 0.288
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.7256 -0.00551 0.028 0.272 0.000 0.264 0.436
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.7184 0.20607 0.360 0.000 0.456 0.120 0.064
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3494 0.59631 0.840 0.004 0.000 0.060 0.096
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.3229 0.63100 0.860 0.008 0.000 0.044 0.088
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5585 0.17531 0.016 0.612 0.000 0.312 0.060
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5626 0.21527 0.000 0.504 0.000 0.420 0.076
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5267 0.18237 0.020 0.492 0.000 0.472 0.016
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.4950 -0.15780 0.008 0.424 0.000 0.552 0.016
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.7409 -0.10140 0.044 0.408 0.000 0.348 0.200
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4231 0.55975 0.784 0.008 0.000 0.060 0.148
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.3807 0.32173 0.000 0.748 0.000 0.240 0.012
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2897 0.40514 0.020 0.888 0.000 0.052 0.040
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.6571 0.31613 0.020 0.272 0.576 0.120 0.012
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.1671 0.40977 0.000 0.924 0.000 0.000 0.076
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5126 0.16219 0.008 0.596 0.000 0.364 0.032
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.7573 0.02138 0.100 0.432 0.000 0.344 0.124
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0404 0.91271 0.000 0.000 0.988 0.012 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.6148 -0.00147 0.452 0.036 0.000 0.052 0.460
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1522 0.63399 0.944 0.000 0.000 0.012 0.044
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.8089 -0.09805 0.028 0.408 0.064 0.340 0.160
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.7033 0.21966 0.476 0.036 0.000 0.328 0.160
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.4574 0.24859 0.000 0.576 0.000 0.412 0.012
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 4 0.7513 0.13855 0.144 0.380 0.000 0.400 0.076
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.6866 0.26912 0.496 0.024 0.000 0.304 0.176
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4547 0.25160 0.000 0.588 0.000 0.400 0.012
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.7763 -0.00242 0.424 0.140 0.000 0.324 0.112
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4873 0.39075 0.644 0.000 0.000 0.044 0.312
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.8431 0.01154 0.180 0.224 0.000 0.248 0.348
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.8199 0.09589 0.336 0.020 0.404 0.124 0.116
#> F6381259-41CC-432C-9EB3-C232663DFBE2 5 0.7754 0.30374 0.160 0.196 0.000 0.152 0.492
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.6905 0.28149 0.120 0.144 0.000 0.600 0.136
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.7995 -0.08371 0.392 0.176 0.000 0.116 0.316
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.4765 0.36947 0.004 0.232 0.000 0.056 0.708
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.4882 0.24968 0.012 0.588 0.000 0.388 0.012
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0898 0.41904 0.000 0.972 0.000 0.008 0.020
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.6549 -0.08147 0.028 0.100 0.000 0.444 0.428
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.4656 -0.20497 0.000 0.480 0.000 0.508 0.012
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.5720 0.40726 0.232 0.012 0.000 0.112 0.644
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.91411 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4904 0.19886 0.000 0.504 0.000 0.472 0.024
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.8738 0.23587 0.172 0.260 0.016 0.356 0.196
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.4015 0.49372 0.124 0.040 0.000 0.024 0.812
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.7162 0.04570 0.396 0.016 0.000 0.288 0.300
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.8058 0.22545 0.300 0.152 0.000 0.400 0.148
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1942 0.63859 0.920 0.000 0.000 0.012 0.068
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.7458 -0.07927 0.052 0.376 0.000 0.388 0.184
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4555 0.51653 0.732 0.004 0.000 0.052 0.212
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.7039 -0.06096 0.016 0.432 0.004 0.360 0.188
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 4 0.7717 0.19843 0.148 0.356 0.000 0.400 0.096
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.7253 -0.1267 0.044 0.256 0.000 0.444 0.220 0.036
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.3607 -0.2418 0.000 0.348 0.000 0.652 0.000 0.000
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#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.2191 0.6288 0.876 0.000 0.000 0.000 0.120 0.004
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 5 0.2714 0.5383 0.056 0.028 0.000 0.016 0.888 0.012
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.5067 0.5732 0.688 0.000 0.008 0.044 0.212 0.048
#> 577E5B95-C657-43E4-955A-4E5152901661 6 0.6705 0.4103 0.012 0.336 0.000 0.044 0.152 0.456
#> 445376A2-DB83-4BF9-923A-3057D7994097 5 0.5187 0.4639 0.004 0.132 0.000 0.064 0.708 0.092
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 5 0.6074 0.0703 0.288 0.004 0.000 0.000 0.452 0.256
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 5 0.5547 0.4110 0.100 0.008 0.000 0.056 0.672 0.164
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.4305 0.6140 0.748 0.000 0.000 0.040 0.176 0.036
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.4866 -0.0455 0.536 0.000 0.000 0.012 0.036 0.416
#> F93481C3-1054-44AD-8D70-3639E7921F74 5 0.6661 0.0718 0.008 0.284 0.000 0.180 0.484 0.044
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 6 0.5960 0.3022 0.000 0.336 0.000 0.032 0.116 0.516
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.2219 0.6265 0.864 0.000 0.000 0.000 0.136 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0260 0.9006 0.000 0.000 0.992 0.008 0.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.2219 0.6276 0.864 0.000 0.000 0.000 0.136 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.5677 0.1539 0.480 0.000 0.000 0.008 0.388 0.124
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.5285 0.2271 0.000 0.596 0.000 0.316 0.040 0.048
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.4698 0.7854 0.076 0.004 0.776 0.072 0.028 0.044
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.2859 0.4014 0.000 0.856 0.000 0.108 0.008 0.028
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 4 0.7304 0.3583 0.028 0.264 0.000 0.472 0.104 0.132
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.4042 0.3929 0.000 0.784 0.000 0.132 0.040 0.044
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.4856 0.3545 0.000 0.724 0.000 0.056 0.144 0.076
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 5 0.7445 -0.0676 0.328 0.008 0.000 0.148 0.372 0.144
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 5 0.2527 0.5106 0.108 0.000 0.000 0.000 0.868 0.024
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6001 -0.1815 0.000 0.432 0.000 0.024 0.124 0.420
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.5729 0.2403 0.000 0.456 0.000 0.440 0.056 0.048
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 6 0.5043 0.5900 0.040 0.120 0.000 0.008 0.112 0.720
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 4 0.6502 0.2879 0.000 0.356 0.000 0.456 0.072 0.116
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 5 0.5180 0.4733 0.024 0.072 0.000 0.140 0.720 0.044
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 6 0.6490 0.2428 0.044 0.020 0.000 0.096 0.368 0.472
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 4 0.8413 0.3561 0.020 0.260 0.088 0.392 0.084 0.156
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.5932 0.2915 0.004 0.468 0.000 0.408 0.092 0.028
#> A95868A5-84D9-4538-843D-35FC17E37141 5 0.7378 0.2158 0.024 0.244 0.000 0.104 0.464 0.164
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.4329 0.2595 0.000 0.696 0.000 0.252 0.008 0.044
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.3198 0.5745 0.740 0.000 0.000 0.000 0.260 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.3817 0.3397 0.000 0.568 0.000 0.432 0.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.6695 0.1366 0.008 0.492 0.000 0.088 0.104 0.308
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 5 0.3190 0.4165 0.220 0.000 0.000 0.000 0.772 0.008
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.1346 0.4168 0.000 0.952 0.000 0.016 0.008 0.024
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.5589 0.0212 0.492 0.000 0.000 0.020 0.084 0.404
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 5 0.4999 -0.2964 0.460 0.000 0.000 0.032 0.488 0.020
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 6 0.6542 0.3735 0.104 0.052 0.000 0.016 0.340 0.488
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 5 0.7436 0.1841 0.220 0.012 0.000 0.200 0.440 0.128
#> 229B786F-7955-409B-A85D-A33D5810F519 5 0.2872 0.5029 0.140 0.000 0.000 0.000 0.836 0.024
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.4199 0.0398 0.380 0.000 0.000 0.000 0.600 0.020
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.6406 0.3058 0.032 0.128 0.000 0.052 0.600 0.188
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.1958 0.6291 0.896 0.000 0.000 0.000 0.100 0.004
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 6 0.6949 0.5586 0.192 0.052 0.000 0.032 0.204 0.520
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 6 0.5593 0.5943 0.188 0.024 0.000 0.004 0.152 0.632
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.4366 0.6171 0.748 0.000 0.000 0.036 0.168 0.048
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.3851 0.3321 0.000 0.540 0.000 0.460 0.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 6 0.8102 0.2986 0.108 0.096 0.000 0.120 0.316 0.360
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.6812 -0.0808 0.020 0.460 0.052 0.364 0.008 0.096
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4854 0.3803 0.520 0.000 0.000 0.024 0.436 0.020
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4884 0.5286 0.628 0.000 0.000 0.032 0.308 0.032
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.6135 0.4372 0.540 0.000 0.000 0.100 0.296 0.064
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.3261 0.3857 0.000 0.804 0.000 0.012 0.012 0.172
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.4794 -0.0212 0.440 0.000 0.000 0.000 0.508 0.052
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6412 -0.1045 0.000 0.480 0.000 0.340 0.072 0.108
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 6 0.6698 0.4392 0.104 0.020 0.000 0.092 0.232 0.552
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.6959 0.2869 0.032 0.208 0.000 0.072 0.536 0.152
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.6832 0.2358 0.364 0.000 0.456 0.084 0.040 0.056
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.1910 0.6313 0.892 0.000 0.000 0.000 0.108 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.3265 0.3558 0.248 0.000 0.000 0.000 0.748 0.004
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3847 -0.2425 0.000 0.348 0.000 0.644 0.008 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.2631 0.6201 0.876 0.000 0.000 0.004 0.076 0.044
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.6057 0.3463 0.176 0.000 0.000 0.128 0.608 0.088
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 6 0.7014 0.5340 0.188 0.112 0.000 0.012 0.172 0.516
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.3857 0.6217 0.792 0.000 0.000 0.012 0.112 0.084
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.7802 0.3227 0.448 0.000 0.220 0.092 0.172 0.068
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.3774 -0.2806 0.000 0.408 0.000 0.592 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.2219 0.6269 0.864 0.000 0.000 0.000 0.136 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.5089 0.1315 0.384 0.004 0.000 0.000 0.540 0.072
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.8455 0.3097 0.108 0.256 0.004 0.348 0.092 0.192
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.8781 0.1515 0.104 0.188 0.004 0.300 0.168 0.236
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.8368 0.1835 0.056 0.228 0.000 0.208 0.180 0.328
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.7394 0.3107 0.492 0.000 0.248 0.080 0.112 0.068
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.4962 0.5426 0.648 0.000 0.000 0.052 0.272 0.028
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.5470 0.3788 0.504 0.000 0.000 0.060 0.408 0.028
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.6284 -0.0653 0.004 0.456 0.000 0.392 0.052 0.096
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5939 0.2856 0.000 0.452 0.000 0.408 0.024 0.116
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5069 0.3295 0.000 0.544 0.000 0.396 0.028 0.032
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.5002 -0.2951 0.000 0.412 0.000 0.516 0.072 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.7371 0.2927 0.000 0.284 0.000 0.384 0.176 0.156
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.5155 0.5513 0.660 0.004 0.000 0.044 0.244 0.048
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5473 0.0026 0.004 0.504 0.000 0.400 0.008 0.084
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.3792 0.4044 0.008 0.820 0.000 0.028 0.064 0.080
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.7482 -0.2510 0.024 0.264 0.336 0.324 0.004 0.048
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.3125 0.4094 0.000 0.828 0.000 0.032 0.004 0.136
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.6946 0.0124 0.000 0.444 0.000 0.292 0.168 0.096
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.7079 0.2518 0.028 0.404 0.000 0.384 0.112 0.072
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.1690 0.8918 0.004 0.000 0.940 0.020 0.016 0.020
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 6 0.6534 0.2477 0.380 0.032 0.000 0.060 0.060 0.468
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.2260 0.6246 0.860 0.000 0.000 0.000 0.140 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 4 0.8227 0.3238 0.020 0.284 0.124 0.396 0.052 0.124
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.2885 0.5500 0.040 0.028 0.000 0.024 0.884 0.024
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.3930 0.3406 0.000 0.576 0.000 0.420 0.004 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.6663 0.0161 0.004 0.324 0.000 0.140 0.468 0.064
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.3719 0.5382 0.040 0.028 0.000 0.096 0.824 0.012
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.3797 0.3407 0.000 0.580 0.000 0.420 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.4846 0.5128 0.052 0.036 0.000 0.096 0.760 0.056
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.5247 0.3870 0.628 0.000 0.000 0.020 0.092 0.260
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.7494 0.0545 0.016 0.112 0.000 0.224 0.428 0.220
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 1 0.7829 0.3336 0.456 0.000 0.208 0.104 0.160 0.072
#> F6381259-41CC-432C-9EB3-C232663DFBE2 6 0.6819 0.2986 0.044 0.048 0.000 0.096 0.320 0.492
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.7104 -0.0203 0.048 0.104 0.000 0.432 0.360 0.056
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.8297 0.0979 0.184 0.056 0.000 0.196 0.356 0.208
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.5829 0.5479 0.012 0.204 0.000 0.024 0.144 0.616
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.4018 0.3427 0.000 0.580 0.000 0.412 0.008 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1933 0.4163 0.000 0.920 0.000 0.044 0.004 0.032
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.8010 -0.2658 0.028 0.144 0.000 0.328 0.224 0.276
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3756 -0.2756 0.000 0.400 0.000 0.600 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 6 0.7330 0.3166 0.144 0.020 0.000 0.104 0.292 0.440
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9038 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4492 -0.3297 0.000 0.480 0.000 0.496 0.008 0.016
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.9107 0.3230 0.112 0.168 0.056 0.376 0.136 0.152
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.5360 0.5862 0.164 0.032 0.000 0.016 0.100 0.688
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3976 0.5043 0.028 0.024 0.000 0.040 0.812 0.096
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.5575 0.3997 0.012 0.108 0.000 0.184 0.660 0.036
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3023 0.5778 0.784 0.000 0.000 0.000 0.212 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.7493 -0.1592 0.000 0.276 0.000 0.348 0.148 0.228
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5132 0.5982 0.684 0.000 0.000 0.040 0.184 0.092
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.7097 0.3228 0.004 0.320 0.024 0.448 0.048 0.156
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.7079 0.0373 0.004 0.196 0.000 0.192 0.484 0.124
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.798 0.902 0.943 0.4903 0.512 0.512
#> 3 3 0.797 0.843 0.927 0.3429 0.689 0.466
#> 4 4 0.652 0.737 0.841 0.1264 0.823 0.544
#> 5 5 0.722 0.647 0.829 0.0734 0.885 0.602
#> 6 6 0.781 0.692 0.853 0.0410 0.875 0.504
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9407 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9407 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0376 0.9424 0.996 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.3114 0.9397 0.056 0.944
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.2948 0.9420 0.052 0.948
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.7745 0.7772 0.772 0.228
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.2948 0.9420 0.052 0.948
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.2948 0.9263 0.948 0.052
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9433 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9433 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.2948 0.9420 0.052 0.948
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.2778 0.9423 0.048 0.952
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9407 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9433 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9433 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.3879 0.9187 0.924 0.076
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9433 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.3274 0.9244 0.940 0.060
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9407 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0376 0.9397 0.004 0.996
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9433 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.2948 0.9420 0.052 0.948
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9433 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.2948 0.9420 0.052 0.948
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.9433 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.4431 0.9170 0.092 0.908
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9407 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0376 0.9400 0.004 0.996
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.2948 0.9420 0.052 0.948
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.5629 0.8842 0.868 0.132
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9407 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9433 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9407 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.8909 0.6424 0.308 0.692
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9433 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9433 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0000 0.9433 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.2948 0.9420 0.052 0.948
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.9998 0.1724 0.508 0.492
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.0376 0.9421 0.996 0.004
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.3584 0.9220 0.932 0.068
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9407 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.2948 0.9420 0.052 0.948
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.9407 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.0000 0.9433 1.000 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0672 0.9415 0.992 0.008
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9433 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.2043 0.9251 0.968 0.032
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.2778 0.9305 0.952 0.048
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9433 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0376 0.9412 0.004 0.996
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.2948 0.9420 0.052 0.948
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.3431 0.9232 0.936 0.064
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2043 0.9355 0.968 0.032
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9433 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9433 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.4815 0.9036 0.896 0.104
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.0000 0.9433 1.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9407 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9433 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9433 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.2423 0.9426 0.040 0.960
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9433 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.9433 1.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9433 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9407 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.2948 0.9420 0.052 0.948
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.5059 0.8982 0.888 0.112
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9433 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.2948 0.9263 0.948 0.052
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.9407 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.9407 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.4815 0.9036 0.896 0.104
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.2778 0.9423 0.048 0.952
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9433 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.9522 0.3672 0.372 0.628
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.4562 0.9086 0.904 0.096
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.2948 0.9420 0.052 0.948
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.9407 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.9433 1.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9433 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0672 0.9415 0.992 0.008
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9433 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.8713 0.6755 0.292 0.708
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9407 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0376 0.9400 0.004 0.996
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.2948 0.9420 0.052 0.948
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.9407 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9407 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.9433 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.1414 0.9381 0.980 0.020
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9433 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.0000 0.9433 1.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.2043 0.9269 0.032 0.968
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.2948 0.9420 0.052 0.948
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.9433 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.9407 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.2948 0.9420 0.052 0.948
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.6247 0.8589 0.844 0.156
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.9608 0.4816 0.384 0.616
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9433 1.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.2948 0.9420 0.052 0.948
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 1 0.0000 0.9433 1.000 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.9407 0.000 1.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 1 0.9963 0.0170 0.536 0.464
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.2948 0.9420 0.052 0.948
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.9433 1.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.2948 0.9420 0.052 0.948
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.2948 0.9263 0.948 0.052
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 1 0.8763 0.6718 0.704 0.296
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0000 0.9407 0.000 1.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.9129 0.6045 0.328 0.672
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.2778 0.9280 0.952 0.048
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.2948 0.9420 0.052 0.948
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.2948 0.9420 0.052 0.948
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0000 0.9433 1.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.0000 0.9433 1.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.3879 0.9287 0.076 0.924
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.9407 0.000 1.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.9433 1.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.9433 1.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0000 0.9433 1.000 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 1 0.5059 0.8991 0.888 0.112
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 1 0.4431 0.8985 0.908 0.092
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.0000 0.9407 0.000 1.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.0000 0.9407 0.000 1.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.2948 0.9420 0.052 0.948
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.2948 0.9420 0.052 0.948
#> D6988F7F-9D15-466E-9586-018C41098A3F 1 0.0000 0.9433 1.000 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 1 0.9427 0.5460 0.640 0.360
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.0000 0.9433 1.000 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.7674 0.7200 0.776 0.224
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0000 0.9433 1.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 1 0.7056 0.8232 0.808 0.192
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.4562 0.9086 0.904 0.096
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0000 0.9407 0.000 1.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.9433 1.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.0000 0.9433 1.000 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.2948 0.9420 0.052 0.948
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.2423 0.9236 0.040 0.960
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 2 0.2948 0.9420 0.052 0.948
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.0376 0.9397 0.004 0.996
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.9433 1.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 1 0.3431 0.9233 0.936 0.064
#> 9F68C7B1-2778-4A19-A92D-A84198806569 1 0.7219 0.8128 0.800 0.200
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 1 0.5294 0.8927 0.880 0.120
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 2 0.2948 0.9420 0.052 0.948
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.0000 0.9433 1.000 0.000
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 1 0.4939 0.9010 0.892 0.108
#> FB666689-F12A-438F-9458-63A96B6088B1 2 0.6973 0.7450 0.188 0.812
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 1 0.0000 0.9433 1.000 0.000
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 2 0.8955 0.4998 0.312 0.688
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.3431 0.9232 0.936 0.064
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 2 0.2948 0.9420 0.052 0.948
#> DC274A56-C469-4008-ABE9-9D55CF455388 1 0.0000 0.9433 1.000 0.000
#> 321A3603-B668-4E2C-B605-2AC9F447326F 1 0.0000 0.9433 1.000 0.000
#> 9DB3FD40-1BA7-4E97-8860-D6F5A516E5D8 2 0.0376 0.9412 0.004 0.996
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#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9407 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.3733 0.8937 0.072 0.928
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.2948 0.9420 0.052 0.948
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9433 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9433 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.7056 0.8154 0.192 0.808
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 1 0.4562 0.9094 0.904 0.096
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9433 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.9407 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.4562 0.9086 0.904 0.096
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.9433 1.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.2948 0.9420 0.052 0.948
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9433 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9433 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.2948 0.9420 0.052 0.948
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9407 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9433 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.7219 0.8128 0.800 0.200
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.2948 0.9263 0.948 0.052
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9433 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.2948 0.9420 0.052 0.948
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.2948 0.9420 0.052 0.948
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9407 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9433 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9433 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.9407 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.9815 0.2158 0.420 0.580
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.8144 0.7410 0.748 0.252
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.3274 0.9371 0.060 0.940
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.0938 0.9373 0.988 0.012
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.1633 0.9305 0.976 0.024
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4815 0.9077 0.104 0.896
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.9954 0.0162 0.460 0.540
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.9833 0.3884 0.576 0.424
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.8713 0.6789 0.708 0.292
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.4431 0.9132 0.908 0.092
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.4690 0.9074 0.100 0.900
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2948 0.9420 0.052 0.948
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4815 0.8626 0.104 0.896
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.2948 0.9420 0.052 0.948
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.5408 0.8441 0.124 0.876
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.9000 0.4951 0.684 0.316
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.9686 0.4623 0.604 0.396
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.2948 0.9420 0.052 0.948
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.2948 0.9420 0.052 0.948
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3733 0.9203 0.928 0.072
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9433 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.2948 0.9420 0.052 0.948
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.2948 0.9420 0.052 0.948
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.0000 0.9433 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9407 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.9433 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.0000 0.9433 1.000 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9407 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.0000 0.9433 1.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9433 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.9433 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.2948 0.9420 0.052 0.948
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.7219 0.8128 0.800 0.200
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.1843 0.9288 0.028 0.972
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0000 0.9433 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.4431 0.9108 0.908 0.092
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.4939 0.8545 0.108 0.892
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0376 0.9400 0.004 0.996
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1414 0.9333 0.020 0.980
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9407 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.7299 0.8081 0.796 0.204
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.2948 0.9420 0.052 0.948
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9407 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2778 0.9423 0.048 0.952
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.2043 0.9342 0.968 0.032
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.9433 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.0376 0.9417 0.996 0.004
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9433 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.8144 0.7429 0.748 0.252
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9433 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9407 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.0000 0.9433 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.2066 0.9009 0.000 0.940 0.060
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.2711 0.8828 0.000 0.912 0.088
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1753 0.8984 0.952 0.048 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0747 0.9284 0.016 0.000 0.984
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9356 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0424 0.9121 0.000 0.992 0.008
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9356 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.6299 0.0226 0.476 0.524 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0424 0.9197 0.992 0.008 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9190 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0424 0.9324 0.008 0.000 0.992
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9356 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.2165 0.8992 0.000 0.936 0.064
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9190 1.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0237 0.9195 0.996 0.004 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1163 0.9001 0.028 0.972 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9190 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.6225 0.3014 0.568 0.432 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.1964 0.9022 0.000 0.944 0.056
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.1753 0.9041 0.000 0.952 0.048
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9190 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9356 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0000 0.9190 1.000 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9356 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0237 0.9195 0.996 0.004 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.2173 0.9000 0.008 0.048 0.944
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0747 0.9105 0.000 0.984 0.016
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.1031 0.9086 0.000 0.976 0.024
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9356 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.9127 0.000 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0237 0.9336 0.000 0.004 0.996
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0592 0.9195 0.988 0.012 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.2165 0.8992 0.000 0.936 0.064
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.4931 0.7053 0.232 0.000 0.768
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0747 0.9190 0.984 0.016 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9190 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0747 0.9190 0.984 0.016 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0747 0.9284 0.016 0.000 0.984
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9127 0.000 1.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3879 0.7805 0.152 0.848 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9127 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.2165 0.8992 0.000 0.936 0.064
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9356 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1163 0.9083 0.000 0.972 0.028
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.1289 0.9130 0.968 0.032 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4555 0.7324 0.200 0.800 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.5327 0.6404 0.728 0.272 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.6286 0.1870 0.464 0.000 0.536
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3116 0.8544 0.892 0.108 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9190 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.4346 0.7695 0.000 0.816 0.184
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9356 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.6140 0.2652 0.404 0.596 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4235 0.7803 0.824 0.176 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0592 0.9195 0.988 0.012 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0424 0.9197 0.992 0.008 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0000 0.9127 0.000 1.000 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.6244 0.2450 0.560 0.440 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0237 0.9125 0.000 0.996 0.004
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9190 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9190 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.1031 0.9211 0.000 0.024 0.976
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1031 0.9173 0.976 0.024 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0592 0.9195 0.988 0.012 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0424 0.9197 0.992 0.008 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0592 0.9113 0.000 0.988 0.012
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9356 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0000 0.9127 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9190 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.5926 0.5075 0.644 0.356 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.2066 0.9009 0.000 0.940 0.060
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.9356 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.9127 0.000 1.000 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.9356 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0424 0.9197 0.992 0.008 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.9127 0.000 1.000 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.0000 0.9127 0.000 1.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9356 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.2066 0.9009 0.000 0.940 0.060
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.1163 0.9150 0.972 0.028 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9190 1.000 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.4291 0.7464 0.180 0.820 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9190 1.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 3 0.4887 0.7118 0.228 0.000 0.772
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.2066 0.9009 0.000 0.940 0.060
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.1163 0.9074 0.000 0.972 0.028
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0424 0.9324 0.008 0.000 0.992
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0892 0.9238 0.000 0.020 0.980
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.2261 0.8970 0.000 0.932 0.068
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0747 0.9190 0.984 0.016 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.1964 0.9009 0.944 0.056 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0747 0.9190 0.984 0.016 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.6215 0.2156 0.428 0.572 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0747 0.9105 0.000 0.984 0.016
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.9356 0.000 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0892 0.9179 0.980 0.020 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0237 0.9334 0.000 0.004 0.996
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9356 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.7571 0.1089 0.508 0.452 0.040
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#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.0000 0.9356 0.000 0.000 1.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.2165 0.8994 0.000 0.936 0.064
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.6154 0.3695 0.592 0.408 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.9356 0.000 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.2165 0.8992 0.000 0.936 0.064
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 2 0.0237 0.9116 0.004 0.996 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 1 0.5443 0.6537 0.736 0.260 0.004
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.0000 0.9190 1.000 0.000 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.9356 0.000 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.1753 0.9041 0.000 0.952 0.048
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.2261 0.8970 0.000 0.932 0.068
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.3116 0.8532 0.000 0.892 0.108
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.0000 0.9190 1.000 0.000 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0424 0.9121 0.000 0.992 0.008
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.0747 0.9190 0.984 0.016 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0747 0.9190 0.984 0.016 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.4178 0.7870 0.828 0.172 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.0000 0.9127 0.000 1.000 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.9190 1.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.2448 0.8842 0.924 0.076 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 3 0.1289 0.9194 0.032 0.000 0.968
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0237 0.9125 0.000 0.996 0.004
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.4399 0.7456 0.188 0.812 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0892 0.9179 0.980 0.020 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.1031 0.9166 0.976 0.024 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 3 0.1411 0.9171 0.036 0.000 0.964
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0592 0.9195 0.988 0.012 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.3619 0.8126 0.136 0.864 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.0000 0.9127 0.000 1.000 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.9190 1.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.9356 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.9190 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0592 0.9195 0.988 0.012 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.5826 0.7434 0.032 0.764 0.204
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.9356 0.000 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0892 0.9095 0.000 0.980 0.020
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.1753 0.9080 0.048 0.000 0.952
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.9127 0.000 1.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0000 0.9127 0.000 1.000 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5650 0.5219 0.688 0.000 0.312
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.9356 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0747 0.9190 0.984 0.016 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.1031 0.9072 0.000 0.976 0.024
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.6062 0.3447 0.000 0.384 0.616
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.0000 0.9127 0.000 1.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.6126 0.3620 0.000 0.400 0.600
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 1 0.4555 0.7480 0.800 0.200 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.0000 0.9127 0.000 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.9356 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9127 0.000 1.000 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.2625 0.8563 0.084 0.916 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.6026 0.3698 0.000 0.624 0.376
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9190 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.2261 0.8970 0.000 0.932 0.068
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9356 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0000 0.9127 0.000 1.000 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0747 0.9190 0.984 0.016 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.3340 0.8379 0.000 0.880 0.120
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0424 0.9182 0.992 0.008 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.0000 0.9190 1.000 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.5988 0.3687 0.368 0.632 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 3 0.7056 0.2992 0.404 0.024 0.572
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0747 0.9190 0.984 0.016 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.9190 1.000 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.2878 0.8784 0.904 0.096 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9190 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.3816 0.8203 0.852 0.148 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9356 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.3267 0.8597 0.884 0.116 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0237 0.9175 0.996 0.000 0.004
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.2165 0.8992 0.000 0.936 0.064
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.0592 0.9113 0.000 0.988 0.012
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9356 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9190 1.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.1411 0.8983 0.964 0.000 0.036
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.2356 0.8883 0.072 0.000 0.928
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.9127 0.000 1.000 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0592 0.9195 0.988 0.012 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.3340 0.8443 0.000 0.120 0.880
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.6062 0.3258 0.384 0.616 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.1163 0.9150 0.972 0.028 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0424 0.9324 0.008 0.000 0.992
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9190 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0424 0.9197 0.992 0.008 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9356 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.2261 0.8970 0.000 0.932 0.068
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9190 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.6937 0.5715 0.680 0.272 0.048
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.4178 0.7894 0.828 0.172 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9190 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0747 0.9284 0.016 0.000 0.984
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9356 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.2066 0.9009 0.000 0.940 0.060
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9190 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0892 0.9179 0.980 0.020 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.1753 0.9017 0.000 0.048 0.952
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.5461 0.7258 0.016 0.216 0.768
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0424 0.9121 0.000 0.992 0.008
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0747 0.9284 0.016 0.000 0.984
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.5760 0.4694 0.672 0.000 0.328
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.6111 0.2943 0.604 0.000 0.396
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.3995 0.8335 0.116 0.016 0.868
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.1753 0.9041 0.000 0.952 0.048
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.1753 0.9041 0.000 0.952 0.048
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.1289 0.9090 0.000 0.968 0.032
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1399 0.9032 0.004 0.968 0.028
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.2165 0.8958 0.064 0.000 0.936
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.1411 0.9135 0.000 0.036 0.964
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.9127 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9356 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0592 0.9113 0.000 0.988 0.012
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.7013 0.4145 0.608 0.364 0.028
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0747 0.9121 0.000 0.984 0.016
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9356 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9356 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4555 0.7485 0.800 0.200 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9190 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9356 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9356 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.6111 0.3682 0.604 0.396 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.1964 0.9022 0.000 0.944 0.056
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.1031 0.9166 0.976 0.024 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.1163 0.9151 0.972 0.028 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2165 0.8992 0.000 0.936 0.064
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.0000 0.9190 1.000 0.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9190 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.9190 1.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0237 0.9342 0.004 0.000 0.996
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.9127 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.1860 0.9033 0.000 0.948 0.052
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.2448 0.8635 0.924 0.000 0.076
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.9127 0.000 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.1753 0.9041 0.000 0.952 0.048
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0892 0.9095 0.000 0.980 0.020
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.2066 0.9009 0.000 0.940 0.060
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2261 0.8970 0.000 0.932 0.068
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.5650 0.5132 0.312 0.688 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9356 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.2261 0.8970 0.000 0.932 0.068
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0747 0.9284 0.016 0.000 0.984
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.3038 0.8704 0.896 0.104 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.1031 0.9166 0.976 0.024 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5948 0.4236 0.360 0.640 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9190 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.1753 0.9041 0.000 0.952 0.048
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9190 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.0424 0.9311 0.000 0.008 0.992
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.0747 0.9190 0.984 0.016 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4991 0.51741 0.608 0.388 0.004 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.2965 0.84729 0.072 0.036 0.892 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0336 0.90635 0.000 0.000 0.992 0.008
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4882 0.71719 0.000 0.708 0.020 0.272
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.6500 0.38848 0.092 0.328 0.000 0.580
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0707 0.84586 0.980 0.020 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.2466 0.81981 0.900 0.096 0.004 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.90739 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1902 0.82736 0.932 0.064 0.004 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2101 0.84126 0.928 0.060 0.000 0.012
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3837 0.73035 0.000 0.776 0.000 0.224
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.84461 1.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.5209 0.63863 0.140 0.756 0.000 0.104
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2101 0.84126 0.928 0.060 0.000 0.012
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#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.1389 0.87571 0.000 0.048 0.000 0.952
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.1824 0.82851 0.936 0.060 0.004 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.3621 0.79524 0.860 0.072 0.068 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.1474 0.88043 0.052 0.000 0.948 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.4222 0.72348 0.000 0.728 0.000 0.272
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0188 0.84510 0.996 0.004 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.5074 0.63758 0.000 0.236 0.724 0.040
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.4215 0.70770 0.072 0.824 0.000 0.104
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.5078 0.43383 0.272 0.700 0.000 0.028
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.90739 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.1209 0.83808 0.964 0.032 0.004 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2179 0.84037 0.924 0.064 0.000 0.012
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0779 0.84205 0.980 0.016 0.004 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5916 0.01042 0.500 0.016 0.012 0.472
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.4877 0.26130 0.328 0.664 0.000 0.008
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.2238 0.83611 0.920 0.072 0.004 0.004
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0469 0.90216 0.012 0.000 0.988 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.84461 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.4516 0.68754 0.736 0.252 0.000 0.012
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.3401 0.77728 0.000 0.152 0.840 0.008
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.6900 0.23144 0.044 0.416 0.508 0.032
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4690 0.71747 0.000 0.712 0.012 0.276
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0469 0.90216 0.012 0.000 0.988 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.2335 0.82415 0.920 0.060 0.020 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.2021 0.82809 0.932 0.056 0.012 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.6465 0.68825 0.088 0.056 0.712 0.144
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0376 0.89658 0.004 0.000 0.004 0.992
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.5707 0.65285 0.004 0.728 0.144 0.124
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.5496 0.63129 0.232 0.064 0.704 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.3734 0.78598 0.000 0.108 0.848 0.044
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4643 0.65004 0.000 0.656 0.000 0.344
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4222 0.72348 0.000 0.728 0.000 0.272
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.8830 0.49540 0.264 0.484 0.116 0.136
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.3271 0.77631 0.000 0.132 0.012 0.856
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.90739 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.7038 0.06181 0.404 0.508 0.064 0.024
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.84461 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.6384 0.25614 0.532 0.400 0.000 0.068
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.5388 0.39535 0.532 0.456 0.000 0.012
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.4387 0.70232 0.752 0.236 0.000 0.012
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.2287 0.84243 0.924 0.060 0.004 0.012
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.2334 0.82119 0.908 0.088 0.004 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.3908 0.76564 0.784 0.212 0.004 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.90739 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0592 0.89158 0.000 0.016 0.000 0.984
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0469 0.88737 0.000 0.012 0.000 0.988
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.6069 0.74099 0.712 0.144 0.132 0.012
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3074 0.74206 0.000 0.848 0.000 0.152
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.4910 0.71333 0.000 0.704 0.020 0.276
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.1854 0.86671 0.000 0.048 0.012 0.940
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.3726 0.70046 0.000 0.212 0.000 0.788
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0188 0.90820 0.000 0.000 0.996 0.004
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0469 0.90406 0.000 0.000 0.012 0.988
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.2483 0.86399 0.032 0.052 0.916 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.2089 0.70515 0.048 0.932 0.000 0.020
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.5383 -0.15871 0.452 0.536 0.000 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.7236 0.20308 0.312 0.168 0.000 0.520
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.84461 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0657 0.90175 0.000 0.004 0.012 0.984
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3399 0.80700 0.868 0.092 0.040 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.0895 0.89927 0.000 0.020 0.976 0.004
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.3852 0.76925 0.808 0.180 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1270 0.57363 0.948 0.052 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.4304 -0.01520 0.484 0.000 0.516 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1341 0.86542 0.000 0.056 0.944 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1630 0.81028 0.036 0.944 0.004 0.016 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.7537 0.32358 0.240 0.116 0.000 0.140 0.504
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.4015 0.25315 0.348 0.000 0.000 0.000 0.652
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3906 0.51027 0.704 0.004 0.000 0.000 0.292
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.4182 0.37896 0.600 0.000 0.000 0.000 0.400
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.0609 0.65810 0.020 0.000 0.000 0.000 0.980
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3318 0.67919 0.000 0.808 0.000 0.012 0.180
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.4268 0.00220 0.444 0.000 0.000 0.000 0.556
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.5723 0.44964 0.392 0.520 0.000 0.000 0.088
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.0609 0.65810 0.020 0.000 0.000 0.000 0.980
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 5 0.4210 0.09891 0.412 0.000 0.000 0.000 0.588
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.1732 0.62413 0.080 0.000 0.000 0.000 0.920
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.4113 0.67171 0.028 0.232 0.740 0.000 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2082 0.80891 0.032 0.928 0.024 0.016 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3696 0.62643 0.000 0.772 0.212 0.016 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0671 0.80762 0.000 0.980 0.000 0.016 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 4 0.3612 0.61453 0.000 0.000 0.268 0.732 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 5 0.3774 0.35097 0.296 0.000 0.000 0.000 0.704
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.7087 0.27567 0.160 0.056 0.528 0.000 0.256
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.3283 0.60225 0.140 0.028 0.000 0.000 0.832
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.0794 0.65559 0.028 0.000 0.000 0.000 0.972
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.0404 0.66290 0.000 0.012 0.000 0.000 0.988
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3424 0.64486 0.240 0.000 0.760 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0671 0.80732 0.000 0.980 0.004 0.016 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2690 0.70866 0.000 0.844 0.000 0.000 0.156
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.5626 0.31177 0.000 0.572 0.000 0.092 0.336
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0671 0.80762 0.000 0.980 0.000 0.016 0.004
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.4519 0.53100 0.052 0.228 0.000 0.000 0.720
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.5559 0.25853 0.076 0.380 0.000 0.000 0.544
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.5309 0.31945 0.060 0.364 0.000 0.000 0.576
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.4074 0.43390 0.636 0.000 0.000 0.000 0.364
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.6186 0.19342 0.300 0.548 0.004 0.000 0.148
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 5 0.4114 0.19404 0.376 0.000 0.000 0.000 0.624
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.5895 0.48274 0.000 0.288 0.604 0.016 0.092
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.2179 0.78483 0.112 0.888 0.000 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2519 0.60126 0.884 0.016 0.000 0.000 0.100
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.0162 0.66132 0.004 0.000 0.000 0.000 0.996
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.1282 0.65541 0.044 0.004 0.000 0.000 0.952
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0510 0.80778 0.000 0.984 0.000 0.016 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.4467 0.42255 0.016 0.344 0.000 0.000 0.640
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0703 0.92340 0.000 0.024 0.000 0.976 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.4273 0.28270 0.552 0.000 0.000 0.000 0.448
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4287 0.28248 0.540 0.000 0.000 0.000 0.460
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.2377 0.79619 0.000 0.128 0.872 0.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 2 0.6401 -0.00027 0.380 0.448 0.000 0.000 0.172
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.5210 0.59747 0.132 0.684 0.000 0.000 0.184
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.3123 0.57814 0.184 0.004 0.000 0.000 0.812
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1043 0.80242 0.000 0.960 0.000 0.040 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5459 0.52850 0.084 0.600 0.000 0.316 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 5 0.1043 0.64993 0.040 0.000 0.000 0.000 0.960
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.4237 0.71386 0.200 0.752 0.000 0.000 0.048
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0510 0.89223 0.000 0.016 0.984 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0912 0.81010 0.012 0.972 0.000 0.016 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0703 0.88748 0.000 0.024 0.976 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.4522 0.19130 0.552 0.008 0.000 0.000 0.440
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1845 0.80656 0.056 0.928 0.000 0.016 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.2408 0.85286 0.092 0.016 0.000 0.892 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
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#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0671 0.80732 0.000 0.980 0.004 0.016 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.6752 0.39879 0.092 0.576 0.252 0.000 0.080
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.0404 0.93234 0.000 0.012 0.000 0.988 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.2773 0.48297 0.836 0.164 0.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 5 0.4201 0.11029 0.408 0.000 0.000 0.000 0.592
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.3491 0.55630 0.004 0.228 0.000 0.000 0.768
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.5263 0.49995 0.176 0.144 0.000 0.000 0.680
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.1251 0.66023 0.008 0.036 0.000 0.000 0.956
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.0451 0.66095 0.008 0.000 0.004 0.000 0.988
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3661 0.51932 0.724 0.000 0.000 0.000 0.276
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.3055 0.60091 0.864 0.072 0.000 0.000 0.064
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5734 0.25647 0.604 0.016 0.072 0.000 0.308
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.1704 0.80148 0.068 0.928 0.000 0.004 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0798 0.80659 0.000 0.976 0.008 0.016 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0162 0.93944 0.000 0.004 0.000 0.996 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.4610 0.44430 0.388 0.016 0.000 0.596 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.90017 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.3932 0.47696 0.328 0.000 0.672 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.3586 0.67902 0.264 0.736 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.4638 0.44389 0.028 0.324 0.000 0.000 0.648
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.4482 0.55155 0.000 0.160 0.000 0.088 0.752
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.4088 0.21222 0.368 0.000 0.000 0.000 0.632
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.94266 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.2732 0.57774 0.840 0.000 0.000 0.000 0.160
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.3863 0.73885 0.152 0.052 0.796 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.3123 0.57701 0.004 0.184 0.000 0.000 0.812
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 2 0.1152 0.65387 0.044 0.952 0.000 0.000 0.000 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.4526 0.47867 0.656 0.052 0.288 0.000 0.000 0.004
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3101 0.64594 0.000 0.000 0.756 0.000 0.000 0.244
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.1765 0.74210 0.000 0.096 0.000 0.000 0.000 0.904
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3190 0.61642 0.000 0.220 0.000 0.008 0.772 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.2526 0.73237 0.876 0.024 0.000 0.000 0.096 0.004
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0632 0.72843 0.976 0.024 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1285 0.72527 0.944 0.052 0.000 0.000 0.000 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.2562 0.73339 0.172 0.000 0.000 0.000 0.828 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.0146 0.79044 0.000 0.000 0.000 0.000 0.004 0.996
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1910 0.72440 0.892 0.000 0.000 0.000 0.108 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.1643 0.66645 0.000 0.924 0.000 0.000 0.068 0.008
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.3266 0.59496 0.272 0.000 0.000 0.000 0.728 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.1333 0.74148 0.944 0.008 0.000 0.000 0.048 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.4994 0.41455 0.576 0.036 0.000 0.000 0.364 0.024
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.6216 0.22035 0.332 0.032 0.152 0.000 0.000 0.484
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.1910 0.73269 0.000 0.108 0.000 0.000 0.000 0.892
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.0777 0.78783 0.000 0.004 0.024 0.000 0.000 0.972
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.0000 0.79061 0.000 0.000 0.000 0.000 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 4 0.3804 0.23960 0.000 0.000 0.424 0.576 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3854 0.06238 0.536 0.000 0.000 0.000 0.464 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.5746 0.48263 0.620 0.032 0.144 0.000 0.004 0.200
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.5533 -0.03618 0.132 0.420 0.000 0.000 0.448 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.3670 0.54113 0.704 0.012 0.000 0.000 0.284 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.0260 0.83544 0.008 0.000 0.000 0.000 0.992 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1349 0.86850 0.004 0.056 0.940 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.0146 0.79025 0.000 0.004 0.000 0.000 0.000 0.996
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.0000 0.79061 0.000 0.000 0.000 0.000 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.4016 0.45465 0.000 0.004 0.000 0.020 0.684 0.292
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.0146 0.79025 0.000 0.004 0.000 0.000 0.000 0.996
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.0146 0.83359 0.000 0.004 0.000 0.000 0.996 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.1320 0.81208 0.000 0.036 0.000 0.000 0.948 0.016
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.0405 0.83297 0.000 0.008 0.000 0.000 0.988 0.004
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0790 0.73132 0.968 0.032 0.000 0.000 0.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.4183 0.11579 0.508 0.012 0.000 0.000 0.000 0.480
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1765 0.72805 0.904 0.000 0.000 0.000 0.096 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 6 0.2340 0.72411 0.000 0.000 0.148 0.000 0.000 0.852
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.3860 0.13169 0.000 0.528 0.000 0.000 0.000 0.472
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2300 0.68276 0.856 0.144 0.000 0.000 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.2597 0.72866 0.176 0.000 0.000 0.000 0.824 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.0363 0.83543 0.012 0.000 0.000 0.000 0.988 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.0000 0.79061 0.000 0.000 0.000 0.000 0.000 1.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.0508 0.83101 0.000 0.004 0.000 0.000 0.984 0.012
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0146 0.94934 0.000 0.000 0.000 0.996 0.000 0.004
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0632 0.73732 0.976 0.000 0.000 0.000 0.024 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1528 0.73639 0.936 0.016 0.000 0.000 0.048 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.3288 0.56370 0.000 0.000 0.724 0.000 0.000 0.276
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 2 0.6019 0.41130 0.356 0.500 0.000 0.000 0.040 0.104
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.4368 0.44880 0.000 0.272 0.000 0.000 0.056 0.672
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.0713 0.82465 0.000 0.028 0.000 0.000 0.972 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 6 0.0291 0.79059 0.000 0.004 0.000 0.004 0.000 0.992
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.6094 -0.25825 0.000 0.352 0.000 0.368 0.000 0.280
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 5 0.3531 0.50793 0.328 0.000 0.000 0.000 0.672 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.5229 0.52065 0.000 0.604 0.000 0.000 0.240 0.156
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0363 0.91221 0.000 0.000 0.988 0.000 0.000 0.012
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.0937 0.77749 0.000 0.040 0.000 0.000 0.000 0.960
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.1863 0.82533 0.000 0.000 0.896 0.000 0.000 0.104
#> 19269152-7784-4394-A595-6F0A22F0F576 2 0.5152 0.21545 0.400 0.512 0.000 0.000 0.088 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.2178 0.71243 0.000 0.132 0.000 0.000 0.000 0.868
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.2762 0.71151 0.000 0.196 0.000 0.804 0.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.0363 0.83536 0.012 0.000 0.000 0.000 0.988 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.2912 0.50312 0.216 0.784 0.000 0.000 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 6 0.0405 0.78897 0.000 0.008 0.000 0.000 0.004 0.988
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 2 0.3633 0.50527 0.252 0.732 0.000 0.000 0.004 0.012
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.5261 0.49848 0.620 0.216 0.004 0.000 0.000 0.160
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 6 0.1708 0.77564 0.000 0.024 0.040 0.000 0.004 0.932
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.5119 0.00541 0.012 0.052 0.480 0.000 0.000 0.456
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.0458 0.83476 0.016 0.000 0.000 0.000 0.984 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.1814 0.66054 0.000 0.900 0.000 0.000 0.100 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.0547 0.83474 0.020 0.000 0.000 0.000 0.980 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 6 0.3368 0.61145 0.000 0.012 0.000 0.000 0.232 0.756
#> 814B2873-3E3E-419E-BA53-F65E322D9338 6 0.0000 0.79061 0.000 0.000 0.000 0.000 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.3023 0.66414 0.000 0.000 0.768 0.000 0.000 0.232
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 5 0.0000 0.83419 0.000 0.000 0.000 0.000 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.3428 0.53163 0.000 0.000 0.696 0.000 0.000 0.304
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 5 0.5292 0.55485 0.052 0.004 0.188 0.000 0.680 0.076
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.3867 0.36606 0.688 0.296 0.000 0.000 0.012 0.004
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.3076 0.64392 0.240 0.000 0.000 0.760 0.000 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 6 0.4210 0.64346 0.000 0.012 0.200 0.000 0.052 0.736
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.1074 0.73630 0.960 0.028 0.000 0.000 0.012 0.000
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#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.1204 0.82317 0.056 0.000 0.000 0.000 0.944 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1327 0.71178 0.936 0.064 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.5731 -0.18896 0.436 0.436 0.000 0.000 0.012 0.116
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.5975 0.37327 0.040 0.584 0.200 0.000 0.176 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.3390 0.49965 0.000 0.296 0.000 0.000 0.000 0.704
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.0000 0.79061 0.000 0.000 0.000 0.000 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.3991 -0.03206 0.004 0.524 0.000 0.472 0.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.92153 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.4270 0.67484 0.144 0.100 0.748 0.000 0.000 0.008
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.2980 0.62725 0.000 0.800 0.000 0.000 0.008 0.192
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.0547 0.82940 0.000 0.020 0.000 0.000 0.980 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.0508 0.83313 0.000 0.000 0.000 0.004 0.984 0.012
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2178 0.70845 0.868 0.000 0.000 0.000 0.132 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.95389 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3198 0.57314 0.740 0.260 0.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5770 0.51445 0.036 0.156 0.608 0.000 0.000 0.200
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 6 0.3890 0.62315 0.008 0.036 0.000 0.000 0.204 0.752
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.224 0.691 0.828 0.4037 0.567 0.567
#> 3 3 0.193 0.543 0.742 0.2713 0.839 0.735
#> 4 4 0.250 0.349 0.648 0.2080 0.850 0.733
#> 5 5 0.315 0.439 0.630 0.1233 0.720 0.475
#> 6 6 0.391 0.347 0.586 0.0571 0.925 0.767
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.2043 0.81456 0.032 0.968
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.80020 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0672 0.75103 0.992 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.7950 0.73083 0.240 0.760
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.80020 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.6148 0.81316 0.152 0.848
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.80020 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.7528 0.71747 0.784 0.216
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.9552 0.50571 0.376 0.624
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.74699 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.80020 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.80020 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5059 0.82438 0.112 0.888
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.9996 0.07674 0.488 0.512
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.8443 0.65702 0.728 0.272
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.6623 0.80376 0.172 0.828
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0672 0.74789 0.992 0.008
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.7815 0.70529 0.768 0.232
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5294 0.82380 0.120 0.880
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5059 0.82438 0.112 0.888
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.9552 0.43989 0.624 0.376
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.80020 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.8016 0.73054 0.244 0.756
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.80020 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.9933 0.28840 0.548 0.452
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.9358 0.56072 0.352 0.648
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3274 0.82252 0.060 0.940
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.5737 0.82073 0.136 0.864
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.80020 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.7219 0.78374 0.200 0.800
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.80020 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.74699 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5178 0.82356 0.116 0.884
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.9358 0.56072 0.352 0.648
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1633 0.75693 0.976 0.024
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.9896 0.22269 0.560 0.440
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.9993 0.09117 0.484 0.516
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.2948 0.82003 0.052 0.948
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.5059 0.82848 0.112 0.888
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.5629 0.82503 0.132 0.868
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.9795 0.29080 0.416 0.584
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5178 0.82356 0.116 0.884
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.80020 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.7139 0.78661 0.196 0.804
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.9988 0.09320 0.520 0.480
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.9988 0.09320 0.520 0.480
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.9922 0.22704 0.552 0.448
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.9491 0.50138 0.368 0.632
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.9933 0.26150 0.452 0.548
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1414 0.75550 0.980 0.020
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.4022 0.82593 0.080 0.920
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.80020 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.9491 0.53028 0.368 0.632
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.9954 0.14404 0.540 0.460
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1843 0.75799 0.972 0.028
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.8016 0.69165 0.756 0.244
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.8813 0.66187 0.300 0.700
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.9608 0.39798 0.384 0.616
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.4562 0.82829 0.096 0.904
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.74699 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.9460 0.46568 0.636 0.364
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4562 0.82899 0.096 0.904
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.3584 0.76639 0.932 0.068
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.9323 0.57283 0.348 0.652
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5842 0.75961 0.860 0.140
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.3879 0.82563 0.076 0.924
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.80020 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.7139 0.78776 0.196 0.804
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1414 0.75550 0.980 0.020
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.5629 0.76347 0.868 0.132
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.4161 0.82688 0.084 0.916
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.80020 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.6048 0.81914 0.148 0.852
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.80020 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.74699 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4298 0.82804 0.088 0.912
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.9881 0.31000 0.436 0.564
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.80020 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.7056 0.78990 0.192 0.808
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.9686 0.40355 0.604 0.396
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.3733 0.76704 0.928 0.072
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.8763 0.62530 0.704 0.296
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0376 0.74886 0.996 0.004
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.9393 0.53500 0.356 0.644
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4431 0.82708 0.092 0.908
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4939 0.82782 0.108 0.892
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.80020 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.2043 0.81445 0.032 0.968
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.5059 0.82438 0.112 0.888
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.2043 0.75915 0.968 0.032
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.7950 0.70784 0.760 0.240
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.8608 0.63670 0.716 0.284
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.7950 0.69500 0.240 0.760
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.4815 0.82893 0.104 0.896
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.4298 0.82575 0.088 0.912
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.9896 0.26635 0.440 0.560
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.80020 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.80020 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.4690 0.76858 0.900 0.100
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.4815 0.82880 0.104 0.896
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.3584 0.76639 0.932 0.068
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.80020 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.3431 0.79324 0.064 0.936
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.5519 0.82495 0.128 0.872
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#> 288A5E74-1800-4C29-814C-FCD749DD69D5 2 0.9993 0.09117 0.484 0.516
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.9248 0.56345 0.340 0.660
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.7376 0.77776 0.208 0.792
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.74699 1.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.9580 0.45718 0.380 0.620
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.8861 0.63195 0.304 0.696
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.9393 0.55667 0.356 0.644
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.9881 0.28043 0.436 0.564
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.4431 0.76786 0.908 0.092
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.5842 0.76091 0.860 0.140
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 2 0.9635 0.47399 0.388 0.612
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0672 0.75103 0.992 0.008
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.9209 0.51877 0.336 0.664
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.6623 0.80376 0.172 0.828
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.74699 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.80020 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.74699 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.74699 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.2603 0.80295 0.044 0.956
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.3114 0.82176 0.056 0.944
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.5178 0.82488 0.116 0.884
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.3733 0.81274 0.072 0.928
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.5294 0.82594 0.120 0.880
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.4298 0.82804 0.088 0.912
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.9491 0.52614 0.368 0.632
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.80020 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.9710 0.43926 0.400 0.600
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6623 0.80384 0.172 0.828
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0938 0.80553 0.012 0.988
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.9850 0.33578 0.428 0.572
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.5178 0.82682 0.116 0.884
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.4815 0.82880 0.104 0.896
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.8386 0.66589 0.732 0.268
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.80020 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.4022 0.82647 0.080 0.920
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.8661 0.65741 0.712 0.288
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.4939 0.82899 0.108 0.892
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.7602 0.70367 0.780 0.220
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5059 0.82438 0.112 0.888
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.80020 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.9881 0.31423 0.564 0.436
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.6531 0.74875 0.832 0.168
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.6343 0.80891 0.160 0.840
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.74699 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.8016 0.73054 0.244 0.756
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.7602 0.76859 0.220 0.780
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.8207 0.66987 0.256 0.744
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.9552 0.50571 0.376 0.624
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.6343 0.74983 0.840 0.160
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.4690 0.76785 0.900 0.100
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.74699 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.9580 0.49208 0.380 0.620
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.80020 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.5059 0.76750 0.888 0.112
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.9988 0.05822 0.520 0.480
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.5059 0.82438 0.112 0.888
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.9087 0.62086 0.324 0.676
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.80020 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.3584 0.76328 0.932 0.068
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.3584 0.76328 0.932 0.068
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.4298 0.82575 0.088 0.912
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.5737 0.82073 0.136 0.864
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.4161 0.76152 0.916 0.084
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4562 0.80416 0.096 0.904
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.7883 0.70189 0.764 0.236
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.9988 0.09320 0.520 0.480
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.80020 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.74699 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.9209 0.54701 0.664 0.336
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.80020 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.80020 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.74699 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.8955 0.64129 0.312 0.688
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.5059 0.76604 0.888 0.112
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0938 0.75250 0.988 0.012
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.5842 0.77585 0.140 0.860
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.80020 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1843 0.81111 0.028 0.972
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.74699 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5519 0.76327 0.872 0.128
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.4431 0.82988 0.092 0.908
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.8386 0.69329 0.268 0.732
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6531 0.80940 0.168 0.832
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.8861 0.63195 0.304 0.696
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.9491 0.50138 0.368 0.632
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.9491 0.50138 0.368 0.632
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.8713 0.60530 0.292 0.708
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5629 0.82197 0.132 0.868
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5629 0.82197 0.132 0.868
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.7528 0.76902 0.216 0.784
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.9000 0.61514 0.316 0.684
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.9635 0.47399 0.388 0.612
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.7528 0.72956 0.216 0.784
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5059 0.82819 0.112 0.888
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.80020 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4298 0.82770 0.088 0.912
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3584 0.82434 0.068 0.932
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.9754 0.42498 0.592 0.408
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.80020 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.80020 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.9970 0.12087 0.532 0.468
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.74699 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.80020 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.80020 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.5946 0.81936 0.144 0.856
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5178 0.82356 0.116 0.884
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.8608 0.66223 0.716 0.284
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.6887 0.80063 0.184 0.816
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5059 0.82438 0.112 0.888
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 1.0000 0.07862 0.504 0.496
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.74699 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.9933 0.28805 0.548 0.452
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.80020 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.6247 0.81677 0.156 0.844
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5737 0.82196 0.136 0.864
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.9635 0.39314 0.388 0.612
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.8608 0.68671 0.284 0.716
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5178 0.82356 0.116 0.884
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.4815 0.82690 0.104 0.896
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.7056 0.79259 0.192 0.808
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.80020 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9998 0.01469 0.508 0.492
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.80020 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.2603 0.81865 0.044 0.956
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.8144 0.71658 0.252 0.748
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.5294 0.76610 0.880 0.120
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.8207 0.67702 0.744 0.256
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5842 0.82023 0.140 0.860
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.74699 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.6247 0.81677 0.156 0.844
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.9954 0.14404 0.540 0.460
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3114 0.82288 0.056 0.944
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.8763 0.61337 0.296 0.704
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3325 0.78035 0.076 0.904 0.020
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.1482 0.76218 0.012 0.968 0.020
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5882 -0.18665 0.652 0.000 0.348
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6252 0.58063 0.344 0.648 0.008
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0892 0.75527 0.000 0.980 0.020
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4912 0.76770 0.196 0.796 0.008
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0892 0.75527 0.000 0.980 0.020
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.4253 0.50798 0.872 0.080 0.048
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.6948 -0.12681 0.512 0.472 0.016
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6299 -0.51013 0.524 0.000 0.476
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.1315 0.75724 0.008 0.972 0.020
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.1129 0.75738 0.004 0.976 0.020
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.4110 0.78138 0.152 0.844 0.004
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.7067 0.29607 0.596 0.376 0.028
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.6407 0.53376 0.760 0.160 0.080
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.5292 0.74977 0.228 0.764 0.008
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 3 0.6451 0.64819 0.436 0.004 0.560
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.4146 0.51065 0.876 0.080 0.044
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.4784 0.77460 0.200 0.796 0.004
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.4233 0.78140 0.160 0.836 0.004
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.7091 0.55489 0.688 0.248 0.064
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0892 0.75527 0.000 0.980 0.020
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.6935 0.51687 0.372 0.604 0.024
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0892 0.75527 0.000 0.980 0.020
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.8838 0.49131 0.580 0.220 0.200
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.6822 0.25126 0.480 0.508 0.012
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3459 0.78733 0.096 0.892 0.012
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.5122 0.77312 0.200 0.788 0.012
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.1315 0.75724 0.008 0.972 0.020
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.5580 0.72564 0.256 0.736 0.008
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0892 0.75527 0.000 0.980 0.020
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 3 0.6299 0.58493 0.476 0.000 0.524
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.4351 0.77990 0.168 0.828 0.004
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.6822 0.25126 0.480 0.508 0.012
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5529 -0.06012 0.704 0.000 0.296
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.7027 0.46895 0.660 0.296 0.044
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.6647 0.27029 0.592 0.396 0.012
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.3272 0.78121 0.080 0.904 0.016
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4172 0.78944 0.156 0.840 0.004
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.5092 0.77919 0.176 0.804 0.020
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.8887 0.25682 0.488 0.388 0.124
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4531 0.78059 0.168 0.824 0.008
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.1129 0.75738 0.004 0.976 0.020
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.5517 0.71354 0.268 0.728 0.004
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.6521 0.39861 0.644 0.340 0.016
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.6521 0.39861 0.644 0.340 0.016
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#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0892 0.75527 0.000 0.980 0.020
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0892 0.75527 0.000 0.980 0.020
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4953 0.78008 0.176 0.808 0.016
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.4521 0.77931 0.180 0.816 0.004
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.7226 0.37782 0.688 0.076 0.236
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5986 0.70408 0.284 0.704 0.012
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4233 0.78140 0.160 0.836 0.004
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.7589 0.39810 0.588 0.360 0.052
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 3 0.4346 0.86453 0.184 0.000 0.816
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.8838 0.49064 0.580 0.220 0.200
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.1636 0.75926 0.016 0.964 0.020
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.5325 0.74802 0.248 0.748 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5244 0.75341 0.240 0.756 0.004
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.7491 0.05983 0.492 0.472 0.036
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.6818 0.57391 0.348 0.628 0.024
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.4409 0.78097 0.172 0.824 0.004
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.3983 0.78798 0.144 0.852 0.004
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.6193 0.68818 0.292 0.692 0.016
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.1919 0.76495 0.024 0.956 0.020
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.6566 0.36942 0.636 0.348 0.016
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0892 0.75527 0.000 0.980 0.020
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.3043 0.78805 0.084 0.908 0.008
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6339 0.55627 0.360 0.632 0.008
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.4848 0.38509 0.836 0.036 0.128
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.7725 0.46877 0.680 0.160 0.160
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.4953 0.78034 0.176 0.808 0.016
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 3 0.4399 0.86771 0.188 0.000 0.812
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5325 0.74802 0.248 0.748 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.6800 0.43134 0.660 0.308 0.032
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3459 0.78991 0.096 0.892 0.012
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.8280 0.30036 0.360 0.552 0.088
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.537 0.466573 0.012 0.240 0.032 0.716
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.527 0.421004 0.000 0.340 0.020 0.640
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.659 0.253684 0.664 0.036 0.232 0.068
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.701 0.248404 0.148 0.244 0.008 0.600
#> 622A8E32-1738-4F33-9108-39573001E650 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.213 0.539120 0.036 0.032 0.000 0.932
#> FAE38724-0757-45E5-818D-9DFE1C132796 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.595 0.514921 0.708 0.100 0.008 0.184
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.745 -0.012766 0.264 0.228 0.000 0.508
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.693 -0.141620 0.552 0.036 0.364 0.048
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 4 0.466 0.434520 0.000 0.348 0.000 0.652
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 4 0.464 0.436464 0.000 0.344 0.000 0.656
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.100 0.547049 0.004 0.024 0.000 0.972
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.841 -0.247938 0.356 0.236 0.024 0.384
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.716 0.491379 0.612 0.224 0.020 0.144
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.284 0.526738 0.056 0.044 0.000 0.900
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.620 -0.432798 0.500 0.024 0.460 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.653 0.491610 0.656 0.128 0.008 0.208
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.253 0.528633 0.008 0.072 0.008 0.912
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.140 0.545804 0.004 0.032 0.004 0.960
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.824 0.310509 0.484 0.184 0.036 0.296
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.731 0.033683 0.152 0.324 0.004 0.520
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.915 0.236779 0.324 0.392 0.192 0.092
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.776 0.028782 0.236 0.236 0.012 0.516
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.287 0.539680 0.000 0.136 0.000 0.864
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.331 0.539975 0.036 0.092 0.000 0.872
#> D5024D0C-762B-4C90-9285-429F32CF79E7 4 0.466 0.434520 0.000 0.348 0.000 0.652
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.328 0.506410 0.096 0.032 0.000 0.872
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 4 0.466 0.433864 0.000 0.348 0.000 0.652
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.644 -0.340588 0.516 0.020 0.432 0.032
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.164 0.541932 0.008 0.036 0.004 0.952
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.776 0.028782 0.236 0.236 0.012 0.516
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.609 0.354764 0.716 0.028 0.180 0.076
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.856 0.221316 0.416 0.228 0.036 0.320
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.733 -0.200680 0.392 0.156 0.000 0.452
#> AA273C14-F561-46DA-A645-429A1112FC50 4 0.495 0.487873 0.008 0.252 0.016 0.724
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.427 0.539059 0.032 0.116 0.020 0.832
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.466 0.530258 0.056 0.108 0.020 0.816
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.961 0.487652 0.248 0.348 0.128 0.276
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.191 0.544395 0.008 0.048 0.004 0.940
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 4 0.464 0.436464 0.000 0.344 0.000 0.656
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.423 0.482379 0.080 0.096 0.000 0.824
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.744 0.120866 0.436 0.132 0.008 0.424
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.744 0.120866 0.436 0.132 0.008 0.424
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.756 0.096536 0.464 0.136 0.012 0.388
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.863 0.167298 0.192 0.400 0.048 0.360
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.813 -0.156776 0.324 0.244 0.012 0.420
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.651 0.231005 0.672 0.044 0.228 0.056
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.228 0.548603 0.000 0.096 0.000 0.904
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.711 0.097916 0.252 0.188 0.000 0.560
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.833 0.183587 0.400 0.244 0.020 0.336
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.659 0.240579 0.668 0.048 0.228 0.056
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.605 0.488812 0.680 0.092 0.004 0.224
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.607 0.291224 0.176 0.140 0.000 0.684
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 4 0.829 -0.236919 0.316 0.240 0.020 0.424
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.305 0.551745 0.012 0.104 0.004 0.880
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.669 -0.215849 0.536 0.024 0.396 0.044
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.820 0.321697 0.496 0.184 0.036 0.284
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.526 0.511037 0.036 0.192 0.020 0.752
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.561 0.518100 0.772 0.064 0.056 0.108
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.672 0.171350 0.224 0.164 0.000 0.612
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.500 0.553909 0.780 0.088 0.004 0.128
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.293 0.548902 0.012 0.096 0.004 0.888
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.487 0.430029 0.076 0.148 0.000 0.776
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.654 0.224467 0.668 0.044 0.232 0.056
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.457 0.563289 0.816 0.060 0.012 0.112
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.253 0.548612 0.004 0.100 0.000 0.896
#> 0CCA1860-684B-4E47-A414-8525B8C05111 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.326 0.540887 0.044 0.068 0.004 0.884
#> 9F93BF19-4B00-4828-AACD-10B455706954 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.675 -0.198641 0.540 0.024 0.388 0.048
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.439 0.529068 0.024 0.132 0.024 0.820
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.775 -0.067295 0.284 0.196 0.012 0.508
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.443 0.470696 0.064 0.116 0.004 0.816
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.716 0.279706 0.520 0.128 0.004 0.348
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.575 0.417364 0.760 0.060 0.124 0.056
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.704 0.419386 0.600 0.116 0.016 0.268
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.709 0.032723 0.568 0.028 0.328 0.076
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.783 0.005883 0.236 0.248 0.012 0.504
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.238 0.550055 0.004 0.080 0.004 0.912
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 4 0.389 0.540814 0.028 0.132 0.004 0.836
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 4 0.466 0.434520 0.000 0.348 0.000 0.652
#> A07AEAE4-FB94-4902-9857-8686C61920E0 4 0.419 0.485609 0.000 0.268 0.000 0.732
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.149 0.544518 0.004 0.036 0.004 0.956
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.492 0.367977 0.808 0.060 0.100 0.032
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.736 0.091003 0.516 0.284 0.200 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.624 0.416958 0.632 0.064 0.008 0.296
#> 5A6AF013-C47E-41BE-9102-07E49330D451 4 0.924 -0.352903 0.132 0.320 0.148 0.400
#> 814B2873-3E3E-419E-BA53-F65E322D9338 4 0.506 0.501767 0.032 0.192 0.016 0.760
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.549 0.449023 0.040 0.296 0.000 0.664
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.786 -0.122799 0.352 0.156 0.020 0.472
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 27417147-5756-4763-84C7-5D3E16E329D0 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.832 0.279791 0.496 0.056 0.300 0.148
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 4 0.539 0.402229 0.040 0.280 0.000 0.680
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.561 0.518100 0.772 0.064 0.056 0.108
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.648 0.071490 0.020 0.564 0.040 0.376
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.317 0.515521 0.016 0.104 0.004 0.876
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.350 0.547465 0.036 0.084 0.008 0.872
#> 44FB9517-2965-4ED0-8F01-919573276D81 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.805 0.285240 0.488 0.172 0.028 0.312
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.744 0.120866 0.436 0.132 0.008 0.424
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.388 0.534970 0.004 0.156 0.016 0.824
#> 189E3660-4816-40D0-A0F7-39A958CB6599 4 0.642 0.350800 0.028 0.332 0.036 0.604
#> E45A1A52-4285-492D-A868-EB18DE119DF3 4 0.620 0.399661 0.040 0.308 0.020 0.632
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.470 0.516834 0.820 0.032 0.052 0.096
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 4 0.476 0.425878 0.000 0.372 0.000 0.628
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 4 0.731 0.033683 0.152 0.324 0.004 0.520
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 4 0.783 0.005883 0.236 0.248 0.012 0.504
#> 3C994968-8C59-4495-975F-D39C908559CE 4 0.778 0.038529 0.212 0.268 0.012 0.508
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.191 0.544395 0.008 0.048 0.004 0.940
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.636 0.228524 0.672 0.032 0.240 0.056
#> D0F7931B-2253-486C-992C-1F3D1C98903B 4 0.820 -0.150647 0.300 0.252 0.016 0.432
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.581 0.545676 0.732 0.076 0.020 0.172
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.735 0.246080 0.084 0.304 0.040 0.572
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.902 0.421459 0.136 0.396 0.112 0.356
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.383 0.535721 0.004 0.152 0.016 0.828
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.100 0.547049 0.004 0.024 0.000 0.972
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 4 0.605 0.402280 0.040 0.348 0.008 0.604
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.920 0.319235 0.352 0.372 0.108 0.168
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.443 0.449989 0.036 0.160 0.004 0.800
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.575 0.417364 0.760 0.060 0.124 0.056
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 4 0.418 0.504863 0.052 0.128 0.000 0.820
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#> 577E5B95-C657-43E4-955A-4E5152901661 4 0.704 0.120207 0.240 0.188 0.000 0.572
#> 445376A2-DB83-4BF9-923A-3057D7994097 4 0.785 -0.130168 0.348 0.156 0.020 0.476
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.441 0.522714 0.836 0.044 0.032 0.088
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.499 0.549266 0.796 0.092 0.016 0.096
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 4 0.816 -0.074674 0.248 0.264 0.020 0.468
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.659 0.253684 0.664 0.036 0.232 0.068
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.892 0.500462 0.212 0.400 0.064 0.324
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 4 0.284 0.526738 0.056 0.044 0.000 0.900
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 3 0.376 0.905282 0.216 0.000 0.784 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 18109400-AD37-431D-A548-BB08CDF027A9 3 0.376 0.905282 0.216 0.000 0.784 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 3 0.402 0.896641 0.224 0.004 0.772 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.590 -0.045657 0.012 0.572 0.020 0.396
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 4 0.471 0.496048 0.008 0.252 0.008 0.732
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.154 0.553682 0.008 0.032 0.004 0.956
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 4 0.620 0.400099 0.048 0.348 0.008 0.596
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 4 0.277 0.552049 0.028 0.072 0.000 0.900
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 4 0.434 0.529742 0.024 0.128 0.024 0.824
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 4 0.700 0.114999 0.244 0.180 0.000 0.576
#> 2CC131C1-1144-4F09-A650-C41799F107F7 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 4 0.730 0.040989 0.272 0.176 0.004 0.548
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 4 0.284 0.526690 0.056 0.044 0.000 0.900
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.548 0.385543 0.000 0.396 0.020 0.584
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 4 0.684 0.044655 0.332 0.104 0.004 0.560
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 4 0.376 0.535888 0.040 0.116 0.000 0.844
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 4 0.539 0.402229 0.040 0.280 0.000 0.680
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.692 0.449033 0.612 0.144 0.008 0.236
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.329 0.546798 0.016 0.112 0.004 0.868
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.798 0.032894 0.488 0.300 0.192 0.020
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 4 0.403 0.523400 0.028 0.132 0.008 0.832
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.702 0.468783 0.632 0.080 0.044 0.244
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.100 0.547049 0.004 0.024 0.000 0.972
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.926 -0.238706 0.364 0.352 0.112 0.172
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.596 0.545306 0.740 0.068 0.044 0.148
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.223 0.536164 0.036 0.036 0.000 0.928
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 3 0.448 0.855288 0.284 0.004 0.712 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 4 0.731 0.033683 0.152 0.324 0.004 0.520
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.433 0.461812 0.112 0.072 0.000 0.816
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 4 0.938 -0.444241 0.140 0.348 0.156 0.356
#> 229B786F-7955-409B-A85D-A33D5810F519 4 0.745 -0.012766 0.264 0.228 0.000 0.508
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.697 0.533392 0.680 0.120 0.068 0.132
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.441 0.526979 0.836 0.044 0.032 0.088
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 3 0.398 0.898016 0.220 0.000 0.776 0.004
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 4 0.728 0.049859 0.260 0.204 0.000 0.536
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.588 0.550448 0.748 0.080 0.040 0.132
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 4 0.853 -0.326827 0.368 0.228 0.032 0.372
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.100 0.547049 0.004 0.024 0.000 0.972
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.716 0.172310 0.208 0.192 0.008 0.592
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 4 0.470 0.428632 0.000 0.356 0.000 0.644
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 3 0.212 0.707714 0.040 0.028 0.932 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 3 0.212 0.707714 0.040 0.028 0.932 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.549 0.449023 0.040 0.296 0.000 0.664
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.337 0.538737 0.036 0.096 0.000 0.868
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.752 -0.411762 0.452 0.108 0.420 0.020
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 4 0.766 0.127896 0.068 0.360 0.060 0.512
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.661 0.486462 0.648 0.132 0.008 0.212
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.744 0.120866 0.436 0.132 0.008 0.424
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 4 0.476 0.425878 0.000 0.372 0.000 0.628
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 3 0.376 0.905282 0.216 0.000 0.784 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.680 0.354856 0.572 0.092 0.008 0.328
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.565 0.430140 0.008 0.284 0.036 0.672
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.678 -0.243492 0.524 0.024 0.404 0.048
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.672 0.203519 0.192 0.192 0.000 0.616
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.483 0.561972 0.800 0.036 0.028 0.136
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.659 0.083027 0.632 0.036 0.284 0.048
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 4 0.739 0.099916 0.088 0.432 0.024 0.456
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.602 0.413876 0.016 0.308 0.036 0.640
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 3 0.502 0.778958 0.332 0.012 0.656 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.547 0.548432 0.772 0.064 0.036 0.128
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.460 0.531682 0.040 0.184 0.000 0.776
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.710 0.195234 0.168 0.228 0.008 0.596
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.484 0.462826 0.080 0.140 0.000 0.780
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 4 0.796 0.049816 0.180 0.272 0.028 0.520
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.863 0.167298 0.192 0.400 0.048 0.360
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.863 0.167298 0.192 0.400 0.048 0.360
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.917 0.500117 0.164 0.388 0.108 0.340
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.344 0.500874 0.016 0.112 0.008 0.864
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.338 0.503034 0.016 0.108 0.008 0.868
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.756 0.244952 0.116 0.204 0.064 0.616
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.769 0.051048 0.220 0.240 0.012 0.528
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.816 -0.073810 0.248 0.264 0.020 0.468
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 4 0.891 -0.168948 0.112 0.268 0.148 0.472
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.422 0.518892 0.036 0.132 0.008 0.824
#> 06CCB23C-062F-421D-A04A-394AE7F55987 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.444 0.526630 0.024 0.144 0.020 0.812
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.606 0.427109 0.036 0.296 0.020 0.648
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.925 0.196119 0.344 0.360 0.200 0.096
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 4 0.464 0.436464 0.000 0.344 0.000 0.656
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.831 0.161295 0.400 0.236 0.020 0.344
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 3 0.376 0.905282 0.216 0.000 0.784 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 297B9132-C6AC-43EF-B898-E4821808F857 4 0.466 0.433864 0.000 0.348 0.000 0.652
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.350 0.547465 0.036 0.084 0.008 0.872
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.199 0.537376 0.008 0.052 0.004 0.936
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.797 0.035996 0.492 0.296 0.192 0.020
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.542 0.407846 0.088 0.180 0.000 0.732
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.149 0.544740 0.004 0.036 0.004 0.956
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.812 0.019617 0.392 0.228 0.012 0.368
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 3 0.383 0.897562 0.204 0.004 0.792 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.919 0.243252 0.324 0.388 0.192 0.096
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.476 0.425878 0.000 0.372 0.000 0.628
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.367 0.497501 0.028 0.116 0.004 0.852
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.360 0.486392 0.012 0.132 0.008 0.848
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.859 -0.254969 0.280 0.332 0.028 0.360
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.626 0.348801 0.180 0.108 0.016 0.696
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.210 0.538871 0.012 0.060 0.000 0.928
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.289 0.553348 0.020 0.080 0.004 0.896
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.514 0.411900 0.052 0.160 0.016 0.772
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.565 0.430140 0.008 0.284 0.036 0.672
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.814 -0.237475 0.356 0.196 0.020 0.428
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 4 0.468 0.431172 0.000 0.352 0.000 0.648
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.457 0.509528 0.008 0.196 0.020 0.776
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.678 0.246360 0.152 0.224 0.004 0.620
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.581 0.551019 0.748 0.096 0.028 0.128
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.779 0.456417 0.608 0.116 0.088 0.188
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.354 0.547882 0.032 0.092 0.008 0.868
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 3 0.376 0.905282 0.216 0.000 0.784 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.367 0.497501 0.028 0.116 0.004 0.852
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.833 0.183587 0.400 0.244 0.020 0.336
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.481 0.503916 0.012 0.208 0.020 0.760
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.912 0.465336 0.160 0.372 0.104 0.364
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 3 0.6009 0.268305 0.004 0.112 0.540 0.344 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4088 0.618184 0.000 0.056 0.776 0.168 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.4132 0.352017 0.204 0.032 0.000 0.004 0.760
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.7156 0.463607 0.004 0.056 0.292 0.516 0.132
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0290 0.748843 0.000 0.000 0.992 0.008 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4541 0.442264 0.000 0.008 0.380 0.608 0.004
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.6148 0.501158 0.004 0.196 0.004 0.196 0.600
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.6543 0.454222 0.000 0.092 0.080 0.612 0.216
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 5 0.4747 0.008932 0.352 0.028 0.000 0.000 0.620
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1740 0.724859 0.000 0.012 0.932 0.056 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0404 0.746330 0.000 0.000 0.988 0.012 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4331 0.395447 0.000 0.004 0.400 0.596 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.6949 0.136365 0.016 0.052 0.068 0.496 0.368
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.6750 0.502016 0.012 0.192 0.012 0.228 0.556
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4954 0.483744 0.000 0.012 0.352 0.616 0.020
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.5594 -0.268561 0.436 0.072 0.000 0.000 0.492
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.6024 0.499484 0.000 0.152 0.004 0.256 0.588
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4904 0.469009 0.000 0.036 0.316 0.644 0.004
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4482 0.421079 0.000 0.012 0.376 0.612 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.5918 0.249298 0.020 0.024 0.020 0.424 0.512
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.7030 0.422198 0.000 0.084 0.220 0.564 0.132
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.5775 0.597271 0.020 0.716 0.040 0.140 0.084
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.6943 0.432651 0.008 0.040 0.152 0.564 0.236
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.3895 0.286442 0.000 0.000 0.680 0.320 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.4645 0.383131 0.000 0.008 0.424 0.564 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1740 0.724859 0.000 0.012 0.932 0.056 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.5813 0.500684 0.000 0.016 0.344 0.572 0.068
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0162 0.749169 0.000 0.000 0.996 0.004 0.000
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#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.7380 0.299769 0.016 0.424 0.376 0.156 0.028
#> 229B786F-7955-409B-A85D-A33D5810F519 4 0.6543 0.454222 0.000 0.092 0.080 0.612 0.216
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.5917 0.563212 0.052 0.088 0.004 0.172 0.684
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.5123 0.592797 0.036 0.156 0.000 0.072 0.736
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.3366 0.905373 0.784 0.004 0.000 0.000 0.212
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 4 0.5885 0.468145 0.000 0.032 0.096 0.652 0.220
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.4693 0.604337 0.028 0.072 0.004 0.116 0.780
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 4 0.6566 0.091922 0.016 0.032 0.060 0.508 0.384
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.4331 0.395447 0.000 0.004 0.400 0.596 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.6583 0.537231 0.008 0.032 0.152 0.608 0.200
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0451 0.744998 0.000 0.004 0.988 0.008 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.1970 0.664967 0.924 0.060 0.000 0.004 0.012
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.1970 0.664967 0.924 0.060 0.000 0.004 0.012
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.5335 0.312623 0.000 0.024 0.624 0.320 0.032
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.4630 0.397338 0.000 0.008 0.416 0.572 0.004
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.6846 -0.267746 0.404 0.100 0.000 0.048 0.448
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.5584 0.436948 0.004 0.268 0.636 0.088 0.004
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.6015 0.493604 0.000 0.144 0.004 0.268 0.584
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.7405 0.048505 0.004 0.136 0.064 0.464 0.332
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.1484 0.723173 0.000 0.008 0.944 0.048 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.3143 0.911166 0.796 0.000 0.000 0.000 0.204
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.6576 0.356320 0.008 0.128 0.008 0.368 0.488
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.5555 0.458784 0.004 0.104 0.636 0.256 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 5 0.4789 -0.096134 0.392 0.024 0.000 0.000 0.584
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.6074 0.564382 0.000 0.032 0.156 0.648 0.164
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.4285 0.611014 0.012 0.080 0.000 0.116 0.792
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 5 0.4313 0.243950 0.276 0.012 0.000 0.008 0.704
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.6749 0.210522 0.020 0.028 0.556 0.304 0.092
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.6233 0.322537 0.004 0.128 0.544 0.320 0.004
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.4384 0.757289 0.660 0.016 0.000 0.000 0.324
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.5615 0.578526 0.028 0.136 0.004 0.128 0.704
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4776 0.162504 0.000 0.004 0.612 0.364 0.020
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 4 0.7102 0.514668 0.008 0.048 0.236 0.552 0.156
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.5017 0.529021 0.000 0.008 0.300 0.652 0.040
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 4 0.7366 0.441297 0.020 0.028 0.256 0.508 0.188
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.8224 0.158166 0.032 0.144 0.124 0.492 0.208
#> D6517B16-37E4-4342-9639-7C8C652A01A2 4 0.8224 0.158166 0.032 0.144 0.124 0.492 0.208
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.7055 0.392486 0.008 0.468 0.340 0.164 0.020
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4937 0.501083 0.000 0.064 0.264 0.672 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4960 0.498383 0.000 0.064 0.268 0.668 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.7505 0.312395 0.004 0.232 0.248 0.468 0.048
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.7602 0.446634 0.012 0.068 0.204 0.516 0.200
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.6821 0.363116 0.012 0.032 0.128 0.568 0.260
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.6176 0.123981 0.016 0.392 0.512 0.076 0.004
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5300 0.397524 0.004 0.024 0.392 0.568 0.012
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.5843 0.002936 0.004 0.084 0.508 0.404 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.6086 0.356390 0.004 0.112 0.584 0.292 0.008
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5512 0.550551 0.020 0.716 0.012 0.152 0.100
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0290 0.747904 0.000 0.000 0.992 0.008 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.6182 -0.004996 0.012 0.052 0.020 0.508 0.408
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.3143 0.911166 0.796 0.000 0.000 0.000 0.204
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0162 0.749169 0.000 0.000 0.996 0.004 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.5546 0.393460 0.000 0.040 0.400 0.544 0.016
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4687 0.451769 0.000 0.028 0.336 0.636 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4627 0.521383 0.020 0.744 0.004 0.028 0.204
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.5932 0.520665 0.000 0.060 0.272 0.624 0.044
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.4551 0.424666 0.000 0.016 0.368 0.616 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.7521 0.073435 0.000 0.208 0.064 0.464 0.264
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.2966 0.900672 0.816 0.000 0.000 0.000 0.184
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.5721 0.597270 0.020 0.720 0.040 0.140 0.080
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1484 0.723173 0.000 0.008 0.944 0.048 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.5129 0.499951 0.000 0.052 0.264 0.672 0.012
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4993 0.506603 0.000 0.064 0.248 0.684 0.004
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.7871 0.234156 0.020 0.076 0.156 0.484 0.264
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.7141 0.525705 0.000 0.092 0.244 0.544 0.120
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4435 0.468412 0.000 0.016 0.336 0.648 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.5048 0.247133 0.000 0.032 0.476 0.492 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.5504 0.525696 0.000 0.072 0.200 0.692 0.036
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.5555 0.458784 0.004 0.104 0.636 0.256 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.6887 0.147393 0.008 0.136 0.028 0.528 0.300
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.750178 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 3 0.5542 0.144326 0.000 0.072 0.532 0.396 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.6922 0.497785 0.004 0.040 0.268 0.544 0.144
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.4692 0.597922 0.024 0.072 0.012 0.104 0.788
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.7393 0.483060 0.048 0.176 0.020 0.212 0.544
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.5470 0.381830 0.000 0.040 0.408 0.540 0.012
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3143 0.911166 0.796 0.000 0.000 0.000 0.204
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.5129 0.499951 0.000 0.052 0.264 0.672 0.012
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 4 0.6014 -0.028851 0.012 0.052 0.012 0.512 0.412
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5170 0.453124 0.004 0.064 0.676 0.252 0.004
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.7204 0.353354 0.008 0.448 0.332 0.192 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 3 0.6284 0.119539 0.000 0.044 0.476 0.112 0.004 0.364
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4256 0.594798 0.000 0.020 0.748 0.056 0.000 0.176
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.5376 -0.125041 0.320 0.044 0.000 0.040 0.592 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 6 0.7537 0.010895 0.000 0.040 0.244 0.116 0.136 0.464
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0260 0.773252 0.000 0.000 0.992 0.000 0.000 0.008
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.4633 0.520553 0.000 0.004 0.320 0.024 0.016 0.636
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.5874 0.440010 0.000 0.204 0.000 0.060 0.612 0.124
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.6621 -0.032478 0.000 0.064 0.040 0.092 0.236 0.568
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5309 0.461467 0.476 0.032 0.000 0.040 0.452 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1856 0.741875 0.000 0.000 0.920 0.032 0.000 0.048
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0405 0.770976 0.000 0.000 0.988 0.004 0.000 0.008
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 6 0.4124 0.480806 0.000 0.008 0.332 0.012 0.000 0.648
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 5 0.7467 -0.435971 0.008 0.024 0.052 0.200 0.380 0.336
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.7003 0.394877 0.028 0.112 0.004 0.224 0.540 0.092
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.4656 0.540992 0.000 0.008 0.284 0.016 0.028 0.664
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.5537 0.522055 0.532 0.060 0.000 0.036 0.372 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.6071 0.404933 0.004 0.172 0.000 0.052 0.600 0.172
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 6 0.4432 0.508463 0.000 0.028 0.244 0.028 0.000 0.700
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 6 0.4207 0.496918 0.000 0.012 0.308 0.016 0.000 0.664
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.6673 -0.208534 0.028 0.012 0.008 0.168 0.500 0.284
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.7840 -0.351549 0.000 0.040 0.180 0.200 0.148 0.432
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4300 0.585737 0.000 0.792 0.020 0.040 0.052 0.096
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.7523 -0.347305 0.000 0.016 0.128 0.172 0.264 0.420
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.4052 0.158509 0.000 0.000 0.628 0.016 0.000 0.356
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.5067 0.456093 0.000 0.004 0.376 0.040 0.016 0.564
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1856 0.741875 0.000 0.000 0.920 0.032 0.000 0.048
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.5621 0.526669 0.000 0.000 0.284 0.028 0.104 0.584
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0146 0.773930 0.000 0.000 0.996 0.000 0.000 0.004
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.5080 0.550487 0.544 0.016 0.000 0.048 0.392 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 6 0.4203 0.504847 0.000 0.016 0.288 0.016 0.000 0.680
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.7523 -0.347305 0.000 0.016 0.128 0.172 0.264 0.420
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.5295 0.172084 0.216 0.040 0.000 0.060 0.672 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.7255 -0.318311 0.028 0.024 0.016 0.200 0.436 0.296
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 6 0.7480 -0.286907 0.000 0.076 0.044 0.136 0.364 0.380
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.3798 0.612948 0.000 0.008 0.788 0.068 0.000 0.136
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.6146 0.310379 0.000 0.036 0.404 0.068 0.020 0.472
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.6252 0.447542 0.000 0.040 0.340 0.064 0.032 0.524
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.6423 0.487497 0.000 0.608 0.112 0.088 0.024 0.168
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 6 0.4259 0.496476 0.000 0.016 0.300 0.016 0.000 0.668
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0820 0.766001 0.000 0.000 0.972 0.012 0.000 0.016
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.4874 0.512396 0.000 0.000 0.248 0.016 0.072 0.664
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 6 0.7480 -0.209196 0.000 0.108 0.040 0.104 0.372 0.376
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 6 0.7480 -0.209196 0.000 0.108 0.040 0.104 0.372 0.376
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.7432 0.072548 0.020 0.136 0.036 0.040 0.408 0.360
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.7850 1.000000 0.012 0.020 0.108 0.400 0.188 0.272
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.7259 -0.450762 0.004 0.032 0.040 0.176 0.348 0.400
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 5 0.5441 -0.116577 0.336 0.012 0.000 0.068 0.572 0.012
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.4184 -0.037139 0.000 0.000 0.576 0.016 0.000 0.408
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.6765 0.035407 0.000 0.036 0.088 0.084 0.240 0.552
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.6518 -0.347887 0.004 0.024 0.000 0.208 0.428 0.336
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.5351 -0.104942 0.336 0.008 0.000 0.068 0.576 0.012
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.6091 0.388199 0.000 0.160 0.004 0.060 0.604 0.172
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.6515 0.338085 0.000 0.028 0.148 0.068 0.160 0.596
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 6 0.8350 -0.202737 0.000 0.144 0.104 0.136 0.240 0.376
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#> 93C1A410-3517-4019-A00F-B46F05A8B514 6 0.7042 0.008318 0.004 0.020 0.124 0.096 0.232 0.524
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0603 0.767397 0.000 0.000 0.980 0.016 0.000 0.004
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4130 0.438149 0.672 0.024 0.000 0.300 0.004 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4130 0.438149 0.672 0.024 0.000 0.300 0.004 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.5560 0.295348 0.000 0.004 0.600 0.072 0.036 0.288
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 6 0.5125 0.466709 0.000 0.004 0.368 0.040 0.020 0.568
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.6372 0.489599 0.492 0.040 0.000 0.124 0.336 0.008
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.5682 0.399552 0.000 0.248 0.612 0.076 0.000 0.064
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.6096 0.396344 0.004 0.164 0.000 0.052 0.596 0.184
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 6 0.7480 -0.209196 0.000 0.108 0.040 0.104 0.372 0.376
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.1442 0.747938 0.000 0.004 0.944 0.012 0.000 0.040
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.1501 0.761160 0.924 0.000 0.000 0.000 0.076 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.6682 0.176660 0.008 0.072 0.000 0.128 0.500 0.292
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.5756 0.359293 0.000 0.040 0.580 0.100 0.000 0.280
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.5213 0.510731 0.512 0.024 0.000 0.044 0.420 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 6 0.6388 0.208157 0.000 0.020 0.124 0.072 0.184 0.600
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.4253 0.509311 0.028 0.100 0.000 0.020 0.792 0.060
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 5 0.5529 -0.289813 0.396 0.012 0.000 0.072 0.512 0.008
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.6672 -0.004515 0.000 0.008 0.540 0.184 0.076 0.192
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.6368 0.199750 0.000 0.060 0.484 0.120 0.000 0.336
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.3426 0.727925 0.784 0.012 0.000 0.012 0.192 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.6064 0.490493 0.056 0.080 0.004 0.108 0.676 0.076
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.5150 0.059456 0.000 0.000 0.576 0.044 0.028 0.352
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.7357 -0.001269 0.000 0.036 0.192 0.104 0.168 0.500
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.5961 0.451594 0.000 0.012 0.248 0.076 0.060 0.604
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 6 0.7796 -0.430090 0.000 0.008 0.236 0.216 0.196 0.344
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.7850 1.000000 0.012 0.020 0.108 0.400 0.188 0.272
#> D6517B16-37E4-4342-9639-7C8C652A01A2 4 0.7850 1.000000 0.012 0.020 0.108 0.400 0.188 0.272
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.6582 0.389665 0.000 0.492 0.316 0.060 0.008 0.124
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 6 0.4838 0.489198 0.000 0.044 0.212 0.040 0.004 0.700
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 6 0.4864 0.490781 0.000 0.044 0.216 0.040 0.004 0.696
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 6 0.7794 0.263547 0.000 0.160 0.208 0.116 0.060 0.456
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 6 0.7992 -0.249569 0.000 0.064 0.156 0.132 0.224 0.424
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 6 0.7544 -0.476237 0.000 0.016 0.108 0.200 0.280 0.396
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.5482 0.040581 0.000 0.420 0.492 0.028 0.000 0.060
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 6 0.5542 0.488805 0.000 0.016 0.324 0.044 0.032 0.584
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.5800 -0.199476 0.000 0.040 0.444 0.072 0.000 0.444
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.6311 0.275749 0.000 0.068 0.536 0.088 0.008 0.300
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4511 0.557097 0.000 0.752 0.000 0.060 0.052 0.136
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0260 0.772264 0.000 0.000 0.992 0.000 0.000 0.008
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.6770 -0.357264 0.004 0.028 0.008 0.200 0.424 0.336
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1501 0.761160 0.924 0.000 0.000 0.000 0.076 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0146 0.773930 0.000 0.000 0.996 0.000 0.000 0.004
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.5371 0.500125 0.000 0.008 0.328 0.048 0.028 0.588
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 6 0.4320 0.515410 0.000 0.020 0.264 0.024 0.000 0.692
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.2748 0.563662 0.000 0.856 0.000 0.016 0.120 0.008
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.6844 0.315808 0.000 0.028 0.228 0.116 0.084 0.544
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 6 0.4259 0.499585 0.000 0.016 0.300 0.016 0.000 0.668
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.8009 -0.320976 0.000 0.172 0.040 0.148 0.268 0.372
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1728 0.749808 0.924 0.004 0.000 0.008 0.064 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4217 0.585940 0.000 0.796 0.020 0.036 0.048 0.100
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1442 0.747938 0.000 0.004 0.944 0.012 0.000 0.040
#> F6381259-41CC-432C-9EB3-C232663DFBE2 6 0.5064 0.480608 0.000 0.040 0.200 0.040 0.020 0.700
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 6 0.4793 0.468445 0.000 0.048 0.180 0.048 0.004 0.720
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 6 0.8236 -0.631412 0.000 0.064 0.120 0.208 0.264 0.344
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.7194 0.398229 0.000 0.068 0.188 0.052 0.168 0.524
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 6 0.4212 0.529258 0.000 0.012 0.264 0.020 0.004 0.700
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.5066 0.370653 0.000 0.012 0.424 0.040 0.004 0.520
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 6 0.5381 0.424060 0.000 0.060 0.148 0.064 0.024 0.704
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.5756 0.359293 0.000 0.040 0.580 0.100 0.000 0.280
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 6 0.7533 -0.381507 0.004 0.148 0.012 0.144 0.260 0.432
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.775305 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 3 0.5774 -0.049932 0.000 0.028 0.464 0.088 0.000 0.420
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.7349 0.041133 0.000 0.036 0.224 0.100 0.148 0.492
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.5583 0.452099 0.076 0.084 0.004 0.048 0.716 0.072
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.7582 0.392253 0.104 0.148 0.004 0.056 0.504 0.184
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.5558 0.496602 0.000 0.016 0.332 0.048 0.028 0.576
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1501 0.761160 0.924 0.000 0.000 0.000 0.076 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 6 0.5064 0.480608 0.000 0.040 0.200 0.040 0.020 0.700
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.6518 -0.347887 0.004 0.024 0.000 0.208 0.428 0.336
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5359 0.407830 0.000 0.032 0.644 0.080 0.004 0.240
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.6798 0.338470 0.000 0.468 0.304 0.060 0.008 0.160
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 17033 rows and 424 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 0.809 0.887 0.954 0.4905 0.512 0.512
#> 3 3 0.857 0.879 0.950 0.2590 0.710 0.509
#> 4 4 0.612 0.645 0.806 0.1621 0.803 0.546
#> 5 5 0.650 0.344 0.600 0.0860 0.879 0.647
#> 6 6 0.757 0.655 0.778 0.0529 0.828 0.458
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4939 0.8522 0.108 0.892
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9444 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9577 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9444 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9444 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.9444 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9444 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9577 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9577 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9577 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9444 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9444 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9444 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.9577 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9577 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.7528 0.7217 0.216 0.784
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9577 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9577 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.1184 0.9328 0.016 0.984
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.1184 0.9328 0.016 0.984
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9577 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9444 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.7453 0.7159 0.212 0.788
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9444 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.9577 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9444 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9444 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9444 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9444 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.7219 0.7435 0.200 0.800
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9444 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9577 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9444 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.8386 0.6448 0.268 0.732
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9577 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9577 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.7376 0.7169 0.792 0.208
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#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.9577 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.9444 0.000 1.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9577 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.9710 0.3636 0.400 0.600
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9577 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9444 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.9866 0.2612 0.432 0.568
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9476 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0747 0.9477 0.000 0.016 0.984
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9195 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0747 0.9499 0.000 0.984 0.016
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9643 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0747 0.9499 0.000 0.984 0.016
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9643 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9195 1.000 0.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.9195 1.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9195 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9643 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9643 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.9476 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.6442 0.1987 0.432 0.564 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9195 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0747 0.9499 0.000 0.984 0.016
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.9195 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9195 1.000 0.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.9476 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.9476 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9195 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9643 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.2878 0.8696 0.096 0.904 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9643 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.6291 0.1459 0.532 0.468 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0747 0.9499 0.000 0.984 0.016
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2959 0.8722 0.000 0.900 0.100
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0747 0.9499 0.000 0.984 0.016
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9643 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0747 0.9499 0.000 0.984 0.016
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9643 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9195 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.9476 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.0747 0.9499 0.000 0.984 0.016
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9195 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.4555 0.7300 0.800 0.200 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.0848 0.9476 0.008 0.984 0.008
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.9643 0.000 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0747 0.9499 0.000 0.984 0.016
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0747 0.9499 0.000 0.984 0.016
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9476 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9476 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9643 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0747 0.9499 0.000 0.984 0.016
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.3686 0.8180 0.140 0.860 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0424 0.9463 0.008 0.992 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9195 1.000 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.6905 0.2109 0.544 0.440 0.016
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5061 0.7118 0.784 0.208 0.008
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9195 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0747 0.9499 0.000 0.984 0.016
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9643 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.4750 0.7110 0.784 0.216 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.9195 1.000 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9195 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9195 1.000 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0747 0.9499 0.000 0.984 0.016
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0747 0.9499 0.000 0.984 0.016
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.9476 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9195 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9195 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.1031 0.9451 0.000 0.976 0.024
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9195 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4346 0.7461 0.816 0.184 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.9195 1.000 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0747 0.9499 0.000 0.984 0.016
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9643 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0000 0.9476 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9195 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.9195 1.000 0.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.9476 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.9643 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0747 0.9499 0.000 0.984 0.016
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.9643 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9195 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0747 0.9499 0.000 0.984 0.016
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0747 0.9083 0.984 0.016 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9643 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.9476 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.1031 0.9011 0.976 0.024 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.9195 1.000 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0000 0.9195 1.000 0.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9195 1.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.2804 0.8989 0.060 0.924 0.016
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9476 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0747 0.9499 0.000 0.984 0.016
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.9643 0.000 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.9643 0.000 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9476 0.000 1.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.9195 1.000 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.5560 0.5671 0.700 0.300 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9195 1.000 0.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0747 0.9499 0.000 0.984 0.016
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0747 0.9499 0.000 0.984 0.016
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.9643 0.000 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.6168 0.2951 0.412 0.588 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0747 0.9485 0.000 0.016 0.984
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9643 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.9195 1.000 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0747 0.9499 0.000 0.984 0.016
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9195 1.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.9643 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.4291 0.7568 0.180 0.820 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.9476 0.000 1.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0747 0.9499 0.000 0.984 0.016
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.9643 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.9195 1.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.9643 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.0892 0.9405 0.020 0.980 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.0000 0.9476 0.000 1.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0747 0.9499 0.000 0.984 0.016
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0747 0.9499 0.000 0.984 0.016
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.9195 1.000 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.9643 0.000 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.9643 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.5988 0.4289 0.632 0.368 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.6247 0.3599 0.376 0.620 0.004
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.0747 0.9499 0.000 0.984 0.016
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.9476 0.000 1.000 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.9195 1.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.6291 0.0926 0.468 0.532 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0000 0.9195 1.000 0.000 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.0000 0.9476 0.000 1.000 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.0000 0.9476 0.000 1.000 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.0000 0.9476 0.000 1.000 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.0000 0.9476 0.000 1.000 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.9643 0.000 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.9643 0.000 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0000 0.9476 0.000 1.000 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.0000 0.9476 0.000 1.000 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.0000 0.9195 1.000 0.000 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.0747 0.9499 0.000 0.984 0.016
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0000 0.9195 1.000 0.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.0747 0.9499 0.000 0.984 0.016
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.0747 0.9499 0.000 0.984 0.016
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.0747 0.9499 0.000 0.984 0.016
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.9195 1.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.6192 0.2846 0.580 0.420 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.4346 0.7518 0.000 0.184 0.816
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.0592 0.9495 0.000 0.988 0.012
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.9643 0.000 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.0000 0.9476 0.000 1.000 0.000
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.9195 1.000 0.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 2 0.5560 0.5488 0.300 0.700 0.000
#> 9F68C7B1-2778-4A19-A92D-A84198806569 1 0.4750 0.7060 0.784 0.216 0.000
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 2 0.1337 0.9431 0.012 0.972 0.016
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 3 0.0000 0.9643 0.000 0.000 1.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.0237 0.9167 0.996 0.004 0.000
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 2 0.0747 0.9499 0.000 0.984 0.016
#> FB666689-F12A-438F-9458-63A96B6088B1 2 0.0000 0.9476 0.000 1.000 0.000
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 2 0.0829 0.9456 0.012 0.984 0.004
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 2 0.0000 0.9476 0.000 1.000 0.000
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.4978 0.7062 0.780 0.216 0.004
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 3 0.0000 0.9643 0.000 0.000 1.000
#> DC274A56-C469-4008-ABE9-9D55CF455388 2 0.0000 0.9476 0.000 1.000 0.000
#> 321A3603-B668-4E2C-B605-2AC9F447326F 1 0.0000 0.9195 1.000 0.000 0.000
#> 9DB3FD40-1BA7-4E97-8860-D6F5A516E5D8 3 0.0000 0.9643 0.000 0.000 1.000
#> 63B5AC5A-413E-426D-BAA6-47405412EAC0 1 0.0000 0.9195 1.000 0.000 0.000
#> 6A244E15-D280-4DF9-B8BF-8E2638BB63D3 3 0.0000 0.9643 0.000 0.000 1.000
#> 680DCC8A-71A0-4935-BB28-01BBBF7A4B06 3 0.0000 0.9643 0.000 0.000 1.000
#> 8335DF3D-6EE3-4FBA-A771-477D5332423D 1 0.0000 0.9195 1.000 0.000 0.000
#> F4738108-D26C-41F7-8514-CB525ADA1A75 2 0.5926 0.4445 0.356 0.644 0.000
#> 8666A3E0-7356-45A7-A742-713C113E4A56 1 0.0000 0.9195 1.000 0.000 0.000
#> 03AC4F21-01A6-494F-922F-8385CCAC71C7 1 0.0000 0.9195 1.000 0.000 0.000
#> 6666B24A-CD93-47F7-8B26-C5C85D9C8489 1 0.0000 0.9195 1.000 0.000 0.000
#> 7CC9F1B6-51AE-48E6-987B-432A756ACAF4 2 0.0747 0.9499 0.000 0.984 0.016
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#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9643 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9195 1.000 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0424 0.9137 0.992 0.008 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.9476 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.0237 0.9484 0.000 0.996 0.004
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9643 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.9195 1.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9195 1.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.5621 0.5304 0.000 0.308 0.692
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0747 0.9499 0.000 0.984 0.016
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9195 1.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0747 0.9499 0.000 0.984 0.016
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9195 1.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.3619 0.8234 0.136 0.864 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.9643 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9195 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9195 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9643 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9476 0.000 1.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9195 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.1860 0.9030 0.052 0.948 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9195 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9195 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.9643 0.000 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9643 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9476 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9195 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9195 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4291 0.7577 0.000 0.180 0.820
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0747 0.9499 0.000 0.984 0.016
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0747 0.9499 0.000 0.984 0.016
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.9643 0.000 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.5905 0.4628 0.648 0.352 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.5992 0.6171 0.268 0.716 0.016
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0747 0.9499 0.000 0.984 0.016
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0000 0.9476 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.9476 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.9476 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0747 0.9499 0.000 0.984 0.016
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.5506 0.6884 0.764 0.220 0.016
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0747 0.9499 0.000 0.984 0.016
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0747 0.9499 0.000 0.984 0.016
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9643 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0747 0.9499 0.000 0.984 0.016
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0747 0.9499 0.000 0.984 0.016
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9476 0.000 1.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9643 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9643 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0592 0.9105 0.988 0.012 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9195 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9643 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9643 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0747 0.9499 0.000 0.984 0.016
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.9476 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.6215 0.2604 0.572 0.428 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.0829 0.9457 0.012 0.984 0.004
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.9476 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0892 0.9405 0.020 0.980 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9195 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.6126 0.3411 0.600 0.400 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9643 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.9476 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0424 0.9438 0.008 0.992 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.6126 0.3411 0.600 0.400 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0747 0.9499 0.000 0.984 0.016
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.9476 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0747 0.9499 0.000 0.984 0.016
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.9476 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9476 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4291 0.7552 0.820 0.180 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9643 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9476 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6295 0.0515 0.000 0.472 0.528
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9195 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.6111 0.3518 0.604 0.396 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0237 0.9484 0.000 0.996 0.004
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9195 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0000 0.9476 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9195 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0747 0.9499 0.000 0.984 0.016
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0747 0.9499 0.000 0.984 0.016
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3024 0.477855 0.000 0.852 0.000 0.148
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4328 0.677451 0.000 0.244 0.748 0.008
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0376 0.862621 0.992 0.004 0.000 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.0707 0.655381 0.000 0.020 0.000 0.980
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.1022 0.669937 0.000 0.032 0.000 0.968
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.3249 0.838817 0.852 0.140 0.000 0.008
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.6607 0.259893 0.516 0.084 0.000 0.400
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0188 0.862426 0.996 0.004 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.4426 0.509874 0.092 0.096 0.000 0.812
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2888 0.849979 0.872 0.124 0.000 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.2530 0.672258 0.000 0.112 0.000 0.888
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.862741 1.000 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.3032 0.848299 0.868 0.124 0.000 0.008
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6466 0.431826 0.588 0.092 0.000 0.320
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.2596 0.610211 0.024 0.068 0.000 0.908
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.5326 0.551030 0.016 0.604 0.000 0.380
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.0592 0.656448 0.000 0.016 0.000 0.984
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.6366 0.498192 0.000 0.120 0.240 0.640
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.2401 0.675389 0.000 0.092 0.004 0.904
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.2589 0.669720 0.000 0.116 0.000 0.884
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.862741 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.0817 0.652826 0.000 0.024 0.000 0.976
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0592 0.861021 0.984 0.016 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.4542 0.500562 0.108 0.088 0.000 0.804
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.2530 0.587181 0.000 0.112 0.000 0.888
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.2408 0.672071 0.000 0.104 0.000 0.896
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.2530 0.670496 0.000 0.112 0.000 0.888
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4564 0.584530 0.000 0.672 0.000 0.328
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.2647 0.673648 0.000 0.120 0.000 0.880
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.5113 0.516482 0.024 0.292 0.000 0.684
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4477 0.550833 0.000 0.312 0.000 0.688
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.3032 0.848299 0.868 0.124 0.000 0.008
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.3934 0.539733 0.116 0.048 0.000 0.836
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.4419 0.507692 0.104 0.084 0.000 0.812
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0376 0.862621 0.992 0.004 0.000 0.004
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.5330 0.606580 0.000 0.120 0.132 0.748
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.4419 0.507692 0.104 0.084 0.000 0.812
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.6172 0.504493 0.632 0.084 0.000 0.284
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1576 0.863554 0.948 0.048 0.000 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.3088 0.847917 0.864 0.128 0.000 0.008
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.0188 0.661443 0.000 0.004 0.000 0.996
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4250 0.599900 0.000 0.724 0.000 0.276
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0188 0.862426 0.996 0.004 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.3706 0.785052 0.848 0.040 0.000 0.112
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.0524 0.660355 0.000 0.008 0.004 0.988
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0376 0.862621 0.992 0.004 0.000 0.004
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.6620 0.084544 0.320 0.104 0.000 0.576
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.2647 0.851569 0.880 0.120 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.4605 0.564548 0.000 0.336 0.000 0.664
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.4040 0.621857 0.000 0.248 0.000 0.752
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1209 0.863838 0.964 0.032 0.000 0.004
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.3032 0.848299 0.868 0.124 0.000 0.008
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.2149 0.672917 0.000 0.088 0.000 0.912
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.862741 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.2589 0.669720 0.000 0.116 0.000 0.884
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.4511 0.723925 0.724 0.268 0.000 0.008
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.7211 0.271647 0.264 0.192 0.000 0.544
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0469 0.864701 0.988 0.012 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.6801 0.423168 0.568 0.124 0.000 0.308
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.862741 1.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.3471 0.575006 0.060 0.072 0.000 0.868
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#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.2530 0.670847 0.000 0.112 0.000 0.888
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4843 0.529864 0.000 0.396 0.000 0.604
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.3024 0.483912 0.000 0.852 0.000 0.148
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.6432 0.545842 0.636 0.128 0.000 0.236
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.967403 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.3400 0.439479 0.000 0.820 0.000 0.180
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.3810 0.518003 0.000 0.008 0.188 0.804
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6391 0.416805 0.588 0.084 0.000 0.328
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.6664 0.429665 0.272 0.600 0.000 0.128
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.2760 0.666136 0.000 0.128 0.000 0.872
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.862741 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4855 0.529287 0.000 0.400 0.000 0.600
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3243 0.809377 0.876 0.036 0.000 0.088
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.3726 0.587876 0.000 0.212 0.000 0.788
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4907 0.532482 0.000 0.580 0.000 0.420
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 5 0.6088 -0.14455 0.000 0.296 0.000 0.156 0.548
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.7850 0.46844 0.000 0.116 0.392 0.348 0.144
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4450 0.58788 0.508 0.000 0.488 0.000 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4262 0.06073 0.000 0.560 0.000 0.000 0.440
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2471 0.35412 0.000 0.864 0.000 0.000 0.136
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1041 0.53322 0.964 0.000 0.000 0.032 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.7027 0.17913 0.104 0.408 0.048 0.004 0.436
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.6046 -0.06549 0.032 0.488 0.040 0.004 0.436
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0162 0.55386 0.996 0.000 0.000 0.000 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.4306 0.58717 0.508 0.000 0.492 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0771 0.54183 0.976 0.000 0.000 0.020 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.7115 0.18872 0.408 0.108 0.052 0.004 0.428
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.5166 0.01549 0.024 0.532 0.004 0.004 0.436
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.7402 -0.31689 0.104 0.080 0.004 0.396 0.416
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.4702 0.04728 0.016 0.552 0.000 0.000 0.432
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2068 0.39342 0.000 0.904 0.004 0.092 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0162 0.42948 0.000 0.996 0.000 0.000 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.4948 0.02004 0.028 0.536 0.000 0.000 0.436
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.4278 0.58630 0.548 0.000 0.452 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.6552 -0.13413 0.068 0.452 0.040 0.004 0.436
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6596 -0.14399 0.180 0.424 0.000 0.004 0.392
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0162 0.42923 0.000 0.996 0.000 0.000 0.004
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 4 0.8173 0.54067 0.208 0.228 0.000 0.412 0.152
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.5817 -0.10994 0.496 0.420 0.000 0.080 0.004
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.7330 -0.12664 0.496 0.288 0.000 0.080 0.136
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0290 0.55099 0.992 0.000 0.000 0.008 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.6037 -0.06453 0.028 0.488 0.044 0.004 0.436
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.6685 0.14734 0.088 0.432 0.044 0.000 0.436
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4306 0.58732 0.508 0.000 0.492 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0963 0.42026 0.000 0.964 0.000 0.036 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.6626 -0.15645 0.088 0.444 0.040 0.000 0.428
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.7356 0.26628 0.360 0.152 0.048 0.004 0.436
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3534 0.58517 0.744 0.000 0.256 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0324 0.55195 0.992 0.000 0.000 0.004 0.004
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.4327 0.12924 0.008 0.632 0.000 0.000 0.360
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 4 0.7766 0.48531 0.344 0.100 0.000 0.404 0.152
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 5 0.6741 -0.05950 0.344 0.000 0.220 0.004 0.432
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.3932 0.16629 0.000 0.672 0.000 0.000 0.328
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.4304 0.58858 0.516 0.000 0.484 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.6648 -0.10236 0.120 0.496 0.028 0.000 0.356
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0162 0.55532 0.996 0.000 0.004 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.4288 0.27853 0.000 0.612 0.000 0.004 0.384
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5277 0.31561 0.000 0.664 0.000 0.108 0.228
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.4294 0.58801 0.532 0.000 0.468 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0566 0.54728 0.984 0.000 0.000 0.012 0.004
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0794 0.41866 0.000 0.972 0.000 0.000 0.028
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.3008 0.47184 0.868 0.000 0.004 0.092 0.036
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.4962 0.10337 0.632 0.332 0.000 0.024 0.012
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.4300 0.58974 0.524 0.000 0.476 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.3916 0.40466 0.804 0.136 0.000 0.004 0.056
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.5976 -0.05741 0.028 0.492 0.040 0.004 0.436
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.5687 0.01429 0.000 0.580 0.000 0.104 0.316
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 4 0.5818 -0.82540 0.000 0.092 0.444 0.464 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.55467 1.000 0.000 0.000 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.6233 -0.34745 0.460 0.000 0.000 0.396 0.144
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0162 0.55386 0.996 0.000 0.000 0.000 0.004
#> 5A6AF013-C47E-41BE-9102-07E49330D451 4 0.7769 0.36430 0.072 0.216 0.000 0.400 0.312
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.6645 -0.13507 0.000 0.440 0.244 0.316 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.5159 -0.08159 0.496 0.472 0.000 0.024 0.008
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.6293 0.77528 0.000 0.132 0.460 0.404 0.004
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.4283 0.58616 0.544 0.000 0.456 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.4403 0.58712 0.560 0.000 0.436 0.000 0.004
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 4 0.7242 0.50165 0.308 0.036 0.000 0.452 0.204
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.3913 0.17011 0.000 0.676 0.000 0.000 0.324
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 5 0.7070 0.21637 0.400 0.116 0.044 0.004 0.436
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.5923 -0.11031 0.496 0.416 0.000 0.080 0.008
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.6707 -0.45984 0.000 0.388 0.000 0.368 0.244
#> E45A1A52-4285-492D-A868-EB18DE119DF3 5 0.6536 -0.21542 0.000 0.196 0.000 0.392 0.412
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.1608 0.56152 0.928 0.000 0.072 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.5976 -0.05741 0.028 0.492 0.040 0.004 0.436
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.6175 -0.08146 0.040 0.480 0.040 0.004 0.436
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.4860 0.03069 0.016 0.540 0.000 0.004 0.440
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.4304 0.58858 0.516 0.000 0.484 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 5 0.6637 0.19628 0.024 0.184 0.000 0.236 0.556
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0162 0.55386 0.996 0.000 0.000 0.000 0.004
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 5 0.7215 -0.22873 0.036 0.272 0.000 0.220 0.472
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 4 0.7431 0.42643 0.056 0.184 0.000 0.448 0.312
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 4 0.7621 0.48352 0.348 0.084 0.000 0.416 0.152
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.5310 -0.03885 0.616 0.000 0.012 0.328 0.044
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.4940 0.02938 0.020 0.540 0.000 0.004 0.436
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.5722 -0.06111 0.600 0.000 0.008 0.304 0.088
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.3305 0.27613 0.000 0.776 0.000 0.000 0.224
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.4341 0.09391 0.004 0.592 0.000 0.000 0.404
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#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.6267 -0.36304 0.448 0.000 0.000 0.404 0.148
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.6456 -0.11458 0.528 0.232 0.000 0.004 0.236
#> 2908E927-F233-446D-AED9-D26F36013EDA 5 0.6362 -0.07280 0.004 0.148 0.000 0.364 0.484
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.6821 -0.37068 0.456 0.104 0.000 0.396 0.044
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 5 0.7501 0.09728 0.020 0.384 0.052 0.112 0.432
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.3876 0.17988 0.000 0.684 0.000 0.000 0.316
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.6799 -0.19853 0.468 0.352 0.000 0.160 0.020
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.2230 0.57053 0.884 0.000 0.116 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0324 0.55181 0.992 0.000 0.000 0.004 0.004
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 2 0.6037 -0.06453 0.028 0.488 0.044 0.004 0.436
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 4 0.7704 0.50893 0.208 0.080 0.000 0.448 0.264
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.4278 0.58630 0.548 0.000 0.452 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.8236 0.19933 0.000 0.264 0.380 0.216 0.140
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0162 0.43020 0.000 0.996 0.000 0.000 0.004
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 5 0.6277 -0.10602 0.000 0.152 0.000 0.384 0.464
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.1582 0.40317 0.000 0.944 0.000 0.028 0.028
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.6482 -0.14073 0.080 0.452 0.036 0.000 0.432
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.7590 -0.19109 0.284 0.364 0.032 0.004 0.316
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.1043 0.40951 0.040 0.960 0.000 0.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.6102 0.25291 0.000 0.468 0.004 0.108 0.420
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.1544 0.38944 0.068 0.932 0.000 0.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.4126 0.12419 0.000 0.620 0.000 0.000 0.380
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.7482 -0.09459 0.496 0.128 0.000 0.108 0.268
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.6611 -0.38367 0.436 0.012 0.000 0.404 0.148
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.3612 0.58221 0.764 0.000 0.228 0.000 0.008
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 4 0.7973 0.51904 0.312 0.132 0.000 0.404 0.152
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.55467 1.000 0.000 0.000 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0162 0.42998 0.000 0.996 0.000 0.004 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.5024 0.01648 0.024 0.532 0.000 0.004 0.440
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.3491 0.26733 0.004 0.768 0.000 0.000 0.228
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 5 0.7044 -0.21956 0.048 0.124 0.000 0.392 0.436
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.4940 0.03073 0.020 0.540 0.000 0.004 0.436
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.6557 -0.12572 0.504 0.148 0.008 0.004 0.336
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.2446 0.48763 0.900 0.000 0.000 0.056 0.044
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.6856 0.16509 0.104 0.420 0.036 0.004 0.436
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.4350 0.52059 0.784 0.004 0.080 0.004 0.128
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.6972 0.15685 0.104 0.412 0.044 0.004 0.436
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.4664 0.04897 0.008 0.552 0.000 0.004 0.436
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 3 0.7892 -0.48863 0.220 0.000 0.408 0.284 0.088
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.4934 0.04346 0.000 0.544 0.004 0.020 0.432
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.4297 0.58703 0.528 0.000 0.472 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 4 0.6736 0.33592 0.000 0.312 0.000 0.412 0.276
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0451 0.54976 0.988 0.000 0.000 0.008 0.004
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.5407 0.01854 0.424 0.524 0.000 0.004 0.048
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.1901 0.55916 0.932 0.004 0.040 0.000 0.024
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.6598 0.36696 0.000 0.216 0.000 0.428 0.356
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.5094 0.01458 0.028 0.532 0.000 0.004 0.436
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0324 0.55509 0.992 0.000 0.004 0.000 0.004
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 5 0.6148 -0.16700 0.000 0.268 0.000 0.180 0.552
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.55467 1.000 0.000 0.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.7646 0.06369 0.000 0.468 0.124 0.284 0.124
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.4256 0.06668 0.000 0.564 0.000 0.000 0.436
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4074 0.13841 0.000 0.636 0.000 0.000 0.364
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.6450 -0.10294 0.028 0.456 0.076 0.004 0.436
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.5380 -0.00424 0.024 0.520 0.012 0.004 0.440
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 5 0.6341 -0.14760 0.000 0.160 0.000 0.396 0.444
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 5 0.6975 -0.13636 0.056 0.292 0.000 0.128 0.524
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 5 0.4837 0.15837 0.004 0.424 0.000 0.016 0.556
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.6037 -0.06453 0.028 0.488 0.044 0.004 0.436
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 4 0.6779 0.30602 0.000 0.304 0.000 0.392 0.304
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.1544 0.40428 0.000 0.932 0.000 0.000 0.068
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.2124 0.38029 0.000 0.916 0.000 0.028 0.056
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.4440 0.00293 0.000 0.528 0.000 0.004 0.468
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.6586 0.51566 0.256 0.004 0.000 0.500 0.240
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.6881 0.15825 0.088 0.424 0.048 0.004 0.436
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0162 0.42923 0.000 0.996 0.000 0.000 0.004
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.6267 -0.36304 0.448 0.000 0.000 0.404 0.148
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5086 0.18309 0.076 0.684 0.000 0.004 0.236
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.7117 -0.11889 0.152 0.432 0.000 0.040 0.376
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.7351 -0.32081 0.108 0.072 0.004 0.396 0.420
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 5 0.7334 -0.22582 0.084 0.392 0.000 0.108 0.416
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 5 0.7109 -0.21859 0.132 0.040 0.004 0.368 0.456
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3242 0.31051 0.012 0.816 0.000 0.000 0.172
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.6602 0.36341 0.000 0.216 0.000 0.424 0.360
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.6900 -0.13513 0.448 0.076 0.044 0.012 0.420
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.4307 0.94611 0.000 0.000 0.504 0.496 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 5 0.5939 -0.15382 0.000 0.344 0.000 0.120 0.536
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.5277 0.01342 0.000 0.524 0.008 0.032 0.436
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6979 0.09961 0.548 0.228 0.052 0.000 0.172
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.5152 -0.18538 0.572 0.024 0.000 0.392 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.43068 0.000 1.000 0.000 0.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4307 0.58682 0.504 0.000 0.496 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5956 0.26004 0.000 0.476 0.000 0.108 0.416
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.7182 0.25785 0.360 0.008 0.308 0.004 0.320
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0912 0.41985 0.000 0.972 0.000 0.012 0.016
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.6285 -0.12272 0.000 0.152 0.000 0.392 0.456
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0790 0.90002 0.000 0.032 0.000 0.968 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.3804 0.25078 0.000 0.000 0.576 0.424 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0777 0.93430 0.972 0.024 0.000 0.000 0.004 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 6 0.4279 0.42201 0.000 0.436 0.000 0.012 0.004 0.548
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.2378 0.56407 0.000 0.000 0.000 0.152 0.000 0.848
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.2431 0.79148 0.132 0.008 0.000 0.000 0.860 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.4396 0.37787 0.000 0.456 0.000 0.000 0.024 0.520
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.94917 1.000 0.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.4466 0.40632 0.000 0.440 0.000 0.008 0.016 0.536
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#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 6 0.3411 0.55216 0.000 0.008 0.000 0.232 0.004 0.756
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#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.3242 0.78662 0.148 0.032 0.000 0.000 0.816 0.004
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#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 6 0.4300 0.39089 0.000 0.456 0.000 0.004 0.012 0.528
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.3417 0.78303 0.160 0.044 0.000 0.000 0.796 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0146 0.94936 0.996 0.004 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.1501 0.85324 0.000 0.076 0.000 0.924 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0146 0.94936 0.996 0.004 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.2631 0.79327 0.152 0.008 0.000 0.000 0.840 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.3073 0.43859 0.000 0.000 0.204 0.008 0.000 0.788
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.4051 0.42675 0.000 0.432 0.000 0.008 0.000 0.560
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.2562 0.49353 0.000 0.172 0.000 0.000 0.000 0.828
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 6 0.5010 0.39670 0.020 0.432 0.000 0.008 0.020 0.520
#> D6517B16-37E4-4342-9639-7C8C652A01A2 6 0.4462 0.41869 0.000 0.436 0.000 0.008 0.016 0.540
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.3655 0.56992 0.000 0.788 0.000 0.000 0.136 0.076
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
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#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.1265 0.88304 0.000 0.044 0.000 0.948 0.008 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 6 0.4199 0.41527 0.000 0.444 0.000 0.008 0.004 0.544
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#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5541 0.43137 0.000 0.508 0.000 0.004 0.124 0.364
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#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.3570 0.55193 0.000 0.016 0.000 0.228 0.004 0.752
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.3808 0.45798 0.000 0.284 0.000 0.012 0.004 0.700
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#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
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#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.3354 0.55064 0.000 0.004 0.000 0.240 0.004 0.752
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3996 0.33894 0.004 0.512 0.000 0.000 0.484 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.3380 0.50868 0.000 0.036 0.000 0.044 0.080 0.840
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.5985 0.22476 0.000 0.244 0.000 0.008 0.244 0.504
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0146 0.94936 0.996 0.004 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2945 0.56282 0.000 0.824 0.000 0.000 0.156 0.020
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0260 0.92737 0.000 0.000 0.000 0.992 0.000 0.008
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0653 0.91715 0.000 0.004 0.000 0.980 0.012 0.004
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4243 0.41251 0.000 0.732 0.000 0.000 0.104 0.164
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.2772 0.56408 0.000 0.000 0.000 0.180 0.004 0.816
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.3215 0.55258 0.000 0.000 0.000 0.240 0.004 0.756
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0146 0.92984 0.000 0.000 0.000 0.996 0.000 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.5190 0.18685 0.000 0.376 0.000 0.528 0.096 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.6378 0.11862 0.032 0.488 0.000 0.000 0.264 0.216
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.96600 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0146 0.92541 0.000 0.004 0.000 0.996 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.4184 0.42476 0.000 0.432 0.004 0.008 0.000 0.556
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.7096 0.37704 0.140 0.156 0.000 0.000 0.452 0.252
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.1605 0.71269 0.004 0.016 0.000 0.000 0.936 0.044
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.3215 0.55174 0.000 0.000 0.000 0.240 0.004 0.756
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0146 0.94936 0.996 0.004 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0260 0.92737 0.000 0.000 0.000 0.992 0.000 0.008
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.5636 -0.03247 0.428 0.456 0.000 0.000 0.012 0.104
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 6 0.3463 0.55112 0.000 0.008 0.000 0.240 0.004 0.748
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3416 0.56572 0.000 0.804 0.000 0.000 0.140 0.056
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 17033 rows and 424 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 0.816 0.886 0.955 0.5006 0.500 0.500
#> 3 3 0.658 0.735 0.877 0.3186 0.752 0.543
#> 4 4 0.725 0.724 0.857 0.1207 0.847 0.592
#> 5 5 0.780 0.694 0.843 0.0634 0.916 0.702
#> 6 6 0.807 0.681 0.842 0.0530 0.912 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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.9552 0.388 0.376 0.624
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.951 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.950 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.951 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.951 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.951 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.951 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.950 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.950 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.950 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.951 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.951 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.951 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.950 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.950 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.8661 0.583 0.288 0.712
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.950 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.950 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.3114 0.901 0.056 0.944
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.5408 0.828 0.124 0.876
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.950 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.951 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.9944 0.165 0.456 0.544
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.951 0.000 1.000
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#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.9129 0.501 0.328 0.672
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#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.9635 0.379 0.612 0.388
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#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.951 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.9996 0.051 0.488 0.512
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.9552 0.396 0.376 0.624
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.951 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.9000 0.542 0.684 0.316
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.9710 0.324 0.400 0.600
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.4161 0.876 0.916 0.084
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.8016 0.672 0.756 0.244
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.7883 0.686 0.764 0.236
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.951 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.951 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.951 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.951 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.951 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.0000 0.950 1.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.951 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.951 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.950 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.950 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.951 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.951 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0938 0.941 0.012 0.988
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5629 0.819 0.132 0.868
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.950 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.2043 0.924 0.968 0.032
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.951 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.9795 0.289 0.416 0.584
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.950 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.950 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.951 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.3733 0.888 0.928 0.072
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.7602 0.698 0.220 0.780
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0000 0.950 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.9710 0.347 0.600 0.400
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.951 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.951 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.951 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.951 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.950 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.951 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.951 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.951 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.950 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.950 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.951 0.000 1.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.950 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.9963 0.149 0.536 0.464
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.950 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.951 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.70896 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.2537 0.80856 0.000 0.080 0.920
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.91542 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.2537 0.81093 0.000 0.080 0.920
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.87853 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.3752 0.73498 0.000 0.144 0.856
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.87853 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.91542 1.000 0.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.91542 1.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.91542 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.87853 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.87853 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5529 0.61370 0.000 0.704 0.296
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.91542 1.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.91542 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.5678 0.56622 0.316 0.684 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.91542 1.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.91542 1.000 0.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.6936 0.64437 0.064 0.704 0.232
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.7059 0.66739 0.164 0.724 0.112
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.91542 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.87853 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.4974 0.58362 0.236 0.000 0.764
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.87853 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5678 0.59600 0.684 0.316 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.0000 0.87853 0.000 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.6244 -0.00239 0.000 0.440 0.560
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0000 0.87853 0.000 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.87853 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.70896 0.000 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.87853 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.91542 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5678 0.59659 0.000 0.684 0.316
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.6026 0.39118 0.376 0.000 0.624
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.91542 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.91542 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0592 0.90521 0.988 0.012 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.87853 0.000 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.2261 0.68726 0.000 0.932 0.068
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.70896 0.000 1.000 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.70896 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.70896 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.87853 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.5678 0.56622 0.316 0.684 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.5905 0.54646 0.648 0.352 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.5465 0.53975 0.288 0.712 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.91542 1.000 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.0000 0.87853 0.000 0.000 1.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.91542 1.000 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.91542 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.5327 0.50650 0.000 0.272 0.728
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.87853 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.91542 1.000 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.91542 1.000 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.91542 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.91542 1.000 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 3 0.8204 0.36118 0.316 0.096 0.588
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.3272 0.67420 0.016 0.904 0.080
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.3038 0.70085 0.000 0.896 0.104
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.91542 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.91542 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.5678 0.52051 0.000 0.316 0.684
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.91542 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.91542 1.000 0.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.91542 1.000 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.70896 0.000 1.000 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.87853 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5678 0.56622 0.316 0.684 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.91542 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.91542 1.000 0.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.4931 0.65351 0.000 0.768 0.232
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.87853 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.1163 0.70240 0.000 0.972 0.028
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.87853 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.91542 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4842 0.65768 0.000 0.776 0.224
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.91542 1.000 0.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.87853 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5529 0.61370 0.000 0.704 0.296
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0424 0.90870 0.992 0.008 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.91542 1.000 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0000 0.91542 1.000 0.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.91542 1.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 3 0.5254 0.56321 0.264 0.000 0.736
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0592 0.70986 0.000 0.988 0.012
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.5678 0.52051 0.000 0.316 0.684
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.87853 0.000 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.87853 0.000 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.5678 0.59659 0.000 0.684 0.316
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.91542 1.000 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.5706 0.59066 0.680 0.320 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.91542 1.000 0.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.7902 0.38511 0.280 0.628 0.092
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.4178 0.68133 0.000 0.828 0.172
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.87853 0.000 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.91542 1.000 0.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.3941 0.70865 0.000 0.156 0.844
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.87853 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.91542 1.000 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.0592 0.86980 0.000 0.012 0.988
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.91542 1.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.87853 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.8117 0.44544 0.236 0.636 0.128
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.5678 0.59659 0.000 0.684 0.316
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.0000 0.87853 0.000 0.000 1.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.87853 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.91542 1.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.87853 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.5882 0.32749 0.348 0.652 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.0000 0.70896 0.000 1.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.5968 0.25141 0.000 0.636 0.364
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.6260 0.02605 0.000 0.552 0.448
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.91542 1.000 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.87853 0.000 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.87853 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 3 0.5431 0.50613 0.284 0.000 0.716
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.0000 0.91542 1.000 0.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.5678 0.52051 0.000 0.316 0.684
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.5678 0.59659 0.000 0.684 0.316
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.91542 1.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.5678 0.59600 0.684 0.316 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0000 0.91542 1.000 0.000 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.0000 0.70896 0.000 1.000 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.5775 0.46833 0.012 0.728 0.260
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.5835 0.56735 0.000 0.660 0.340
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5678 0.59659 0.000 0.684 0.316
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.87853 0.000 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.87853 0.000 0.000 1.000
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#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.91542 1.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.87853 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.91542 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.91542 1.000 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.5216 0.52306 0.000 0.260 0.740
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.87853 0.000 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.5678 0.59659 0.000 0.684 0.316
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.5621 0.53203 0.000 0.308 0.692
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.70896 0.000 1.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0000 0.70896 0.000 1.000 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.0000 0.91542 1.000 0.000 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.87853 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.91542 1.000 0.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.5706 0.56089 0.320 0.680 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.0747 0.86643 0.000 0.016 0.984
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.5706 0.56089 0.320 0.680 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.0000 0.87853 0.000 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 3 0.6168 0.07148 0.000 0.412 0.588
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.5678 0.56622 0.316 0.684 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.87853 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.70896 0.000 1.000 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.5760 0.57890 0.672 0.328 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.0237 0.87576 0.000 0.004 0.996
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.91542 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5678 0.59659 0.000 0.684 0.316
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.87853 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.5706 0.35282 0.320 0.680 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.91542 1.000 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.5733 0.58728 0.000 0.676 0.324
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.91542 1.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.0000 0.87853 0.000 0.000 1.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.6299 -0.09568 0.524 0.476 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.5678 0.59600 0.684 0.316 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.4750 0.71680 0.784 0.216 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.91542 1.000 0.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.1643 0.88178 0.956 0.044 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.91542 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.91542 1.000 0.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.87853 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.91542 1.000 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.1753 0.87020 0.952 0.000 0.048
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.5529 0.61370 0.000 0.704 0.296
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.6455 0.64795 0.764 0.108 0.128
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.87853 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.5397 0.64156 0.720 0.280 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.91542 1.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0000 0.87853 0.000 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.6079 0.48339 0.000 0.612 0.388
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.91542 1.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.5678 0.52051 0.000 0.316 0.684
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.91542 1.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0747 0.90160 0.984 0.016 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.87853 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.91542 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.91542 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.87853 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.2537 0.67709 0.000 0.920 0.080
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.91542 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0424 0.90882 0.992 0.008 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.91542 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.91542 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.87853 0.000 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.87853 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.70896 0.000 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.91542 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.91542 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.87853 0.000 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.0000 0.87853 0.000 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.8570 -0.16789 0.476 0.428 0.096
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.87853 0.000 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.2356 0.80971 0.072 0.000 0.928
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.0000 0.87853 0.000 0.000 1.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.6267 0.26221 0.000 0.452 0.548
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5678 0.56622 0.316 0.684 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5678 0.56622 0.316 0.684 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.70896 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.9289 -0.00179 0.160 0.444 0.396
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.6026 0.39118 0.376 0.000 0.624
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.6235 0.30114 0.000 0.436 0.564
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5678 0.59659 0.000 0.684 0.316
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.87853 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.2356 0.68524 0.000 0.928 0.072
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.5291 0.58834 0.000 0.268 0.732
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5678 0.36169 0.316 0.684 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.87853 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.87853 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.91542 1.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.91542 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.87853 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.87853 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.70896 0.000 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.7433 0.65541 0.168 0.700 0.132
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.5706 0.59066 0.680 0.320 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.5450 0.60001 0.760 0.228 0.012
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5560 0.61043 0.000 0.700 0.300
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.8020 0.35711 0.320 0.084 0.596
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.91542 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.5678 0.59600 0.684 0.316 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.87853 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.5678 0.56622 0.316 0.684 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.8930 0.51446 0.148 0.536 0.316
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5902 0.59144 0.680 0.316 0.004
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.1163 0.70240 0.000 0.972 0.028
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5678 0.59659 0.000 0.684 0.316
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.6286 0.31631 0.000 0.536 0.464
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5529 0.61370 0.000 0.704 0.296
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2537 0.67709 0.000 0.920 0.080
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.91542 1.000 0.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.87853 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.70896 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.87853 0.000 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.91542 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.5560 0.61664 0.700 0.300 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5650 0.60020 0.000 0.688 0.312
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.91542 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5678 0.56622 0.316 0.684 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.91542 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.6045 0.42004 0.000 0.380 0.620
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.5706 0.59066 0.680 0.320 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4961 -0.1691 0.000 0.448 0.000 0.552
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4250 0.5923 0.000 0.000 0.724 0.276
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.1867 0.8548 0.000 0.072 0.928 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.6549 0.6328 0.000 0.268 0.120 0.612
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1716 0.8882 0.936 0.064 0.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1716 0.8882 0.936 0.064 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4372 0.7228 0.000 0.268 0.004 0.728
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0188 0.9014 0.996 0.004 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1716 0.8882 0.936 0.064 0.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.5662 0.5567 0.236 0.072 0.692 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4564 0.5645 0.328 0.672 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.3547 0.7996 0.064 0.072 0.864 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.6074 0.6684 0.000 0.268 0.084 0.648
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0188 0.9016 0.000 0.004 0.996 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.4193 0.7236 0.000 0.268 0.000 0.732
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.6498 0.0436 0.488 0.072 0.440 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1716 0.8882 0.936 0.064 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.2647 0.8707 0.880 0.120 0.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4776 0.3291 0.000 0.732 0.024 0.244
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.4372 0.7228 0.000 0.268 0.004 0.728
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4624 0.5187 0.000 0.660 0.000 0.340
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.4193 0.7236 0.000 0.268 0.000 0.732
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.5105 0.3559 0.432 0.564 0.000 0.004
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.7310 0.1064 0.212 0.256 0.000 0.532
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.1716 0.8882 0.936 0.064 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.3547 0.7996 0.064 0.072 0.864 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3801 0.7073 0.780 0.220 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9017 1.000 0.000 0.000 0.000
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#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.4477 0.2600 0.000 0.312 0.000 0.688
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4114 0.6070 0.060 0.828 0.112 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.6506 0.0499 0.460 0.072 0.468 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2868 0.5631 0.000 0.864 0.136 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4678 0.3531 0.000 0.744 0.024 0.232
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.4761 0.3886 0.000 0.372 0.628 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.5512 0.5502 0.040 0.660 0.000 0.300
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4220 0.3424 0.000 0.748 0.004 0.248
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4624 0.5410 0.340 0.660 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.6637 0.5065 0.240 0.144 0.000 0.616
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.7706 -0.0154 0.280 0.268 0.452 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4564 0.5645 0.328 0.672 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.1118 0.7552 0.036 0.000 0.000 0.964
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4830 0.4891 0.392 0.608 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.4781 0.0898 0.000 0.660 0.004 0.336
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.5546 0.6939 0.000 0.268 0.052 0.680
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.4866 0.4551 0.000 0.596 0.000 0.404
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4286 0.7394 0.812 0.052 0.000 0.136
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9043 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4866 -0.0344 0.000 0.404 0.000 0.596
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.1867 0.8548 0.000 0.072 0.928 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0592 0.8962 0.984 0.016 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4933 0.3614 0.432 0.568 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3266 0.7528 0.000 0.168 0.000 0.832
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9017 1.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.7856 0.000 0.000 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1867 0.8580 0.928 0.072 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4977 -0.0309 0.000 0.460 0.540 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3975 0.6308 0.240 0.760 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.1197 0.8845 0.000 0.000 0.000 0.952 0.048
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4171 0.3194 0.000 0.000 0.604 0.396 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.4761 0.4757 0.000 0.028 0.616 0.000 0.356
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2036 0.8577 0.000 0.920 0.024 0.056 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.5218 0.4515 0.604 0.060 0.000 0.000 0.336
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.5218 0.4515 0.604 0.060 0.000 0.000 0.336
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2300 0.7930 0.904 0.024 0.000 0.000 0.072
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1851 0.8630 0.000 0.912 0.000 0.088 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0898 0.8075 0.972 0.020 0.000 0.000 0.008
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4714 0.4913 0.644 0.032 0.000 0.000 0.324
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.6944 0.3225 0.100 0.064 0.504 0.000 0.332
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.1341 0.6077 0.056 0.000 0.000 0.000 0.944
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 5 0.8060 -0.0353 0.088 0.292 0.284 0.000 0.336
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2171 0.8585 0.000 0.912 0.024 0.064 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.3949 0.4834 0.000 0.332 0.668 0.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1851 0.8630 0.000 0.912 0.000 0.088 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0703 0.8080 0.976 0.024 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.7454 0.0178 0.248 0.380 0.036 0.000 0.336
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.2236 0.7945 0.908 0.024 0.000 0.000 0.068
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5218 0.4515 0.604 0.060 0.000 0.000 0.336
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.5794 0.4468 0.520 0.096 0.000 0.000 0.384
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.2017 0.8263 0.000 0.912 0.000 0.008 0.080
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.2144 0.8599 0.000 0.912 0.000 0.068 0.020
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.4288 0.3922 0.000 0.012 0.000 0.324 0.664
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.1851 0.8630 0.000 0.912 0.000 0.088 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.4885 0.3607 0.400 0.028 0.000 0.000 0.572
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.6631 0.1974 0.312 0.036 0.000 0.536 0.116
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.6892 0.3269 0.100 0.060 0.508 0.000 0.332
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5218 0.4515 0.604 0.060 0.000 0.000 0.336
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.5206 0.1958 0.000 0.528 0.428 0.044 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.4873 0.4838 0.644 0.312 0.000 0.000 0.044
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.5160 0.4556 0.608 0.056 0.000 0.000 0.336
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0324 0.8091 0.992 0.004 0.000 0.000 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0865 0.8228 0.024 0.972 0.000 0.000 0.004
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.5884 0.5414 0.140 0.168 0.000 0.028 0.664
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5188 0.4598 0.612 0.060 0.000 0.000 0.328
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.2278 0.8289 0.000 0.908 0.032 0.000 0.060
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.4305 0.0438 0.512 0.488 0.000 0.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.2280 0.8028 0.000 0.120 0.000 0.880 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.2238 0.8601 0.000 0.912 0.004 0.064 0.020
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.1851 0.8630 0.000 0.912 0.000 0.088 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.4967 0.6620 0.744 0.028 0.000 0.156 0.072
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.2388 0.7920 0.900 0.028 0.000 0.000 0.072
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0898 0.8075 0.972 0.020 0.000 0.000 0.008
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.2036 0.7975 0.920 0.024 0.000 0.000 0.056
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 5 0.7806 0.0213 0.280 0.060 0.316 0.000 0.344
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 5 0.4682 0.2620 0.000 0.016 0.420 0.000 0.564
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.2300 0.7930 0.904 0.024 0.000 0.000 0.072
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.4101 0.5084 0.332 0.004 0.000 0.000 0.664
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.2300 0.7930 0.904 0.024 0.000 0.000 0.072
#> 5A6AF013-C47E-41BE-9102-07E49330D451 5 0.4114 0.2905 0.000 0.376 0.000 0.000 0.624
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.2917 0.8362 0.000 0.888 0.032 0.028 0.052
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.5603 0.1179 0.476 0.452 0.000 0.000 0.072
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0324 0.8660 0.000 0.004 0.992 0.004 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.2193 0.7960 0.912 0.028 0.000 0.000 0.060
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.3196 0.6948 0.000 0.192 0.804 0.004 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.8088 1.000 0.000 0.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 5 0.5664 0.5501 0.168 0.004 0.000 0.180 0.648
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0794 0.8299 0.000 0.972 0.028 0.000 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.5188 0.4598 0.612 0.060 0.000 0.000 0.328
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.8714 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.7336 -0.1211 0.380 0.028 0.000 0.344 0.248
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
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#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.9265 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5160 0.4556 0.608 0.056 0.000 0.000 0.336
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4182 0.2278 0.000 0.000 0.600 0.000 0.400
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.1341 0.6077 0.056 0.000 0.000 0.000 0.944
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0146 0.95091 0.000 0.004 0.000 0.996 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.3727 0.33747 0.000 0.000 0.612 0.388 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.3782 0.47329 0.412 0.000 0.000 0.000 0.588 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.5618 0.16362 0.536 0.268 0.196 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0713 0.75009 0.972 0.000 0.000 0.000 0.028 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 5 0.3782 0.47329 0.412 0.000 0.000 0.000 0.588 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0547 0.75635 0.980 0.020 0.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.3266 0.56006 0.272 0.000 0.000 0.000 0.728 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.2631 0.60952 0.000 0.180 0.000 0.000 0.820 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.3042 0.60176 0.836 0.032 0.000 0.000 0.128 0.004
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0632 0.75267 0.976 0.000 0.000 0.000 0.024 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2941 0.66534 0.220 0.780 0.000 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.4138 0.40431 0.656 0.020 0.004 0.000 0.000 0.320
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.3868 -0.03381 0.000 0.000 0.496 0.000 0.000 0.504
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 5 0.2219 0.61887 0.136 0.000 0.000 0.000 0.864 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0632 0.75483 0.976 0.024 0.000 0.000 0.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.0000 0.64963 0.000 0.000 0.000 0.000 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.76099 1.000 0.000 0.000 0.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.6064 0.10234 0.352 0.220 0.000 0.000 0.424 0.004
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.0146 0.88896 0.000 0.004 0.000 0.000 0.000 0.996
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3098 0.68924 0.000 0.812 0.000 0.164 0.024 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.3991 0.18879 0.000 0.472 0.000 0.000 0.524 0.004
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.4456 0.19516 0.000 0.456 0.000 0.020 0.520 0.004
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0632 0.75267 0.976 0.000 0.000 0.000 0.024 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0363 0.75814 0.988 0.000 0.000 0.000 0.012 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 5 0.3915 0.47308 0.412 0.004 0.000 0.000 0.584 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 6 0.3769 0.39895 0.000 0.000 0.356 0.004 0.000 0.640
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.4313 0.52285 0.728 0.000 0.000 0.000 0.124 0.148
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0146 0.76093 0.996 0.000 0.000 0.000 0.004 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.5116 0.58648 0.184 0.168 0.000 0.000 0.644 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.0146 0.88912 0.004 0.000 0.000 0.000 0.000 0.996
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0632 0.69940 0.000 0.976 0.000 0.000 0.024 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 5 0.3782 0.47329 0.412 0.000 0.000 0.000 0.588 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0937 0.74115 0.960 0.000 0.000 0.000 0.040 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.0291 0.88768 0.000 0.004 0.004 0.000 0.000 0.992
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.3774 0.47835 0.408 0.000 0.000 0.000 0.592 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.5564 0.13487 0.328 0.000 0.000 0.000 0.156 0.516
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.2092 0.82052 0.000 0.000 0.000 0.876 0.000 0.124
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 5 0.4010 0.47688 0.408 0.008 0.000 0.000 0.584 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.1267 0.64308 0.000 0.060 0.000 0.000 0.940 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 5 0.3774 0.47835 0.408 0.000 0.000 0.000 0.592 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 5 0.1245 0.64505 0.000 0.032 0.000 0.016 0.952 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.3266 0.56006 0.272 0.000 0.000 0.000 0.728 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 5 0.1007 0.64976 0.000 0.044 0.000 0.000 0.956 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 5 0.3774 0.47835 0.408 0.000 0.000 0.000 0.592 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.0632 0.75483 0.976 0.024 0.000 0.000 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4969 0.48161 0.036 0.604 0.332 0.000 0.000 0.028
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.2597 0.67329 0.000 0.824 0.000 0.000 0.176 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.3081 0.59210 0.000 0.220 0.000 0.000 0.776 0.004
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.3012 0.65971 0.008 0.796 0.000 0.000 0.000 0.196
#> 814B2873-3E3E-419E-BA53-F65E322D9338 6 0.1745 0.82796 0.000 0.068 0.012 0.000 0.000 0.920
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 5 0.5663 0.32005 0.000 0.220 0.000 0.000 0.532 0.248
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 5 0.0632 0.64647 0.024 0.000 0.000 0.000 0.976 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.3428 0.53896 0.000 0.000 0.696 0.000 0.000 0.304
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 5 0.3782 0.47329 0.412 0.000 0.000 0.000 0.588 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.3450 0.66640 0.000 0.780 0.000 0.032 0.188 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 6 0.0146 0.88912 0.004 0.000 0.000 0.000 0.000 0.996
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.1219 0.73365 0.948 0.004 0.000 0.000 0.048 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.4308 0.17912 0.000 0.468 0.000 0.012 0.516 0.004
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.3857 -0.00694 0.000 0.468 0.532 0.000 0.000 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.2941 0.66534 0.220 0.780 0.000 0.000 0.000 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 5 0.0458 0.65015 0.000 0.016 0.000 0.000 0.984 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.0632 0.75267 0.976 0.000 0.000 0.000 0.024 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.0632 0.75483 0.976 0.024 0.000 0.000 0.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 1 0.3782 0.05886 0.588 0.412 0.000 0.000 0.000 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 5 0.3756 0.48400 0.400 0.000 0.000 0.000 0.600 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.3864 -0.13918 0.520 0.480 0.000 0.000 0.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 5 0.1007 0.64719 0.000 0.044 0.000 0.000 0.956 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.2260 0.80160 0.000 0.140 0.000 0.860 0.000 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.2912 0.64626 0.000 0.784 0.000 0.216 0.000 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.1663 0.85547 0.000 0.000 0.088 0.912 0.000 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.93052 0.000 0.000 1.000 0.000 0.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0632 0.69940 0.000 0.976 0.000 0.000 0.024 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 5 0.1616 0.63907 0.020 0.048 0.000 0.000 0.932 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.0632 0.75483 0.976 0.024 0.000 0.000 0.000 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 5 0.4306 0.52667 0.032 0.308 0.000 0.000 0.656 0.004
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 6 0.0146 0.89100 0.000 0.000 0.000 0.004 0.000 0.996
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 6 0.3330 0.53668 0.284 0.000 0.000 0.000 0.000 0.716
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.3404 0.63675 0.000 0.760 0.224 0.000 0.000 0.016
#> 54C50491-598E-430B-A04C-AE42D003FE9E 5 0.3774 0.47835 0.408 0.000 0.000 0.000 0.592 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.0632 0.69940 0.000 0.976 0.000 0.000 0.024 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0146 0.92711 0.004 0.000 0.996 0.000 0.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.3171 0.65848 0.012 0.784 0.000 0.204 0.000 0.000
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#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.3833 0.43683 0.444 0.000 0.000 0.000 0.556 0.000
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#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.4366 0.16654 0.428 0.024 0.548 0.000 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.3774 0.47835 0.408 0.000 0.000 0.000 0.592 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3699 0.45325 0.000 0.336 0.000 0.000 0.660 0.004
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.2416 0.75336 0.000 0.000 0.000 0.156 0.000 0.844
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.3351 0.55102 0.288 0.000 0.000 0.000 0.712 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.95430 0.000 0.000 0.000 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0790 0.74723 0.968 0.000 0.000 0.000 0.032 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.3765 0.20841 0.000 0.404 0.596 0.000 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.2941 0.66534 0.220 0.780 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["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 17033 rows and 424 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 0.343 0.770 0.859 0.3704 0.676 0.676
#> 3 3 0.623 0.762 0.897 0.6129 0.715 0.587
#> 4 4 0.532 0.452 0.688 0.2199 0.763 0.490
#> 5 5 0.669 0.717 0.834 0.0817 0.809 0.433
#> 6 6 0.677 0.523 0.742 0.0463 0.910 0.615
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.6343 0.8128 0.840 0.160
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9155 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.8104 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.8608 0.7496 0.716 0.284
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9155 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.9522 0.6475 0.628 0.372
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9155 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0938 0.8147 0.988 0.012
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.2423 0.8205 0.960 0.040
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8104 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9155 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9155 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 1 0.9710 0.6021 0.600 0.400
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.6148 0.8139 0.848 0.152
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.8104 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.9129 0.7046 0.672 0.328
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.8104 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.8104 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.9775 0.5807 0.588 0.412
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.9393 0.6694 0.644 0.356
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1633 0.8183 0.976 0.024
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9155 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.8608 0.7496 0.716 0.284
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9155 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.2948 0.8214 0.948 0.052
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.9608 0.6302 0.616 0.384
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.2603 0.8776 0.044 0.956
#> A727EECD-701F-49C2-A98D-6A85179053B3 1 0.9998 0.3879 0.508 0.492
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9155 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.8499 0.7548 0.724 0.276
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9155 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.8104 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.7453 0.6545 0.212 0.788
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.8499 0.7548 0.724 0.276
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.8104 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.2603 0.8209 0.956 0.044
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.6623 0.7955 0.828 0.172
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.9155 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.9732 0.5951 0.596 0.404
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.8499 0.7548 0.724 0.276
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.2423 0.8205 0.960 0.040
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 1 0.9522 0.6446 0.628 0.372
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9155 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.8499 0.7548 0.724 0.276
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.5842 0.7954 0.860 0.140
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.2603 0.8191 0.956 0.044
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.8104 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.9358 0.6761 0.648 0.352
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.6531 0.8109 0.832 0.168
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.8104 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.9155 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.9155 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.6148 0.8145 0.848 0.152
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2043 0.8192 0.968 0.032
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.8104 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.8104 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.8608 0.7486 0.716 0.284
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.4939 0.8158 0.892 0.108
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 1 0.9795 0.5755 0.584 0.416
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.8104 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1414 0.8170 0.980 0.020
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.9286 0.6867 0.656 0.344
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.8104 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.2043 0.8192 0.968 0.032
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.8104 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 1 0.9775 0.5807 0.588 0.412
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.9155 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.8327 0.7632 0.736 0.264
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.8104 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0672 0.8135 0.992 0.008
#> D65DB90F-4495-467D-A204-F67996E1E515 1 0.9833 0.5589 0.576 0.424
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.9155 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.8661 0.7453 0.712 0.288
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.9155 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.8104 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 1 0.9775 0.5807 0.588 0.412
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.1184 0.8160 0.984 0.016
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.9155 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 1 0.6712 0.8074 0.824 0.176
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.5408 0.7939 0.876 0.124
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.8104 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0672 0.8135 0.992 0.008
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.1414 0.8170 0.980 0.020
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.6148 0.8139 0.848 0.152
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 1 0.8813 0.7346 0.700 0.300
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 1 0.8499 0.7548 0.724 0.276
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.9155 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.6712 0.7164 0.176 0.824
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.7453 0.6545 0.212 0.788
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.8104 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.0000 0.8104 1.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.8104 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.6438 0.8110 0.836 0.164
#> 814B2873-3E3E-419E-BA53-F65E322D9338 1 0.6343 0.8122 0.840 0.160
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.6623 0.7227 0.172 0.828
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.2043 0.8186 0.968 0.032
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.9155 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.9155 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.8104 1.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.7056 0.6890 0.192 0.808
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.8104 1.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.9155 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 1 0.3431 0.8212 0.936 0.064
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 1 0.9775 0.5816 0.588 0.412
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 1 0.9491 0.6545 0.632 0.368
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0000 0.9155 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.1184 0.8158 0.984 0.016
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0000 0.9155 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.2043 0.8195 0.968 0.032
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 1 0.6438 0.8110 0.836 0.164
#> 189E3660-4816-40D0-A0F7-39A958CB6599 1 0.9815 0.5672 0.580 0.420
#> E45A1A52-4285-492D-A868-EB18DE119DF3 1 0.6438 0.8110 0.836 0.164
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.8104 1.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0000 0.9155 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0000 0.9155 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.9358 0.6761 0.648 0.352
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.5946 0.8152 0.856 0.144
#> 3C994968-8C59-4495-975F-D39C908559CE 1 0.6343 0.8121 0.840 0.160
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 1 0.9775 0.5807 0.588 0.412
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.8104 1.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.5519 0.8178 0.872 0.128
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0000 0.8104 1.000 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 1 0.2778 0.8208 0.952 0.048
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 1 0.5946 0.8152 0.856 0.144
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 1 0.9998 0.3886 0.508 0.492
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 1 0.9775 0.5807 0.588 0.412
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.0000 0.9155 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.0000 0.9155 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 1 0.2423 0.8205 0.960 0.040
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 1 0.7674 0.7876 0.776 0.224
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.0938 0.8147 0.988 0.012
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.8499 0.7548 0.724 0.276
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0376 0.8120 0.996 0.004
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 1 0.9775 0.5829 0.588 0.412
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.8499 0.7548 0.724 0.276
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 1 0.9833 0.5500 0.576 0.424
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.8104 1.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.0672 0.8135 0.992 0.008
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 1 0.9815 0.5672 0.580 0.420
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 1 0.6438 0.8110 0.836 0.164
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 2 0.0000 0.9155 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.9970 0.0900 0.468 0.532
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.8104 1.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 1 0.0938 0.8147 0.988 0.012
#> 9F68C7B1-2778-4A19-A92D-A84198806569 1 0.2043 0.8192 0.968 0.032
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 1 0.5946 0.8152 0.856 0.144
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 2 0.0000 0.9155 0.000 1.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.8144 0.7697 0.748 0.252
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 1 0.8499 0.7548 0.724 0.276
#> FB666689-F12A-438F-9458-63A96B6088B1 1 0.4562 0.8209 0.904 0.096
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#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0672 0.8135 0.992 0.008
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.8104 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.8104 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.5946 0.8152 0.856 0.144
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9155 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.2043 0.8192 0.968 0.032
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.7602 0.7574 0.780 0.220
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 1 0.9661 0.6155 0.608 0.392
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.5946 0.8152 0.856 0.144
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.9155 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0672 0.8089 0.992 0.008
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.8104 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.9881 0.5350 0.564 0.436
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 1 0.9775 0.5807 0.588 0.412
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.8104 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 1 0.9129 0.7053 0.672 0.328
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0672 0.8134 0.992 0.008
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.6343 0.7944 0.840 0.160
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.9155 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.8104 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.4690 0.8006 0.900 0.100
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9155 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 1 0.9608 0.6257 0.616 0.384
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.8104 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5946 0.8152 0.856 0.144
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.8104 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.8104 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.9970 0.4584 0.532 0.468
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9155 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 1 0.6712 0.8082 0.824 0.176
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.8104 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.8104 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.6531 0.7288 0.168 0.832
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.8608 0.7496 0.716 0.284
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.8499 0.7548 0.724 0.276
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.9710 0.0392 0.400 0.600
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.8661 0.7465 0.712 0.288
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.9754 0.5901 0.592 0.408
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.6343 0.8121 0.840 0.160
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.6048 0.8003 0.852 0.148
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.8955 0.6585 0.688 0.312
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.2236 0.8201 0.964 0.036
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.5946 0.8152 0.856 0.144
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.8608 0.7496 0.716 0.284
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 1 0.7376 0.7939 0.792 0.208
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.8499 0.7548 0.724 0.276
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9155 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 1 0.8861 0.7318 0.696 0.304
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.8499 0.7548 0.724 0.276
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.2043 0.8192 0.968 0.032
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9155 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9155 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.5946 0.8152 0.856 0.144
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8104 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9155 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9155 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.6438 0.8110 0.836 0.164
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.9775 0.5807 0.588 0.412
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.8104 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.9044 0.7047 0.680 0.320
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.9775 0.5807 0.588 0.412
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.6801 0.7958 0.820 0.180
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.8104 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.2236 0.8200 0.964 0.036
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9155 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.1843 0.8185 0.972 0.028
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.8661 0.6709 0.712 0.288
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.2423 0.8192 0.960 0.040
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.7139 0.7998 0.804 0.196
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.8499 0.7548 0.724 0.276
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 1 0.9775 0.5807 0.588 0.412
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.6148 0.8140 0.848 0.152
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.9608 0.0831 0.384 0.616
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.2043 0.8192 0.968 0.032
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9155 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.6343 0.8121 0.840 0.160
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.9686 0.6109 0.604 0.396
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.2603 0.8209 0.956 0.044
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.1414 0.8150 0.980 0.020
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.8267 0.7661 0.740 0.260
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.8104 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.4815 0.8220 0.896 0.104
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1843 0.8187 0.972 0.028
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.8608 0.7496 0.716 0.284
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.6438 0.8110 0.836 0.164
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0424 0.86804 0.008 0.992 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0237 0.91460 0.000 0.004 0.996
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.86102 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0424 0.86804 0.008 0.992 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.91836 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0747 0.86606 0.000 0.984 0.016
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.91836 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.6225 0.16376 0.568 0.432 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.2165 0.84389 0.064 0.936 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0424 0.85953 0.992 0.008 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.91836 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.91836 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0592 0.86701 0.000 0.988 0.012
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0424 0.86804 0.008 0.992 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1643 0.84218 0.956 0.044 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1337 0.86456 0.012 0.972 0.016
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.2959 0.80811 0.900 0.100 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.6140 0.25740 0.596 0.404 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.2165 0.84458 0.000 0.936 0.064
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0424 0.86771 0.000 0.992 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.5529 0.58556 0.704 0.296 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.91836 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0747 0.86638 0.016 0.984 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.91836 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2165 0.84389 0.064 0.936 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.1482 0.86267 0.020 0.968 0.012
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.1964 0.87214 0.000 0.056 0.944
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.4555 0.71777 0.000 0.800 0.200
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.91836 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.86747 0.000 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.91836 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0237 0.86055 0.996 0.004 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 3 0.5138 0.66233 0.000 0.252 0.748
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.3690 0.80383 0.100 0.884 0.016
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.86102 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.5733 0.49032 0.324 0.676 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.6302 -0.00517 0.480 0.520 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.91836 0.000 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.2066 0.84901 0.000 0.940 0.060
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0592 0.86810 0.000 0.988 0.012
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0424 0.86804 0.008 0.992 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.1170 0.86688 0.008 0.976 0.016
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.91836 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.86747 0.000 1.000 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.6299 0.12497 0.476 0.524 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.6299 0.12497 0.476 0.524 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0424 0.85953 0.992 0.008 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.1525 0.86157 0.004 0.964 0.032
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.1529 0.85770 0.040 0.960 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0424 0.85953 0.992 0.008 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.0000 0.91836 0.000 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.91836 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.0000 0.86747 0.000 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.2165 0.84389 0.064 0.936 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0424 0.85953 0.992 0.008 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0747 0.85977 0.984 0.016 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.2878 0.81012 0.096 0.904 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.2356 0.83889 0.072 0.928 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.5327 0.61500 0.000 0.728 0.272
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1753 0.84478 0.952 0.048 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5859 0.47486 0.656 0.344 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.1529 0.85837 0.000 0.960 0.040
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0592 0.86001 0.988 0.012 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.6295 0.16371 0.528 0.472 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.86102 1.000 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0237 0.86784 0.000 0.996 0.004
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.91836 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0000 0.86747 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0424 0.85953 0.992 0.008 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.3340 0.81141 0.880 0.120 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.5591 0.56197 0.000 0.696 0.304
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.91836 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.86747 0.000 1.000 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.91836 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0424 0.85953 0.992 0.008 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0592 0.86797 0.000 0.988 0.012
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.6286 0.16762 0.464 0.536 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.91836 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.86747 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.2261 0.83144 0.932 0.068 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.4121 0.75582 0.832 0.168 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.3482 0.80377 0.872 0.128 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 2 0.6280 0.19416 0.460 0.540 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.0424 0.86804 0.008 0.992 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.86747 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0424 0.86804 0.008 0.992 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.91836 0.000 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.5529 0.57365 0.000 0.296 0.704
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 3 0.5216 0.64637 0.000 0.260 0.740
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.86102 1.000 0.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.6291 0.17157 0.468 0.532 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1289 0.85175 0.968 0.032 0.000
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#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 2 0.4605 0.71960 0.000 0.796 0.204
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0237 0.86062 0.996 0.004 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.6235 0.17163 0.564 0.436 0.000
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 2 0.2356 0.84079 0.072 0.928 0.000
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 2 0.0424 0.86804 0.008 0.992 0.000
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.0424 0.86804 0.008 0.992 0.000
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.0424 0.86773 0.000 0.992 0.008
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0424 0.86804 0.008 0.992 0.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.0424 0.86804 0.008 0.992 0.000
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.1643 0.88116 0.000 0.044 0.956
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.86747 0.000 1.000 0.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.3038 0.80683 0.896 0.104 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.91836 0.000 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.2796 0.82775 0.000 0.908 0.092
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 2 0.3752 0.77970 0.144 0.856 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.1411 0.85480 0.036 0.964 0.000
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 1 0.3816 0.77259 0.852 0.148 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.91836 0.000 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.0424 0.86804 0.008 0.992 0.000
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0592 0.86701 0.000 0.988 0.012
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.0000 0.91836 0.000 0.000 1.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.4796 0.69437 0.220 0.780 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0424 0.86804 0.008 0.992 0.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.6252 0.23567 0.444 0.556 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.4702 0.72574 0.788 0.212 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.2165 0.84389 0.064 0.936 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.3619 0.78663 0.136 0.864 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.86102 1.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.5706 0.55773 0.320 0.680 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.1289 0.86163 0.000 0.968 0.032
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0592 0.86707 0.000 0.988 0.012
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.5016 0.65124 0.240 0.760 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.86102 1.000 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.86102 1.000 0.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 2 0.6541 0.48849 0.304 0.672 0.024
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0424 0.85953 0.992 0.008 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0424 0.86804 0.008 0.992 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.0000 0.86747 0.000 1.000 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.86102 1.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.91836 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.86102 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.86102 1.000 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.6274 0.19124 0.000 0.456 0.544
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.5968 0.39646 0.000 0.364 0.636
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.5465 0.59298 0.000 0.712 0.288
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0848 0.86801 0.008 0.984 0.008
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.86747 0.000 1.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0237 0.86793 0.004 0.996 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.6274 0.08321 0.456 0.544 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.91836 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.5810 0.53270 0.336 0.664 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.5497 0.52691 0.292 0.708 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0424 0.86809 0.000 0.992 0.008
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.3551 0.79195 0.132 0.868 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.86747 0.000 1.000 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.9191 -0.04231 0.148 0.428 0.424
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.4750 0.70993 0.784 0.216 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.91836 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.86747 0.000 1.000 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.6244 0.24743 0.440 0.560 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.1289 0.86217 0.000 0.968 0.032
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.86102 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5835 0.48698 0.000 0.660 0.340
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.91836 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.2165 0.84389 0.064 0.936 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.86102 1.000 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 3 0.1163 0.89720 0.000 0.028 0.972
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.2959 0.80811 0.900 0.100 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.1170 0.86563 0.008 0.976 0.016
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.2959 0.80664 0.100 0.900 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0592 0.86814 0.012 0.988 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0747 0.86712 0.016 0.984 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.4931 0.67489 0.768 0.232 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.6305 0.11747 0.484 0.516 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0237 0.86055 0.996 0.004 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.4121 0.75418 0.168 0.832 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.91836 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.2711 0.83180 0.088 0.912 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.6225 0.27991 0.568 0.432 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.86747 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.1289 0.86153 0.032 0.968 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.91836 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.5835 0.51074 0.340 0.660 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.2448 0.82732 0.924 0.076 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.2066 0.84859 0.000 0.940 0.060
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.86747 0.000 1.000 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.3116 0.80714 0.892 0.108 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.1170 0.86629 0.008 0.976 0.016
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.4887 0.70598 0.772 0.228 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6280 0.17879 0.460 0.540 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.91836 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.86102 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0424 0.85953 0.992 0.008 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.91836 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0424 0.86804 0.008 0.992 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0424 0.85953 0.992 0.008 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.2711 0.82818 0.088 0.912 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.86102 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.86102 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.4291 0.74570 0.000 0.820 0.180
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.91836 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1950 0.85745 0.008 0.952 0.040
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1529 0.84790 0.960 0.040 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0424 0.85953 0.992 0.008 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.5810 0.49987 0.000 0.336 0.664
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0424 0.86804 0.008 0.992 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.86747 0.000 1.000 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.6079 0.36988 0.000 0.612 0.388
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.1411 0.86220 0.036 0.964 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.1399 0.86349 0.004 0.968 0.028
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0424 0.86804 0.008 0.992 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5363 0.61821 0.276 0.724 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.2878 0.81012 0.096 0.904 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4399 0.72001 0.188 0.812 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2066 0.84628 0.060 0.940 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.0424 0.86778 0.000 0.992 0.008
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.1170 0.86629 0.008 0.976 0.016
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.86747 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.91836 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0747 0.86606 0.000 0.984 0.016
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.1170 0.86629 0.008 0.976 0.016
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0592 0.86786 0.012 0.988 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.91836 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.91836 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.2165 0.84389 0.064 0.936 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0237 0.86055 0.996 0.004 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.91836 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.91836 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.86747 0.000 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.2537 0.83441 0.000 0.920 0.080
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.6180 0.30324 0.416 0.584 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.6079 0.29087 0.388 0.612 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4235 0.75007 0.000 0.824 0.176
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5122 0.72895 0.200 0.788 0.012
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.86102 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2165 0.84389 0.064 0.936 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.91836 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.4931 0.67677 0.232 0.768 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5461 0.66574 0.244 0.748 0.008
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0424 0.86804 0.008 0.992 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.86747 0.000 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.86747 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0747 0.86606 0.000 0.984 0.016
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0424 0.86804 0.008 0.992 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.6168 0.26492 0.000 0.412 0.588
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.2165 0.84389 0.064 0.936 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.91836 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0424 0.86804 0.008 0.992 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.1289 0.86217 0.000 0.968 0.032
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6062 0.43643 0.616 0.384 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.5948 0.47086 0.360 0.640 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.86747 0.000 1.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2878 0.81356 0.904 0.096 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.2796 0.81698 0.092 0.908 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.6302 0.12096 0.520 0.480 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0237 0.86794 0.000 0.996 0.004
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0592 0.86821 0.012 0.988 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.3400 0.19185 0.000 0.180 0.000 0.820
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0707 0.88552 0.000 0.000 0.980 0.020
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4948 0.40799 0.000 0.560 0.000 0.440
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.1677 0.40824 0.000 0.948 0.012 0.040
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.2892 0.43311 0.036 0.068 0.000 0.896
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4948 0.40806 0.000 0.560 0.000 0.440
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.89866 0.000 0.000 1.000 0.000
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#> B9D00918-34DC-4061-AC22-C5E2D5099D30 4 0.5032 0.31641 0.156 0.080 0.000 0.764
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.5489 0.14081 0.040 0.664 0.000 0.296
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 4 0.4535 0.17807 0.016 0.240 0.000 0.744
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 2 0.4584 0.19485 0.300 0.696 0.000 0.004
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.4817 0.49063 0.000 0.388 0.000 0.612
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.2973 0.31963 0.000 0.144 0.000 0.856
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.7818 0.02449 0.404 0.332 0.000 0.264
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.1211 0.79527 0.960 0.040 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5883 0.19258 0.000 0.572 0.388 0.040
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.2282 0.39862 0.000 0.924 0.024 0.052
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.1211 0.79527 0.960 0.040 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5528 0.44412 0.000 0.700 0.064 0.236
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.3464 0.47656 0.032 0.108 0.000 0.860
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6052 -0.08449 0.076 0.640 0.000 0.284
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.5787 0.50125 0.680 0.244 0.000 0.076
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.6773 -0.03848 0.000 0.284 0.132 0.584
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.4925 0.46490 0.000 0.428 0.000 0.572
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.6292 0.51198 0.592 0.076 0.000 0.332
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.5865 0.22182 0.000 0.412 0.552 0.036
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0657 0.43784 0.000 0.012 0.004 0.984
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0188 0.80180 0.996 0.004 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.5052 0.55446 0.720 0.244 0.000 0.036
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4244 0.72345 0.000 0.168 0.800 0.032
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.4804 0.43149 0.000 0.616 0.000 0.384
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.2500 0.43330 0.040 0.916 0.000 0.044
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.5321 0.50126 0.000 0.296 0.672 0.032
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.7183 0.37860 0.112 0.508 0.008 0.372
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.7121 0.35354 0.000 0.544 0.292 0.164
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4967 0.40017 0.000 0.548 0.000 0.452
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4817 0.49007 0.000 0.388 0.000 0.612
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4830 0.48969 0.000 0.392 0.000 0.608
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.4800 0.49646 0.004 0.340 0.000 0.656
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4804 0.43146 0.000 0.616 0.000 0.384
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.2685 0.43550 0.040 0.912 0.004 0.044
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5420 0.43869 0.000 0.624 0.024 0.352
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.3528 0.35474 0.000 0.808 0.000 0.192
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0927 0.42695 0.000 0.976 0.016 0.008
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5217 0.43099 0.000 0.608 0.012 0.380
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 4 0.4331 0.03463 0.000 0.288 0.000 0.712
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.4972 0.39753 0.000 0.544 0.000 0.456
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.80259 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.3975 0.13300 0.000 0.760 0.000 0.240
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4830 0.48969 0.000 0.392 0.000 0.608
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 4 0.7328 -0.25482 0.156 0.392 0.000 0.452
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5579 0.16382 0.252 0.688 0.000 0.060
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.4991 0.48977 0.000 0.388 0.004 0.608
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.6090 0.42533 0.052 0.564 0.000 0.384
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1211 0.79527 0.960 0.040 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.5229 0.41194 0.008 0.564 0.000 0.428
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.4790 0.48983 0.000 0.380 0.000 0.620
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.6556 0.47596 0.008 0.244 0.108 0.640
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4790 0.43241 0.000 0.620 0.000 0.380
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.42937 0.000 1.000 0.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4830 0.48969 0.000 0.392 0.000 0.608
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.2494 0.40723 0.000 0.916 0.036 0.048
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0469 0.43688 0.000 0.012 0.000 0.988
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.7168 0.38157 0.000 0.236 0.556 0.208
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.3219 0.30698 0.000 0.164 0.000 0.836
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.89866 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.3400 0.20140 0.000 0.180 0.000 0.820
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.7375 0.26136 0.000 0.480 0.348 0.172
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.5984 -0.27110 0.048 0.580 0.000 0.372
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.7442 0.32702 0.176 0.456 0.000 0.368
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.4985 0.41500 0.000 0.468 0.000 0.532
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1398 0.79458 0.956 0.040 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4830 0.48969 0.000 0.392 0.000 0.608
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.7662 0.22846 0.436 0.220 0.000 0.344
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2081 0.44788 0.000 0.916 0.000 0.084
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4790 0.43241 0.000 0.620 0.000 0.380
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.3177 0.7313 0.000 0.208 0.000 0.792 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.2424 0.7905 0.000 0.000 0.868 0.132 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0162 0.9152 0.996 0.004 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2011 0.7555 0.000 0.908 0.000 0.004 0.088
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1851 0.8488 0.000 0.000 0.912 0.000 0.088
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.2020 0.7895 0.000 0.100 0.000 0.000 0.900
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.3821 0.7261 0.000 0.148 0.000 0.800 0.052
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.0162 0.8069 0.004 0.996 0.000 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9166 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1851 0.8488 0.000 0.000 0.912 0.000 0.088
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.8069 0.000 1.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.8025 0.2468 0.264 0.420 0.000 0.124 0.192
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 5 0.2359 0.7906 0.000 0.060 0.000 0.036 0.904
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.4161 0.2476 0.608 0.392 0.000 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.3276 0.7479 0.000 0.132 0.000 0.836 0.032
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.8206 -0.0516 0.276 0.108 0.000 0.296 0.320
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 5 0.3895 0.6340 0.000 0.320 0.000 0.000 0.680
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.8069 0.000 1.000 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 5 0.2648 0.7742 0.000 0.152 0.000 0.000 0.848
#> BFF05691-3DC6-4666-A586-5DA826190D0C 5 0.3586 0.5798 0.000 0.000 0.264 0.000 0.736
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6296 0.2364 0.000 0.160 0.480 0.000 0.360
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.6294 0.1339 0.000 0.156 0.000 0.468 0.376
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9166 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.2050 0.7991 0.000 0.008 0.064 0.920 0.008
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 5 0.3039 0.7428 0.000 0.192 0.000 0.000 0.808
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.2511 0.8622 0.892 0.000 0.000 0.080 0.028
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.1544 0.7901 0.000 0.068 0.000 0.000 0.932
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.5714 0.5737 0.000 0.116 0.000 0.592 0.292
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1121 0.8703 0.000 0.000 0.956 0.000 0.044
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 5 0.2293 0.7905 0.000 0.084 0.016 0.000 0.900
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 5 0.2227 0.7924 0.000 0.048 0.004 0.032 0.916
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3863 0.6617 0.000 0.772 0.000 0.200 0.028
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.1732 0.8235 0.000 0.080 0.000 0.920 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 5 0.3495 0.7355 0.000 0.028 0.000 0.160 0.812
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.4973 0.6033 0.016 0.056 0.000 0.216 0.712
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4264 0.4195 0.000 0.004 0.000 0.620 0.376
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.3781 0.7356 0.040 0.076 0.000 0.044 0.840
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.7608 -0.0231 0.100 0.424 0.348 0.000 0.128
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.4242 -0.0424 0.000 0.572 0.000 0.000 0.428
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1638 0.8842 0.932 0.004 0.000 0.000 0.064
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.4256 0.3279 0.000 0.000 0.564 0.000 0.436
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.4101 0.5537 0.000 0.372 0.000 0.000 0.628
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.0162 0.8066 0.000 0.996 0.000 0.004 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3579 0.8295 0.836 0.004 0.000 0.080 0.080
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.7694 0.1623 0.080 0.176 0.000 0.416 0.328
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.1608 0.7924 0.000 0.072 0.000 0.000 0.928
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.2797 0.7729 0.000 0.880 0.000 0.060 0.060
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 5 0.4302 0.2110 0.000 0.000 0.000 0.480 0.520
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0579 0.9114 0.984 0.008 0.000 0.000 0.008
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2144 0.8767 0.912 0.020 0.000 0.000 0.068
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 5 0.3123 0.7639 0.000 0.184 0.004 0.000 0.812
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0609 0.9083 0.980 0.020 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.2573 0.7729 0.016 0.104 0.000 0.000 0.880
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5909 0.5051 0.632 0.256 0.000 0.080 0.032
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 5 0.3639 0.7422 0.000 0.184 0.000 0.024 0.792
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.4558 0.7579 0.000 0.168 0.000 0.744 0.088
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1764 0.8834 0.928 0.008 0.000 0.000 0.064
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.5408 0.1827 0.000 0.060 0.000 0.408 0.532
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.1981 0.8019 0.000 0.000 0.016 0.920 0.064
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
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#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0451 0.8023 0.000 0.008 0.000 0.988 0.004
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0162 0.8066 0.000 0.996 0.000 0.000 0.004
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.3966 0.6123 0.000 0.336 0.000 0.000 0.664
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2891 0.6828 0.000 0.824 0.000 0.000 0.176
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5930 0.5872 0.000 0.208 0.000 0.596 0.196
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 5 0.2020 0.7895 0.000 0.100 0.000 0.000 0.900
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.1792 0.7590 0.000 0.916 0.000 0.000 0.084
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.2690 0.7197 0.000 0.844 0.000 0.156 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.0162 0.8066 0.000 0.996 0.000 0.004 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9166 1.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1410 0.8631 0.000 0.000 0.940 0.000 0.060
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.3608 0.7466 0.000 0.040 0.000 0.148 0.812
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4246 0.7404 0.044 0.812 0.000 0.084 0.060
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.0963 0.7882 0.000 0.036 0.000 0.000 0.964
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.2929 0.7548 0.000 0.820 0.000 0.000 0.180
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9166 1.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0162 0.8069 0.004 0.996 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1851 0.8488 0.000 0.000 0.912 0.000 0.088
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.1732 0.7991 0.000 0.000 0.000 0.920 0.080
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.1956 0.8251 0.000 0.076 0.000 0.916 0.008
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.8069 0.000 1.000 0.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.3123 0.7653 0.000 0.184 0.000 0.004 0.812
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.1894 0.8043 0.000 0.008 0.000 0.920 0.072
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 5 0.2074 0.7887 0.000 0.104 0.000 0.000 0.896
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.1851 0.8236 0.000 0.088 0.000 0.912 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.4356 0.4601 0.000 0.012 0.648 0.340 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.1908 0.7698 0.000 0.908 0.000 0.092 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8873 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.1792 0.8230 0.000 0.084 0.000 0.916 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.5771 -0.0791 0.000 0.480 0.432 0.000 0.088
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.3916 0.7504 0.004 0.056 0.000 0.136 0.804
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.6043 0.6553 0.092 0.672 0.000 0.072 0.164
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.3741 0.6284 0.000 0.004 0.000 0.264 0.732
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9166 1.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.1792 0.7980 0.000 0.000 0.000 0.916 0.084
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.3395 0.6502 0.236 0.764 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 5 0.4256 0.3391 0.000 0.436 0.000 0.000 0.564
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0963 0.8035 0.000 0.964 0.000 0.000 0.036
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0260 0.78033 0.000 0.000 0.000 0.992 0.008 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.3371 0.55240 0.000 0.000 0.708 0.292 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1124 0.83062 0.956 0.008 0.000 0.000 0.036 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.52926 0.000 1.000 0.000 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.2941 0.71470 0.000 0.220 0.780 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.4378 0.48592 0.000 0.032 0.000 0.600 0.368 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.3345 0.48532 0.000 0.776 0.000 0.020 0.204 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0146 0.84144 0.996 0.004 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2941 0.71470 0.000 0.220 0.780 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.2823 0.49383 0.000 0.796 0.000 0.000 0.204 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.5794 -0.04268 0.024 0.000 0.000 0.100 0.484 0.392
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3940 0.36997 0.640 0.012 0.000 0.000 0.348 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.4553 0.51345 0.000 0.052 0.000 0.620 0.328 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 6 0.8699 -0.06513 0.144 0.168 0.000 0.188 0.168 0.332
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.3493 0.45439 0.000 0.796 0.000 0.000 0.148 0.056
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 5 0.3868 0.18652 0.000 0.492 0.000 0.000 0.508 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.3615 0.62245 0.000 0.292 0.000 0.000 0.008 0.700
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.5419 0.52486 0.000 0.220 0.200 0.000 0.000 0.580
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.5992 0.16452 0.000 0.352 0.412 0.000 0.000 0.236
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.5204 0.31054 0.000 0.100 0.000 0.536 0.000 0.364
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.84283 1.000 0.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.5523 0.26353 0.000 0.500 0.000 0.000 0.140 0.360
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.3464 0.61806 0.688 0.000 0.000 0.000 0.312 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 6 0.5565 0.04379 0.000 0.340 0.000 0.000 0.152 0.508
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.7232 0.11991 0.000 0.132 0.000 0.356 0.160 0.352
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1075 0.82753 0.000 0.048 0.952 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.3315 0.67577 0.000 0.200 0.000 0.000 0.020 0.780
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 5 0.6423 0.28062 0.000 0.292 0.000 0.136 0.508 0.064
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.3133 0.58461 0.000 0.008 0.000 0.212 0.000 0.780
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.5498 -0.01647 0.000 0.004 0.000 0.116 0.504 0.376
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.5855 -0.13727 0.000 0.000 0.000 0.352 0.448 0.200
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 6 0.2915 0.53119 0.008 0.000 0.000 0.000 0.184 0.808
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.3054 0.47448 0.040 0.840 0.116 0.000 0.000 0.004
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.2420 0.53191 0.000 0.884 0.000 0.000 0.076 0.040
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.5180 0.51675 0.616 0.000 0.000 0.000 0.164 0.220
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.5945 0.02563 0.000 0.220 0.420 0.000 0.000 0.360
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.2531 0.48543 0.000 0.856 0.000 0.000 0.012 0.132
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.3315 0.48760 0.000 0.780 0.000 0.020 0.200 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.5928 0.32833 0.436 0.000 0.000 0.000 0.344 0.220
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.5386 -0.03401 0.000 0.000 0.000 0.116 0.496 0.388
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 5 0.3507 0.33163 0.000 0.216 0.000 0.012 0.764 0.008
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3531 0.38969 0.000 0.000 0.000 0.672 0.000 0.328
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0291 0.84039 0.992 0.004 0.000 0.000 0.004 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.7002 0.36127 0.480 0.148 0.000 0.000 0.152 0.220
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.3790 0.64408 0.000 0.116 0.000 0.000 0.104 0.780
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1219 0.81356 0.948 0.048 0.000 0.000 0.004 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.0146 0.64494 0.000 0.000 0.000 0.000 0.004 0.996
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.4524 0.46107 0.560 0.036 0.000 0.000 0.404 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 6 0.4851 0.52816 0.000 0.336 0.000 0.028 0.028 0.608
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.4526 0.61898 0.000 0.164 0.000 0.704 0.000 0.132
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.5265 0.50883 0.604 0.000 0.000 0.000 0.176 0.220
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 6 0.6061 0.08350 0.000 0.008 0.000 0.368 0.192 0.432
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.84283 1.000 0.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.4566 0.59485 0.000 0.160 0.000 0.700 0.140 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 6 0.4097 0.18137 0.008 0.000 0.000 0.000 0.492 0.500
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.3053 0.74064 0.812 0.020 0.000 0.000 0.168 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 6 0.3408 0.53573 0.000 0.048 0.000 0.000 0.152 0.800
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0806 0.83292 0.972 0.020 0.000 0.000 0.008 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.2823 0.49383 0.000 0.796 0.000 0.000 0.204 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.5877 0.05872 0.000 0.568 0.000 0.052 0.288 0.092
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.2941 0.71470 0.000 0.220 0.780 0.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.4092 0.55375 0.000 0.344 0.636 0.000 0.000 0.020
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.6909 0.11400 0.132 0.004 0.000 0.136 0.508 0.220
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 5 0.2706 0.38992 0.008 0.160 0.000 0.000 0.832 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 6 0.4757 0.16536 0.048 0.000 0.000 0.000 0.468 0.484
#> 5A6AF013-C47E-41BE-9102-07E49330D451 5 0.5191 0.24315 0.000 0.400 0.000 0.000 0.508 0.092
#> 814B2873-3E3E-419E-BA53-F65E322D9338 6 0.5595 0.20360 0.000 0.268 0.000 0.000 0.192 0.540
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.5077 0.43400 0.000 0.360 0.552 0.000 0.000 0.088
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 6 0.4967 0.35504 0.000 0.132 0.000 0.000 0.228 0.640
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.5564 0.26296 0.516 0.000 0.000 0.328 0.156 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 6 0.5237 0.54835 0.000 0.220 0.172 0.000 0.000 0.608
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.2135 0.74105 0.872 0.128 0.000 0.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
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#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.2762 0.73328 0.000 0.196 0.804 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.3052 0.57846 0.000 0.000 0.000 0.216 0.004 0.780
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 5 0.2553 0.38972 0.008 0.144 0.000 0.000 0.848 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.2416 0.55562 0.000 0.000 0.000 0.000 0.156 0.844
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.5411 0.27638 0.000 0.572 0.000 0.000 0.168 0.260
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.84283 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 5 0.3868 0.18652 0.000 0.492 0.000 0.000 0.508 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.2912 0.71787 0.000 0.216 0.784 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0547 0.77866 0.000 0.000 0.000 0.980 0.020 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.2996 0.47207 0.000 0.772 0.000 0.000 0.228 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.3558 0.58734 0.000 0.032 0.000 0.004 0.184 0.780
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0777 0.77681 0.000 0.004 0.000 0.972 0.000 0.024
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.2941 0.67674 0.000 0.220 0.000 0.000 0.000 0.780
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.1327 0.75812 0.000 0.064 0.000 0.936 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.6050 0.08020 0.000 0.000 0.312 0.412 0.276 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.4546 0.40379 0.000 0.692 0.000 0.104 0.204 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.85153 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0000 0.78363 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2416 0.46281 0.000 0.844 0.156 0.000 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.3398 0.57559 0.000 0.012 0.000 0.216 0.004 0.768
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3101 0.32764 0.000 0.032 0.000 0.000 0.820 0.148
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.3547 0.46028 0.000 0.000 0.000 0.300 0.004 0.696
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.84283 1.000 0.000 0.000 0.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0865 0.77171 0.000 0.000 0.000 0.964 0.000 0.036
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.4898 0.36689 0.144 0.656 0.000 0.000 0.200 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 6 0.6124 0.09483 0.000 0.328 0.000 0.000 0.316 0.356
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 5 0.3867 0.19111 0.000 0.488 0.000 0.000 0.512 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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.612 0.788 0.886 0.3333 0.743 0.743
#> 3 3 0.458 0.786 0.850 0.6806 0.644 0.534
#> 4 4 0.497 0.686 0.815 0.2393 0.740 0.473
#> 5 5 0.486 0.362 0.624 0.0823 0.793 0.429
#> 6 6 0.558 0.449 0.646 0.0686 0.875 0.526
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.1414 0.8637 0.980 0.020
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 1 0.9522 0.4954 0.628 0.372
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2236 0.8697 0.964 0.036
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.9815 0.4778 0.580 0.420
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.9580 0.1894 0.380 0.620
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.4431 0.8624 0.908 0.092
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9158 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0376 0.8644 0.996 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.2423 0.8701 0.960 0.040
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1414 0.8667 0.980 0.020
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.1843 0.8917 0.028 0.972
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9158 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 1 0.2603 0.8658 0.956 0.044
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.5946 0.8346 0.856 0.144
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.8628 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.4022 0.8654 0.920 0.080
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0938 0.8651 0.988 0.012
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0672 0.8637 0.992 0.008
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.2603 0.8658 0.956 0.044
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.2603 0.8658 0.956 0.044
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.3584 0.8663 0.932 0.068
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9158 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.4939 0.8611 0.892 0.108
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9158 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.9393 0.5281 0.644 0.356
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.4562 0.8608 0.904 0.096
#> BFF05691-3DC6-4666-A586-5DA826190D0C 1 0.4022 0.8654 0.920 0.080
#> A727EECD-701F-49C2-A98D-6A85179053B3 1 0.4562 0.8608 0.904 0.096
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9158 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.4022 0.8654 0.920 0.080
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.5842 0.7746 0.140 0.860
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1184 0.8652 0.984 0.016
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 1 0.2603 0.8658 0.956 0.044
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.4562 0.8608 0.904 0.096
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1184 0.8652 0.984 0.016
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.3733 0.8663 0.928 0.072
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.3733 0.8675 0.928 0.072
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.9158 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.4431 0.8639 0.908 0.092
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.4022 0.8654 0.920 0.080
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.8608 0.6035 0.716 0.284
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 1 0.2423 0.8662 0.960 0.040
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9158 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.4022 0.8654 0.920 0.080
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.0938 0.8674 0.988 0.012
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0938 0.8673 0.988 0.012
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2948 0.8696 0.948 0.052
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.8955 0.6585 0.688 0.312
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.3733 0.8664 0.928 0.072
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2236 0.8697 0.964 0.036
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 1 0.4022 0.8654 0.920 0.080
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.9158 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.3733 0.8663 0.928 0.072
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2236 0.8703 0.964 0.036
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.2043 0.8692 0.968 0.032
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0672 0.8661 0.992 0.008
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.4562 0.8608 0.904 0.096
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.9286 0.5396 0.656 0.344
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 1 0.2603 0.8658 0.956 0.044
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1184 0.8652 0.984 0.016
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2948 0.8695 0.948 0.052
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.4431 0.8639 0.908 0.092
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1184 0.8652 0.984 0.016
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.2948 0.8686 0.948 0.052
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0938 0.8651 0.988 0.012
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 1 0.3584 0.8687 0.932 0.068
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.9158 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.2043 0.8678 0.968 0.032
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2603 0.8700 0.956 0.044
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0376 0.8644 0.996 0.004
#> D65DB90F-4495-467D-A204-F67996E1E515 1 0.2423 0.8662 0.960 0.040
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.1633 0.8954 0.024 0.976
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.4022 0.8654 0.920 0.080
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.9933 -0.1140 0.452 0.548
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.2043 0.8692 0.968 0.032
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 1 0.4022 0.8654 0.920 0.080
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.1414 0.8643 0.980 0.020
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.9158 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 1 0.2603 0.8658 0.956 0.044
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.1184 0.8683 0.984 0.016
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0938 0.8651 0.988 0.012
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.3114 0.8687 0.944 0.056
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.1414 0.8667 0.980 0.020
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.8555 0.7070 0.720 0.280
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 1 0.2603 0.8658 0.956 0.044
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 1 0.9732 0.4970 0.596 0.404
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.9158 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.9963 -0.1605 0.464 0.536
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 1 0.2603 0.8658 0.956 0.044
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.1843 0.8700 0.972 0.028
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.9129 0.5282 0.672 0.328
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.1633 0.8701 0.976 0.024
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.9580 0.5048 0.620 0.380
#> 814B2873-3E3E-419E-BA53-F65E322D9338 1 0.4431 0.8636 0.908 0.092
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 1 0.9881 0.4578 0.564 0.436
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.3114 0.8687 0.944 0.056
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 1 0.9850 0.4611 0.572 0.428
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.9158 0.000 1.000
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#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 1 0.2603 0.8658 0.956 0.044
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 1 0.9795 0.4705 0.584 0.416
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 1 0.9248 0.5274 0.660 0.340
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 1 0.9286 0.5089 0.656 0.344
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 1 0.9129 0.5282 0.672 0.328
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.3431 0.8687 0.936 0.064
#> 2908E927-F233-446D-AED9-D26F36013EDA 1 0.9209 0.5854 0.664 0.336
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.2236 0.8676 0.964 0.036
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.1184 0.8652 0.984 0.016
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.2948 0.8686 0.948 0.052
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.9996 -0.2404 0.488 0.512
#> 577E5B95-C657-43E4-955A-4E5152901661 1 0.4562 0.8608 0.904 0.096
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.2043 0.8715 0.968 0.032
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.8628 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0938 0.8651 0.988 0.012
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.4939 0.8593 0.892 0.108
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.1184 0.8652 0.984 0.016
#> F93481C3-1054-44AD-8D70-3639E7921F74 1 0.8955 0.5662 0.688 0.312
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.4022 0.8654 0.920 0.080
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.1184 0.8652 0.984 0.016
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.9158 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.1184 0.8652 0.984 0.016
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0938 0.8651 0.988 0.012
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 1 0.9635 0.4791 0.612 0.388
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.5946 0.7571 0.144 0.856
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 1 0.4022 0.8654 0.920 0.080
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 1 0.9815 0.4701 0.580 0.420
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 1 0.4022 0.8654 0.920 0.080
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 1 0.3584 0.8681 0.932 0.068
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.3733 0.8663 0.928 0.072
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.9158 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.2603 0.8707 0.956 0.044
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.4022 0.8654 0.920 0.080
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 1 0.9635 0.4791 0.612 0.388
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.4022 0.8654 0.920 0.080
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 1 0.5842 0.8456 0.860 0.140
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 1 0.4022 0.8654 0.920 0.080
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.2603 0.8658 0.956 0.044
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.6973 0.6889 0.188 0.812
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 1 0.2603 0.8658 0.956 0.044
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.9087 0.5357 0.676 0.324
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 1 0.8207 0.7354 0.744 0.256
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.2423 0.8699 0.960 0.040
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 1 0.2603 0.8658 0.956 0.044
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.9158 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.4562 0.8233 0.904 0.096
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.1414 0.8692 0.980 0.020
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 1 0.4022 0.8654 0.920 0.080
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.1184 0.8652 0.984 0.016
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.9661 0.5365 0.608 0.392
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.4022 0.8654 0.920 0.080
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.9580 0.5048 0.620 0.380
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.3114 0.8687 0.944 0.056
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.2948 0.8686 0.948 0.052
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0938 0.8651 0.988 0.012
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.1184 0.8652 0.984 0.016
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.3733 0.8663 0.928 0.072
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9158 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0376 0.8640 0.996 0.004
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.4562 0.8608 0.904 0.096
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 1 0.2603 0.8658 0.956 0.044
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.2423 0.8731 0.960 0.040
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.9977 -0.1956 0.472 0.528
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.9129 0.5282 0.672 0.328
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.1184 0.8652 0.984 0.016
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.9896 0.4483 0.560 0.440
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 1 0.4022 0.8654 0.920 0.080
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0938 0.8651 0.988 0.012
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 1 0.9686 0.4949 0.604 0.396
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0672 0.8637 0.992 0.008
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.2778 0.8720 0.952 0.048
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.9158 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.1184 0.8652 0.984 0.016
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.1633 0.8701 0.976 0.024
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9158 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 1 0.9286 0.5089 0.656 0.344
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.1184 0.8652 0.984 0.016
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.1414 0.8668 0.980 0.020
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0938 0.8652 0.988 0.012
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.1184 0.8652 0.984 0.016
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.8813 0.4383 0.300 0.700
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9158 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 1 0.6048 0.7836 0.852 0.148
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1184 0.8652 0.984 0.016
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.1633 0.8698 0.976 0.024
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 1 0.9635 0.5439 0.612 0.388
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.8713 0.6920 0.708 0.292
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.4022 0.8654 0.920 0.080
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.6247 0.7397 0.156 0.844
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.9795 0.4796 0.584 0.416
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.9795 0.4796 0.584 0.416
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.9580 0.5048 0.620 0.380
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.2603 0.8658 0.956 0.044
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.2603 0.8658 0.956 0.044
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.1414 0.8643 0.980 0.020
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.4690 0.8571 0.900 0.100
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4562 0.8608 0.904 0.096
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 1 0.9686 0.4949 0.604 0.396
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.3733 0.8679 0.928 0.072
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9158 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 1 0.7674 0.7611 0.776 0.224
#> 39691679-6FEB-4767-8718-81CDB63E625F 1 0.9754 0.4885 0.592 0.408
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.9286 0.5089 0.656 0.344
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9158 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9158 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3274 0.8683 0.940 0.060
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1184 0.8652 0.984 0.016
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9158 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9158 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.3584 0.8681 0.932 0.068
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.2603 0.8658 0.956 0.044
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.9129 0.5282 0.672 0.328
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.4022 0.8654 0.920 0.080
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.2603 0.8658 0.956 0.044
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.9732 0.4871 0.596 0.404
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1184 0.8652 0.984 0.016
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.9393 0.5221 0.644 0.356
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9158 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.2603 0.8658 0.956 0.044
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.2236 0.8662 0.964 0.036
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.9580 0.5048 0.620 0.380
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.4022 0.8654 0.920 0.080
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.2603 0.8658 0.956 0.044
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 1 0.4022 0.8654 0.920 0.080
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.2236 0.8663 0.964 0.036
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 1 0.9286 0.5089 0.656 0.344
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0672 0.8637 0.992 0.008
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9158 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.2043 0.8648 0.968 0.032
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.9896 0.4483 0.560 0.440
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.2236 0.8709 0.964 0.036
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2948 0.8709 0.948 0.052
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.3114 0.8708 0.944 0.056
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0938 0.8651 0.988 0.012
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.2603 0.8658 0.956 0.044
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.2778 0.8698 0.952 0.048
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.9661 0.5339 0.608 0.392
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.9580 0.5048 0.620 0.380
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.3752 0.77716 0.856 0.144 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 1 0.2711 0.82089 0.912 0.088 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1529 0.85811 0.960 0.040 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.4452 0.82420 0.808 0.192 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.6882 0.62803 0.096 0.172 0.732
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2356 0.80567 0.072 0.928 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.95134 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.4178 0.74062 0.828 0.172 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4235 0.83612 0.824 0.176 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1643 0.85901 0.956 0.044 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4277 0.79756 0.016 0.132 0.852
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.95134 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.3752 0.77277 0.144 0.856 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.4452 0.82420 0.808 0.192 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1411 0.85694 0.964 0.036 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.1964 0.80465 0.056 0.944 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0237 0.85104 0.996 0.004 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2356 0.83814 0.928 0.072 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.3752 0.77277 0.144 0.856 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.3752 0.77277 0.144 0.856 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4452 0.82420 0.808 0.192 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.95134 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.4399 0.82991 0.812 0.188 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.95134 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.2356 0.85689 0.928 0.072 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.5098 0.78341 0.752 0.248 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.1964 0.80465 0.056 0.944 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.4178 0.74979 0.172 0.828 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.95134 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1964 0.80465 0.056 0.944 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.5695 0.73824 0.076 0.120 0.804
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1411 0.85694 0.964 0.036 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.3752 0.77277 0.144 0.856 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.5098 0.78323 0.752 0.248 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1411 0.85694 0.964 0.036 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.4702 0.81396 0.788 0.212 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.3038 0.80083 0.104 0.896 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.6775 0.76151 0.744 0.112 0.144
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.6008 0.35361 0.372 0.628 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.1964 0.80465 0.056 0.944 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.0747 0.84879 0.984 0.016 0.000
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#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.2165 0.81059 0.936 0.064 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.95134 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.95134 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4452 0.82420 0.808 0.192 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1411 0.85694 0.964 0.036 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.95134 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.95134 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.3267 0.79745 0.116 0.884 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.3752 0.77277 0.144 0.856 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0592 0.85078 0.988 0.012 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.3038 0.81178 0.104 0.896 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.3752 0.77277 0.144 0.856 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.4178 0.83595 0.828 0.172 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1411 0.85694 0.964 0.036 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.2066 0.85769 0.940 0.060 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0237 0.94722 0.000 0.004 0.996
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.4346 0.77026 0.184 0.816 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5397 0.70245 0.280 0.720 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.3941 0.82564 0.844 0.156 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.4002 0.76217 0.160 0.840 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.3752 0.77277 0.144 0.856 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.2165 0.80526 0.064 0.936 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.3752 0.77277 0.144 0.856 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 1 0.2165 0.81059 0.936 0.064 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.1860 0.85547 0.948 0.052 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.95134 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.5905 0.36177 0.648 0.352 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.4555 0.82118 0.800 0.200 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6008 0.53779 0.372 0.628 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2625 0.86034 0.916 0.084 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.3192 0.81015 0.112 0.888 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0237 0.85104 0.996 0.004 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.3752 0.77277 0.144 0.856 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.3686 0.84722 0.860 0.140 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.5098 0.77000 0.752 0.248 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.3879 0.82455 0.848 0.152 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.5898 0.6747 0.056 0.316 0.000 0.628
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.5435 -0.2790 0.016 0.564 0.000 0.420
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.7485 0.3566 0.440 0.180 0.000 0.380
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5288 0.6261 0.000 0.068 0.732 0.200
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.2198 0.7734 0.008 0.072 0.000 0.920
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.6757 0.6129 0.196 0.192 0.000 0.612
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4791 0.7125 0.784 0.080 0.000 0.136
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4461 0.6870 0.016 0.012 0.788 0.184
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.6360 0.6493 0.656 0.164 0.000 0.180
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4205 0.6910 0.820 0.124 0.000 0.056
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.0336 0.7800 0.000 0.008 0.000 0.992
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.2814 0.6512 0.868 0.132 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.7578 0.4015 0.284 0.236 0.000 0.480
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6231 0.6547 0.668 0.148 0.000 0.184
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.6352 0.6492 0.656 0.156 0.000 0.188
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.5657 0.6903 0.160 0.720 0.000 0.120
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 1 0.7101 0.4503 0.504 0.136 0.000 0.360
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.1557 0.7690 0.000 0.056 0.000 0.944
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.2149 0.7652 0.000 0.088 0.000 0.912
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.4123 0.7525 0.000 0.044 0.820 0.136
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.6751 0.5788 0.592 0.136 0.000 0.272
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0336 0.7309 0.992 0.008 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5857 0.6759 0.696 0.108 0.000 0.196
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.2730 0.7694 0.016 0.088 0.000 0.896
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.7881 0.6077 0.604 0.180 0.096 0.120
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.0376 0.7789 0.004 0.004 0.000 0.992
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2773 0.7535 0.116 0.880 0.000 0.004
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4364 0.7335 0.016 0.220 0.000 0.764
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.6473 0.6482 0.168 0.188 0.000 0.644
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.6320 0.6636 0.160 0.180 0.000 0.660
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 4 0.6686 0.3286 0.388 0.092 0.000 0.520
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.6323 0.6503 0.660 0.164 0.000 0.176
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5708 0.6891 0.716 0.124 0.000 0.160
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0336 0.7359 0.992 0.000 0.000 0.008
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.1474 0.7667 0.000 0.052 0.000 0.948
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.5968 0.6409 0.664 0.084 0.000 0.252
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4700 0.7146 0.792 0.084 0.000 0.124
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.1059 0.7393 0.972 0.016 0.000 0.012
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.7093 0.5285 0.272 0.172 0.000 0.556
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.3758 0.7350 0.048 0.104 0.000 0.848
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4401 0.7522 0.076 0.812 0.000 0.112
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4568 0.7194 0.800 0.076 0.000 0.124
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.4791 0.6794 0.080 0.136 0.000 0.784
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.1109 0.7365 0.968 0.028 0.000 0.004
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.6280 0.3566 0.316 0.080 0.000 0.604
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.2647 0.7055 0.880 0.120 0.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.3400 0.7413 0.000 0.180 0.000 0.820
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.4343 0.7386 0.004 0.264 0.000 0.732
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0469 0.7369 0.988 0.000 0.000 0.012
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 4 0.6859 0.5690 0.256 0.156 0.000 0.588
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.3801 0.7367 0.000 0.220 0.000 0.780
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.1474 0.8644 0.000 0.000 0.948 0.052
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.7665 0.2139 0.016 0.140 0.476 0.368
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0188 0.7345 0.996 0.000 0.000 0.004
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.6969 0.5854 0.224 0.192 0.000 0.584
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.6323 0.6622 0.164 0.176 0.000 0.660
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0817 0.7294 0.976 0.024 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.5248 0.6875 0.164 0.088 0.000 0.748
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0188 0.7339 0.996 0.004 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.6570 0.6281 0.632 0.164 0.000 0.204
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 4 0.6234 0.2791 0.068 0.348 0.000 0.584
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.1302 0.8690 0.000 0.000 0.956 0.044
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.7458 0.4165 0.044 0.124 0.608 0.224
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.3545 0.6820 0.828 0.164 0.000 0.008
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3219 0.7370 0.164 0.836 0.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.4834 0.6555 0.784 0.096 0.000 0.120
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.5410 0.7068 0.080 0.728 0.000 0.192
#> 814B2873-3E3E-419E-BA53-F65E322D9338 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.7383 0.4723 0.048 0.136 0.188 0.628
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.5140 0.7020 0.144 0.096 0.000 0.760
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 4 0.6188 0.6756 0.016 0.296 0.048 0.640
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.4685 0.6473 0.784 0.156 0.000 0.060
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 4 0.2198 0.7718 0.008 0.072 0.000 0.920
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.1576 0.7358 0.948 0.048 0.000 0.004
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.1716 0.7463 0.064 0.936 0.000 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.3649 0.7314 0.000 0.204 0.000 0.796
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.3404 0.7477 0.032 0.104 0.000 0.864
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.5003 0.7080 0.768 0.084 0.000 0.148
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 4 0.6400 0.6543 0.168 0.180 0.000 0.652
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.2450 0.7432 0.016 0.912 0.000 0.072
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.4284 0.6826 0.020 0.780 0.000 0.200
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.1474 0.7213 0.948 0.052 0.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0707 0.8901 0.020 0.000 0.980 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.6282 0.6518 0.664 0.160 0.000 0.176
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.6393 0.6467 0.652 0.160 0.000 0.188
#> 3C994968-8C59-4495-975F-D39C908559CE 4 0.7309 0.0333 0.324 0.172 0.000 0.504
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0188 0.7345 0.996 0.000 0.000 0.004
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.6216 0.6170 0.660 0.220 0.000 0.120
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 4 0.7450 0.2534 0.404 0.172 0.000 0.424
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.6374 0.5795 0.072 0.372 0.000 0.556
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.1867 0.7480 0.072 0.928 0.000 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.3764 0.7320 0.000 0.216 0.000 0.784
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.6847 0.4505 0.012 0.152 0.636 0.200
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#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.7073 0.4498 0.256 0.564 0.000 0.180
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 4 0.4283 0.7402 0.004 0.256 0.000 0.740
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 4 0.4656 0.7230 0.072 0.136 0.000 0.792
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.6580 0.6272 0.632 0.172 0.000 0.196
#> 577E5B95-C657-43E4-955A-4E5152901661 4 0.2542 0.7671 0.012 0.084 0.000 0.904
#> 445376A2-DB83-4BF9-923A-3057D7994097 4 0.6019 0.6680 0.176 0.136 0.000 0.688
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.2149 0.7219 0.912 0.088 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 2 0.4103 0.6559 0.256 0.744 0.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.6440 0.6344 0.644 0.148 0.000 0.208
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.2266 0.7522 0.084 0.912 0.000 0.004
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 4 0.1109 0.7827 0.004 0.028 0.000 0.968
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.2868 0.6442 0.864 0.136 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 4 0.5220 0.6880 0.016 0.352 0.000 0.632
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.1109 0.8793 0.028 0.004 0.968 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.4446 0.6791 0.028 0.776 0.000 0.196
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 4 0.0469 0.7804 0.000 0.012 0.000 0.988
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.6019 0.6566 0.672 0.100 0.000 0.228
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.6665 0.2523 0.544 0.096 0.000 0.360
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 4 0.2197 0.7708 0.004 0.080 0.000 0.916
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.5911 0.6543 0.044 0.372 0.000 0.584
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 4 0.1902 0.7771 0.004 0.064 0.000 0.932
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 4 0.3099 0.7529 0.020 0.104 0.000 0.876
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 4 0.0779 0.7831 0.004 0.016 0.000 0.980
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.6429 0.6569 0.160 0.192 0.000 0.648
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.5356 0.6198 0.000 0.072 0.728 0.200
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.3569 0.7331 0.000 0.196 0.000 0.804
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.3356 0.7341 0.176 0.824 0.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 4 0.2198 0.7673 0.008 0.072 0.000 0.920
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0188 0.7345 0.996 0.000 0.000 0.004
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.3925 0.7375 0.176 0.808 0.000 0.016
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.3239 0.7211 0.880 0.068 0.000 0.052
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.0188 0.7778 0.000 0.004 0.000 0.996
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.6563 0.6273 0.632 0.160 0.000 0.208
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.2813 0.7645 0.024 0.080 0.000 0.896
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.5689 0.6938 0.104 0.712 0.000 0.184
#> 229B786F-7955-409B-A85D-A33D5810F519 4 0.3198 0.7550 0.040 0.080 0.000 0.880
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.4635 0.7156 0.796 0.080 0.000 0.124
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.4304 0.6278 0.284 0.716 0.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.6382 0.5127 0.580 0.080 0.000 0.340
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.3048 0.7199 0.876 0.108 0.000 0.016
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.6231 0.6547 0.668 0.148 0.000 0.184
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.5977 0.5783 0.192 0.120 0.000 0.688
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.4418 0.6303 0.016 0.784 0.192 0.008
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4998 -0.1164 0.512 0.488 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0707 0.7322 0.980 0.020 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.6594 0.6192 0.624 0.148 0.000 0.228
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.1118 0.7238 0.964 0.036 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4175 0.6847 0.016 0.784 0.000 0.200
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.7211 0.5244 0.264 0.192 0.000 0.544
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.4149 0.7686 0.036 0.152 0.000 0.812
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.4300 0.6949 0.820 0.088 0.000 0.092
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0707 0.7392 0.020 0.980 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.5851 0.7188 0.084 0.236 0.000 0.680
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.1867 0.7269 0.928 0.072 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.7474 0.6168 0.608 0.188 0.036 0.168
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.4094 0.6746 0.056 0.828 0.000 0.116
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.7327 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.6245 0.4552 0.648 0.108 0.000 0.244
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.5902 0.5601 0.160 0.140 0.000 0.700
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 1 0.7165 0.4241 0.488 0.140 0.000 0.372
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.2706 0.7640 0.020 0.080 0.000 0.900
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.7369 0.6276 0.620 0.176 0.036 0.168
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.6439 0.6432 0.648 0.180 0.000 0.172
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.6439 0.6432 0.648 0.180 0.000 0.172
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.4348 0.6821 0.024 0.780 0.000 0.196
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4567 0.7327 0.008 0.276 0.000 0.716
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.6521 0.4944 0.076 0.412 0.000 0.512
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.6407 0.4534 0.204 0.148 0.000 0.648
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.6440 0.6344 0.644 0.148 0.000 0.208
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4348 0.6821 0.024 0.780 0.000 0.196
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0000 0.7779 0.000 0.000 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.0336 0.7781 0.000 0.008 0.000 0.992
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.7680 -0.0497 0.232 0.324 0.000 0.444
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1637 0.7451 0.060 0.940 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.6159 0.6613 0.676 0.152 0.000 0.172
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0188 0.9048 0.000 0.000 0.996 0.004
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.1004 0.7822 0.004 0.024 0.000 0.972
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3219 0.7370 0.164 0.836 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.3307 0.7702 0.028 0.104 0.000 0.868
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.7224 0.5500 0.548 0.236 0.000 0.216
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0188 0.7305 0.996 0.004 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.5496 0.6999 0.160 0.732 0.000 0.108
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1082 0.8865 0.020 0.004 0.972 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.5835 0.6981 0.064 0.280 0.000 0.656
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.5010 0.7289 0.024 0.276 0.000 0.700
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.6954 0.5499 0.568 0.280 0.000 0.152
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.1389 0.7797 0.000 0.048 0.000 0.952
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.3610 0.7307 0.000 0.200 0.000 0.800
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.0707 0.7762 0.000 0.020 0.000 0.980
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.4103 0.7389 0.000 0.256 0.000 0.744
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0592 0.7373 0.016 0.984 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.5371 0.6130 0.732 0.188 0.000 0.080
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9075 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4690 0.7342 0.016 0.260 0.000 0.724
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.6689 0.6178 0.620 0.184 0.000 0.196
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.6685 0.4209 0.568 0.108 0.000 0.324
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.6292 0.1846 0.524 0.416 0.000 0.060
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.1474 0.7818 0.000 0.052 0.000 0.948
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0592 0.7310 0.984 0.016 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.3837 0.7374 0.000 0.224 0.000 0.776
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.2530 0.7266 0.888 0.000 0.000 0.112
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.2924 0.7551 0.016 0.100 0.000 0.884
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.5632 0.6956 0.092 0.712 0.000 0.196
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.6642 0.38619 0.012 0.264 0.000 0.520 0.204
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 1 0.9332 -0.05213 0.296 0.220 0.048 0.236 0.200
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.6191 0.11518 0.436 0.136 0.000 0.000 0.428
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.6304 0.22417 0.468 0.076 0.000 0.028 0.428
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.6099 0.37925 0.324 0.008 0.552 0.000 0.116
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.5396 -0.45891 0.056 0.000 0.000 0.444 0.500
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.5733 0.27546 0.036 0.348 0.000 0.036 0.580
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.2992 0.31226 0.024 0.092 0.000 0.012 0.872
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6215 0.12695 0.448 0.140 0.000 0.000 0.412
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.5860 0.46312 0.304 0.008 0.588 0.000 0.100
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0162 0.65335 0.000 0.004 0.000 0.996 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.5681 0.29173 0.540 0.056 0.000 0.012 0.392
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.4602 0.29889 0.028 0.316 0.000 0.000 0.656
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4101 0.67173 0.004 0.000 0.000 0.664 0.332
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.6777 0.00737 0.276 0.352 0.000 0.000 0.372
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.5353 0.23342 0.036 0.384 0.000 0.012 0.568
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0162 0.65335 0.000 0.004 0.000 0.996 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0898 0.65229 0.000 0.020 0.000 0.972 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.5024 -0.01511 0.324 0.016 0.000 0.024 0.636
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.5289 0.33470 0.608 0.040 0.000 0.012 0.340
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3086 0.56612 0.004 0.816 0.000 0.000 0.180
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 5 0.5845 -0.09386 0.376 0.024 0.000 0.052 0.548
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#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.5494 0.33358 0.592 0.052 0.000 0.012 0.344
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 5 0.4448 -0.49961 0.004 0.000 0.000 0.480 0.516
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.3300 0.54532 0.004 0.792 0.000 0.000 0.204
#> 229B786F-7955-409B-A85D-A33D5810F519 5 0.5052 -0.42448 0.008 0.020 0.000 0.436 0.536
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.4006 0.28084 0.080 0.112 0.000 0.004 0.804
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.4276 0.18265 0.004 0.616 0.000 0.000 0.380
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.6089 0.13469 0.468 0.124 0.000 0.000 0.408
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.2911 0.30604 0.004 0.008 0.000 0.136 0.852
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.4477 0.30853 0.016 0.288 0.000 0.008 0.688
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.5494 0.29321 0.556 0.044 0.000 0.012 0.388
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0162 0.65335 0.000 0.004 0.000 0.996 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 5 0.5863 -0.03295 0.116 0.004 0.000 0.292 0.588
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.8184 0.22362 0.240 0.404 0.268 0.016 0.072
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.4929 0.44501 0.148 0.716 0.000 0.000 0.136
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 5 0.6761 -0.04062 0.352 0.268 0.000 0.000 0.380
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 1 0.5471 0.31030 0.576 0.040 0.000 0.016 0.368
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.4211 0.66132 0.004 0.000 0.000 0.636 0.360
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.6724 0.02672 0.252 0.356 0.000 0.000 0.392
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6156 0.36684 0.256 0.596 0.000 0.016 0.132
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.5207 0.31518 0.028 0.308 0.000 0.024 0.640
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.5856 -0.45847 0.008 0.072 0.000 0.456 0.464
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0609 0.91202 0.020 0.000 0.980 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.6089 0.13469 0.468 0.124 0.000 0.000 0.408
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.4260 0.31902 0.004 0.256 0.000 0.020 0.720
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.5127 0.52596 0.060 0.704 0.000 0.216 0.020
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.6186 0.12972 0.452 0.136 0.000 0.000 0.412
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.6692 -0.08312 0.012 0.164 0.000 0.376 0.448
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.6273 0.13291 0.172 0.316 0.000 0.000 0.512
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.6213 0.12924 0.452 0.140 0.000 0.000 0.408
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.6500 0.28155 0.600 0.152 0.028 0.004 0.216
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.6436 0.42296 0.024 0.560 0.000 0.288 0.128
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.6186 0.12972 0.452 0.136 0.000 0.000 0.412
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.3949 0.31817 0.000 0.300 0.000 0.004 0.696
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 1 0.5628 0.18496 0.492 0.020 0.000 0.036 0.452
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 5 0.5830 -0.17735 0.428 0.036 0.000 0.032 0.504
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.4528 -0.44273 0.008 0.000 0.000 0.444 0.548
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.6247 0.33661 0.612 0.104 0.028 0.004 0.252
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.5676 0.31951 0.632 0.124 0.000 0.004 0.240
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.5621 0.33213 0.632 0.112 0.000 0.004 0.252
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5481 0.45523 0.144 0.668 0.000 0.004 0.184
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0693 0.65033 0.000 0.008 0.000 0.980 0.012
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0451 0.65307 0.000 0.004 0.000 0.988 0.008
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.7054 0.29222 0.020 0.460 0.000 0.272 0.248
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 5 0.6783 -0.30712 0.072 0.072 0.000 0.352 0.504
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.5158 0.34623 0.632 0.044 0.000 0.008 0.316
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.6070 0.41809 0.168 0.624 0.000 0.016 0.192
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5030 0.64974 0.036 0.004 0.000 0.612 0.348
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.5546 0.59618 0.016 0.040 0.000 0.544 0.400
#> 39691679-6FEB-4767-8718-81CDB63E625F 5 0.7202 -0.17541 0.408 0.112 0.000 0.068 0.412
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3462 0.55414 0.000 0.792 0.000 0.196 0.012
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.5403 -0.03132 0.312 0.048 0.000 0.016 0.624
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.6089 0.13469 0.468 0.124 0.000 0.000 0.408
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.4689 0.63527 0.008 0.008 0.000 0.592 0.392
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0162 0.65335 0.000 0.004 0.000 0.996 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0404 0.59381 0.000 0.988 0.000 0.000 0.012
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.4907 -0.48296 0.008 0.012 0.000 0.468 0.512
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0162 0.65335 0.000 0.004 0.000 0.996 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.6944 -0.16977 0.368 0.156 0.000 0.028 0.448
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.6121 0.13224 0.464 0.128 0.000 0.000 0.408
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2505 0.59000 0.020 0.888 0.000 0.000 0.092
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.5493 0.53125 0.320 0.012 0.616 0.004 0.048
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.3410 0.57837 0.000 0.092 0.000 0.840 0.068
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4157 0.64390 0.000 0.020 0.000 0.716 0.264
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.6931 0.10039 0.332 0.372 0.000 0.004 0.292
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4278 0.58266 0.000 0.000 0.000 0.548 0.452
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0671 0.66202 0.000 0.004 0.000 0.980 0.016
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.5569 0.61926 0.092 0.000 0.000 0.588 0.320
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3266 0.67963 0.000 0.004 0.000 0.796 0.200
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5246 0.52357 0.068 0.696 0.000 0.216 0.020
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.4249 0.31600 0.000 0.296 0.000 0.016 0.688
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.92418 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.5126 0.62862 0.012 0.084 0.000 0.708 0.196
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.5854 0.34676 0.596 0.092 0.000 0.012 0.300
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.4761 0.34453 0.000 0.144 0.000 0.124 0.732
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.5033 0.11413 0.024 0.524 0.000 0.004 0.448
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.4541 0.64778 0.004 0.008 0.000 0.608 0.380
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.6757 -0.01450 0.320 0.280 0.000 0.000 0.400
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0451 0.65307 0.000 0.004 0.000 0.988 0.008
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.5529 -0.06977 0.420 0.068 0.000 0.000 0.512
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 5 0.7840 -0.22658 0.272 0.064 0.000 0.320 0.344
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4809 0.50417 0.048 0.704 0.000 0.008 0.240
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4647 0.36744 0.000 0.200 0.000 0.712 0.060 0.028
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.7437 -0.19576 0.004 0.140 0.136 0.416 0.008 0.296
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5632 0.73032 0.528 0.132 0.000 0.000 0.332 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 6 0.4735 0.49449 0.000 0.036 0.000 0.072 0.172 0.720
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.4158 0.38907 0.008 0.000 0.572 0.004 0.000 0.416
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.5764 -0.26734 0.000 0.000 0.000 0.404 0.172 0.424
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.6728 0.33002 0.032 0.280 0.000 0.196 0.476 0.016
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.4899 0.42681 0.008 0.088 0.000 0.024 0.716 0.164
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5158 0.79115 0.632 0.144 0.000 0.000 0.220 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4067 0.35412 0.008 0.000 0.548 0.000 0.000 0.444
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.4864 0.38955 0.016 0.036 0.000 0.000 0.372 0.576
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.7272 0.41287 0.076 0.252 0.000 0.096 0.504 0.072
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.6127 0.60549 0.128 0.000 0.000 0.600 0.180 0.092
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.6180 0.52268 0.408 0.284 0.000 0.000 0.304 0.004
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.6980 0.27941 0.044 0.252 0.000 0.236 0.452 0.016
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3340 0.62884 0.196 0.016 0.000 0.784 0.000 0.004
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.4611 0.03183 0.020 0.016 0.000 0.000 0.584 0.380
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.4573 0.44147 0.016 0.032 0.000 0.000 0.304 0.648
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2510 0.58726 0.000 0.872 0.000 0.000 0.100 0.028
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.3277 0.40820 0.000 0.016 0.000 0.004 0.188 0.792
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.6131 0.51021 0.184 0.000 0.000 0.564 0.044 0.208
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.4170 0.20130 0.000 0.000 0.000 0.308 0.032 0.660
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.3449 0.61802 0.008 0.000 0.000 0.780 0.196 0.016
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.3087 0.73917 0.012 0.000 0.808 0.004 0.000 0.176
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.5684 0.71842 0.516 0.156 0.000 0.000 0.324 0.004
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3043 0.62792 0.196 0.004 0.000 0.796 0.000 0.004
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.3721 0.38830 0.000 0.016 0.000 0.012 0.220 0.752
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.5973 0.62938 0.440 0.172 0.000 0.000 0.380 0.008
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.4835 0.00756 0.008 0.032 0.000 0.012 0.616 0.332
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.6123 -0.23919 0.000 0.000 0.000 0.308 0.352 0.340
#> AA273C14-F561-46DA-A645-429A1112FC50 6 0.6114 0.42891 0.024 0.032 0.136 0.000 0.200 0.608
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.4421 0.58224 0.000 0.008 0.000 0.712 0.212 0.068
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.3916 0.60694 0.004 0.000 0.000 0.752 0.196 0.048
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3057 0.57288 0.016 0.864 0.000 0.080 0.028 0.012
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.1138 0.62617 0.000 0.004 0.000 0.960 0.024 0.012
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0146 0.90687 0.000 0.000 0.996 0.000 0.000 0.004
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.5480 0.61240 0.192 0.000 0.000 0.612 0.184 0.012
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.6111 0.27139 0.004 0.280 0.000 0.560 0.100 0.056
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.5309 0.42289 0.000 0.220 0.000 0.652 0.092 0.036
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.6712 0.37761 0.024 0.236 0.000 0.196 0.512 0.032
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 6 0.4531 0.45558 0.040 0.032 0.000 0.000 0.216 0.712
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.4797 0.01078 0.020 0.036 0.000 0.000 0.620 0.324
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.5182 0.79019 0.624 0.136 0.000 0.000 0.236 0.004
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.5196 0.39064 0.004 0.000 0.000 0.520 0.080 0.396
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.5128 0.16852 0.000 0.028 0.000 0.044 0.584 0.344
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.5202 0.23431 0.068 0.120 0.000 0.000 0.700 0.112
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.6362 -0.39565 0.328 0.156 0.000 0.004 0.480 0.032
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.6821 0.41960 0.016 0.264 0.000 0.032 0.460 0.228
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.5529 0.24380 0.000 0.004 0.000 0.152 0.284 0.560
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.5874 0.46497 0.000 0.600 0.000 0.176 0.184 0.040
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#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4803 0.73852 0.616 0.064 0.000 0.000 0.316 0.004
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 6 0.3977 0.47397 0.016 0.032 0.000 0.000 0.200 0.752
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.5622 0.51155 0.004 0.000 0.000 0.556 0.180 0.260
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.5907 0.53229 0.452 0.160 0.000 0.000 0.380 0.008
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5036 0.27625 0.000 0.544 0.028 0.016 0.008 0.404
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 5 0.7101 0.35340 0.044 0.212 0.000 0.224 0.484 0.036
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 6 0.7160 -0.05730 0.004 0.064 0.000 0.268 0.324 0.340
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.2178 0.81452 0.000 0.000 0.868 0.000 0.000 0.132
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.3261 0.76996 0.780 0.016 0.000 0.000 0.204 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.6758 0.43991 0.028 0.160 0.000 0.032 0.492 0.288
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.4945 0.52382 0.000 0.620 0.000 0.292 0.004 0.084
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.5182 0.79021 0.628 0.144 0.000 0.000 0.224 0.004
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.7152 0.26028 0.020 0.052 0.000 0.188 0.384 0.356
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.5852 -0.20338 0.228 0.212 0.000 0.000 0.548 0.012
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.4871 0.79434 0.656 0.132 0.000 0.000 0.212 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 6 0.6209 0.42530 0.024 0.044 0.120 0.000 0.208 0.604
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.5090 -0.00549 0.000 0.332 0.000 0.596 0.028 0.044
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.5137 0.79260 0.632 0.136 0.000 0.000 0.228 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.6839 0.44338 0.028 0.224 0.000 0.100 0.548 0.100
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.2679 0.48292 0.004 0.004 0.092 0.020 0.004 0.876
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.4586 0.44282 0.000 0.036 0.000 0.012 0.312 0.640
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.6080 -0.06406 0.000 0.000 0.000 0.288 0.316 0.396
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 6 0.5986 0.43383 0.024 0.032 0.116 0.000 0.208 0.620
#> F18497E5-C192-4A7A-9C22-263681E797DF 6 0.4637 0.45051 0.040 0.040 0.000 0.000 0.212 0.708
#> D6517B16-37E4-4342-9639-7C8C652A01A2 6 0.4438 0.45884 0.036 0.032 0.000 0.000 0.212 0.720
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5129 0.48486 0.000 0.664 0.000 0.028 0.088 0.220
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.3644 0.62556 0.196 0.004 0.000 0.772 0.024 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.5474 -0.16195 0.004 0.372 0.000 0.532 0.080 0.012
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 4 0.7205 -0.04379 0.000 0.096 0.000 0.388 0.248 0.268
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 6 0.4339 0.45599 0.016 0.032 0.000 0.000 0.256 0.696
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.6088 0.43502 0.000 0.600 0.000 0.076 0.148 0.176
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.5398 0.48141 0.000 0.000 0.000 0.544 0.136 0.320
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 4 0.4679 0.57532 0.000 0.016 0.000 0.700 0.208 0.076
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.6421 0.33371 0.000 0.080 0.000 0.308 0.108 0.504
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.2871 0.57925 0.004 0.804 0.000 0.192 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.5128 -0.20794 0.024 0.036 0.000 0.000 0.476 0.464
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.3231 0.76800 0.784 0.016 0.000 0.000 0.200 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.4132 0.59442 0.000 0.008 0.000 0.728 0.220 0.044
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0790 0.59472 0.032 0.968 0.000 0.000 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.6398 -0.17040 0.000 0.012 0.000 0.332 0.292 0.364
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.6142 0.38454 0.004 0.124 0.000 0.036 0.308 0.528
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3261 0.76996 0.780 0.016 0.000 0.000 0.204 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2100 0.59470 0.016 0.916 0.000 0.000 0.036 0.032
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.3695 0.49152 0.000 0.000 0.624 0.000 0.000 0.376
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.4701 0.60492 0.196 0.028 0.000 0.716 0.056 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4160 0.54866 0.004 0.008 0.000 0.696 0.020 0.272
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 6 0.6180 0.16915 0.004 0.284 0.000 0.000 0.304 0.408
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4468 0.57890 0.000 0.008 0.000 0.712 0.204 0.076
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.2871 0.62995 0.192 0.004 0.000 0.804 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.4774 0.56661 0.000 0.000 0.000 0.672 0.136 0.192
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.2313 0.62936 0.000 0.004 0.000 0.884 0.012 0.100
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5090 0.51098 0.000 0.604 0.000 0.296 0.004 0.096
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.7158 0.39991 0.032 0.208 0.000 0.220 0.484 0.056
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.90940 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.2992 0.58205 0.000 0.072 0.000 0.864 0.032 0.032
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.4168 0.46934 0.024 0.032 0.000 0.000 0.204 0.740
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.6383 0.37779 0.008 0.132 0.000 0.036 0.484 0.340
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.6405 -0.11071 0.008 0.436 0.000 0.156 0.376 0.024
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.5057 0.57667 0.000 0.004 0.000 0.652 0.180 0.164
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.5479 0.67327 0.536 0.124 0.000 0.000 0.336 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.3011 0.62828 0.192 0.004 0.000 0.800 0.000 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5698 0.71799 0.536 0.092 0.000 0.000 0.344 0.028
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.5208 0.10476 0.000 0.036 0.000 0.528 0.032 0.404
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4830 0.51367 0.000 0.680 0.000 0.004 0.176 0.140
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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.673 0.843 0.933 0.4887 0.501 0.501
#> 3 3 0.543 0.740 0.861 0.3471 0.667 0.431
#> 4 4 0.602 0.634 0.811 0.1267 0.846 0.587
#> 5 5 0.699 0.713 0.845 0.0688 0.831 0.462
#> 6 6 0.734 0.708 0.828 0.0423 0.867 0.475
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.9710 0.389 0.600 0.400
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.932 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.916 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.932 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.932 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.932 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.932 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.916 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.916 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.916 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.932 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.932 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.932 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.916 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.916 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.9635 0.358 0.388 0.612
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.916 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.916 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.9732 0.311 0.404 0.596
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.9775 0.286 0.412 0.588
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.916 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.932 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.1184 0.907 0.984 0.016
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.932 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.916 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.932 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.932 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.932 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.932 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.9732 0.378 0.596 0.404
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.932 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.916 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.932 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.0938 0.923 0.012 0.988
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.916 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.916 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.2948 0.884 0.948 0.052
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.932 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.1184 0.920 0.016 0.984
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.9754 0.367 0.592 0.408
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.6712 0.776 0.824 0.176
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4690 0.847 0.100 0.900
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cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.1411 0.7696 0.000 0.964 0.036
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.9348 0.000 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.8477 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0000 0.9348 0.000 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.9348 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.0424 0.9287 0.000 0.008 0.992
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9348 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.3816 0.7197 0.148 0.852 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3038 0.8411 0.896 0.104 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0424 0.8488 0.992 0.008 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9348 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9348 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.5529 0.6562 0.000 0.704 0.296
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0237 0.8463 0.996 0.000 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.3412 0.8328 0.876 0.124 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.7102 0.7327 0.144 0.724 0.132
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3752 0.7708 0.856 0.144 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.1163 0.7609 0.028 0.972 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.6252 0.7471 0.144 0.772 0.084
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.4636 0.7609 0.104 0.852 0.044
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.1411 0.8296 0.964 0.000 0.036
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9348 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.3879 0.7311 0.848 0.000 0.152
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9348 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.6309 0.2651 0.504 0.496 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.4750 0.7029 0.216 0.000 0.784
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.1643 0.8947 0.000 0.044 0.956
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0000 0.9348 0.000 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9348 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.1411 0.7696 0.000 0.964 0.036
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9348 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1643 0.8505 0.956 0.044 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5905 0.5842 0.000 0.648 0.352
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.5291 0.6186 0.268 0.000 0.732
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.3192 0.8386 0.888 0.112 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.8477 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.5754 0.5694 0.296 0.700 0.004
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.2625 0.8621 0.084 0.000 0.916
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4002 0.7397 0.000 0.840 0.160
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4423 0.7680 0.088 0.864 0.048
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0237 0.7598 0.004 0.996 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.2878 0.7661 0.000 0.904 0.096
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9348 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.6935 0.7234 0.176 0.728 0.096
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.1529 0.7598 0.040 0.960 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0892 0.7614 0.020 0.980 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.3482 0.7280 0.128 0.872 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.5810 0.4321 0.664 0.000 0.336
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.8477 1.000 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.8477 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.0237 0.9318 0.000 0.004 0.996
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9348 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.2796 0.8444 0.908 0.092 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.1411 0.8502 0.964 0.036 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.2959 0.8428 0.900 0.100 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.5785 0.5489 0.668 0.332 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 3 0.5070 0.6677 0.224 0.004 0.772
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0983 0.7656 0.004 0.980 0.016
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.2959 0.7663 0.000 0.900 0.100
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.8477 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.8477 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.4235 0.7533 0.000 0.176 0.824
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.3038 0.8417 0.896 0.104 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.3686 0.8232 0.860 0.140 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.3619 0.8278 0.864 0.136 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.3116 0.7638 0.000 0.892 0.108
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9348 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.4861 0.6960 0.192 0.800 0.008
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.8477 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 2 0.2448 0.7520 0.076 0.924 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.2878 0.7661 0.000 0.904 0.096
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.9348 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.5098 0.6964 0.000 0.752 0.248
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.9348 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.8477 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.5591 0.6449 0.000 0.696 0.304
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 2 0.4121 0.7065 0.168 0.832 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9348 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5016 0.7085 0.000 0.760 0.240
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.4887 0.6540 0.228 0.772 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.2625 0.8481 0.916 0.084 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.6235 0.2329 0.436 0.564 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0237 0.8484 0.996 0.004 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.5138 0.5982 0.748 0.000 0.252
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.2625 0.7685 0.000 0.916 0.084
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.5706 0.5130 0.000 0.320 0.680
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.9348 0.000 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.9348 0.000 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.6045 0.5378 0.000 0.620 0.380
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.6111 0.4835 0.604 0.396 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.6111 0.0675 0.396 0.604 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.3116 0.8402 0.892 0.108 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.4413 0.7421 0.036 0.860 0.104
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.5497 0.6597 0.000 0.708 0.292
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.9348 0.000 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.5098 0.6282 0.248 0.752 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.9348 0.000 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9348 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.4504 0.7798 0.804 0.196 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.0000 0.9348 0.000 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.2878 0.8439 0.904 0.096 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.9348 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.6867 0.3272 0.336 0.636 0.028
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.6295 0.3387 0.000 0.528 0.472
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.0000 0.9348 0.000 0.000 1.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.9348 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.8477 1.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.9348 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.2878 0.7457 0.096 0.904 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.1163 0.7686 0.000 0.972 0.028
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.4750 0.7044 0.000 0.216 0.784
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.6081 0.4913 0.004 0.652 0.344
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.4235 0.8060 0.824 0.176 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.9348 0.000 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.9348 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.4654 0.6682 0.792 0.000 0.208
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.0000 0.8477 1.000 0.000 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.5406 0.7058 0.020 0.200 0.780
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.6008 0.5529 0.000 0.628 0.372
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.2537 0.8467 0.920 0.080 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.5465 0.6768 0.712 0.288 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 2 0.4452 0.6892 0.192 0.808 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.0592 0.7647 0.000 0.988 0.012
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.4931 0.6884 0.004 0.784 0.212
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 3 0.4235 0.7065 0.000 0.176 0.824
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5785 0.6118 0.000 0.668 0.332
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.9348 0.000 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.9348 0.000 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.0237 0.7598 0.004 0.996 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.3879 0.7174 0.152 0.848 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.5560 0.6838 0.700 0.300 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 3 0.6286 0.1603 0.464 0.000 0.536
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.4887 0.7001 0.772 0.228 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 3 0.0237 0.9318 0.000 0.004 0.996
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 3 0.5595 0.6542 0.228 0.016 0.756
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.6495 0.1903 0.004 0.536 0.460
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.8477 1.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.5397 0.4236 0.280 0.720 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0000 0.9348 0.000 0.000 1.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.5722 0.5863 0.004 0.704 0.292
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.9348 0.000 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.6625 0.7236 0.176 0.744 0.080
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.4504 0.7868 0.804 0.196 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 2 0.4291 0.6972 0.180 0.820 0.000
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.3267 0.7371 0.116 0.884 0.000
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 1 0.8939 0.2325 0.440 0.436 0.124
#> 712BB262-B4D5-4533-90F7-E3DA82ACFCB7 3 0.0000 0.9348 0.000 0.000 1.000
#> DCE7D1BE-F8A1-4DBA-8DA6-7A8148DFBFCE 1 0.3267 0.8369 0.884 0.116 0.000
#> 42BCF046-6B24-49A7-8BAD-7CDBD81DDA3E 2 0.9262 0.5087 0.176 0.500 0.324
#> FB666689-F12A-438F-9458-63A96B6088B1 2 0.0424 0.7634 0.000 0.992 0.008
#> 4C01B28C-7EDC-4D3E-B840-5DED4D542AB4 2 0.4978 0.6705 0.216 0.780 0.004
#> 8C9ED6A9-FB69-452F-8E6B-10B980A5E91E 2 0.0000 0.7602 0.000 1.000 0.000
#> CFA12414-F5AC-4D50-8029-8CBC1F4FE7FE 1 0.1525 0.8501 0.964 0.032 0.004
#> FDE4ED41-6A69-423C-8260-021CE0378AF4 3 0.0000 0.9348 0.000 0.000 1.000
#> DC274A56-C469-4008-ABE9-9D55CF455388 2 0.0237 0.7598 0.004 0.996 0.000
#> 321A3603-B668-4E2C-B605-2AC9F447326F 1 0.1643 0.8500 0.956 0.044 0.000
#> 9DB3FD40-1BA7-4E97-8860-D6F5A516E5D8 3 0.0000 0.9348 0.000 0.000 1.000
#> 63B5AC5A-413E-426D-BAA6-47405412EAC0 1 0.0000 0.8477 1.000 0.000 0.000
#> 6A244E15-D280-4DF9-B8BF-8E2638BB63D3 3 0.0000 0.9348 0.000 0.000 1.000
#> 680DCC8A-71A0-4935-BB28-01BBBF7A4B06 3 0.0000 0.9348 0.000 0.000 1.000
#> 8335DF3D-6EE3-4FBA-A771-477D5332423D 2 0.4605 0.6793 0.204 0.796 0.000
#> F4738108-D26C-41F7-8514-CB525ADA1A75 2 0.3116 0.6957 0.108 0.892 0.000
#> 8666A3E0-7356-45A7-A742-713C113E4A56 1 0.1163 0.8496 0.972 0.028 0.000
#> 03AC4F21-01A6-494F-922F-8385CCAC71C7 1 0.5785 0.6451 0.668 0.332 0.000
#> 6666B24A-CD93-47F7-8B26-C5C85D9C8489 1 0.3412 0.8325 0.876 0.124 0.000
#> 7CC9F1B6-51AE-48E6-987B-432A756ACAF4 2 0.5785 0.6131 0.000 0.668 0.332
#> 39F85F32-5D4D-4DF8-AE5E-A6E9F9F5F779 2 0.0000 0.7602 0.000 1.000 0.000
#> 4F579CA2-FABF-4868-AF6B-B8C5D2B9C092 1 0.3116 0.8402 0.892 0.108 0.000
#> 462FFBAF-435E-4064-BF90-35E08705CE6B 3 0.0000 0.9348 0.000 0.000 1.000
#> F8627FF5-E937-4F76-8C1A-8D75C0D62D19 2 0.3412 0.7658 0.000 0.876 0.124
#> 9E514933-EA60-4958-85A3-F6CA82055196 1 0.6180 0.3230 0.584 0.416 0.000
#> 7794C8A0-3E30-4D9A-B0AE-55EFCAAB8047 1 0.0424 0.8490 0.992 0.008 0.000
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#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9348 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.8477 1.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.8477 1.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0237 0.9320 0.004 0.000 0.996
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.6225 0.4351 0.000 0.568 0.432
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.1529 0.8504 0.960 0.040 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.4733 0.7223 0.004 0.196 0.800
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.4346 0.6939 0.184 0.816 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.6309 0.0683 0.504 0.496 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.9348 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.8477 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2959 0.8428 0.900 0.100 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9348 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.3412 0.7587 0.000 0.876 0.124
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0237 0.8471 0.996 0.004 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5497 0.6371 0.708 0.292 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.3038 0.8411 0.896 0.104 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.8477 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.2878 0.8495 0.096 0.000 0.904
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9348 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.2796 0.7669 0.000 0.908 0.092
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.8477 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.4235 0.7925 0.824 0.176 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0000 0.9348 0.000 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.0000 0.9348 0.000 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.9862 -0.0919 0.412 0.316 0.272
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3116 0.8381 0.108 0.000 0.892
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.4605 0.6722 0.796 0.000 0.204
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.5988 0.3561 0.632 0.000 0.368
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.6373 0.3231 0.004 0.588 0.408
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.4409 0.7067 0.172 0.824 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5384 0.7085 0.188 0.788 0.024
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.7602 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4172 0.7414 0.004 0.840 0.156
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.6267 0.1104 0.548 0.000 0.452
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.6460 0.2478 0.004 0.556 0.440
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.6140 0.4940 0.000 0.596 0.404
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9348 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.3752 0.7490 0.000 0.856 0.144
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.0424 0.9292 0.000 0.008 0.992
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0237 0.7598 0.004 0.996 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9348 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9348 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.8477 1.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8477 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9348 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9348 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1289 0.7691 0.000 0.968 0.032
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.6490 0.7303 0.172 0.752 0.076
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4235 0.6156 0.176 0.824 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.7824 0.0183 0.504 0.444 0.052
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5431 0.6692 0.000 0.716 0.284
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.5873 0.4966 0.684 0.004 0.312
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0237 0.8483 0.996 0.004 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.5327 0.6528 0.728 0.272 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.9348 0.000 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.4235 0.7006 0.176 0.824 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.7411 0.6325 0.256 0.668 0.076
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.4504 0.7056 0.804 0.196 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.1529 0.7700 0.000 0.960 0.040
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.7108 0.7186 0.184 0.716 0.100
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.5835 0.3099 0.000 0.340 0.660
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5598 0.7411 0.148 0.800 0.052
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.3686 0.7502 0.000 0.860 0.140
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.5291 0.4638 0.268 0.732 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9348 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.2625 0.7683 0.000 0.916 0.084
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0592 0.9260 0.012 0.000 0.988
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.3816 0.8186 0.852 0.148 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.6309 -0.3106 0.500 0.500 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.5497 0.6609 0.000 0.708 0.292
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.8477 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.5167 0.7012 0.192 0.792 0.016
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.8477 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5497 0.5706 0.000 0.292 0.708
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.8361 0.4525 0.216 0.624 0.160
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.5345 -0.0571 0.000 0.428 0.012 0.560
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4643 0.4227 0.000 0.000 0.656 0.344
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0376 0.7846 0.992 0.004 0.000 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.0921 0.8779 0.000 0.028 0.972 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0188 0.8977 0.000 0.004 0.996 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.5696 -0.1718 0.000 0.024 0.496 0.480
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0188 0.8977 0.000 0.004 0.996 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.4936 0.5328 0.004 0.372 0.000 0.624
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3464 0.7655 0.860 0.032 0.000 0.108
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0779 0.7864 0.980 0.004 0.000 0.016
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.2089 0.6888 0.000 0.020 0.048 0.932
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0000 0.7822 1.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.5724 0.6965 0.716 0.140 0.000 0.144
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.5632 0.5622 0.000 0.340 0.036 0.624
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.3024 0.6906 0.852 0.148 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.4996 0.0347 0.000 0.516 0.000 0.484
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0657 0.6881 0.000 0.012 0.004 0.984
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0469 0.6870 0.000 0.012 0.000 0.988
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2759 0.7767 0.904 0.000 0.044 0.052
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0707 0.7780 0.980 0.000 0.020 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0188 0.8977 0.000 0.004 0.996 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4511 0.5651 0.268 0.724 0.000 0.008
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.3032 0.7846 0.124 0.008 0.868 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.5696 -0.1729 0.000 0.024 0.496 0.480
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.2222 0.8410 0.000 0.016 0.924 0.060
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.5398 0.5273 0.000 0.404 0.016 0.580
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3176 0.7735 0.880 0.036 0.000 0.084
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.2198 0.6845 0.000 0.008 0.072 0.920
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.4897 0.4762 0.332 0.008 0.660 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.6013 0.6697 0.684 0.196 0.000 0.120
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0657 0.7861 0.984 0.004 0.000 0.012
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.5244 0.5311 0.008 0.372 0.004 0.616
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.2589 0.8006 0.116 0.000 0.884 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.6324 0.2380 0.000 0.536 0.400 0.064
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.5371 0.5458 0.000 0.364 0.020 0.616
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3400 0.6375 0.000 0.820 0.000 0.180
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.3966 0.6358 0.000 0.088 0.072 0.840
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.1913 0.6949 0.000 0.040 0.020 0.940
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.4978 0.5224 0.004 0.384 0.000 0.612
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4843 0.5238 0.000 0.396 0.000 0.604
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 4 0.5088 0.4756 0.004 0.424 0.000 0.572
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1474 0.7600 0.948 0.000 0.052 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.2888 0.7081 0.872 0.004 0.124 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.2363 0.7836 0.920 0.024 0.000 0.056
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.5781 0.1919 0.000 0.028 0.484 0.488
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.6326 0.6342 0.636 0.256 0.000 0.108
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0469 0.7816 0.988 0.012 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.6703 0.6094 0.612 0.232 0.000 0.156
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.6792 0.4302 0.112 0.340 0.000 0.548
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.8188 0.2381 0.152 0.036 0.372 0.440
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.6625 0.000 1.000 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.2385 0.6862 0.000 0.028 0.052 0.920
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.7822 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.7822 1.000 0.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.3266 0.7400 0.000 0.168 0.832 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.3658 0.7541 0.836 0.020 0.000 0.144
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.7325 0.4387 0.472 0.368 0.000 0.160
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5119 0.4523 0.556 0.440 0.000 0.004
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.4599 0.6097 0.000 0.112 0.088 0.800
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.6878 0.000 0.000 0.000 1.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1182 0.7874 0.968 0.016 0.000 0.016
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 4 0.5444 0.4743 0.016 0.424 0.000 0.560
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.2466 0.6851 0.000 0.028 0.056 0.916
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.7732 0.4544 0.000 0.288 0.268 0.444
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0376 0.8961 0.000 0.004 0.992 0.004
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.1978 0.7820 0.928 0.004 0.000 0.068
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.6615 0.3647 0.000 0.084 0.404 0.512
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.0707 0.6852 0.000 0.020 0.000 0.980
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.1929 0.6881 0.000 0.024 0.036 0.940
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.5093 0.5472 0.012 0.348 0.000 0.640
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.2216 0.7599 0.908 0.092 0.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.5174 0.5273 0.012 0.368 0.000 0.620
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0376 0.7846 0.992 0.004 0.000 0.004
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.4103 0.5315 0.744 0.000 0.256 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.3229 0.6678 0.000 0.048 0.072 0.880
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.4866 0.2626 0.000 0.404 0.596 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.8988 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0188 0.8977 0.000 0.004 0.996 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.3088 0.6583 0.000 0.008 0.128 0.864
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.4589 0.4875 0.168 0.784 0.000 0.048
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#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3621 0.6950 0.000 0.068 0.072 0.860
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0188 0.7824 0.996 0.004 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.6878 0.000 0.000 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.7822 1.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.3806 0.7343 0.000 0.156 0.824 0.020
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3498 0.6469 0.008 0.832 0.160 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.1043 0.8856 0.000 0.040 0.000 0.960 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.1732 0.8545 0.000 0.000 0.080 0.920 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.1493 0.8370 0.948 0.024 0.000 0.000 0.028
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.4404 0.5690 0.036 0.252 0.712 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0162 0.8654 0.000 0.000 0.996 0.000 0.004
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 3 0.5641 0.6391 0.000 0.128 0.672 0.016 0.184
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3102 0.7254 0.000 0.056 0.000 0.084 0.860
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.6040 0.4498 0.556 0.152 0.000 0.000 0.292
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1041 0.8384 0.964 0.004 0.000 0.000 0.032
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1310 0.8293 0.956 0.024 0.020 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.3878 0.5747 0.236 0.000 0.000 0.016 0.748
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 5 0.3870 0.7237 0.000 0.132 0.028 0.024 0.816
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.4696 0.1208 0.556 0.428 0.000 0.000 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.6342 0.4066 0.000 0.520 0.000 0.208 0.272
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.5398 0.6347 0.684 0.000 0.124 0.008 0.184
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0566 0.8353 0.984 0.000 0.012 0.000 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2424 0.7299 0.132 0.868 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.5378 0.7120 0.128 0.128 0.716 0.000 0.028
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.5875 0.6602 0.000 0.128 0.680 0.044 0.148
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.4411 0.7416 0.000 0.128 0.772 0.004 0.096
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.3834 0.7214 0.000 0.140 0.036 0.012 0.812
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0566 0.8593 0.012 0.000 0.984 0.004 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 5 0.4448 0.0629 0.480 0.000 0.000 0.004 0.516
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.6449 0.2446 0.388 0.128 0.472 0.000 0.012
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.3648 0.6304 0.188 0.004 0.000 0.016 0.792
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0898 0.8387 0.972 0.008 0.000 0.000 0.020
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.0671 0.7676 0.004 0.000 0.000 0.016 0.980
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.2424 0.7788 0.132 0.000 0.868 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 3 0.5764 0.5501 0.000 0.152 0.612 0.000 0.236
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 5 0.3078 0.7354 0.000 0.132 0.016 0.004 0.848
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2036 0.7733 0.000 0.920 0.000 0.056 0.024
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.0324 0.9033 0.000 0.004 0.004 0.992 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.6567 0.1233 0.000 0.128 0.020 0.496 0.356
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.1485 0.7627 0.000 0.032 0.000 0.020 0.948
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.1997 0.7566 0.000 0.036 0.000 0.040 0.924
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.0992 0.7655 0.000 0.024 0.000 0.008 0.968
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1410 0.8149 0.940 0.000 0.060 0.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.4871 0.6804 0.760 0.128 0.080 0.000 0.032
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4219 0.2838 0.584 0.000 0.000 0.000 0.416
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.5606 0.6837 0.000 0.092 0.704 0.048 0.156
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.5590 0.6050 0.156 0.204 0.000 0.000 0.640
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.2233 0.7987 0.892 0.104 0.000 0.000 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.1830 0.7513 0.068 0.000 0.000 0.008 0.924
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.2072 0.7585 0.016 0.020 0.000 0.036 0.928
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.6289 0.3715 0.004 0.128 0.304 0.008 0.556
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4009 0.6167 0.000 0.684 0.004 0.000 0.312
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0451 0.8368 0.988 0.004 0.000 0.000 0.008
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0404 0.8374 0.988 0.000 0.000 0.000 0.012
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 3 0.1915 0.8398 0.000 0.040 0.928 0.000 0.032
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.5989 0.1151 0.480 0.076 0.000 0.012 0.432
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.2583 0.7445 0.004 0.132 0.000 0.000 0.864
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.6285 0.1908 0.120 0.340 0.000 0.012 0.528
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.3459 0.7730 0.000 0.136 0.016 0.832 0.016
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.4294 0.1145 0.532 0.000 0.000 0.000 0.468
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.3106 0.7150 0.000 0.132 0.000 0.024 0.844
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 3 0.5870 0.4795 0.000 0.136 0.580 0.000 0.284
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0162 0.8654 0.000 0.000 0.996 0.000 0.004
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.3861 0.5644 0.712 0.000 0.000 0.004 0.284
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 3 0.7064 0.4878 0.000 0.136 0.556 0.080 0.228
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.1041 0.8883 0.000 0.032 0.000 0.964 0.004
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.1282 0.7635 0.000 0.004 0.000 0.044 0.952
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.4627 0.1338 0.444 0.544 0.000 0.000 0.012
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 5 0.0451 0.7669 0.000 0.004 0.000 0.008 0.988
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.1845 0.8251 0.928 0.056 0.000 0.000 0.016
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.2770 0.7897 0.880 0.044 0.076 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4387 0.3526 0.000 0.640 0.348 0.000 0.012
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.1549 0.8447 0.000 0.040 0.944 0.000 0.016
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.0510 0.8993 0.000 0.000 0.016 0.984 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.2248 0.7397 0.012 0.088 0.000 0.000 0.900
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.2646 0.7520 0.004 0.868 0.000 0.004 0.124
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.1026 0.7668 0.024 0.004 0.000 0.004 0.968
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0579 0.7660 0.000 0.984 0.008 0.000 0.008
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.6853 0.3930 0.000 0.576 0.096 0.236 0.092
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0162 0.8654 0.000 0.000 0.996 0.000 0.004
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 5 0.0566 0.7669 0.000 0.012 0.000 0.004 0.984
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0671 0.8600 0.000 0.016 0.980 0.000 0.004
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 4 0.6224 0.2728 0.316 0.016 0.000 0.556 0.112
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.4946 0.7534 0.000 0.076 0.768 0.072 0.084
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.5963 0.3680 0.560 0.072 0.000 0.020 0.348
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.3063 0.7437 0.096 0.864 0.004 0.036 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.0510 0.8993 0.000 0.000 0.016 0.984 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.3921 0.7605 0.000 0.128 0.800 0.000 0.072
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.3171 0.7458 0.816 0.000 0.008 0.000 0.176
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.1750 0.7601 0.000 0.036 0.000 0.028 0.936
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.5697 0.3890 0.000 0.548 0.360 0.092 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0703 0.7675 0.000 0.976 0.024 0.000 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 2 0.5005 0.6036 0.064 0.660 0.000 0.000 0.276
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0162 0.8646 0.004 0.000 0.996 0.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.1341 0.8181 0.944 0.000 0.056 0.000 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.2548 0.7878 0.876 0.116 0.004 0.000 0.004
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.3944 0.6282 0.004 0.764 0.212 0.000 0.020
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 4 0.0510 0.8993 0.000 0.000 0.016 0.984 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 5 0.3607 0.5641 0.244 0.004 0.000 0.000 0.752
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.1670 0.7740 0.052 0.936 0.000 0.000 0.012
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 5 0.5858 0.2496 0.084 0.004 0.000 0.416 0.496
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.0880 0.8918 0.000 0.032 0.000 0.968 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.2583 0.7391 0.000 0.864 0.004 0.132 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 4 0.0609 0.8974 0.000 0.000 0.020 0.980 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.0162 0.9038 0.000 0.000 0.004 0.996 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.3003 0.7324 0.000 0.812 0.000 0.000 0.188
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.3182 0.7333 0.124 0.844 0.000 0.000 0.032
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.5209 0.6292 0.724 0.128 0.128 0.000 0.020
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 2 0.4808 0.4937 0.348 0.620 0.000 0.000 0.032
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 3 0.4548 0.7245 0.000 0.128 0.752 0.000 0.120
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 3 0.6919 0.3456 0.024 0.128 0.512 0.012 0.324
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.2516 0.7316 0.000 0.860 0.140 0.000 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0609 0.8379 0.980 0.000 0.000 0.000 0.020
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.3143 0.7221 0.000 0.796 0.000 0.000 0.204
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0404 0.8608 0.012 0.000 0.988 0.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 2 0.1168 0.7774 0.000 0.960 0.032 0.008 0.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 2 0.6162 0.4455 0.160 0.532 0.000 0.000 0.308
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 5 0.1851 0.7610 0.000 0.088 0.000 0.000 0.912
#> 9F68C7B1-2778-4A19-A92D-A84198806569 4 0.0290 0.9025 0.000 0.008 0.000 0.992 0.000
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 2 0.2304 0.7443 0.004 0.908 0.068 0.000 0.020
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#> 4D145415-3538-4C9F-8514-D519F8655F07 5 0.4770 0.3122 0.384 0.008 0.000 0.012 0.596
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.2377 0.7409 0.000 0.872 0.000 0.128 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 5 0.3699 0.7280 0.000 0.128 0.012 0.036 0.824
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0510 0.8376 0.984 0.000 0.000 0.000 0.016
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0671 0.8379 0.980 0.000 0.000 0.004 0.016
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 5 0.5177 0.0285 0.468 0.020 0.000 0.012 0.500
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 4 0.0794 0.8932 0.000 0.000 0.028 0.972 0.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0404 0.8608 0.012 0.000 0.988 0.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 4 0.5888 0.5887 0.000 0.128 0.072 0.692 0.108
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.4547 0.4082 0.012 0.588 0.400 0.000 0.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 5 0.7884 0.1692 0.000 0.188 0.092 0.348 0.372
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.4730 0.1853 0.000 0.568 0.012 0.004 0.416
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 5 0.5660 0.6903 0.120 0.116 0.040 0.008 0.716
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 5 0.3366 0.7499 0.032 0.116 0.000 0.008 0.844
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 5 0.3031 0.7400 0.000 0.128 0.004 0.016 0.852
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.1725 0.8756 0.000 0.020 0.044 0.936 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 5 0.2818 0.7398 0.000 0.128 0.004 0.008 0.860
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.4291 0.7669 0.000 0.128 0.796 0.048 0.028
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 5 0.4532 0.6823 0.000 0.128 0.096 0.008 0.768
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.4161 0.3124 0.000 0.000 0.000 0.608 0.392
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.2124 0.8458 0.000 0.056 0.000 0.916 0.028
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.2536 0.7509 0.000 0.868 0.000 0.004 0.128
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.3146 0.7868 0.000 0.128 0.844 0.000 0.028
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 5 0.4262 0.0940 0.440 0.000 0.000 0.000 0.560
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0290 0.9026 0.000 0.000 0.008 0.992 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.1043 0.7738 0.000 0.960 0.000 0.000 0.040
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 5 0.1787 0.7614 0.032 0.016 0.000 0.012 0.940
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 3 0.6856 0.4311 0.000 0.128 0.544 0.052 0.276
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.1026 0.8337 0.968 0.024 0.000 0.004 0.004
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.4309 0.5347 0.308 0.016 0.676 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 5 0.2660 0.7411 0.000 0.128 0.000 0.008 0.864
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.3535 0.7568 0.088 0.832 0.080 0.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1484 0.7477 0.000 0.944 0.000 0.008 0.048
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.2597 0.7375 0.092 0.024 0.000 0.000 0.884
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.2771 0.7518 0.012 0.860 0.000 0.000 0.128
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0510 0.8378 0.984 0.000 0.000 0.000 0.016
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.6225 0.4407 0.548 0.224 0.000 0.000 0.228
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.6673 0.2956 0.476 0.192 0.000 0.008 0.324
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.3123 0.7196 0.812 0.000 0.184 0.000 0.004
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.1074 0.8926 0.016 0.012 0.000 0.968 0.004
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.8343 1.000 0.000 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.8343 1.000 0.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0510 0.8605 0.016 0.000 0.984 0.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 3 0.7363 0.0940 0.000 0.128 0.416 0.072 0.384
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.3413 0.7829 0.844 0.100 0.000 0.004 0.052
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.3143 0.6507 0.000 0.796 0.204 0.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.3698 0.7830 0.012 0.052 0.000 0.832 0.104
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.0865 0.7677 0.004 0.000 0.000 0.024 0.972
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0162 0.8646 0.004 0.000 0.996 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0865 0.8381 0.972 0.000 0.000 0.004 0.024
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.1364 0.7666 0.036 0.000 0.000 0.012 0.952
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3661 0.5861 0.000 0.276 0.000 0.724 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.2124 0.8058 0.900 0.000 0.000 0.004 0.096
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0404 0.8999 0.012 0.000 0.000 0.988 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.6123 0.4671 0.204 0.164 0.000 0.016 0.616
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.1341 0.8290 0.944 0.000 0.000 0.000 0.056
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.2329 0.7830 0.124 0.000 0.876 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.1282 0.8824 0.000 0.044 0.004 0.952 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.1768 0.8173 0.924 0.000 0.000 0.004 0.072
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.1074 0.7671 0.016 0.004 0.000 0.012 0.968
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.2448 0.8173 0.000 0.088 0.892 0.000 0.020
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.4928 0.7393 0.072 0.152 0.748 0.000 0.028
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.6187 0.6044 0.000 0.128 0.136 0.072 0.664
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3003 0.7149 0.188 0.000 0.812 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.1270 0.8190 0.948 0.000 0.052 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.2852 0.7261 0.828 0.000 0.172 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0963 0.7653 0.000 0.964 0.036 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0290 0.9024 0.000 0.008 0.000 0.992 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0566 0.7688 0.004 0.984 0.012 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.1671 0.8053 0.924 0.000 0.076 0.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2074 0.7361 0.000 0.896 0.104 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.1168 0.8898 0.000 0.032 0.008 0.960 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.5680 0.2563 0.000 0.428 0.492 0.000 0.080
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.4714 0.5714 0.000 0.324 0.644 0.000 0.032
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.2930 0.7163 0.004 0.832 0.000 0.164 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0290 0.8341 0.992 0.008 0.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1430 0.8293 0.944 0.000 0.000 0.004 0.052
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.4422 0.5854 0.000 0.300 0.016 0.004 0.680
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3143 0.7191 0.000 0.796 0.000 0.000 0.204
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.3002 0.7465 0.000 0.116 0.000 0.028 0.856
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.5274 0.3768 0.036 0.012 0.596 0.000 0.356
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0932 0.8383 0.972 0.004 0.000 0.004 0.020
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.2424 0.7299 0.132 0.868 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4583 0.6931 0.044 0.740 0.204 0.000 0.012
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.5191 0.6173 0.000 0.192 0.124 0.000 0.684
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.5377 0.6990 0.000 0.132 0.716 0.028 0.124
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3928 0.5415 0.000 0.296 0.004 0.700 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.3594 0.7488 0.020 0.172 0.000 0.804 0.004
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8666 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.1041 0.8901 0.000 0.032 0.004 0.964 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.3790 0.5839 0.272 0.004 0.724 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.3938 0.7423 0.024 0.164 0.000 0.016 0.796
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3242 0.5984 0.000 0.216 0.000 0.000 0.784
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3106 0.8000 0.000 0.020 0.008 0.856 0.116
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1195 0.8318 0.960 0.028 0.000 0.000 0.012
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0000 0.9048 0.000 0.000 0.000 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0451 0.8350 0.988 0.008 0.000 0.000 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.5211 0.1589 0.000 0.432 0.524 0.044 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1740 0.7551 0.000 0.932 0.056 0.000 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.0363 0.9321 0.000 0.012 0.000 0.988 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.0713 0.9192 0.000 0.000 0.028 0.972 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4445 0.7496 0.768 0.080 0.000 0.000 0.076 0.076
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6308 0.3505 0.060 0.476 0.356 0.000 0.000 0.108
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0632 0.9273 0.000 0.000 0.976 0.000 0.000 0.024
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.3351 0.7760 0.000 0.000 0.152 0.004 0.036 0.808
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0146 0.9461 0.000 0.000 0.996 0.000 0.000 0.004
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3238 0.7513 0.000 0.072 0.000 0.024 0.848 0.056
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 6 0.5981 0.4040 0.140 0.208 0.000 0.000 0.056 0.596
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3511 0.7544 0.808 0.004 0.000 0.000 0.064 0.124
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.1434 0.7917 0.940 0.048 0.012 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.2230 0.7473 0.064 0.016 0.000 0.000 0.904 0.016
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.2070 0.7682 0.000 0.000 0.044 0.000 0.048 0.908
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.6154 0.2557 0.328 0.496 0.000 0.000 0.144 0.032
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.5319 0.5486 0.000 0.216 0.000 0.084 0.656 0.044
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0146 0.9340 0.000 0.000 0.000 0.996 0.000 0.004
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.5504 0.3777 0.204 0.000 0.232 0.000 0.564 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.0692 0.7943 0.976 0.000 0.000 0.000 0.020 0.004
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.1078 0.7430 0.012 0.964 0.000 0.000 0.008 0.016
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.5397 0.6655 0.204 0.004 0.156 0.000 0.008 0.628
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.3411 0.7440 0.000 0.000 0.232 0.008 0.004 0.756
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#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.0458 0.9280 0.000 0.000 0.016 0.984 0.000 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 6 0.2402 0.6799 0.000 0.000 0.000 0.004 0.140 0.856
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 6 0.3686 0.7360 0.000 0.032 0.220 0.000 0.000 0.748
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 6 0.3422 0.7130 0.000 0.000 0.036 0.000 0.176 0.788
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 4 0.4570 0.4557 0.000 0.000 0.000 0.644 0.292 0.064
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0260 0.9429 0.000 0.000 0.992 0.000 0.000 0.008
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 4 0.3190 0.6727 0.000 0.008 0.000 0.772 0.000 0.220
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.1765 0.7066 0.000 0.904 0.000 0.000 0.096 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 6 0.3582 0.7265 0.000 0.016 0.252 0.000 0.000 0.732
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 5 0.3151 0.5850 0.252 0.000 0.000 0.000 0.748 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0260 0.7373 0.000 0.992 0.000 0.000 0.008 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 5 0.2164 0.7627 0.012 0.020 0.000 0.000 0.908 0.060
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 6 0.3279 0.7758 0.000 0.000 0.148 0.008 0.028 0.816
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.3837 0.7599 0.812 0.060 0.000 0.000 0.076 0.052
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.5478 0.5259 0.616 0.004 0.268 0.000 0.084 0.028
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 6 0.1958 0.7208 0.000 0.000 0.004 0.000 0.100 0.896
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.4215 0.7084 0.060 0.792 0.028 0.000 0.016 0.104
#> 229B786F-7955-409B-A85D-A33D5810F519 6 0.4052 0.5671 0.012 0.284 0.000 0.008 0.004 0.692
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.4258 0.7333 0.076 0.052 0.000 0.000 0.780 0.092
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.2019 0.7077 0.000 0.900 0.000 0.000 0.088 0.012
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0260 0.7935 0.992 0.000 0.000 0.000 0.008 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 6 0.4025 0.6758 0.096 0.060 0.000 0.000 0.048 0.796
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0146 0.9461 0.000 0.000 0.996 0.000 0.000 0.004
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.6956 0.4703 0.464 0.256 0.000 0.000 0.104 0.176
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 3 0.4905 0.2124 0.388 0.000 0.552 0.000 0.056 0.004
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0146 0.9348 0.000 0.004 0.000 0.996 0.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.1881 0.8887 0.052 0.016 0.000 0.924 0.004 0.004
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0146 0.9461 0.000 0.000 0.996 0.000 0.000 0.004
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0520 0.7955 0.984 0.008 0.000 0.000 0.008 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0146 0.7930 0.996 0.000 0.000 0.000 0.004 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0692 0.9321 0.020 0.000 0.976 0.000 0.000 0.004
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 6 0.3091 0.7796 0.000 0.004 0.116 0.008 0.028 0.844
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.7022 -0.0953 0.360 0.180 0.000 0.000 0.372 0.088
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4884 0.5869 0.000 0.676 0.116 0.000 0.008 0.200
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 4 0.4833 0.6629 0.000 0.036 0.000 0.716 0.160 0.088
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.2196 0.7574 0.000 0.004 0.000 0.004 0.884 0.108
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0146 0.9465 0.000 0.000 0.996 0.000 0.000 0.004
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0937 0.7905 0.960 0.000 0.000 0.000 0.040 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 5 0.2882 0.7487 0.028 0.000 0.000 0.004 0.848 0.120
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 4 0.3373 0.6454 0.000 0.248 0.000 0.744 0.000 0.008
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.2651 0.7724 0.860 0.000 0.000 0.000 0.028 0.112
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.1049 0.9133 0.032 0.000 0.000 0.960 0.000 0.008
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 5 0.4178 0.6705 0.012 0.120 0.000 0.000 0.764 0.104
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.2912 0.6459 0.784 0.000 0.000 0.000 0.216 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.1908 0.8483 0.096 0.000 0.900 0.000 0.000 0.004
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 4 0.0458 0.9301 0.000 0.016 0.000 0.984 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.2318 0.7814 0.892 0.000 0.000 0.000 0.044 0.064
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 5 0.2062 0.7608 0.000 0.008 0.000 0.004 0.900 0.088
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.3866 0.3318 0.000 0.000 0.484 0.000 0.000 0.516
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.4664 0.7278 0.040 0.040 0.216 0.000 0.000 0.704
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.1570 0.7671 0.008 0.008 0.020 0.004 0.012 0.948
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.1858 0.8526 0.092 0.000 0.904 0.000 0.000 0.004
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.1349 0.7840 0.940 0.000 0.056 0.000 0.000 0.004
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.2805 0.6858 0.812 0.000 0.184 0.000 0.000 0.004
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.2642 0.7316 0.000 0.864 0.012 0.004 0.004 0.116
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0405 0.9308 0.000 0.000 0.000 0.988 0.004 0.008
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.0508 0.9314 0.000 0.012 0.000 0.984 0.004 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2618 0.7255 0.004 0.864 0.004 0.004 0.004 0.120
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.2664 0.7355 0.848 0.000 0.136 0.000 0.016 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4283 0.6600 0.000 0.740 0.068 0.000 0.012 0.180
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.2328 0.8592 0.000 0.056 0.000 0.892 0.000 0.052
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0146 0.9461 0.000 0.000 0.996 0.000 0.000 0.004
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 6 0.4209 0.7294 0.000 0.104 0.160 0.000 0.000 0.736
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.5327 0.3775 0.000 0.360 0.100 0.000 0.004 0.536
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3514 0.6163 0.000 0.752 0.000 0.228 0.020 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0870 0.7961 0.972 0.012 0.000 0.000 0.012 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1858 0.7665 0.904 0.000 0.000 0.000 0.092 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9484 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.3557 0.7454 0.000 0.100 0.032 0.000 0.044 0.824
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3578 0.4574 0.000 0.660 0.000 0.000 0.340 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 6 0.4148 0.4401 0.016 0.000 0.000 0.004 0.344 0.636
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.6984 0.1780 0.068 0.028 0.396 0.000 0.404 0.104
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3227 0.7756 0.840 0.012 0.000 0.000 0.096 0.052
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0622 0.7379 0.008 0.980 0.000 0.000 0.012 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0146 0.9465 0.000 0.000 0.996 0.000 0.000 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.0146 0.9340 0.000 0.000 0.000 0.996 0.000 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0363 0.9307 0.000 0.000 0.000 0.988 0.012 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.5255 0.4771 0.000 0.572 0.320 0.000 0.104 0.004
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.2255 0.7733 0.000 0.024 0.044 0.000 0.024 0.908
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.9352 0.000 0.000 0.000 1.000 0.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.3424 0.7466 0.000 0.024 0.204 0.000 0.000 0.772
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.0146 0.9348 0.000 0.004 0.000 0.996 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 4 0.3512 0.5999 0.000 0.272 0.000 0.720 0.000 0.008
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.4093 0.7729 0.012 0.108 0.000 0.796 0.060 0.024
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0146 0.9461 0.000 0.000 0.996 0.000 0.000 0.004
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.0363 0.9321 0.000 0.012 0.000 0.988 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.2703 0.7559 0.172 0.000 0.824 0.000 0.004 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.5081 0.4335 0.016 0.076 0.000 0.004 0.252 0.652
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.3806 0.6773 0.000 0.200 0.000 0.000 0.752 0.048
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3598 0.7596 0.000 0.000 0.004 0.804 0.080 0.112
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2889 0.7397 0.848 0.044 0.000 0.000 0.108 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0146 0.9340 0.000 0.000 0.000 0.996 0.000 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1858 0.7924 0.924 0.012 0.000 0.000 0.052 0.012
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.6669 0.4908 0.000 0.524 0.220 0.108 0.000 0.148
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3719 0.6195 0.000 0.728 0.000 0.000 0.024 0.248
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 17033 rows and 424 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 0.293 0.627 0.838 0.4392 0.500 0.500
#> 3 3 0.444 0.668 0.837 0.4206 0.639 0.411
#> 4 4 0.530 0.634 0.788 0.1530 0.818 0.552
#> 5 5 0.597 0.580 0.769 0.0648 0.926 0.744
#> 6 6 0.622 0.493 0.709 0.0370 0.950 0.803
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6801 0.7146 0.180 0.820
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.7859 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0938 0.7687 0.988 0.012
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#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.7859 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.6343 0.7379 0.840 0.160
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.6343 0.7379 0.840 0.160
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.9909 0.1909 0.444 0.556
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.5629 0.7482 0.132 0.868
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.8267 0.6544 0.740 0.260
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.7859 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.9754 0.3758 0.592 0.408
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.7859 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6048 0.7387 0.148 0.852
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.4815 0.7608 0.104 0.896
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0376 0.7860 0.004 0.996
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.7859 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.7859 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.8267 0.6544 0.740 0.260
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.7656 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.7859 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.7859 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.9881 0.2247 0.436 0.564
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.6623 0.7318 0.828 0.172
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.7859 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.8955 0.5844 0.688 0.312
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.9944 0.2278 0.544 0.456
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.9427 0.4496 0.360 0.640
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.7656 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.7859 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.9000 0.5370 0.316 0.684
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.2236 0.7694 0.964 0.036
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.9944 0.2282 0.544 0.456
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.5737 0.7459 0.136 0.864
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.9286 0.5284 0.656 0.344
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.9522 0.4644 0.628 0.372
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.8713 0.5788 0.292 0.708
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.9580 0.3963 0.380 0.620
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.7859 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9491 0.4770 0.632 0.368
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.7859 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.5178 0.7571 0.116 0.884
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6343 0.7298 0.160 0.840
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.7656 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.9998 -0.0194 0.492 0.508
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.9988 0.1360 0.520 0.480
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.7656 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.2236 0.7694 0.964 0.036
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0938 0.7687 0.988 0.012
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5178 0.7571 0.116 0.884
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4939 0.7594 0.108 0.892
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6252 0.19251 0.000 0.556 0.444
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.86724 0.000 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4887 0.76444 0.772 0.228 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.6309 -0.00907 0.000 0.504 0.496
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0424 0.86577 0.000 0.008 0.992
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.4636 0.70480 0.116 0.848 0.036
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.86724 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.6111 0.21859 0.396 0.604 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.2636 0.74718 0.020 0.932 0.048
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.86143 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.2796 0.82722 0.000 0.092 0.908
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2796 0.82722 0.000 0.092 0.908
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.2261 0.74837 0.000 0.932 0.068
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.6204 0.26029 0.000 0.576 0.424
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4452 0.79362 0.808 0.192 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3715 0.67286 0.128 0.868 0.004
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.5375 0.69420 0.128 0.816 0.056
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.4842 0.76273 0.776 0.224 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5291 0.51000 0.268 0.732 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.3530 0.72893 0.068 0.900 0.032
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4452 0.80168 0.808 0.192 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.86724 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.2356 0.74690 0.000 0.928 0.072
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.86724 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 3 0.4121 0.76962 0.000 0.168 0.832
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.5098 0.61616 0.000 0.752 0.248
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3752 0.71314 0.000 0.856 0.144
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.5905 0.44103 0.000 0.648 0.352
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.86724 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.4840 0.65189 0.168 0.816 0.016
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.86724 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.86143 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.2569 0.73864 0.032 0.936 0.032
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.4473 0.64518 0.164 0.828 0.008
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.86143 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.4409 0.63497 0.172 0.824 0.004
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.2383 0.74503 0.016 0.940 0.044
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.5254 0.59232 0.000 0.736 0.264
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.6192 0.26405 0.000 0.580 0.420
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4452 0.67868 0.000 0.808 0.192
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 3 0.4605 0.72784 0.000 0.204 0.796
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.6244 0.20599 0.000 0.560 0.440
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.86724 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.5016 0.54952 0.240 0.760 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.3237 0.74780 0.032 0.912 0.056
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4555 0.59908 0.200 0.800 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.1289 0.86360 0.968 0.032 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.2165 0.74641 0.000 0.936 0.064
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.4504 0.61144 0.196 0.804 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.86143 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.2703 0.74763 0.016 0.928 0.056
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.86724 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.4654 0.59637 0.208 0.792 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.3987 0.69899 0.108 0.872 0.020
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.86143 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4452 0.79362 0.808 0.192 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.5815 0.45571 0.304 0.692 0.004
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 3 0.3879 0.78559 0.000 0.152 0.848
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.2414 0.74347 0.020 0.940 0.040
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.86143 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4555 0.78949 0.800 0.200 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.6095 0.34033 0.000 0.608 0.392
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.86143 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.6309 0.18113 0.504 0.496 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.6026 0.26747 0.376 0.624 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.5905 0.43902 0.000 0.648 0.352
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.86724 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5178 0.52692 0.256 0.744 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0424 0.86254 0.992 0.008 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0892 0.86335 0.980 0.020 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.3043 0.75019 0.008 0.908 0.084
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.86724 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.3045 0.75120 0.020 0.916 0.064
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.86724 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.86143 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.6111 0.33548 0.000 0.604 0.396
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.1163 0.86358 0.972 0.028 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.86724 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.2625 0.69922 0.084 0.916 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.6235 0.07417 0.436 0.564 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.6302 0.25419 0.520 0.480 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.4504 0.79273 0.804 0.196 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.6026 0.52938 0.624 0.376 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.6204 0.26029 0.000 0.576 0.424
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 3 0.6309 0.01727 0.000 0.500 0.500
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.5216 0.64460 0.000 0.260 0.740
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.2796 0.82722 0.000 0.092 0.908
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.5138 0.60775 0.000 0.748 0.252
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.5591 0.52554 0.000 0.696 0.304
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.6079 0.50268 0.612 0.388 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 3 0.2796 0.83150 0.000 0.092 0.908
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.3116 0.84144 0.892 0.108 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 3 0.2878 0.82937 0.000 0.096 0.904
#> 814B2873-3E3E-419E-BA53-F65E322D9338 3 0.6111 0.37298 0.000 0.396 0.604
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.5098 0.61120 0.000 0.752 0.248
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.3406 0.74916 0.028 0.904 0.068
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.86724 0.000 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.86724 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.1289 0.86315 0.968 0.032 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.3482 0.72336 0.000 0.872 0.128
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.86143 1.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.86724 0.000 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 3 0.0000 0.86724 0.000 0.000 1.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.3941 0.70730 0.000 0.844 0.156
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.3267 0.73344 0.000 0.884 0.116
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.86724 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 2 0.6126 0.22224 0.400 0.600 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.86724 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.3237 0.74780 0.032 0.912 0.056
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.2793 0.74496 0.028 0.928 0.044
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.0592 0.86489 0.000 0.012 0.988
#> E45A1A52-4285-492D-A868-EB18DE119DF3 3 0.5529 0.58591 0.000 0.296 0.704
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.5327 0.70996 0.728 0.272 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.2796 0.82722 0.000 0.092 0.908
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.86724 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.2356 0.74690 0.000 0.928 0.072
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.6204 0.26029 0.000 0.576 0.424
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.6299 0.10928 0.000 0.476 0.524
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.5591 0.52554 0.000 0.696 0.304
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0424 0.86254 0.992 0.008 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 3 0.6299 0.10646 0.000 0.476 0.524
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0892 0.86335 0.980 0.020 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.3826 0.73377 0.008 0.868 0.124
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 3 0.0000 0.86724 0.000 0.000 1.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.6225 0.23791 0.000 0.568 0.432
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.2269 0.74345 0.016 0.944 0.040
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0424 0.86577 0.000 0.008 0.992
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#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.86143 1.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 3 0.6280 0.18154 0.000 0.460 0.540
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 2 0.5465 0.48974 0.288 0.712 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0592 0.86325 0.988 0.012 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.86724 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.86143 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.1753 0.86195 0.952 0.048 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.1289 0.86009 0.000 0.032 0.968
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.5497 0.54897 0.000 0.708 0.292
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.4002 0.70043 0.000 0.840 0.160
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.1643 0.85532 0.000 0.044 0.956
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.5733 0.49879 0.000 0.676 0.324
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.3293 0.74902 0.012 0.900 0.088
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5397 0.69170 0.720 0.280 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.86724 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.5741 0.64963 0.188 0.776 0.036
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.4291 0.80546 0.820 0.180 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.4291 0.73967 0.000 0.180 0.820
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.86143 1.000 0.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.4233 0.70764 0.004 0.836 0.160
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.3482 0.72336 0.000 0.872 0.128
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.1289 0.86321 0.968 0.032 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.86724 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 3 0.6267 0.18311 0.000 0.452 0.548
#> A95868A5-84D9-4538-843D-35FC17E37141 3 0.4399 0.74325 0.000 0.188 0.812
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.5138 0.60775 0.000 0.748 0.252
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.6126 0.47206 0.600 0.400 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.2269 0.74345 0.016 0.944 0.040
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.86724 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.3618 0.74414 0.012 0.884 0.104
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.4504 0.79560 0.804 0.196 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.3826 0.68085 0.124 0.868 0.008
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.86143 1.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.2356 0.74690 0.000 0.928 0.072
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6291 -0.04791 0.468 0.532 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 3 0.2959 0.82638 0.000 0.100 0.900
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.2636 0.74718 0.020 0.932 0.048
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.3683 0.74580 0.044 0.896 0.060
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.5291 0.51272 0.268 0.732 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.86143 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.4887 0.56840 0.228 0.772 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.86724 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 2 0.5098 0.54243 0.248 0.752 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.5497 0.67901 0.708 0.292 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.2261 0.74837 0.000 0.932 0.068
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.3532 0.69081 0.108 0.884 0.008
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.86724 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 3 0.4291 0.75345 0.000 0.180 0.820
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0892 0.86383 0.980 0.020 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5098 0.61120 0.000 0.752 0.248
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.4353 0.71180 0.008 0.836 0.156
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.5760 0.62625 0.672 0.328 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.86724 0.000 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.1031 0.86364 0.976 0.024 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6235 0.07417 0.436 0.564 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.2796 0.82722 0.000 0.092 0.908
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.86143 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.4291 0.81031 0.820 0.180 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.86724 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.86724 0.000 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.86143 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.5291 0.50802 0.268 0.732 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.1163 0.86358 0.972 0.028 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.86143 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0592 0.86486 0.000 0.012 0.988
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.86724 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.1031 0.86197 0.000 0.024 0.976
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.86143 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.86143 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.4605 0.66301 0.000 0.796 0.204
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.6305 0.05149 0.000 0.516 0.484
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.3826 0.67980 0.124 0.868 0.008
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.5497 0.55141 0.000 0.708 0.292
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.2165 0.74641 0.000 0.936 0.064
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.5138 0.60505 0.000 0.748 0.252
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.1753 0.85387 0.000 0.048 0.952
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.5905 0.33840 0.352 0.648 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.5905 0.33840 0.352 0.648 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3755 0.73639 0.008 0.872 0.120
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 3 0.6307 0.05680 0.000 0.488 0.512
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.4978 0.58946 0.216 0.780 0.004
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.0000 0.86724 0.000 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.3276 0.72328 0.068 0.908 0.024
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.86724 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6299 0.07355 0.000 0.524 0.476
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.6295 0.12591 0.000 0.472 0.528
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 3 0.4002 0.77758 0.000 0.160 0.840
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.86724 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.86724 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.4978 0.58946 0.216 0.780 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.86143 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.86724 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.86724 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4059 0.73259 0.012 0.860 0.128
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5733 0.40120 0.324 0.676 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 3 0.2878 0.82937 0.000 0.096 0.904
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.3752 0.65657 0.144 0.856 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2569 0.73864 0.032 0.936 0.032
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.4504 0.66955 0.000 0.804 0.196
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.86143 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 3 0.3879 0.78597 0.000 0.152 0.848
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.5098 0.61120 0.000 0.752 0.248
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.5216 0.72153 0.740 0.260 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.2810 0.73960 0.036 0.928 0.036
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.6309 -0.00357 0.000 0.504 0.496
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.3755 0.68183 0.120 0.872 0.008
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.3832 0.70551 0.100 0.880 0.020
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5363 0.57597 0.000 0.724 0.276
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4235 0.69345 0.000 0.824 0.176
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.86724 0.000 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.3987 0.69899 0.108 0.872 0.020
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.86724 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 3 0.6305 0.08627 0.000 0.484 0.516
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6274 0.15434 0.000 0.544 0.456
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.86143 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.3325 0.75079 0.020 0.904 0.076
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.2383 0.74503 0.016 0.940 0.044
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0747 0.86360 0.984 0.016 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.5216 0.72153 0.740 0.260 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5138 0.73673 0.748 0.252 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.6305 0.08627 0.000 0.484 0.516
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 3 0.6302 0.09773 0.000 0.480 0.520
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4406 0.6056 0.000 0.780 0.192 0.028
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0817 0.8832 0.000 0.024 0.976 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5212 0.5100 0.572 0.008 0.000 0.420
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.5083 0.5447 0.000 0.716 0.248 0.036
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1637 0.8719 0.000 0.060 0.940 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.5155 0.1626 0.004 0.468 0.000 0.528
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.4782 0.6527 0.152 0.068 0.000 0.780
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4500 0.4832 0.000 0.684 0.000 0.316
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.3726 0.7711 0.000 0.212 0.788 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.3688 0.7745 0.000 0.208 0.792 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.4401 0.5432 0.000 0.724 0.004 0.272
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4540 0.6195 0.000 0.772 0.196 0.032
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4661 0.6458 0.652 0.000 0.000 0.348
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.5039 0.4124 0.004 0.404 0.000 0.592
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 4 0.5508 0.1908 0.016 0.476 0.000 0.508
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.5217 0.5444 0.608 0.012 0.000 0.380
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4301 0.7286 0.064 0.120 0.000 0.816
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.5158 0.1627 0.004 0.472 0.000 0.524
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4790 0.5955 0.620 0.000 0.000 0.380
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.4220 0.5628 0.000 0.748 0.004 0.248
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 3 0.5746 0.5816 0.000 0.348 0.612 0.040
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.4168 0.6649 0.000 0.828 0.080 0.092
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.3625 0.6334 0.000 0.828 0.012 0.160
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3694 0.6465 0.000 0.844 0.124 0.032
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.4868 0.5961 0.012 0.304 0.000 0.684
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0921 0.8823 0.000 0.028 0.972 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.4830 0.3280 0.000 0.608 0.000 0.392
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.4980 0.5834 0.016 0.304 0.000 0.680
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.4988 0.6078 0.020 0.288 0.000 0.692
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.4585 0.4553 0.000 0.668 0.000 0.332
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.3972 0.6637 0.000 0.840 0.080 0.080
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4920 0.6143 0.000 0.756 0.192 0.052
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4088 0.6513 0.000 0.820 0.040 0.140
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 3 0.5628 0.4362 0.000 0.420 0.556 0.024
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4079 0.6104 0.000 0.800 0.180 0.020
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0469 0.8858 0.000 0.012 0.988 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.3813 0.7149 0.024 0.148 0.000 0.828
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4624 0.4371 0.000 0.660 0.000 0.340
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#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.5231 0.4251 0.012 0.384 0.000 0.604
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.4215 0.6619 0.000 0.824 0.104 0.072
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.4103 0.5512 0.000 0.744 0.000 0.256
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3959 0.6637 0.000 0.840 0.068 0.092
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.3925 0.8034 0.000 0.176 0.808 0.016
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4301 0.6860 0.120 0.064 0.000 0.816
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4301 0.6860 0.120 0.064 0.000 0.816
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4509 0.5003 0.000 0.708 0.004 0.288
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4630 0.5191 0.000 0.732 0.252 0.016
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.5864 0.6495 0.072 0.264 0.000 0.664
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.0336 0.8867 0.000 0.008 0.992 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4996 0.0788 0.000 0.484 0.000 0.516
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4290 0.5728 0.000 0.772 0.212 0.016
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.4690 0.4933 0.000 0.724 0.260 0.016
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 3 0.5677 0.6106 0.000 0.332 0.628 0.040
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0188 0.8872 0.000 0.004 0.996 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.5864 0.6495 0.072 0.264 0.000 0.664
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0592 0.8849 0.000 0.016 0.984 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.3852 0.6090 0.000 0.800 0.008 0.192
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.3966 0.7067 0.088 0.072 0.000 0.840
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 3 0.5137 0.7320 0.000 0.244 0.716 0.040
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.4477 0.5554 0.000 0.312 0.000 0.688
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4830 0.3280 0.000 0.608 0.000 0.392
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.3731 0.6587 0.000 0.844 0.036 0.120
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 3 0.5639 0.6237 0.000 0.324 0.636 0.040
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.3687 0.6625 0.000 0.856 0.064 0.080
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.5105 0.5037 0.564 0.004 0.000 0.432
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.4855 0.3083 0.000 0.600 0.000 0.400
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4776 0.5448 0.000 0.732 0.244 0.024
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.5070 0.3812 0.004 0.416 0.000 0.580
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4866 0.3356 0.000 0.404 0.000 0.596
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.4297 0.6641 0.000 0.820 0.096 0.084
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4789 0.6503 0.000 0.772 0.056 0.172
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.4933 0.3271 0.000 0.432 0.000 0.568
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8878 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4797 0.5113 0.000 0.720 0.260 0.020
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.4635 0.5965 0.000 0.756 0.216 0.028
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.8291 1.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4761 0.4227 0.000 0.664 0.004 0.332
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.4585 0.4553 0.000 0.668 0.000 0.332
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1557 0.8284 0.944 0.000 0.000 0.056
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.5105 0.5037 0.564 0.004 0.000 0.432
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5263 0.4371 0.544 0.008 0.000 0.448
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4797 0.5113 0.000 0.720 0.260 0.020
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4546 0.5067 0.000 0.732 0.256 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4849 1.80e-01 0.000 0.432 0.016 0.548 0.004
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.1270 8.75e-01 0.000 0.052 0.948 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5272 4.20e-01 0.528 0.032 0.000 0.008 0.432
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.4818 8.60e-02 0.000 0.460 0.020 0.520 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1952 8.46e-01 0.000 0.084 0.912 0.004 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4150 1.58e-01 0.000 0.000 0.000 0.612 0.388
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.4449 6.78e-01 0.112 0.016 0.000 0.088 0.784
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.3241 6.03e-01 0.000 0.024 0.000 0.832 0.144
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4901 5.70e-01 0.000 0.168 0.716 0.116 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4855 5.77e-01 0.000 0.168 0.720 0.112 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.2448 6.45e-01 0.000 0.020 0.000 0.892 0.088
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.4675 2.89e-01 0.000 0.380 0.020 0.600 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.4613 5.81e-01 0.620 0.020 0.000 0.000 0.360
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4448 -2.22e-01 0.000 0.004 0.000 0.516 0.480
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 4 0.6242 -1.00e-02 0.000 0.144 0.000 0.448 0.408
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.5225 4.93e-01 0.564 0.040 0.000 0.004 0.392
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 5 0.4201 7.29e-01 0.044 0.000 0.000 0.204 0.752
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4527 1.27e-01 0.000 0.012 0.000 0.596 0.392
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4940 5.19e-01 0.576 0.032 0.000 0.000 0.392
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.1408 6.47e-01 0.000 0.008 0.000 0.948 0.044
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4300 7.31e-01 0.000 0.772 0.132 0.096 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.3583 5.77e-01 0.000 0.192 0.012 0.792 0.004
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.2597 6.40e-01 0.000 0.092 0.000 0.884 0.024
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.4492 4.49e-01 0.000 0.296 0.020 0.680 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.4697 4.73e-01 0.000 0.020 0.000 0.388 0.592
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1205 8.81e-01 0.000 0.040 0.956 0.004 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3274 5.07e-01 0.000 0.000 0.000 0.780 0.220
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 5 0.4201 4.75e-01 0.000 0.000 0.000 0.408 0.592
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.4114 5.25e-01 0.000 0.000 0.000 0.376 0.624
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.2605 5.90e-01 0.000 0.000 0.000 0.852 0.148
#> AA273C14-F561-46DA-A645-429A1112FC50 4 0.3880 5.62e-01 0.000 0.204 0.020 0.772 0.004
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.5070 2.40e-01 0.000 0.400 0.024 0.568 0.008
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.3602 6.19e-01 0.000 0.140 0.004 0.820 0.036
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4724 6.85e-01 0.000 0.732 0.104 0.164 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4745 2.33e-01 0.000 0.424 0.012 0.560 0.004
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0703 8.94e-01 0.000 0.024 0.976 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 5 0.3196 7.15e-01 0.004 0.000 0.000 0.192 0.804
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.3163 5.90e-01 0.000 0.012 0.000 0.824 0.164
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.3835 6.68e-01 0.000 0.008 0.000 0.260 0.732
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.2864 7.97e-01 0.864 0.024 0.000 0.000 0.112
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.1430 6.47e-01 0.000 0.004 0.000 0.944 0.052
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.4268 5.61e-01 0.000 0.008 0.000 0.344 0.648
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.2583 6.05e-01 0.000 0.004 0.000 0.864 0.132
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.3910 6.50e-01 0.000 0.008 0.000 0.272 0.720
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.5161 -1.03e-01 0.000 0.040 0.000 0.516 0.444
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0162 8.13e-01 0.996 0.000 0.000 0.000 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4613 5.81e-01 0.620 0.020 0.000 0.000 0.360
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.4484 7.32e-01 0.044 0.012 0.000 0.192 0.752
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4867 7.34e-01 0.000 0.716 0.180 0.104 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.2690 5.82e-01 0.000 0.000 0.000 0.844 0.156
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.5098 5.14e-01 0.584 0.028 0.000 0.008 0.380
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.4904 3.06e-01 0.000 0.368 0.020 0.604 0.008
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0162 8.13e-01 0.996 0.000 0.000 0.000 0.004
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.4774 5.25e-01 0.204 0.020 0.000 0.044 0.732
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.5781 6.56e-01 0.116 0.032 0.000 0.176 0.676
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.4560 4.54e-01 0.000 0.304 0.016 0.672 0.008
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 5 0.3381 7.29e-01 0.016 0.000 0.000 0.176 0.808
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.1357 8.11e-01 0.948 0.004 0.000 0.000 0.048
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.2448 8.04e-01 0.892 0.020 0.000 0.000 0.088
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.2871 6.54e-01 0.000 0.040 0.000 0.872 0.088
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.3359 6.08e-01 0.000 0.020 0.000 0.816 0.164
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.1270 8.75e-01 0.000 0.052 0.948 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.4898 3.68e-01 0.000 0.332 0.032 0.632 0.004
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.2561 8.03e-01 0.884 0.020 0.000 0.000 0.096
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0162 9.03e-01 0.000 0.004 0.996 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4210 4.68e-02 0.000 0.000 0.000 0.588 0.412
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.4147 6.29e-01 0.136 0.012 0.000 0.056 0.796
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.5936 4.56e-01 0.216 0.048 0.000 0.080 0.656
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.4551 5.87e-01 0.616 0.016 0.000 0.000 0.368
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 5 0.5305 1.98e-01 0.320 0.040 0.000 0.016 0.624
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.4675 2.89e-01 0.000 0.380 0.020 0.600 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.4821 7.08e-02 0.000 0.464 0.020 0.516 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.6229 5.93e-01 0.000 0.540 0.192 0.268 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.4901 5.70e-01 0.000 0.168 0.716 0.116 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 4 0.3652 5.67e-01 0.000 0.200 0.012 0.784 0.004
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.4313 5.27e-01 0.000 0.260 0.008 0.716 0.016
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.5444 2.94e-01 0.272 0.052 0.000 0.024 0.652
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3246 6.95e-01 0.000 0.808 0.184 0.008 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.3878 7.20e-01 0.748 0.016 0.000 0.000 0.236
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.3123 6.95e-01 0.000 0.812 0.184 0.004 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.5718 2.52e-01 0.000 0.496 0.084 0.420 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.3618 5.70e-01 0.000 0.196 0.012 0.788 0.004
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.5028 4.61e-01 0.000 0.072 0.000 0.668 0.260
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0510 8.98e-01 0.000 0.016 0.984 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.2915 7.97e-01 0.860 0.024 0.000 0.000 0.116
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#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3123 6.95e-01 0.000 0.812 0.184 0.004 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.4430 3.70e-01 0.000 0.004 0.000 0.456 0.540
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3274 5.07e-01 0.000 0.000 0.000 0.780 0.220
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.3645 6.10e-01 0.000 0.168 0.004 0.804 0.024
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 8.13e-01 1.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4404 7.39e-01 0.000 0.760 0.152 0.088 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.3618 5.70e-01 0.000 0.196 0.012 0.788 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.4989 3.81e-01 0.520 0.016 0.000 0.008 0.456
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.3274 5.03e-01 0.000 0.000 0.000 0.780 0.220
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 4 0.4890 9.72e-02 0.000 0.452 0.024 0.524 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4552 -1.78e-01 0.000 0.008 0.000 0.524 0.468
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 5 0.4307 1.78e-01 0.000 0.000 0.000 0.500 0.500
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.4004 5.57e-01 0.000 0.216 0.016 0.760 0.008
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3589 6.36e-01 0.000 0.132 0.004 0.824 0.040
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.5161 -1.03e-01 0.000 0.040 0.000 0.516 0.444
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 9.03e-01 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4827 2.63e-02 0.000 0.476 0.020 0.504 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.4689 2.00e-01 0.000 0.424 0.016 0.560 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0290 8.13e-01 0.992 0.000 0.000 0.000 0.008
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.4793 5.21e-01 0.000 0.076 0.000 0.708 0.216
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.2561 5.92e-01 0.000 0.000 0.000 0.856 0.144
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1502 8.11e-01 0.940 0.004 0.000 0.000 0.056
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.4989 3.81e-01 0.520 0.016 0.000 0.008 0.456
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.5297 3.48e-01 0.500 0.032 0.000 0.008 0.460
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.4827 2.63e-02 0.000 0.476 0.020 0.504 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 4 0.4905 1.46e-02 0.000 0.476 0.024 0.500 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 4 0.4779 0.01916 0.000 0.444 0.004 0.516 0.032 0.004
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.1141 0.88703 0.000 0.052 0.948 0.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 6 0.6337 -0.21777 0.332 0.004 0.000 0.004 0.284 0.376
#> C3B7657E-B340-4808-86D9-277E661D48DD 4 0.4091 -0.05275 0.000 0.472 0.008 0.520 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.1753 0.85919 0.000 0.084 0.912 0.004 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4423 0.09557 0.000 0.000 0.000 0.552 0.028 0.420
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 6 0.4390 0.35399 0.052 0.000 0.000 0.032 0.172 0.744
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.4278 0.58232 0.000 0.028 0.000 0.764 0.072 0.136
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.72665 1.000 0.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4548 0.59993 0.000 0.164 0.712 0.120 0.004 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4508 0.60612 0.000 0.164 0.716 0.116 0.004 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.2982 0.61216 0.000 0.016 0.000 0.844 0.016 0.124
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 4 0.4033 0.17648 0.000 0.404 0.004 0.588 0.004 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.6010 0.23702 0.428 0.000 0.000 0.000 0.260 0.312
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 6 0.4850 0.25857 0.000 0.000 0.000 0.448 0.056 0.496
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.6740 0.12945 0.000 0.084 0.000 0.312 0.460 0.144
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.6056 -0.03524 0.412 0.000 0.000 0.000 0.296 0.292
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 6 0.3551 0.51819 0.012 0.000 0.000 0.144 0.040 0.804
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.5217 0.05085 0.000 0.004 0.000 0.504 0.080 0.412
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.6165 0.17302 0.404 0.004 0.000 0.000 0.260 0.332
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.2002 0.61404 0.000 0.008 0.000 0.916 0.020 0.056
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.91321 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3655 0.63689 0.000 0.812 0.100 0.072 0.016 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.3152 0.52534 0.000 0.192 0.004 0.796 0.004 0.004
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.2679 0.60092 0.000 0.096 0.000 0.864 0.000 0.040
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.4110 0.37283 0.000 0.296 0.012 0.680 0.008 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 6 0.5348 0.40683 0.000 0.012 0.000 0.292 0.104 0.592
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1082 0.89233 0.000 0.040 0.956 0.004 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0547 0.73326 0.980 0.000 0.000 0.000 0.020 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3834 0.44333 0.000 0.000 0.000 0.708 0.024 0.268
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.4092 0.45061 0.000 0.000 0.000 0.344 0.020 0.636
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.72665 1.000 0.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 6 0.3969 0.46749 0.000 0.000 0.000 0.312 0.020 0.668
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.3269 0.55341 0.000 0.000 0.000 0.792 0.024 0.184
#> AA273C14-F561-46DA-A645-429A1112FC50 4 0.3560 0.50790 0.000 0.204 0.012 0.772 0.008 0.004
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 4 0.4972 0.10405 0.000 0.416 0.008 0.536 0.028 0.012
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.4271 0.57283 0.000 0.136 0.000 0.768 0.052 0.044
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3934 0.60641 0.000 0.780 0.068 0.140 0.012 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4698 0.09019 0.000 0.428 0.004 0.536 0.028 0.004
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0632 0.90489 0.000 0.024 0.976 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 6 0.2494 0.52724 0.000 0.000 0.000 0.120 0.016 0.864
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.3992 0.55274 0.000 0.008 0.000 0.756 0.052 0.184
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 6 0.4952 0.36867 0.000 0.000 0.000 0.168 0.180 0.652
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.4061 0.65362 0.708 0.000 0.000 0.000 0.248 0.044
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.2011 0.61429 0.000 0.004 0.000 0.912 0.020 0.064
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.5030 0.43365 0.000 0.000 0.000 0.268 0.116 0.616
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.72665 1.000 0.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.3086 0.58114 0.000 0.004 0.000 0.820 0.020 0.156
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.4765 0.45873 0.000 0.000 0.000 0.196 0.132 0.672
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.6297 -0.16490 0.000 0.024 0.000 0.404 0.176 0.396
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0603 0.73261 0.980 0.000 0.000 0.000 0.016 0.004
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.6010 0.23702 0.428 0.000 0.000 0.000 0.260 0.312
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.4293 0.50956 0.024 0.000 0.000 0.140 0.076 0.760
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4216 0.63586 0.000 0.756 0.148 0.084 0.012 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3473 0.54370 0.000 0.004 0.000 0.780 0.024 0.192
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1075 0.72974 0.952 0.000 0.000 0.000 0.048 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.6294 0.14235 0.396 0.004 0.000 0.004 0.260 0.336
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.4813 0.18476 0.000 0.384 0.004 0.572 0.028 0.012
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0603 0.73307 0.980 0.000 0.000 0.000 0.016 0.004
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.4923 0.19732 0.108 0.000 0.000 0.020 0.180 0.692
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 6 0.6268 -0.18648 0.052 0.000 0.000 0.112 0.372 0.464
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.4175 0.37423 0.000 0.308 0.008 0.668 0.008 0.008
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 6 0.2747 0.52887 0.004 0.000 0.000 0.108 0.028 0.860
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.2462 0.72222 0.876 0.000 0.000 0.000 0.096 0.028
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.4065 0.65852 0.724 0.000 0.000 0.000 0.220 0.056
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.3078 0.62198 0.000 0.032 0.000 0.848 0.016 0.104
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.4060 0.56905 0.000 0.012 0.000 0.752 0.048 0.188
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.1141 0.88703 0.000 0.052 0.948 0.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.72665 1.000 0.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.4480 0.27922 0.000 0.344 0.016 0.624 0.012 0.004
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.4149 0.65692 0.720 0.000 0.000 0.000 0.216 0.064
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4399 -0.06111 0.000 0.000 0.000 0.516 0.024 0.460
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 6 0.3890 0.35539 0.036 0.000 0.000 0.028 0.152 0.784
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.6184 0.46302 0.120 0.000 0.000 0.040 0.460 0.380
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.5873 0.22757 0.444 0.000 0.000 0.000 0.204 0.352
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 6 0.5907 -0.44588 0.176 0.000 0.000 0.004 0.396 0.424
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 4 0.4033 0.17648 0.000 0.404 0.004 0.588 0.004 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.4312 -0.05902 0.000 0.476 0.004 0.508 0.012 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.5578 0.52541 0.000 0.560 0.168 0.268 0.004 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.4548 0.59993 0.000 0.164 0.712 0.120 0.004 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 4 0.3323 0.51433 0.000 0.200 0.004 0.784 0.008 0.004
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.4013 0.46088 0.000 0.260 0.004 0.712 0.008 0.016
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.5652 0.54815 0.128 0.004 0.000 0.004 0.524 0.340
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3553 0.55326 0.000 0.804 0.128 0.004 0.064 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.5486 0.48115 0.568 0.000 0.000 0.000 0.224 0.208
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.3235 0.56388 0.000 0.820 0.128 0.000 0.052 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.5188 0.30118 0.000 0.512 0.068 0.412 0.008 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.3293 0.51701 0.000 0.196 0.004 0.788 0.008 0.004
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.6073 0.38354 0.000 0.036 0.000 0.556 0.240 0.168
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0458 0.90853 0.000 0.016 0.984 0.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.91321 0.000 0.000 1.000 0.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.3980 0.65539 0.732 0.000 0.000 0.000 0.216 0.052
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 4 0.2803 0.60726 0.000 0.084 0.000 0.864 0.004 0.048
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0603 0.73307 0.980 0.000 0.000 0.000 0.016 0.004
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.91321 0.000 0.000 1.000 0.000 0.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 3 0.0713 0.90342 0.000 0.028 0.972 0.000 0.000 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.3654 0.60934 0.000 0.104 0.004 0.812 0.008 0.072
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.3557 0.61966 0.000 0.060 0.000 0.828 0.032 0.080
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 6 0.5573 0.41425 0.096 0.004 0.000 0.092 0.132 0.676
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 4 0.3992 0.55274 0.000 0.008 0.000 0.756 0.052 0.184
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.5225 0.39682 0.000 0.016 0.000 0.620 0.092 0.272
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.3690 0.54570 0.000 0.308 0.684 0.008 0.000 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.5535 0.49056 0.000 0.560 0.132 0.300 0.008 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 5 0.5939 0.42623 0.276 0.000 0.000 0.000 0.460 0.264
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.4548 0.59993 0.000 0.164 0.712 0.120 0.004 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0146 0.91319 0.000 0.004 0.996 0.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 4 0.2002 0.61404 0.000 0.008 0.000 0.916 0.020 0.056
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#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.4945 0.22638 0.000 0.000 0.000 0.452 0.064 0.484
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 6 0.4141 0.22483 0.000 0.000 0.000 0.432 0.012 0.556
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.3605 0.50323 0.000 0.224 0.004 0.756 0.008 0.008
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3877 0.59897 0.000 0.124 0.004 0.800 0.024 0.048
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.91321 0.000 0.000 1.000 0.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.6297 -0.16490 0.000 0.024 0.000 0.404 0.176 0.396
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.91321 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 4 0.4326 -0.10653 0.000 0.488 0.008 0.496 0.008 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 4 0.4178 0.07931 0.000 0.428 0.008 0.560 0.004 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.1297 0.73408 0.948 0.000 0.000 0.000 0.040 0.012
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.5959 0.45774 0.000 0.056 0.000 0.592 0.228 0.124
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3236 0.55570 0.000 0.000 0.000 0.796 0.024 0.180
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3385 0.69576 0.788 0.000 0.000 0.000 0.180 0.032
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 6 0.6156 -0.20577 0.344 0.000 0.000 0.004 0.252 0.400
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 6 0.6306 -0.20424 0.304 0.004 0.000 0.004 0.284 0.404
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.4326 -0.10653 0.000 0.488 0.008 0.496 0.008 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4227 0.11029 0.000 0.500 0.008 0.488 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.990 0.995 0.5015 0.499 0.499
#> 3 3 0.923 0.926 0.969 0.2961 0.649 0.417
#> 4 4 0.882 0.864 0.943 0.1344 0.762 0.443
#> 5 5 0.709 0.687 0.828 0.0679 0.840 0.488
#> 6 6 0.720 0.587 0.739 0.0432 0.859 0.459
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.994 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.994 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.996 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.994 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.994 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.0000 0.996 1.000 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.994 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.996 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.996 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.996 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.994 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.994 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.994 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.994 0.000 1.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.996 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.0000 0.996 1.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.996 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.996 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.0000 0.996 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.0000 0.996 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.996 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.994 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.994 0.000 1.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.994 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.994 0.000 1.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.994 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.994 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.994 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.994 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.0000 0.996 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.994 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.996 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 1 0.5178 0.869 0.884 0.116
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0000 0.996 1.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.996 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.996 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0000 0.996 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.994 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.994 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.994 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.994 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.994 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.994 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.0000 0.996 1.000 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.7602 0.719 0.780 0.220
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0000 0.996 1.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.996 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.996 1.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.996 1.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.996 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 1 0.7815 0.699 0.768 0.232
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.994 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.996 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.996 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.996 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.996 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.0000 0.996 1.000 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.994 0.000 1.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 1 0.0000 0.996 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.996 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.996 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.994 0.000 1.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.996 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.996 1.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.996 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.994 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.994 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.0000 0.996 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.996 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.996 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.994 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.994 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.0000 0.996 1.000 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.994 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.996 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.994 0.000 1.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.996 1.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.994 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 1 0.0000 0.996 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.996 1.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.996 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0000 0.996 1.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.996 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.0000 0.994 0.000 1.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.994 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.994 0.000 1.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.994 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.994 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.994 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.996 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.0000 0.994 0.000 1.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.996 1.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.994 0.000 1.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0000 0.994 0.000 1.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.994 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.996 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.994 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.994 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.996 1.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.994 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.996 1.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.994 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.0000 0.994 0.000 1.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.994 0.000 1.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0000 0.994 0.000 1.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0000 0.994 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.996 1.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0000 0.994 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.0000 0.994 0.000 1.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 1 0.0000 0.996 1.000 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.0000 0.994 0.000 1.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.0000 0.994 0.000 1.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.996 1.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0000 0.994 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0000 0.994 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.7950 0.686 0.240 0.760
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.0000 0.994 0.000 1.000
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.0000 0.994 0.000 1.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.994 0.000 1.000
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#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.994 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.996 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0000 0.996 1.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.994 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.996 1.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.994 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.994 0.000 1.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.996 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.994 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.994 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.994 0.000 1.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.994 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.996 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 1 0.0000 0.996 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.994 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.0000 0.996 1.000 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.996 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 1 0.0000 0.996 1.000 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.996 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.0000 0.994 0.000 1.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.0000 0.996 1.000 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.994 0.000 1.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0000 0.994 0.000 1.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.996 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.996 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.996 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.996 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.994 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.996 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.996 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.994 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.0000 0.996 1.000 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.994 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.994 0.000 1.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.996 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.994 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.994 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.996 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.994 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.996 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.996 1.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.994 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.996 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.996 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.994 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.994 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.996 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0000 0.996 1.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.996 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.996 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.994 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.994 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.994 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.996 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.996 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.994 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.994 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.0000 0.996 1.000 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.994 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.2043 0.963 0.032 0.968
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.994 0.000 1.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.994 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.0000 0.996 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.0000 0.996 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.7376 0.739 0.208 0.792
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.994 0.000 1.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0000 0.996 1.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.994 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.0000 0.996 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.994 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.994 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.994 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.994 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.994 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.994 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.996 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.996 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.994 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.994 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.994 0.000 1.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.0000 0.996 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.994 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.0000 0.996 1.000 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.0000 0.996 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.994 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.996 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.994 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.994 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.996 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.0000 0.996 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.994 0.000 1.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0000 0.996 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.0000 0.996 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.994 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.994 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.994 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.996 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.994 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.994 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.994 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.996 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.994 0.000 1.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.0000 0.996 1.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.996 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.996 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.996 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.994 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.994 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.95049 0.000 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.98292 0.000 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.97572 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4291 0.77905 0.000 0.820 0.180
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.98292 0.000 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.95049 0.000 1.000 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.98292 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1753 0.93624 0.952 0.048 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.0000 0.95049 0.000 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.97572 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.98292 0.000 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.98292 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.95049 0.000 1.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.95049 0.000 1.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.97572 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.95049 0.000 1.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.0000 0.95049 0.000 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.97572 1.000 0.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.95049 0.000 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.0000 0.95049 0.000 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.97572 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.98292 0.000 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.95049 0.000 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.98292 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 3 0.5706 0.52192 0.000 0.320 0.680
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.95049 0.000 1.000 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.95049 0.000 1.000 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.5363 0.63228 0.000 0.724 0.276
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.98292 0.000 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.0000 0.95049 0.000 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.98292 0.000 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.97572 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.95049 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.0000 0.95049 0.000 1.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.97572 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.0000 0.95049 0.000 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.0000 0.95049 0.000 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.6192 0.30248 0.000 0.580 0.420
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.95049 0.000 1.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.95049 0.000 1.000 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 3 0.4931 0.69430 0.000 0.232 0.768
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.95049 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.98292 0.000 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.5016 0.66946 0.240 0.760 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.0000 0.95049 0.000 1.000 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.0000 0.95049 0.000 1.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.97572 1.000 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.0000 0.95049 0.000 1.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.0000 0.95049 0.000 1.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.97572 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.95049 0.000 1.000 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.98292 0.000 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.0000 0.95049 0.000 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.0000 0.95049 0.000 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.97572 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.97572 1.000 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.6305 0.04916 0.484 0.516 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 3 0.0000 0.98292 0.000 0.000 1.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.95049 0.000 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.97572 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.97572 1.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.95049 0.000 1.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.97572 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0592 0.96662 0.988 0.012 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.6111 0.35380 0.604 0.396 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0892 0.93714 0.000 0.980 0.020
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.98292 0.000 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0747 0.93850 0.016 0.984 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.97572 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.97572 1.000 0.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.95049 0.000 1.000 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.98292 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.0000 0.95049 0.000 1.000 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.98292 0.000 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.97572 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0237 0.94798 0.000 0.996 0.004
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#> DC3C3FA1-7742-4D50-812C-418B5035E30F 3 0.0000 0.98292 0.000 0.000 1.000
#> D361F7B1-6CF3-472E-B081-B606327DABCA 3 0.0000 0.98292 0.000 0.000 1.000
#> 58BA322C-EC09-4A4D-A44A-65C0ED975A4D 2 0.0000 0.95049 0.000 1.000 0.000
#> 821E3D5D-5BAC-415B-B722-AE97A23D142C 2 0.0000 0.95049 0.000 1.000 0.000
#> 3076973D-97E4-4E3E-BA81-910F8B505E06 2 0.0000 0.95049 0.000 1.000 0.000
#> 2E0B5BC2-28D6-48CE-B302-4333747CB009 2 0.0000 0.95049 0.000 1.000 0.000
#> 24FE253B-BC9F-48FE-84C4-33AA8EF99641 2 0.0000 0.95049 0.000 1.000 0.000
#> 1B1ABFE9-C01E-489E-856A-CD3DD3D100C0 2 0.0000 0.95049 0.000 1.000 0.000
#> 9E7E4BB2-2F91-4217-A8F0-AA891F2944C6 2 0.0000 0.95049 0.000 1.000 0.000
#> EAC2BC63-683A-44E1-90B9-9096AEB44949 3 0.0000 0.98292 0.000 0.000 1.000
#> 79C6F42B-6BC4-43FD-831B-200DF3AE2C30 2 0.0000 0.95049 0.000 1.000 0.000
#> 61C2C466-6680-42B2-8050-A597FC78A066 2 0.0000 0.95049 0.000 1.000 0.000
#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 2 0.0000 0.95049 0.000 1.000 0.000
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 2 0.5591 0.55631 0.304 0.696 0.000
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.97572 1.000 0.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 2 0.0000 0.95049 0.000 1.000 0.000
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 2 0.0000 0.95049 0.000 1.000 0.000
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 2 0.0000 0.95049 0.000 1.000 0.000
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.2356 0.89610 0.000 0.928 0.072
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.0424 0.94463 0.008 0.992 0.000
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.4399 0.76855 0.000 0.812 0.188
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.2165 0.90257 0.000 0.936 0.064
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.0000 0.98292 0.000 0.000 1.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.95049 0.000 1.000 0.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0000 0.97572 1.000 0.000 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.98292 0.000 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.0000 0.95049 0.000 1.000 0.000
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.0000 0.97572 1.000 0.000 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.0000 0.95049 0.000 1.000 0.000
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.0000 0.95049 0.000 1.000 0.000
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.98292 0.000 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.3482 0.84151 0.000 0.872 0.128
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0000 0.95049 0.000 1.000 0.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.0000 0.98292 0.000 0.000 1.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 3 0.0000 0.98292 0.000 0.000 1.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 3 0.0000 0.98292 0.000 0.000 1.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 3 0.0000 0.98292 0.000 0.000 1.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0000 0.97572 1.000 0.000 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.3619 0.83249 0.000 0.864 0.136
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 2 0.6309 0.00218 0.496 0.504 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.97572 1.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.0000 0.95049 0.000 1.000 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.0000 0.95049 0.000 1.000 0.000
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.2959 0.87004 0.000 0.900 0.100
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.0000 0.95049 0.000 1.000 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.97572 1.000 0.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.97572 1.000 0.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.0000 0.97572 1.000 0.000 0.000
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.97572 1.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.1529 0.92198 0.000 0.960 0.040
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.0424 0.96977 0.992 0.008 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.97572 1.000 0.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.98292 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.97572 1.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.97572 1.000 0.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.0000 0.98292 0.000 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.2878 0.87415 0.000 0.904 0.096
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.95049 0.000 1.000 0.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.0000 0.98292 0.000 0.000 1.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.95049 0.000 1.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0000 0.95049 0.000 1.000 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.0000 0.97572 1.000 0.000 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.98292 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 2 0.0000 0.95049 0.000 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0000 0.97572 1.000 0.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.0000 0.98292 0.000 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.97572 1.000 0.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.95049 0.000 1.000 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.95049 0.000 1.000 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.97572 1.000 0.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.98292 0.000 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.2066 0.90705 0.000 0.940 0.060
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.3619 0.83265 0.000 0.864 0.136
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0237 0.94795 0.000 0.996 0.004
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.97572 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.0000 0.95049 0.000 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.98292 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0000 0.95049 0.000 1.000 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.97572 1.000 0.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.0000 0.95049 0.000 1.000 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.97572 1.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.0000 0.95049 0.000 1.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.2625 0.90219 0.916 0.084 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 3 0.3116 0.86863 0.000 0.108 0.892
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0000 0.95049 0.000 1.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.0000 0.95049 0.000 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.0000 0.95049 0.000 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.97572 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.6168 0.29164 0.412 0.588 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.98292 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.97572 1.000 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.97572 1.000 0.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.95049 0.000 1.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.0000 0.95049 0.000 1.000 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.98292 0.000 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.1753 0.91579 0.000 0.952 0.048
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.97572 1.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.95049 0.000 1.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.95049 0.000 1.000 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.97572 1.000 0.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.98292 0.000 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.97572 1.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.2066 0.92546 0.940 0.060 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.98292 0.000 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.97572 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.97572 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.98292 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.98292 0.000 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.97572 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5327 0.63817 0.728 0.272 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.97572 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.97572 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.98292 0.000 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.98292 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.0000 0.98292 0.000 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.97572 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.97572 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.95049 0.000 1.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2261 0.89942 0.000 0.932 0.068
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.95049 0.000 1.000 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.6168 0.31950 0.000 0.588 0.412
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.0000 0.95049 0.000 1.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.1964 0.90923 0.000 0.944 0.056
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.0000 0.98292 0.000 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.1964 0.92908 0.944 0.056 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.0424 0.96977 0.992 0.008 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.95049 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.95049 0.000 1.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.5810 0.48789 0.336 0.664 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.0000 0.98292 0.000 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.95049 0.000 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.98292 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 3 0.5859 0.46779 0.000 0.344 0.656
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.0000 0.98292 0.000 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 3 0.0000 0.98292 0.000 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.98292 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.98292 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.0000 0.95049 0.000 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.97572 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.98292 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.98292 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.95049 0.000 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.2261 0.91815 0.932 0.068 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 3 0.0000 0.98292 0.000 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.0000 0.95049 0.000 1.000 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.95049 0.000 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.95049 0.000 1.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.97572 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 3 0.0000 0.98292 0.000 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.95049 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.97572 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.95049 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.95049 0.000 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.0000 0.95049 0.000 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.95049 0.000 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.95049 0.000 1.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.95049 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.98292 0.000 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.0000 0.95049 0.000 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.98292 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.1860 0.91334 0.000 0.948 0.052
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.4796 0.71483 0.000 0.220 0.780
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.97572 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.95049 0.000 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.95049 0.000 1.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.97572 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.97572 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.97572 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3619 0.83249 0.000 0.864 0.136
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3551 0.83694 0.000 0.868 0.132
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.9402 0.000 0.000 1.000 0.000
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#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.3873 0.7144 0.000 0.772 0.000 0.228
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.3569 0.7562 0.000 0.804 0.000 0.196
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.4730 0.4750 0.000 0.636 0.000 0.364
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.2281 0.8535 0.000 0.904 0.000 0.096
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.4605 0.5343 0.000 0.664 0.000 0.336
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 4 0.4916 0.2333 0.424 0.000 0.000 0.576
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.4697 0.4339 0.000 0.356 0.644 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0817 0.9644 0.976 0.000 0.000 0.024
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.4356 0.6089 0.000 0.292 0.708 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.4948 0.2738 0.000 0.560 0.000 0.440
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.4888 0.2494 0.000 0.412 0.000 0.588
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.4855 0.3928 0.000 0.400 0.600 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3444 0.7625 0.000 0.816 0.000 0.184
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.2408 0.8517 0.000 0.104 0.896 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0592 0.9015 0.000 0.984 0.016 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0921 0.8926 0.000 0.972 0.028 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0921 0.8926 0.000 0.972 0.028 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0188 0.9314 0.000 0.004 0.000 0.996
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0707 0.8985 0.000 0.980 0.020 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.2281 0.8535 0.000 0.904 0.000 0.096
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0817 0.9644 0.976 0.000 0.000 0.024
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.4040 0.6857 0.000 0.752 0.000 0.248
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.0000 0.9315 0.000 0.000 0.000 1.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9402 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9682 1.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0336 0.9083 0.000 0.992 0.000 0.008
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.0817 0.9277 0.000 0.024 0.000 0.976
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0921 0.9615 0.972 0.000 0.000 0.028
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0817 0.9644 0.976 0.000 0.000 0.024
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4955 0.2197 0.556 0.000 0.000 0.444
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9122 0.000 1.000 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9122 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3999 0.5361 0.000 0.656 0.000 0.344 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3774 0.7204 0.704 0.000 0.000 0.000 0.296
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.1965 0.8349 0.000 0.904 0.000 0.096 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.4446 0.1074 0.000 0.520 0.476 0.000 0.004
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.2966 0.6472 0.000 0.000 0.000 0.816 0.184
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.0609 0.7387 0.000 0.000 0.000 0.020 0.980
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.4416 0.5273 0.000 0.012 0.000 0.632 0.356
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.5999 -0.0998 0.000 0.440 0.460 0.096 0.004
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0703 0.7236 0.000 0.024 0.000 0.976 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4101 0.6011 0.000 0.628 0.000 0.372 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.4045 0.0666 0.356 0.000 0.000 0.000 0.644
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.3967 0.5489 0.000 0.012 0.000 0.724 0.264
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 4 0.6299 0.2587 0.000 0.152 0.000 0.432 0.416
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.0162 0.7341 0.000 0.000 0.000 0.004 0.996
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 5 0.4305 0.1866 0.000 0.000 0.000 0.488 0.512
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 5 0.4397 0.2868 0.000 0.004 0.000 0.432 0.564
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.4451 0.1278 0.340 0.000 0.000 0.016 0.644
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.2230 0.6790 0.000 0.116 0.000 0.884 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0404 0.8418 0.000 0.988 0.000 0.012 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.2074 0.6902 0.000 0.104 0.000 0.896 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.0963 0.7227 0.000 0.036 0.000 0.964 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3966 0.6566 0.000 0.664 0.000 0.336 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.4063 0.5711 0.000 0.012 0.000 0.708 0.280
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0290 0.7211 0.000 0.000 0.000 0.992 0.008
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.2852 0.6561 0.000 0.000 0.000 0.828 0.172
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.4249 0.3526 0.000 0.000 0.000 0.432 0.568
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.3730 0.5209 0.000 0.000 0.000 0.712 0.288
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.4135 0.6496 0.000 0.656 0.000 0.340 0.004
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.2605 0.8179 0.000 0.852 0.000 0.148 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.2450 0.7063 0.000 0.076 0.000 0.896 0.028
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0404 0.8418 0.000 0.988 0.000 0.012 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.2891 0.8034 0.000 0.824 0.000 0.176 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 5 0.3305 0.7079 0.000 0.000 0.000 0.224 0.776
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.2127 0.7136 0.000 0.000 0.000 0.892 0.108
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4537 0.4468 0.000 0.012 0.000 0.592 0.396
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.3983 0.6922 0.660 0.000 0.000 0.000 0.340
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.3003 0.6432 0.000 0.000 0.000 0.812 0.188
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.4416 0.4304 0.000 0.012 0.000 0.356 0.632
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.0290 0.7211 0.000 0.000 0.000 0.992 0.008
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.4306 0.4341 0.000 0.012 0.000 0.328 0.660
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.4430 0.5206 0.000 0.012 0.000 0.628 0.360
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.4126 0.6476 0.620 0.000 0.000 0.000 0.380
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.3039 0.7347 0.000 0.000 0.000 0.192 0.808
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0404 0.8387 0.000 0.988 0.012 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.3210 0.6235 0.000 0.000 0.000 0.788 0.212
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.3612 0.7404 0.732 0.000 0.000 0.000 0.268
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 4 0.4086 0.5095 0.000 0.284 0.000 0.704 0.012
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.0290 0.7356 0.000 0.000 0.000 0.008 0.992
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.0693 0.7311 0.000 0.012 0.000 0.008 0.980
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.3707 0.7146 0.000 0.716 0.000 0.284 0.000
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#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.4118 0.6554 0.000 0.660 0.000 0.336 0.004
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.0162 0.7219 0.000 0.004 0.000 0.996 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3966 0.6566 0.000 0.664 0.000 0.336 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.1732 0.7920 0.000 0.920 0.080 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 5 0.2561 0.7544 0.000 0.000 0.000 0.144 0.856
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 5 0.2561 0.7544 0.000 0.000 0.000 0.144 0.856
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 4 0.6030 0.5703 0.000 0.196 0.000 0.580 0.224
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2516 0.8215 0.000 0.860 0.000 0.140 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.3452 0.6894 0.000 0.000 0.000 0.244 0.756
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4306 -0.1109 0.000 0.508 0.492 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.3480 0.5835 0.000 0.000 0.000 0.752 0.248
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0404 0.8418 0.000 0.988 0.000 0.012 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.2179 0.8319 0.000 0.888 0.000 0.112 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0404 0.8387 0.000 0.988 0.012 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.4341 0.4125 0.000 0.004 0.000 0.404 0.592
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0162 0.9402 0.000 0.000 0.996 0.000 0.004
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.3074 0.5868 0.000 0.196 0.000 0.804 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 5 0.2773 0.7480 0.000 0.000 0.000 0.164 0.836
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0404 0.8387 0.000 0.988 0.012 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.4300 -0.0486 0.000 0.000 0.000 0.524 0.476
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3586 0.5606 0.000 0.000 0.000 0.736 0.264
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.4300 -0.2266 0.000 0.476 0.000 0.524 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0404 0.8387 0.000 0.988 0.012 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.4331 0.0526 0.000 0.400 0.000 0.596 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.4201 0.6065 0.592 0.000 0.000 0.000 0.408
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.2516 0.6755 0.000 0.000 0.000 0.860 0.140
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.1732 0.8361 0.000 0.920 0.000 0.080 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4387 0.5331 0.000 0.012 0.000 0.640 0.348
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4297 -0.0307 0.000 0.000 0.000 0.528 0.472
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.3752 0.4051 0.000 0.292 0.000 0.708 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.1894 0.7139 0.000 0.072 0.000 0.920 0.008
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.1043 0.9217 0.000 0.040 0.960 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.4251 0.4197 0.000 0.012 0.000 0.316 0.672
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9403 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.2377 0.8259 0.000 0.872 0.000 0.128 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.2773 0.8126 0.000 0.836 0.000 0.164 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.8277 1.000 0.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.4832 0.5958 0.000 0.200 0.000 0.712 0.088
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.1197 0.7136 0.000 0.000 0.000 0.952 0.048
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.4371 0.0943 0.344 0.012 0.000 0.000 0.644
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 5 0.4210 -0.1337 0.412 0.000 0.000 0.000 0.588
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.3783 0.3811 0.252 0.000 0.000 0.008 0.740
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2516 0.8232 0.000 0.860 0.000 0.140 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0404 0.8418 0.000 0.988 0.000 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 6 0.6287 -0.01465 0.000 0.372 0.000 0.128 0.044 0.456
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 5 0.4797 0.50046 0.356 0.000 0.000 0.064 0.580 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.4199 0.54044 0.000 0.640 0.000 0.020 0.004 0.336
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5946 0.24346 0.000 0.356 0.524 0.032 0.012 0.076
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.3967 0.52232 0.000 0.000 0.000 0.632 0.012 0.356
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0717 0.91894 0.000 0.000 0.976 0.016 0.008 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.2883 0.55660 0.000 0.000 0.000 0.212 0.788 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.5229 0.44540 0.000 0.000 0.000 0.604 0.156 0.240
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 6 0.6906 0.02096 0.000 0.236 0.332 0.032 0.012 0.388
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 6 0.0865 0.68113 0.000 0.000 0.000 0.036 0.000 0.964
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 6 0.3217 0.54045 0.000 0.224 0.000 0.008 0.000 0.768
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.3456 0.65066 0.172 0.000 0.000 0.040 0.788 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.3912 0.60331 0.000 0.000 0.000 0.732 0.044 0.224
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 4 0.6512 0.40342 0.000 0.084 0.000 0.516 0.272 0.128
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.0865 0.63743 0.000 0.000 0.000 0.036 0.964 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.4238 0.53283 0.000 0.000 0.000 0.728 0.180 0.092
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3962 0.58860 0.000 0.000 0.000 0.764 0.120 0.116
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.4228 0.62971 0.072 0.000 0.000 0.212 0.716 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0717 0.91894 0.000 0.000 0.976 0.016 0.008 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 6 0.0777 0.70376 0.000 0.024 0.000 0.004 0.000 0.972
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.91992 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.0260 0.69442 0.000 0.000 0.000 0.008 0.000 0.992
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.0458 0.69194 0.000 0.000 0.000 0.016 0.000 0.984
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.3371 0.43822 0.000 0.292 0.000 0.000 0.000 0.708
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.5223 0.50155 0.000 0.000 0.000 0.592 0.136 0.272
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 6 0.3860 -0.26818 0.000 0.000 0.000 0.472 0.000 0.528
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.3944 0.45025 0.000 0.000 0.000 0.568 0.004 0.428
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.4144 0.51498 0.000 0.000 0.000 0.728 0.200 0.072
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.4498 0.56809 0.000 0.000 0.000 0.644 0.056 0.300
#> AA273C14-F561-46DA-A645-429A1112FC50 6 0.3970 0.46614 0.000 0.260 0.000 0.016 0.012 0.712
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.5200 0.26443 0.000 0.500 0.000 0.068 0.008 0.424
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.4124 0.34984 0.000 0.000 0.000 0.332 0.024 0.644
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 6 0.4465 -0.17551 0.000 0.472 0.000 0.020 0.004 0.504
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.3936 0.41663 0.000 0.000 0.000 0.688 0.288 0.024
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 6 0.5292 -0.12742 0.000 0.000 0.000 0.372 0.108 0.520
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.4650 0.54302 0.000 0.000 0.000 0.688 0.180 0.132
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.3769 0.45580 0.356 0.000 0.000 0.004 0.640 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.4092 0.53307 0.000 0.000 0.000 0.636 0.020 0.344
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.3388 0.53604 0.000 0.000 0.000 0.792 0.172 0.036
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 6 0.3843 -0.21678 0.000 0.000 0.000 0.452 0.000 0.548
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.91992 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.3377 0.52870 0.000 0.000 0.000 0.784 0.188 0.028
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.5325 0.46407 0.000 0.000 0.000 0.596 0.212 0.192
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.4460 0.56024 0.304 0.000 0.000 0.052 0.644 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.3986 0.36956 0.000 0.000 0.000 0.664 0.316 0.020
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.4205 0.46096 0.000 0.000 0.000 0.564 0.016 0.420
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0146 0.90965 0.996 0.000 0.000 0.004 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 5 0.4846 0.50216 0.356 0.000 0.000 0.068 0.576 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.5662 0.38775 0.000 0.100 0.000 0.272 0.036 0.592
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.2762 0.58497 0.000 0.000 0.000 0.196 0.804 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.3023 0.48768 0.000 0.000 0.000 0.232 0.768 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 6 0.3938 0.34803 0.000 0.324 0.000 0.016 0.000 0.660
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0717 0.91894 0.000 0.000 0.976 0.016 0.008 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.3884 0.47723 0.000 0.000 0.000 0.724 0.240 0.036
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.3899 0.16059 0.592 0.000 0.000 0.004 0.404 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.3136 0.61343 0.228 0.000 0.000 0.004 0.768 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 6 0.1910 0.60657 0.000 0.000 0.000 0.108 0.000 0.892
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0717 0.91894 0.000 0.000 0.976 0.016 0.008 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.4841 0.37579 0.000 0.000 0.000 0.508 0.056 0.436
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 6 0.4508 -0.04852 0.000 0.436 0.000 0.024 0.004 0.536
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 5 0.4047 0.55984 0.296 0.000 0.000 0.028 0.676 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.4587 0.53388 0.000 0.000 0.000 0.596 0.048 0.356
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.3868 0.17817 0.000 0.000 0.000 0.492 0.508 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 5 0.3076 0.48601 0.000 0.000 0.000 0.240 0.760 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 5 0.3315 0.65226 0.040 0.000 0.000 0.156 0.804 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 5 0.3319 0.61987 0.036 0.000 0.000 0.164 0.800 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 6 0.2146 0.66170 0.000 0.116 0.000 0.004 0.000 0.880
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4302 0.48878 0.000 0.608 0.000 0.020 0.004 0.368
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0363 0.80506 0.000 0.988 0.000 0.000 0.000 0.012
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.5371 0.46330 0.000 0.300 0.612 0.032 0.012 0.044
#> A07AEAE4-FB94-4902-9857-8686C61920E0 6 0.3189 0.53042 0.000 0.236 0.000 0.000 0.004 0.760
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 6 0.2442 0.63871 0.000 0.144 0.000 0.004 0.000 0.852
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.1814 0.60245 0.000 0.000 0.000 0.100 0.900 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.4750 0.39365 0.404 0.000 0.000 0.052 0.544 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.1387 0.78489 0.000 0.932 0.000 0.000 0.000 0.068
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 6 0.3215 0.52483 0.000 0.240 0.000 0.000 0.004 0.756
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.5394 0.40106 0.000 0.000 0.000 0.568 0.156 0.276
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#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.91992 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.3612 0.53209 0.000 0.000 0.000 0.780 0.168 0.052
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0146 0.90965 0.996 0.000 0.000 0.004 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.91992 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1151 0.91634 0.000 0.000 0.956 0.032 0.012 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 6 0.2325 0.66637 0.000 0.008 0.000 0.100 0.008 0.884
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4289 0.08343 0.000 0.000 0.000 0.556 0.424 0.020
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.4302 0.54485 0.000 0.000 0.000 0.728 0.156 0.116
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.4598 0.52894 0.000 0.000 0.000 0.592 0.048 0.360
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.1765 0.67700 0.000 0.096 0.000 0.000 0.000 0.904
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.80492 0.000 1.000 0.000 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 6 0.2361 0.66738 0.000 0.104 0.000 0.012 0.004 0.880
#> F6381259-41CC-432C-9EB3-C232663DFBE2 5 0.4703 0.63888 0.164 0.000 0.000 0.152 0.684 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.3847 0.40598 0.000 0.000 0.000 0.544 0.000 0.456
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4012 0.62397 0.000 0.712 0.000 0.024 0.008 0.256
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.4969 0.51023 0.000 0.000 0.000 0.648 0.156 0.196
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.4352 0.56299 0.000 0.000 0.000 0.724 0.128 0.148
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 6 0.1010 0.70595 0.000 0.036 0.000 0.004 0.000 0.960
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 6 0.2948 0.57422 0.000 0.000 0.000 0.188 0.008 0.804
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.2092 0.85108 0.000 0.124 0.876 0.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.4443 0.48261 0.000 0.000 0.000 0.664 0.276 0.060
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.91992 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4266 0.50429 0.000 0.620 0.000 0.020 0.004 0.356
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.4227 0.21348 0.000 0.500 0.000 0.008 0.004 0.488
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.91128 1.000 0.000 0.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.6886 -0.06884 0.000 0.092 0.000 0.380 0.144 0.384
#> D6FC41FB-370B-44C0-940C-862554ECB645 6 0.3737 -0.05015 0.000 0.000 0.000 0.392 0.000 0.608
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.3834 0.59075 0.232 0.000 0.000 0.036 0.732 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 5 0.4358 0.63919 0.092 0.000 0.000 0.196 0.712 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.3869 0.66513 0.128 0.000 0.000 0.100 0.772 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4427 0.37167 0.000 0.548 0.000 0.020 0.004 0.428
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.2393 0.76957 0.000 0.884 0.000 0.020 0.004 0.092
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["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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.988 0.996 0.5016 0.499 0.499
#> 3 3 0.787 0.811 0.839 0.2274 0.822 0.655
#> 4 4 0.796 0.811 0.910 0.1228 0.849 0.629
#> 5 5 0.911 0.867 0.932 0.0875 0.893 0.678
#> 6 6 0.820 0.739 0.874 0.0393 0.981 0.926
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.997 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.997 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.994 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.997 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.997 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.0000 0.994 1.000 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.997 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.994 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.994 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.994 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.997 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.997 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.997 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.997 0.000 1.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.994 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.0000 0.994 1.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.994 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.994 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.0000 0.994 1.000 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.0000 0.994 1.000 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.994 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.997 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.997 0.000 1.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.997 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.997 0.000 1.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.997 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.997 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.997 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.997 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.0000 0.994 1.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.997 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.994 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 1 0.0672 0.986 0.992 0.008
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.0000 0.994 1.000 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.994 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.994 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.0000 0.994 1.000 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.997 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.997 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.997 0.000 1.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.997 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.997 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.997 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.0000 0.994 1.000 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.0000 0.994 1.000 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0000 0.994 1.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.994 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.0000 0.994 1.000 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.994 1.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.994 1.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 1 0.3114 0.936 0.944 0.056
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.997 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.994 1.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.994 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.994 1.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.994 1.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.0000 0.994 1.000 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0000 0.997 0.000 1.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 1 0.0000 0.994 1.000 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.994 1.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.994 1.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.997 0.000 1.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.994 1.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.994 1.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.994 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.997 0.000 1.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.997 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.0000 0.994 1.000 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.994 1.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.994 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.997 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.997 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.0000 0.994 1.000 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.997 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.994 1.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.997 0.000 1.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.994 1.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.997 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 1 0.0000 0.994 1.000 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.994 1.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.994 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0000 0.994 1.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.994 1.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.0000 0.997 0.000 1.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.997 0.000 1.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0000 0.997 0.000 1.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.997 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.997 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.997 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.994 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.0000 0.997 0.000 1.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.994 1.000 0.000
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#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0000 0.997 0.000 1.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.0000 0.997 0.000 1.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0000 0.994 1.000 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.0000 0.997 0.000 1.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.0000 0.994 1.000 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.994 1.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.0000 0.994 1.000 0.000
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 1 0.0000 0.994 1.000 0.000
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.997 0.000 1.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.0000 0.994 1.000 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.994 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.994 1.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.0000 0.994 1.000 0.000
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.994 1.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0000 0.997 0.000 1.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.0000 0.994 1.000 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.994 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.997 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.994 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.994 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0000 0.997 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.997 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.997 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0000 0.997 0.000 1.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.997 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 1 0.0000 0.994 1.000 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.0000 0.994 1.000 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.997 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.994 1.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0000 0.994 1.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.997 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.994 1.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.997 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.997 0.000 1.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.994 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.997 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.997 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.997 0.000 1.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.997 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.994 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 1 0.0000 0.994 1.000 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.997 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.0000 0.994 1.000 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.994 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 1 0.0000 0.994 1.000 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.994 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.0000 0.997 0.000 1.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.0000 0.994 1.000 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.997 0.000 1.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0000 0.997 0.000 1.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.994 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.994 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.994 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.994 1.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.997 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.994 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.994 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.997 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.0000 0.994 1.000 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.997 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.997 0.000 1.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.994 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.997 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.997 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.994 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.997 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.994 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.994 1.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.997 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.994 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.994 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.997 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.997 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.994 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0000 0.994 1.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.994 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.994 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.997 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.997 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.997 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.994 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.994 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.997 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.997 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 1 0.0000 0.994 1.000 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.997 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.0376 0.994 0.004 0.996
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.997 0.000 1.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.997 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.0000 0.994 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.0000 0.994 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.9850 0.256 0.572 0.428
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.997 0.000 1.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0000 0.994 1.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.997 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 1 0.0000 0.994 1.000 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.997 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.997 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.997 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.997 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.997 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.997 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.994 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.994 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.997 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.997 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.997 0.000 1.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.0000 0.994 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.997 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.0000 0.994 1.000 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.0000 0.994 1.000 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.997 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.994 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.997 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.997 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.994 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.0000 0.994 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.997 0.000 1.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0000 0.994 1.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.0000 0.994 1.000 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.997 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.997 0.000 1.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.997 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.994 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.997 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.997 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.997 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.994 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.997 0.000 1.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.0000 0.994 1.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.994 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.994 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.994 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.997 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.997 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0237 0.8277 0.000 0.996 0.004
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.6286 0.8348 0.000 0.464 0.536
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9535 1.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2066 0.7919 0.000 0.940 0.060
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.6286 0.8348 0.000 0.464 0.536
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.1753 0.9227 0.952 0.000 0.048
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.6286 0.8348 0.000 0.464 0.536
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9535 1.000 0.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0237 0.9513 0.996 0.000 0.004
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9535 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.6286 0.8348 0.000 0.464 0.536
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.6286 0.8348 0.000 0.464 0.536
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 3 0.0237 0.3961 0.000 0.004 0.996
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.5948 -0.3564 0.000 0.640 0.360
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9535 1.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.0000 0.9535 1.000 0.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.6500 0.0421 0.464 0.532 0.004
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9535 1.000 0.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.5016 0.7662 0.760 0.000 0.240
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.0892 0.9415 0.980 0.000 0.020
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9535 1.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.6286 0.8348 0.000 0.464 0.536
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.6252 0.8168 0.000 0.444 0.556
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.6286 0.8348 0.000 0.464 0.536
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.8310 0.000 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.6095 0.7656 0.000 0.392 0.608
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.2448 0.4532 0.000 0.076 0.924
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.6286 0.8348 0.000 0.464 0.536
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.6286 0.8348 0.000 0.464 0.536
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.0000 0.9535 1.000 0.000 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.6286 0.8348 0.000 0.464 0.536
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9535 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 3 0.5363 0.0578 0.276 0.000 0.724
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 1 0.6267 0.5474 0.548 0.000 0.452
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9535 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9535 1.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.3192 0.8749 0.888 0.000 0.112
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.6286 0.8348 0.000 0.464 0.536
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.8310 0.000 1.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0237 0.8277 0.000 0.996 0.004
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.8310 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.8310 0.000 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.6286 0.8348 0.000 0.464 0.536
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.0000 0.9535 1.000 0.000 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.9371 0.2687 0.172 0.452 0.376
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0000 0.9535 1.000 0.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9535 1.000 0.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1529 0.9283 0.960 0.000 0.040
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.9535 1.000 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9535 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.2165 0.3363 0.064 0.000 0.936
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#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.6286 0.8348 0.000 0.464 0.536
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.9535 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.6280 0.5386 0.540 0.000 0.460
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.8310 0.000 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0000 0.9535 1.000 0.000 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.6192 0.5835 0.580 0.000 0.420
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.6286 0.8348 0.000 0.464 0.536
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.2625 0.7312 0.000 0.916 0.084
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2066 0.7919 0.000 0.940 0.060
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0237 0.9513 0.996 0.000 0.004
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.6286 0.8348 0.000 0.464 0.536
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.8310 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6286 0.8348 0.000 0.464 0.536
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9535 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0237 0.8277 0.000 0.996 0.004
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.6280 0.5386 0.540 0.000 0.460
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9535 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.9535 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9535 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.2066 0.7919 0.000 0.940 0.060
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.8310 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 3 0.4643 0.4379 0.000 0.344 0.656 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4877 0.3953 0.408 0.000 0.000 0.592
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4155 0.7003 0.756 0.240 0.000 0.004
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0188 0.8634 0.000 0.000 0.004 0.996
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 3 0.0817 0.8594 0.000 0.024 0.976 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.4837 0.1943 0.348 0.648 0.000 0.004
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.2814 0.7898 0.132 0.000 0.000 0.868
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.4877 0.2398 0.592 0.000 0.000 0.408
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.0592 0.8629 0.000 0.000 0.984 0.016
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.2149 0.7868 0.000 0.000 0.088 0.912
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.0469 0.9393 0.988 0.000 0.000 0.012
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.1716 0.8392 0.064 0.000 0.000 0.936
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.4776 0.3698 0.624 0.000 0.000 0.376
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.3801 0.6812 0.780 0.000 0.000 0.220
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4843 0.2368 0.000 0.604 0.000 0.396
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.1004 0.9261 0.972 0.024 0.000 0.004
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.1302 0.9090 0.956 0.000 0.000 0.044
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.0188 0.8634 0.000 0.000 0.004 0.996
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.4188 0.6952 0.752 0.244 0.000 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 3 0.4661 0.4272 0.000 0.348 0.652 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.3219 0.7666 0.836 0.000 0.000 0.164
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.0188 0.8634 0.000 0.000 0.004 0.996
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.2281 0.8629 0.904 0.000 0.000 0.096
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 3 0.4866 0.2550 0.000 0.404 0.596 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 3 0.0336 0.8698 0.000 0.000 0.992 0.008
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 3 0.1389 0.8399 0.000 0.048 0.952 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.5070 0.4218 0.580 0.416 0.000 0.004
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 3 0.1389 0.8315 0.000 0.000 0.952 0.048
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 3 0.4585 0.4640 0.000 0.332 0.668 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.2760 0.7311 0.000 0.000 0.128 0.872
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.3528 0.6148 0.000 0.808 0.000 0.192
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.3071 0.8168 0.044 0.068 0.000 0.888
#> 189E3660-4816-40D0-A0F7-39A958CB6599 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 4 0.5097 0.2603 0.004 0.000 0.428 0.568
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 3 0.0188 0.8739 0.000 0.004 0.996 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 3 0.4605 0.4559 0.000 0.336 0.664 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.4220 0.8354 0.000 0.748 0.248 0.004
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 1 0.4406 0.5308 0.700 0.000 0.000 0.300
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.0188 0.7057 0.000 0.996 0.000 0.004
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 3 0.1637 0.8217 0.000 0.060 0.940 0.000
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0188 0.9445 0.996 0.000 0.000 0.004
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#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 3 0.4992 0.0882 0.000 0.000 0.524 0.476
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 3 0.4585 0.4640 0.000 0.332 0.668 0.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.4040 0.8384 0.000 0.752 0.248 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.0188 0.7057 0.000 0.996 0.000 0.004
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.0592 0.8628 0.000 0.000 0.984 0.016
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0188 0.7057 0.000 0.996 0.000 0.004
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.4679 0.5107 0.352 0.000 0.000 0.648
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.0707 0.8591 0.000 0.000 0.980 0.020
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.4252 0.6855 0.744 0.252 0.000 0.004
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0188 0.8634 0.000 0.000 0.004 0.996
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.3311 0.6646 0.000 0.000 0.172 0.828
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.4925 0.1951 0.000 0.000 0.572 0.428
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.4888 0.3847 0.412 0.000 0.000 0.588
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.2589 0.7531 0.000 0.000 0.884 0.116
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.4661 0.4272 0.000 0.348 0.652 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.4331 0.5561 0.712 0.000 0.000 0.288
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.4406 0.5307 0.700 0.000 0.000 0.300
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0188 0.7057 0.000 0.996 0.000 0.004
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4967 0.2650 0.452 0.000 0.000 0.548
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4790 0.4616 0.380 0.000 0.000 0.620
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.2345 0.8150 0.100 0.000 0.000 0.900
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.0376 0.9420 0.992 0.004 0.000 0.004
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.1716 0.8392 0.064 0.000 0.000 0.936
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.2011 0.8104 0.000 0.080 0.920 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1557 0.6552 0.000 0.944 0.000 0.056
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.4585 0.4640 0.000 0.332 0.668 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.4018 0.7198 0.772 0.224 0.000 0.004
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4008 0.8443 0.000 0.756 0.244 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0000 0.8764 0.000 0.000 1.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.7081 0.000 1.000 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.0188 0.8657 0.004 0.000 0.000 0.996
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0188 0.9445 0.996 0.000 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0188 0.9435 0.996 0.000 0.000 0.004
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9463 1.000 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 3 0.4624 0.4476 0.000 0.340 0.660 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.4008 0.8443 0.000 0.756 0.244 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3876 0.46907 0.000 0.684 0.000 0.000 0.316
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0162 0.93600 0.996 0.000 0.000 0.000 0.004
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.1043 0.94441 0.000 0.960 0.040 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.4965 0.35295 0.404 0.004 0.000 0.568 0.024
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1792 0.88986 0.916 0.000 0.000 0.000 0.084
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.0794 0.86435 0.028 0.000 0.000 0.000 0.972
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0794 0.80612 0.000 0.000 0.028 0.972 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.3837 0.56467 0.000 0.692 0.308 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.0771 0.92964 0.976 0.004 0.000 0.000 0.020
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.0898 0.86736 0.008 0.020 0.000 0.000 0.972
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.2280 0.86016 0.880 0.000 0.000 0.000 0.120
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.1934 0.78767 0.052 0.004 0.000 0.928 0.016
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.4658 0.23671 0.576 0.000 0.000 0.408 0.016
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0404 0.93366 0.988 0.000 0.000 0.000 0.012
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.0579 0.93147 0.000 0.008 0.984 0.000 0.008
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.1059 0.91821 0.000 0.008 0.968 0.020 0.004
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.3231 0.66606 0.000 0.000 0.196 0.800 0.004
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.0290 0.94865 0.000 0.008 0.992 0.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.4473 0.40304 0.580 0.000 0.000 0.008 0.412
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0000 0.81261 0.000 0.000 0.000 1.000 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.2321 0.78214 0.056 0.008 0.000 0.912 0.024
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.0798 0.92929 0.976 0.000 0.000 0.008 0.016
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.3759 0.68067 0.764 0.000 0.000 0.220 0.016
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.4297 -0.00327 0.000 0.528 0.000 0.000 0.472
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
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#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.0794 0.92966 0.972 0.000 0.000 0.000 0.028
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.0162 0.94028 0.000 0.000 0.996 0.000 0.004
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.3398 0.64427 0.000 0.000 0.216 0.780 0.004
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0880 0.92585 0.968 0.000 0.000 0.000 0.032
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.1043 0.94441 0.000 0.960 0.040 0.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0510 0.93213 0.984 0.000 0.000 0.000 0.016
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0510 0.93213 0.984 0.000 0.000 0.000 0.016
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.1121 0.94237 0.000 0.956 0.044 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.93672 1.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.0798 0.92929 0.976 0.000 0.000 0.008 0.016
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.93672 1.000 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1121 0.94237 0.000 0.956 0.044 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.3989 0.59032 0.000 0.008 0.728 0.260 0.004
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.3534 0.67734 0.000 0.256 0.744 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.5160 0.15162 0.476 0.008 0.000 0.492 0.024
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.0740 0.93148 0.000 0.008 0.980 0.004 0.008
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.0794 0.96306 0.000 0.028 0.972 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.1043 0.94441 0.000 0.960 0.040 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.1300 0.91654 0.956 0.000 0.000 0.028 0.016
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.1300 0.91654 0.956 0.000 0.000 0.028 0.016
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 5 0.1043 0.86442 0.000 0.040 0.000 0.000 0.960
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.0566 0.93298 0.984 0.000 0.000 0.004 0.012
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4974 0.08537 0.484 0.004 0.000 0.492 0.020
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.2377 0.86215 0.000 0.128 0.872 0.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0162 0.93679 0.996 0.000 0.000 0.000 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4674 0.32699 0.416 0.000 0.000 0.568 0.016
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.1278 0.80671 0.020 0.004 0.000 0.960 0.016
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0671 0.81159 0.004 0.000 0.000 0.980 0.016
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.0162 0.94533 0.000 0.004 0.996 0.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0162 0.94533 0.000 0.004 0.996 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0671 0.93057 0.980 0.000 0.000 0.004 0.016
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0000 0.81261 0.000 0.000 0.000 1.000 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.4310 0.44964 0.604 0.004 0.000 0.000 0.392
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.1469 0.80006 0.036 0.000 0.000 0.948 0.016
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.2929 0.79840 0.000 0.820 0.180 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 5 0.6536 0.35015 0.000 0.320 0.000 0.216 0.464
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.1121 0.94237 0.000 0.956 0.044 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.1043 0.85191 0.040 0.000 0.000 0.000 0.960
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0880 0.96567 0.000 0.032 0.968 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0162 0.93600 0.996 0.000 0.000 0.000 0.004
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.1908 0.82798 0.000 0.092 0.000 0.000 0.908
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.0510 0.81203 0.000 0.000 0.000 0.984 0.016
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2179 0.86720 0.888 0.000 0.000 0.000 0.112
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0671 0.93057 0.980 0.000 0.000 0.004 0.016
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0290 0.93628 0.992 0.000 0.000 0.000 0.008
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.1270 0.93536 0.000 0.948 0.052 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0404 0.94786 0.000 0.988 0.012 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.3797 0.24161 0.000 0.580 0.000 0.000 0.420 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0622 0.86918 0.980 0.000 0.000 0.012 0.000 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.5702 0.29461 0.324 0.000 0.000 0.496 0.000 0.180
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0881 0.86939 0.972 0.000 0.000 0.008 0.012 0.008
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.0000 0.88259 0.000 0.000 0.000 0.000 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0291 0.86845 0.992 0.000 0.000 0.004 0.000 0.004
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4103 0.11931 0.000 0.004 0.004 0.544 0.000 0.448
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.3288 0.56349 0.000 0.724 0.276 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0146 0.86812 0.996 0.000 0.000 0.004 0.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.4142 0.68718 0.712 0.000 0.000 0.232 0.000 0.056
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 5 0.0000 0.88259 0.000 0.000 0.000 0.000 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1408 0.86155 0.944 0.000 0.000 0.020 0.036 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.1753 0.45787 0.084 0.000 0.000 0.912 0.000 0.004
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.4181 -0.12600 0.476 0.000 0.000 0.512 0.000 0.012
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.2201 0.84300 0.900 0.000 0.000 0.052 0.000 0.048
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.3862 0.01506 0.000 0.000 0.524 0.000 0.000 0.476
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.3915 0.34525 0.000 0.004 0.412 0.000 0.000 0.584
#> BFF05691-3DC6-4666-A586-5DA826190D0C 6 0.5681 0.26409 0.000 0.004 0.144 0.360 0.000 0.492
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.1858 0.81774 0.000 0.004 0.904 0.000 0.000 0.092
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.6165 0.25828 0.472 0.000 0.000 0.236 0.280 0.012
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0146 0.86798 0.996 0.000 0.000 0.000 0.000 0.004
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3126 0.38009 0.000 0.000 0.000 0.752 0.000 0.248
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.4702 0.13901 0.044 0.000 0.000 0.496 0.000 0.460
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.86793 1.000 0.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5255 0.42048 0.588 0.000 0.000 0.140 0.000 0.272
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.4897 0.14579 0.492 0.000 0.000 0.448 0.000 0.060
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.0260 0.91365 0.000 0.008 0.992 0.000 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0622 0.94670 0.000 0.980 0.012 0.000 0.000 0.008
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.5318 0.15972 0.000 0.524 0.000 0.008 0.384 0.084
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.94577 0.000 1.000 0.000 0.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.4078 0.61028 0.656 0.000 0.000 0.320 0.000 0.024
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.3564 0.62817 0.000 0.000 0.000 0.264 0.724 0.012
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.4397 -0.01011 0.452 0.000 0.000 0.012 0.528 0.008
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0692 0.86642 0.976 0.000 0.000 0.004 0.020 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 6 0.5561 -0.10491 0.424 0.000 0.000 0.136 0.000 0.440
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.1461 0.85863 0.940 0.000 0.000 0.016 0.000 0.044
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0405 0.86815 0.988 0.000 0.000 0.004 0.000 0.008
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.3810 0.21195 0.000 0.000 0.000 0.572 0.000 0.428
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.1257 0.86255 0.952 0.000 0.000 0.028 0.000 0.020
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 5 0.0000 0.88259 0.000 0.000 0.000 0.000 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0520 0.86863 0.984 0.000 0.000 0.008 0.000 0.008
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.0820 0.86900 0.972 0.000 0.000 0.016 0.000 0.012
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.4202 0.68656 0.712 0.000 0.000 0.224 0.000 0.064
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.1765 0.46397 0.000 0.000 0.000 0.904 0.000 0.096
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0508 0.86806 0.984 0.000 0.000 0.004 0.000 0.012
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.2046 0.84398 0.908 0.000 0.000 0.032 0.000 0.060
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.4184 0.01427 0.000 0.504 0.000 0.000 0.484 0.012
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.86793 1.000 0.000 0.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.1480 0.85906 0.940 0.000 0.000 0.040 0.000 0.020
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.2135 0.80436 0.872 0.000 0.000 0.000 0.128 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1007 0.92691 0.000 0.956 0.044 0.000 0.000 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 1 0.4675 0.47336 0.580 0.000 0.000 0.368 0.000 0.052
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#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0405 0.86815 0.988 0.000 0.000 0.004 0.000 0.008
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2282 0.84131 0.888 0.000 0.000 0.088 0.000 0.024
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0547 0.94581 0.000 0.980 0.020 0.000 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0405 0.86815 0.988 0.000 0.000 0.004 0.000 0.008
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.4142 0.68954 0.712 0.000 0.000 0.232 0.000 0.056
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.86793 1.000 0.000 0.000 0.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0405 0.86815 0.988 0.000 0.000 0.004 0.000 0.008
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0865 0.93447 0.000 0.964 0.036 0.000 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0405 0.86815 0.988 0.000 0.000 0.004 0.000 0.008
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0146 0.86812 0.996 0.000 0.000 0.004 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.4245 0.47334 0.000 0.004 0.256 0.044 0.000 0.696
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.2996 0.58537 0.000 0.228 0.772 0.000 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.5642 0.20297 0.152 0.000 0.000 0.460 0.000 0.388
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.4427 0.06886 0.004 0.000 0.548 0.020 0.000 0.428
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.1285 0.86551 0.000 0.004 0.944 0.000 0.000 0.052
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0363 0.94855 0.000 0.988 0.012 0.000 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.3915 0.43264 0.584 0.000 0.000 0.412 0.000 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.4393 0.31781 0.524 0.000 0.000 0.452 0.000 0.024
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 5 0.0000 0.88259 0.000 0.000 0.000 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4897 0.47226 0.616 0.000 0.000 0.092 0.000 0.292
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0260 0.94885 0.000 0.992 0.008 0.000 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4747 0.24070 0.356 0.000 0.000 0.584 0.000 0.060
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.1663 0.82204 0.000 0.088 0.912 0.000 0.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.1867 0.84524 0.916 0.000 0.000 0.020 0.000 0.064
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0891 0.86532 0.968 0.000 0.000 0.008 0.000 0.024
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1168 0.93206 0.000 0.956 0.016 0.000 0.000 0.028
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4236 0.33957 0.308 0.000 0.000 0.656 0.000 0.036
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.3901 0.42464 0.096 0.000 0.000 0.768 0.000 0.136
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.1610 0.46602 0.000 0.000 0.000 0.916 0.000 0.084
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.2053 0.78964 0.000 0.004 0.888 0.000 0.000 0.108
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.86793 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0000 0.90517 0.000 0.000 1.000 0.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.3023 0.75395 0.784 0.000 0.000 0.212 0.000 0.004
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.3126 0.38887 0.000 0.000 0.000 0.752 0.000 0.248
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.6400 0.38927 0.532 0.000 0.000 0.136 0.260 0.072
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.3367 0.44608 0.104 0.000 0.000 0.816 0.000 0.080
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5296 0.37744 0.000 0.600 0.184 0.000 0.000 0.216
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 5 0.7333 0.04925 0.000 0.124 0.000 0.256 0.388 0.232
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0937 0.93081 0.000 0.960 0.040 0.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.0937 0.84203 0.040 0.000 0.000 0.000 0.960 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.0363 0.91784 0.000 0.012 0.988 0.000 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.1219 0.86348 0.948 0.000 0.000 0.048 0.000 0.004
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.0993 0.86087 0.000 0.024 0.000 0.000 0.964 0.012
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.1910 0.46208 0.000 0.000 0.000 0.892 0.000 0.108
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0777 0.86411 0.972 0.000 0.000 0.000 0.024 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.3245 0.73632 0.764 0.000 0.000 0.228 0.000 0.008
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1333 0.85844 0.944 0.000 0.000 0.008 0.000 0.048
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.1141 0.91869 0.000 0.948 0.052 0.000 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0146 0.94889 0.000 0.996 0.004 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "pam"]
# you can also extract it by
# res = res_list["ATC:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.928 0.917 0.964 0.4435 0.547 0.547
#> 3 3 0.757 0.883 0.945 0.4104 0.811 0.659
#> 4 4 0.790 0.839 0.928 0.1683 0.761 0.455
#> 5 5 0.765 0.741 0.821 0.0760 0.884 0.602
#> 6 6 0.822 0.689 0.861 0.0461 0.908 0.611
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9770 0.000 1.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.9770 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0000 0.9325 1.000 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9770 0.000 1.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.9770 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.2043 0.9602 0.032 0.968
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.9770 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.0000 0.9325 1.000 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4939 0.8778 0.108 0.892
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9325 1.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.9770 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.9770 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0376 0.9750 0.004 0.996
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.9770 0.000 1.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.0000 0.9325 1.000 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.2236 0.9571 0.036 0.964
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.9460 0.4424 0.636 0.364
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.9325 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.3733 0.9207 0.072 0.928
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.9944 0.0945 0.456 0.544
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0000 0.9325 1.000 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.9770 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.9770 0.000 1.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.9770 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.9770 0.000 1.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9770 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.9770 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.9770 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.9770 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.2043 0.9602 0.032 0.968
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.9770 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9325 1.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.2043 0.9602 0.032 0.968
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.2043 0.9602 0.032 0.968
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9325 1.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.9815 0.3444 0.580 0.420
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 1 0.9815 0.3444 0.580 0.420
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.9770 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9770 0.000 1.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.1843 0.9625 0.028 0.972
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9770 0.000 1.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9770 0.000 1.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.9770 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 1 0.0376 0.9295 0.996 0.004
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.2043 0.9602 0.032 0.968
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.8443 0.6124 0.272 0.728
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.9325 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.2043 0.9602 0.032 0.968
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.9922 0.1267 0.448 0.552
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9325 1.000 0.000
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#> B825A701-47BD-4C83-8AA5-42E77210C31F 2 0.2043 0.9602 0.032 0.968
#> D8B8C8E9-1018-426C-8160-8190AAF0777A 1 0.0000 0.9325 1.000 0.000
#> DA3B508B-E00B-4456-99EB-E604E7A68135 2 0.0000 0.9770 0.000 1.000
#> 146FF141-8EF0-4FBE-A11F-6F644E986581 1 0.9209 0.5312 0.664 0.336
#> 92B8BA55-0359-42F3-AD4F-7493A6DB8E6F 1 0.9580 0.4413 0.620 0.380
#> 70AD96AB-52C2-4E0B-8F29-9EA494DE42F8 1 0.0000 0.9325 1.000 0.000
#> 91BA307E-5C60-4142-8425-19182DE09A48 2 0.0000 0.9770 0.000 1.000
#> 523A80E7-95E8-4E89-AA62-FCAA015BDF68 1 0.0000 0.9325 1.000 0.000
#> 495095C5-F706-42A7-A2FF-5C708A659773 2 0.0000 0.9770 0.000 1.000
#> CA327F97-CE4D-4175-9857-651C8F56772D 2 0.2043 0.9602 0.032 0.968
#> 417360FD-18DF-463E-B496-FCD49F29CE50 2 0.0000 0.9770 0.000 1.000
#> 82FE3178-5681-44D7-8B18-D2FD764782FD 2 0.0000 0.9770 0.000 1.000
#> 21DE3A97-8B43-4078-8CC6-7C78D5AD93F4 2 0.2423 0.9537 0.040 0.960
#> DD9D5964-3E96-4ACC-ACB2-D1AE5DE3BEE0 1 0.0000 0.9325 1.000 0.000
#> DC3C3FA1-7742-4D50-812C-418B5035E30F 2 0.0000 0.9770 0.000 1.000
#> D361F7B1-6CF3-472E-B081-B606327DABCA 2 0.0000 0.9770 0.000 1.000
#> 58BA322C-EC09-4A4D-A44A-65C0ED975A4D 2 0.0000 0.9770 0.000 1.000
#> 821E3D5D-5BAC-415B-B722-AE97A23D142C 1 0.9710 0.3954 0.600 0.400
#> 3076973D-97E4-4E3E-BA81-910F8B505E06 2 0.2043 0.9602 0.032 0.968
#> 2E0B5BC2-28D6-48CE-B302-4333747CB009 2 0.0000 0.9770 0.000 1.000
#> 24FE253B-BC9F-48FE-84C4-33AA8EF99641 2 0.0000 0.9770 0.000 1.000
#> 1B1ABFE9-C01E-489E-856A-CD3DD3D100C0 2 0.0000 0.9770 0.000 1.000
#> 9E7E4BB2-2F91-4217-A8F0-AA891F2944C6 2 0.2043 0.9602 0.032 0.968
#> EAC2BC63-683A-44E1-90B9-9096AEB44949 2 0.0000 0.9770 0.000 1.000
#> 79C6F42B-6BC4-43FD-831B-200DF3AE2C30 2 0.0000 0.9770 0.000 1.000
#> 61C2C466-6680-42B2-8050-A597FC78A066 2 0.2043 0.9602 0.032 0.968
#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 2 0.2043 0.9602 0.032 0.968
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 1 0.9686 0.4044 0.604 0.396
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.9325 1.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.9963 0.2067 0.536 0.464
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 2 0.7299 0.7393 0.204 0.796
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 2 0.2043 0.9602 0.032 0.968
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.0000 0.9770 0.000 1.000
#> 678726DB-073F-466D-916A-7982944A81BA 2 0.6438 0.8017 0.164 0.836
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0000 0.9770 0.000 1.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.0000 0.9770 0.000 1.000
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 2 0.0000 0.9770 0.000 1.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.9770 0.000 1.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0000 0.9325 1.000 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 2 0.0000 0.9770 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 2 0.2043 0.9602 0.032 0.968
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.0000 0.9325 1.000 0.000
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 2 0.2043 0.9602 0.032 0.968
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.2043 0.9602 0.032 0.968
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 2 0.0000 0.9770 0.000 1.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.0000 0.9770 0.000 1.000
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0000 0.9770 0.000 1.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 2 0.0000 0.9770 0.000 1.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.0000 0.9770 0.000 1.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0000 0.9770 0.000 1.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.0000 0.9770 0.000 1.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.0000 0.9325 1.000 0.000
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.0000 0.9770 0.000 1.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 1 0.0000 0.9325 1.000 0.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.9325 1.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 2 0.2043 0.9602 0.032 0.968
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 2 0.2236 0.9571 0.036 0.964
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.9770 0.000 1.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 2 0.9775 0.2524 0.412 0.588
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.0000 0.9325 1.000 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.0000 0.9325 1.000 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.0000 0.9325 1.000 0.000
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.9325 1.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0000 0.9770 0.000 1.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.0000 0.9325 1.000 0.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.0000 0.9325 1.000 0.000
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 2 0.0000 0.9770 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.9325 1.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0000 0.9325 1.000 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.0000 0.9770 0.000 1.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.9770 0.000 1.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.0000 0.9770 0.000 1.000
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0000 0.9770 0.000 1.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.9770 0.000 1.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.2043 0.9602 0.032 0.968
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.0000 0.9325 1.000 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 2 0.0000 0.9770 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.9754 0.3758 0.592 0.408
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0000 0.9325 1.000 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0000 0.9770 0.000 1.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0000 0.9325 1.000 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.9770 0.000 1.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.9770 0.000 1.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0000 0.9325 1.000 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.0000 0.9770 0.000 1.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9770 0.000 1.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.9770 0.000 1.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.9770 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.9325 1.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.2043 0.9602 0.032 0.968
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 2 0.0000 0.9770 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.2603 0.9501 0.044 0.956
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0000 0.9325 1.000 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.2043 0.9602 0.032 0.968
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0000 0.9325 1.000 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.2043 0.9602 0.032 0.968
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.0000 0.9325 1.000 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.9770 0.000 1.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.2043 0.9602 0.032 0.968
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.9754 0.3758 0.592 0.408
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.9323 0.5085 0.652 0.348
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9325 1.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.9209 0.5312 0.664 0.336
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.9770 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0000 0.9325 1.000 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.0000 0.9325 1.000 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0672 0.9730 0.008 0.992
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.2603 0.9501 0.044 0.956
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.0000 0.9770 0.000 1.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.9770 0.000 1.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0000 0.9325 1.000 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.9770 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.9770 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.9325 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.0000 0.9770 0.000 1.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9325 1.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.0000 0.9325 1.000 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.9770 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9325 1.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.9325 1.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.9770 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0000 0.9770 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9325 1.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.5629 0.8142 0.868 0.132
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.9325 1.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9325 1.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.9770 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.9770 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.0000 0.9770 0.000 1.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9325 1.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9325 1.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.9770 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.9770 0.000 1.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.2043 0.9602 0.032 0.968
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.9770 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.2043 0.9602 0.032 0.968
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.9770 0.000 1.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.9770 0.000 1.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.0000 0.9325 1.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.0000 0.9325 1.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.2043 0.9602 0.032 0.968
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9770 0.000 1.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.9754 0.3758 0.592 0.408
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.0000 0.9770 0.000 1.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.2043 0.9602 0.032 0.968
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.9770 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9770 0.000 1.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9770 0.000 1.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9770 0.000 1.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.9770 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.9770 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.9754 0.3758 0.592 0.408
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9325 1.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.9770 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.9770 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.9770 0.000 1.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.0000 0.9325 1.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.9770 0.000 1.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.9983 0.0135 0.476 0.524
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.2043 0.9602 0.032 0.968
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.9770 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9325 1.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.9770 0.000 1.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9770 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.9325 1.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.2043 0.9602 0.032 0.968
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.9770 0.000 1.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.2043 0.9602 0.032 0.968
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.9427 0.4054 0.360 0.640
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9770 0.000 1.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1843 0.9625 0.028 0.972
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0000 0.9770 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.9754 0.3758 0.592 0.408
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.9770 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9770 0.000 1.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.9770 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9325 1.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.2043 0.9602 0.032 0.968
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.2043 0.9602 0.032 0.968
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.9325 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.9325 1.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.9325 1.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9770 0.000 1.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9770 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.924 0.000 1.000 0.000
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#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0000 0.935 1.000 0.000 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.964 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.964 0.000 0.000 1.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.935 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 1 0.1289 0.909 0.968 0.032 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.935 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.935 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.2537 0.892 0.000 0.080 0.920
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.964 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.4605 0.777 0.000 0.204 0.796
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.935 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.935 1.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.924 0.000 1.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.924 0.000 1.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.4178 0.810 0.172 0.828 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.1163 0.911 0.000 0.972 0.028
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.0424 0.922 0.008 0.992 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.924 0.000 1.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 3 0.5835 0.535 0.000 0.340 0.660
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.0000 0.935 1.000 0.000 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 1 0.0000 0.935 1.000 0.000 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.0000 0.924 0.000 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.924 0.000 1.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.5397 0.620 0.720 0.280 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 3 0.4399 0.797 0.000 0.188 0.812
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.4178 0.810 0.172 0.828 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.964 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.1753 0.899 0.000 0.952 0.048
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.1753 0.899 0.000 0.952 0.048
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1753 0.899 0.000 0.952 0.048
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.964 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.964 0.000 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.5591 0.580 0.696 0.304 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.935 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.964 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.964 0.000 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.0000 0.924 0.000 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.0000 0.935 1.000 0.000 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.1753 0.899 0.000 0.952 0.048
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.6079 0.380 0.612 0.388 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.4291 0.801 0.180 0.820 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.924 0.000 1.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.935 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1753 0.899 0.000 0.952 0.048
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.924 0.000 1.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.0000 0.935 1.000 0.000 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.4178 0.810 0.172 0.828 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.924 0.000 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.4002 0.821 0.160 0.840 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.6062 0.415 0.384 0.616 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.924 0.000 1.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.924 0.000 1.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.964 0.000 0.000 1.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.5621 0.572 0.692 0.308 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.964 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.924 0.000 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0892 0.915 0.000 0.980 0.020
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.935 1.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.924 0.000 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.924 0.000 1.000 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.935 1.000 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.0000 0.935 1.000 0.000 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0000 0.935 1.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0592 0.919 0.000 0.988 0.012
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.924 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.3726 0.7725 0.788 0.000 0.000 0.212
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.4193 0.6369 0.000 0.268 0.000 0.732
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4643 0.4898 0.000 0.344 0.656 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0188 0.9603 0.000 0.004 0.996 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.3219 0.7658 0.000 0.836 0.000 0.164
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.2760 0.8753 0.872 0.000 0.000 0.128
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.3074 0.7843 0.000 0.848 0.000 0.152
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.3486 0.6950 0.188 0.000 0.000 0.812
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.3873 0.7792 0.772 0.000 0.000 0.228
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.4406 0.5410 0.000 0.700 0.000 0.300
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.1792 0.8430 0.000 0.068 0.000 0.932
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.2814 0.7995 0.000 0.132 0.000 0.868
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0336 0.9320 0.000 0.992 0.008 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.3907 0.6602 0.000 0.768 0.000 0.232
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4877 0.2336 0.000 0.592 0.000 0.408
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0469 0.9135 0.988 0.000 0.000 0.012
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> F1933C33-752A-40B8-B776-84A5EA7F1566 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.2814 0.7998 0.000 0.132 0.000 0.868
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.4981 0.1912 0.000 0.464 0.000 0.536
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.1637 0.9050 0.940 0.000 0.000 0.060
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.0592 0.8696 0.000 0.016 0.000 0.984
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4250 0.7076 0.724 0.000 0.000 0.276
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.2921 0.7477 0.140 0.000 0.000 0.860
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0469 0.9135 0.988 0.000 0.000 0.012
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.3311 0.8405 0.828 0.000 0.000 0.172
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.4981 0.2089 0.000 0.464 0.000 0.536
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.2814 0.8006 0.000 0.132 0.000 0.868
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.2589 0.8832 0.884 0.000 0.000 0.116
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.1022 0.8635 0.000 0.032 0.000 0.968
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.4477 0.4297 0.312 0.000 0.000 0.688
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.3528 0.8208 0.808 0.000 0.000 0.192
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.4898 0.2662 0.000 0.584 0.416 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.3907 0.7721 0.768 0.000 0.000 0.232
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.2704 0.8323 0.000 0.876 0.124 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0469 0.9135 0.988 0.000 0.000 0.012
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 4 0.4996 0.0862 0.000 0.484 0.000 0.516
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0000 0.9642 0.000 0.000 1.000 0.000
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#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 4 0.0921 0.8655 0.000 0.028 0.000 0.972
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 4 0.3444 0.7451 0.000 0.184 0.000 0.816
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 4 0.2469 0.8212 0.000 0.108 0.000 0.892
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 678726DB-073F-466D-916A-7982944A81BA 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0336 0.9135 0.992 0.000 0.000 0.008
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 4 0.2704 0.8055 0.000 0.124 0.000 0.876
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.2760 0.8756 0.872 0.000 0.000 0.128
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.4605 0.4682 0.000 0.664 0.000 0.336
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.2760 0.8277 0.000 0.872 0.128 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.3219 0.8439 0.836 0.000 0.000 0.164
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 4 0.4356 0.6137 0.000 0.292 0.000 0.708
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 577E5B95-C657-43E4-955A-4E5152901661 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 445376A2-DB83-4BF9-923A-3057D7994097 4 0.4999 0.0617 0.000 0.492 0.000 0.508
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 4 0.3444 0.6953 0.184 0.000 0.000 0.816
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.3400 0.8295 0.820 0.000 0.000 0.180
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 1 0.4985 0.3086 0.532 0.000 0.000 0.468
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 1 0.2345 0.8897 0.900 0.000 0.000 0.100
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.0188 0.9135 0.996 0.000 0.000 0.004
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 2 0.3074 0.8018 0.000 0.848 0.152 0.000
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 2 0.3024 0.7870 0.000 0.852 0.000 0.148
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.4933 0.2646 0.000 0.568 0.432 0.000
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.4907 0.2519 0.000 0.580 0.000 0.420
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 4 0.4624 0.3744 0.340 0.000 0.000 0.660
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.2011 0.8990 0.920 0.000 0.000 0.080
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.1118 0.9078 0.964 0.000 0.000 0.036
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.1211 0.9078 0.960 0.000 0.000 0.040
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.4164 0.7326 0.736 0.000 0.000 0.264
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 4 0.2589 0.8117 0.000 0.116 0.000 0.884
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.4679 0.4518 0.000 0.648 0.000 0.352
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.2530 0.8837 0.888 0.000 0.000 0.112
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 4 0.1867 0.8401 0.000 0.072 0.000 0.928
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0469 0.9135 0.988 0.000 0.000 0.012
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 2 0.2216 0.8547 0.000 0.908 0.000 0.092
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 4 0.3074 0.7798 0.000 0.152 0.000 0.848
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 4 0.0188 0.8668 0.004 0.000 0.000 0.996
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.4477 0.5118 0.000 0.688 0.000 0.312
#> 93C1A410-3517-4019-A00F-B46F05A8B514 4 0.0592 0.8697 0.000 0.016 0.000 0.984
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4855 0.4684 0.600 0.000 0.000 0.400
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0921 0.9166 0.000 0.972 0.000 0.028
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.4382 0.6761 0.704 0.000 0.000 0.296
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.4406 0.5822 0.000 0.300 0.700 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.0469 0.9135 0.988 0.000 0.000 0.012
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0592 0.9136 0.984 0.000 0.000 0.016
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.1867 0.8919 0.000 0.072 0.928 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.4989 0.0597 0.000 0.472 0.528 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.4564 0.5492 0.000 0.328 0.000 0.672
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0336 0.9320 0.000 0.992 0.008 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.4661 0.5266 0.000 0.348 0.000 0.652
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.2647 0.8364 0.000 0.880 0.120 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.2081 0.8645 0.000 0.916 0.000 0.084
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4907 0.2998 0.000 0.580 0.420 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.1716 0.8838 0.000 0.936 0.000 0.064
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.0000 0.8686 0.000 0.000 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0469 0.9303 0.000 0.988 0.012 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.4522 0.4596 0.320 0.000 0.000 0.680
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.0707 0.8683 0.000 0.020 0.000 0.980
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.2216 0.8292 0.000 0.092 0.000 0.908
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.0469 0.8706 0.000 0.012 0.000 0.988
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0188 0.9336 0.000 0.996 0.004 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0000 0.9133 1.000 0.000 0.000 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.0000 0.9349 0.000 1.000 0.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3219 0.7817 0.000 0.164 0.000 0.836
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2589 0.8810 0.884 0.000 0.000 0.116
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.4543 0.6145 0.676 0.000 0.000 0.324
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4941 0.3879 0.564 0.000 0.000 0.436
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0188 0.9336 0.000 0.996 0.004 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9349 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.2471 0.6746 0.864 0.000 0.000 0.000 0.136
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
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#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 5 0.0510 0.7921 0.016 0.000 0.000 0.000 0.984
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.3274 0.5823 0.780 0.000 0.000 0.000 0.220
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.3863 0.6125 0.772 0.000 0.000 0.028 0.200
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 4 0.4367 0.7685 0.000 0.372 0.000 0.620 0.008
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.3143 0.5984 0.796 0.000 0.000 0.000 0.204
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.1197 0.7420 0.952 0.000 0.000 0.000 0.048
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 5 0.5114 -0.2670 0.000 0.036 0.000 0.476 0.488
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.3932 0.4284 0.000 0.672 0.000 0.000 0.328
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.0794 0.7465 0.972 0.000 0.000 0.000 0.028
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 5 0.4505 0.2320 0.008 0.004 0.000 0.368 0.620
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.1608 0.7574 0.928 0.000 0.000 0.072 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 4 0.4808 0.7692 0.000 0.348 0.000 0.620 0.032
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 5 0.2424 0.7408 0.132 0.000 0.000 0.000 0.868
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0510 0.9056 0.000 0.984 0.000 0.000 0.016
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.3391 0.6835 0.012 0.188 0.000 0.000 0.800
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.3837 0.5380 0.308 0.000 0.000 0.000 0.692
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.2377 0.7330 0.128 0.000 0.000 0.000 0.872
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.3612 0.5932 0.268 0.000 0.000 0.000 0.732
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.5693 0.7392 0.000 0.236 0.000 0.620 0.144
#> 93C1A410-3517-4019-A00F-B46F05A8B514 5 0.1121 0.7810 0.000 0.044 0.000 0.000 0.956
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.4302 -0.1630 0.520 0.000 0.000 0.000 0.480
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.5156 0.7652 0.000 0.320 0.000 0.620 0.060
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.4294 -0.1341 0.532 0.000 0.000 0.000 0.468
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.3906 0.7345 0.704 0.000 0.000 0.292 0.004
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.3816 0.5444 0.304 0.000 0.000 0.000 0.696
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 4 0.5341 0.7327 0.000 0.300 0.080 0.620 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2719 0.7538 0.852 0.000 0.000 0.144 0.004
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.0609 0.7902 0.020 0.000 0.000 0.000 0.980
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0162 0.7523 0.996 0.000 0.000 0.004 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.2690 0.7775 0.000 0.156 0.844 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.4297 0.1230 0.000 0.472 0.528 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.5733 0.7049 0.000 0.160 0.000 0.620 0.220
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2020 0.7818 0.000 0.900 0.000 0.100 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.2966 0.6583 0.000 0.000 0.000 0.184 0.816
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.5129 0.5830 0.000 0.056 0.000 0.616 0.328
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.4210 -0.2720 0.000 0.588 0.000 0.412 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0963 0.8863 0.000 0.964 0.036 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 5 0.3774 0.5562 0.296 0.000 0.000 0.000 0.704
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 5 0.3774 0.5552 0.296 0.000 0.000 0.000 0.704
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3366 0.5700 0.000 0.768 0.000 0.000 0.232
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.0510 0.7913 0.016 0.000 0.000 0.000 0.984
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4227 0.2047 0.000 0.580 0.420 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 5 0.3143 0.6331 0.000 0.000 0.000 0.204 0.796
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.4866 0.7685 0.000 0.344 0.000 0.620 0.036
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 5 0.0963 0.7854 0.036 0.000 0.000 0.000 0.964
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.4256 0.0792 0.564 0.000 0.000 0.000 0.436
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 5 0.3300 0.6279 0.000 0.004 0.000 0.204 0.792
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.0880 0.7860 0.000 0.000 0.000 0.032 0.968
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.4126 0.7666 0.000 0.380 0.000 0.620 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.0000 0.7932 0.000 0.000 0.000 0.000 1.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9799 0.000 0.000 1.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0290 0.9139 0.000 0.992 0.000 0.008 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.4126 0.7251 0.620 0.000 0.000 0.380 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4161 0.3029 0.000 0.704 0.000 0.280 0.016
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.4504 0.3662 0.000 0.008 0.000 0.564 0.428
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.1410 0.7361 0.940 0.000 0.000 0.000 0.060
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.3305 0.5773 0.776 0.000 0.000 0.000 0.224
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4302 -0.1630 0.520 0.000 0.000 0.000 0.480
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9225 0.000 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.1007 0.8992 0.000 0.956 0.000 0.044 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 6 0.1908 0.5857 0.004 0.000 0.000 0.000 0.096 0.900
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.5595 0.2061 0.000 0.000 0.000 0.144 0.392 0.464
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.3101 0.4925 0.000 0.000 0.000 0.000 0.756 0.244
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.5512 0.3665 0.000 0.212 0.000 0.056 0.644 0.088
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0146 0.9798 0.000 0.000 0.996 0.004 0.000 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.0000 0.8971 0.000 0.000 0.000 1.000 0.000 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 6 0.3854 -0.1147 0.000 0.000 0.000 0.000 0.464 0.536
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 5 0.3854 -0.0824 0.000 0.000 0.000 0.000 0.536 0.464
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.4548 0.6956 0.000 0.752 0.000 0.056 0.128 0.064
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 6 0.1387 0.6101 0.000 0.000 0.000 0.000 0.068 0.932
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 5 0.4591 -0.1111 0.000 0.000 0.000 0.036 0.500 0.464
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 6 0.4468 0.2308 0.000 0.000 0.000 0.032 0.408 0.560
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.2969 0.4808 0.000 0.000 0.000 0.000 0.776 0.224
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 4 0.0790 0.9069 0.000 0.032 0.000 0.968 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.0790 0.9066 0.000 0.032 0.000 0.968 0.000 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.0000 0.8971 0.000 0.000 0.000 1.000 0.000 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.4831 0.3337 0.000 0.012 0.000 0.072 0.660 0.256
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.1327 0.8862 0.936 0.000 0.000 0.000 0.000 0.064
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.0937 0.8785 0.000 0.000 0.000 0.960 0.040 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 5 0.0146 0.5656 0.000 0.000 0.000 0.004 0.996 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 5 0.0000 0.5650 0.000 0.000 0.000 0.000 1.000 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.0363 0.5656 0.000 0.000 0.000 0.012 0.988 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.3797 0.2427 0.000 0.580 0.000 0.420 0.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.0260 0.8948 0.000 0.000 0.000 0.992 0.008 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
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#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.3765 0.5004 0.596 0.000 0.000 0.000 0.000 0.404
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 4 0.0713 0.9065 0.000 0.028 0.000 0.972 0.000 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 6 0.2912 0.5262 0.000 0.000 0.000 0.000 0.216 0.784
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.1204 0.8890 0.000 0.944 0.000 0.056 0.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 5 0.0363 0.5654 0.000 0.000 0.000 0.012 0.988 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 5 0.4643 0.4742 0.000 0.084 0.000 0.056 0.748 0.112
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 5 0.3634 0.3229 0.000 0.000 0.000 0.000 0.644 0.356
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 5 0.1327 0.5636 0.000 0.000 0.000 0.000 0.936 0.064
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 5 0.2092 0.5467 0.000 0.000 0.000 0.000 0.876 0.124
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.0000 0.8971 0.000 0.000 0.000 1.000 0.000 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 5 0.4066 0.4291 0.000 0.040 0.000 0.032 0.772 0.156
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 5 0.4890 0.4200 0.180 0.000 0.000 0.000 0.660 0.160
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.0790 0.9069 0.000 0.032 0.000 0.968 0.000 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.0458 0.9035 0.000 0.016 0.000 0.984 0.000 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 5 0.3468 0.4588 0.004 0.000 0.000 0.000 0.712 0.284
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 6 0.3309 0.3858 0.280 0.000 0.000 0.000 0.000 0.720
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 5 0.2823 0.5143 0.000 0.000 0.000 0.000 0.796 0.204
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.2902 0.7535 0.800 0.000 0.000 0.000 0.004 0.196
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 5 0.2793 0.4048 0.000 0.000 0.000 0.000 0.800 0.200
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 6 0.3307 0.5349 0.148 0.000 0.000 0.000 0.044 0.808
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.2793 0.7282 0.000 0.200 0.800 0.000 0.000 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 3 0.3860 0.0412 0.000 0.472 0.528 0.000 0.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0363 0.9201 0.988 0.000 0.000 0.000 0.000 0.012
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.0363 0.9022 0.000 0.012 0.000 0.988 0.000 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.2631 0.7500 0.000 0.820 0.000 0.180 0.000 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 5 0.0260 0.5655 0.000 0.000 0.000 0.008 0.992 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 4 0.1204 0.9039 0.000 0.056 0.000 0.944 0.000 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 4 0.1663 0.8607 0.000 0.000 0.000 0.912 0.088 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.3804 0.1509 0.000 0.576 0.000 0.424 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 6 0.3737 0.2732 0.000 0.000 0.000 0.000 0.392 0.608
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 6 0.3756 0.2595 0.000 0.000 0.000 0.000 0.400 0.600
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.3336 0.7597 0.000 0.812 0.000 0.056 0.132 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 5 0.0260 0.5661 0.000 0.000 0.000 0.000 0.992 0.008
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.3797 0.3030 0.000 0.580 0.420 0.000 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 5 0.4642 0.0554 0.000 0.000 0.000 0.452 0.508 0.040
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 5 0.0000 0.5650 0.000 0.000 0.000 0.000 1.000 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.0000 0.8971 0.000 0.000 0.000 1.000 0.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 5 0.3857 -0.0887 0.000 0.000 0.000 0.000 0.532 0.468
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 5 0.3854 -0.0824 0.000 0.000 0.000 0.000 0.536 0.464
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 5 0.4844 -0.0741 0.000 0.000 0.000 0.056 0.504 0.440
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.0790 0.9069 0.000 0.032 0.000 0.968 0.000 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.9252 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 4 0.0865 0.9071 0.000 0.036 0.000 0.964 0.000 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 6 0.1814 0.5893 0.000 0.000 0.000 0.000 0.100 0.900
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 5 0.3838 0.1491 0.000 0.000 0.000 0.448 0.552 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.5673 0.2219 0.000 0.000 0.000 0.164 0.356 0.480
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 5 0.3854 -0.0824 0.000 0.000 0.000 0.000 0.536 0.464
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.0790 0.9069 0.000 0.032 0.000 0.968 0.000 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.1204 0.8890 0.000 0.944 0.000 0.056 0.000 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 5 0.2487 0.5373 0.000 0.000 0.000 0.032 0.876 0.092
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.9843 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0000 0.9300 0.000 1.000 0.000 0.000 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.1007 0.8979 0.000 0.956 0.000 0.044 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.0547 0.9158 0.980 0.000 0.000 0.000 0.000 0.020
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 4 0.4080 0.0793 0.000 0.456 0.000 0.536 0.008 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3050 0.6607 0.000 0.000 0.000 0.764 0.236 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 5 0.3714 0.4045 0.004 0.000 0.000 0.000 0.656 0.340
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 6 0.0146 0.6281 0.000 0.000 0.000 0.000 0.004 0.996
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 5 0.2454 0.5271 0.000 0.000 0.000 0.000 0.840 0.160
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0363 0.9221 0.000 0.988 0.000 0.012 0.000 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0000 0.9300 0.000 1.000 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 17033 rows and 424 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.663 0.919 0.945 0.2452 0.799 0.799
#> 3 3 0.322 0.563 0.764 1.3624 0.609 0.513
#> 4 4 0.541 0.689 0.810 0.2274 0.671 0.356
#> 5 5 0.512 0.512 0.698 0.0638 0.917 0.717
#> 6 6 0.570 0.420 0.648 0.0507 0.928 0.720
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.1184 0.9460 0.984 0.016
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 1 0.2603 0.9445 0.956 0.044
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4815 0.8987 0.896 0.104
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.1184 0.9460 0.984 0.016
#> 622A8E32-1738-4F33-9108-39573001E650 1 0.5946 0.8958 0.856 0.144
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.2043 0.9463 0.968 0.032
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0376 0.9657 0.004 0.996
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.1414 0.9476 0.980 0.020
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.1184 0.9460 0.984 0.016
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4815 0.8987 0.896 0.104
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 1 0.9963 0.2766 0.536 0.464
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.9896 0.0796 0.440 0.560
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 1 0.1843 0.9465 0.972 0.028
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.5178 0.8964 0.884 0.116
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.1843 0.9467 0.972 0.028
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 1 0.1843 0.9465 0.972 0.028
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.1184 0.9460 0.984 0.016
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1633 0.9471 0.976 0.024
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 1 0.2043 0.9463 0.968 0.032
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.2043 0.9463 0.968 0.032
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#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.4815 0.8987 0.896 0.104
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.4815 0.8987 0.896 0.104
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0376 0.9657 0.004 0.996
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0376 0.9657 0.004 0.996
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.2423 0.9455 0.960 0.040
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 1 0.2043 0.9463 0.968 0.032
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.1184 0.9460 0.984 0.016
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 1 0.2043 0.9463 0.968 0.032
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 1 0.2043 0.9463 0.968 0.032
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 1 0.3431 0.9426 0.936 0.064
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4815 0.8987 0.896 0.104
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.1184 0.9460 0.984 0.016
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 1 0.5946 0.8958 0.856 0.144
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.2043 0.9463 0.968 0.032
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 1 0.3274 0.9398 0.940 0.060
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.1184 0.9460 0.984 0.016
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.2236 0.9462 0.964 0.036
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 1 0.2043 0.9463 0.968 0.032
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 1 0.2603 0.9445 0.956 0.044
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.2423 0.9455 0.960 0.040
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 1 0.1633 0.9468 0.976 0.024
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.1184 0.9460 0.984 0.016
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0376 0.9657 0.004 0.996
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.2423 0.9455 0.960 0.040
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.5408 0.8974 0.876 0.124
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.1843 0.9469 0.972 0.028
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.1184 0.9460 0.984 0.016
#> D6FC41FB-370B-44C0-940C-862554ECB645 1 0.1843 0.9465 0.972 0.028
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4815 0.8987 0.896 0.104
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.2043 0.9463 0.968 0.032
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4815 0.8987 0.896 0.104
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.2423 0.9455 0.960 0.040
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.1184 0.9460 0.984 0.016
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.6079 0.210495 0.388 0.612 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.4994 0.586549 0.112 0.836 0.052
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.0892 0.629437 0.980 0.020 0.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.5178 0.424210 0.256 0.744 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.3670 0.593756 0.092 0.888 0.020
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.6140 0.510755 0.404 0.596 0.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.971750 0.000 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 2 0.6267 0.110218 0.452 0.548 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.5905 0.599180 0.648 0.352 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.0000 0.648209 1.000 0.000 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.7181 0.070012 0.028 0.564 0.408
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.6059 0.557240 0.048 0.764 0.188
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.4750 0.591352 0.216 0.784 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.6140 0.538163 0.596 0.404 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.6126 -0.284181 0.600 0.400 0.000
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.3412 0.602466 0.124 0.876 0.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.5591 0.655384 0.696 0.304 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 2 0.6235 0.485777 0.436 0.564 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.5835 0.541913 0.340 0.660 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 0.6062 0.523504 0.384 0.616 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.0237 0.648000 0.996 0.004 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0892 0.962548 0.000 0.020 0.980
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.3192 0.585033 0.888 0.112 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.971750 0.000 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.5650 0.650406 0.688 0.312 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.3941 0.614019 0.156 0.844 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.5431 0.559151 0.284 0.716 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.3573 0.609499 0.120 0.876 0.004
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0892 0.962548 0.000 0.020 0.980
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.3941 0.567598 0.156 0.844 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.1163 0.956619 0.000 0.028 0.972
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0000 0.648209 1.000 0.000 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.5178 0.571150 0.256 0.744 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.6252 0.505503 0.444 0.556 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0000 0.648209 1.000 0.000 0.000
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.3340 0.563936 0.880 0.120 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.5529 0.555103 0.296 0.704 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.5327 0.542283 0.728 0.272 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.5785 0.400933 0.332 0.668 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 2 0.6008 0.517362 0.372 0.628 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.5650 0.650462 0.688 0.312 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.3941 0.553718 0.156 0.844 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.4007 0.584138 0.036 0.880 0.084
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.6140 0.510415 0.404 0.596 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 2 0.4605 0.549559 0.204 0.796 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 2 0.4555 0.547905 0.200 0.800 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.4974 0.678159 0.764 0.236 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3038 0.581241 0.896 0.104 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.4887 0.677639 0.772 0.228 0.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.0000 0.648209 1.000 0.000 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.5254 0.568398 0.264 0.736 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0592 0.966977 0.000 0.012 0.988
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.5216 0.673197 0.740 0.260 0.000
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.5591 0.656715 0.696 0.304 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.0000 0.648209 1.000 0.000 0.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.6260 -0.361286 0.552 0.448 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.6154 0.507854 0.408 0.592 0.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.5560 0.345599 0.300 0.700 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.5621 0.548700 0.308 0.692 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.0000 0.648209 1.000 0.000 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.0237 0.648000 0.996 0.004 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.5835 0.369533 0.340 0.660 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0000 0.648209 1.000 0.000 0.000
#> E475009E-2082-43DF-903D-7B85D9DF0587 2 0.6307 0.411158 0.488 0.512 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.5363 0.671286 0.724 0.276 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.1753 0.605053 0.048 0.952 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0747 0.964894 0.000 0.016 0.984
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.5650 0.550756 0.312 0.688 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.0000 0.648209 1.000 0.000 0.000
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.6225 0.338846 0.568 0.432 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.5591 0.549092 0.304 0.696 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.971750 0.000 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.5968 0.520810 0.364 0.636 0.000
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0424 0.968803 0.000 0.008 0.992
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.0000 0.648209 1.000 0.000 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.3551 0.572266 0.132 0.868 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.5859 0.019520 0.656 0.344 0.000
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.971750 0.000 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.5591 0.549092 0.304 0.696 0.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.6154 0.507854 0.408 0.592 0.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.5363 0.671286 0.724 0.276 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 2 0.6140 0.509103 0.404 0.596 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.2625 0.669023 0.916 0.084 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.5431 0.601027 0.716 0.284 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.3340 0.574744 0.120 0.880 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.4796 0.481765 0.220 0.780 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.3722 0.593521 0.024 0.888 0.088
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.4379 0.604795 0.060 0.868 0.072
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.2959 0.616103 0.100 0.900 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.5363 0.671286 0.724 0.276 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.5621 0.653332 0.692 0.308 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 1 0.0237 0.644540 0.996 0.004 0.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.6280 -0.089190 0.460 0.540 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.4452 0.517114 0.192 0.808 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.3826 0.611376 0.124 0.868 0.008
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.5760 0.403795 0.328 0.672 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.6008 0.290420 0.000 0.372 0.628
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.971750 0.000 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.5291 0.673787 0.732 0.268 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.2625 0.616941 0.084 0.916 0.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 1 0.4002 0.427124 0.840 0.160 0.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0424 0.968811 0.000 0.008 0.992
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.4974 0.458030 0.236 0.764 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.4178 0.602508 0.172 0.828 0.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.4452 0.618125 0.192 0.808 0.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.971750 0.000 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.0237 0.648000 0.996 0.004 0.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.971750 0.000 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 2 0.2959 0.591688 0.100 0.900 0.000
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 2 0.3816 0.572298 0.148 0.852 0.000
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.4931 0.464191 0.232 0.768 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.5431 0.366535 0.284 0.716 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.5363 0.671286 0.724 0.276 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.7360 -0.024437 0.032 0.528 0.440
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.971750 0.000 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.3038 0.581241 0.896 0.104 0.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.5968 0.571899 0.636 0.364 0.000
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.4931 0.464339 0.232 0.768 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.1964 0.613896 0.056 0.944 0.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.0000 0.648209 1.000 0.000 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.6111 0.553094 0.604 0.396 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.4842 0.330534 0.776 0.224 0.000
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 2 0.5859 0.526504 0.344 0.656 0.000
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.5397 0.374751 0.280 0.720 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.3038 0.603229 0.104 0.896 0.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.5529 0.553166 0.296 0.704 0.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.3412 0.577291 0.124 0.876 0.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0000 0.971750 0.000 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.6095 0.140805 0.392 0.608 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.3879 0.570800 0.152 0.848 0.000
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.5591 0.655384 0.696 0.304 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 1 0.3192 0.573517 0.888 0.112 0.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.5397 0.670452 0.720 0.280 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.3192 0.597842 0.112 0.888 0.000
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 1 0.4235 0.413910 0.824 0.176 0.000
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.5327 0.391981 0.272 0.728 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.0000 0.648209 1.000 0.000 0.000
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.5621 0.653332 0.692 0.308 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.3752 0.612509 0.144 0.856 0.000
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#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.3619 0.569507 0.136 0.864 0.000
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 2 0.5882 0.358045 0.348 0.652 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 2 0.6154 0.507854 0.408 0.592 0.000
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0000 0.971750 0.000 0.000 1.000
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.6140 -0.264490 0.596 0.404 0.000
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 2 0.6154 0.507854 0.408 0.592 0.000
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 2 0.2959 0.589874 0.100 0.900 0.000
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 2 0.6154 0.507854 0.408 0.592 0.000
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 2 0.2625 0.612309 0.084 0.916 0.000
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 2 0.3340 0.610219 0.120 0.880 0.000
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 2 0.6154 0.507854 0.408 0.592 0.000
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 2 0.6897 0.004971 0.016 0.548 0.436
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.4121 0.545643 0.168 0.832 0.000
#> A95868A5-84D9-4538-843D-35FC17E37141 1 0.5465 0.665663 0.712 0.288 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 2 0.3038 0.603229 0.104 0.896 0.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.0000 0.648209 1.000 0.000 0.000
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 2 0.5397 0.560254 0.280 0.720 0.000
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0000 0.971750 0.000 0.000 1.000
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 1 0.5591 0.655384 0.696 0.304 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.5363 0.671286 0.724 0.276 0.000
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 2 0.6154 0.507854 0.408 0.592 0.000
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.0592 0.652515 0.988 0.012 0.000
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 1 0.5098 0.611325 0.752 0.248 0.000
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 2 0.6154 0.507854 0.408 0.592 0.000
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.5621 0.653332 0.692 0.308 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.4702 0.493656 0.212 0.788 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.5397 0.669601 0.720 0.280 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.5591 0.655384 0.696 0.304 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 1 0.0000 0.648209 1.000 0.000 0.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 1 0.0424 0.649817 0.992 0.008 0.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0000 0.971750 0.000 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.5216 0.674236 0.740 0.260 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.3551 0.549675 0.868 0.132 0.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.2448 0.617102 0.076 0.924 0.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.5591 0.651448 0.696 0.304 0.000
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 3 0.0747 0.958555 0.016 0.000 0.984
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.4346 0.679276 0.816 0.184 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 1 0.0237 0.648000 0.996 0.004 0.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.5733 0.576837 0.324 0.676 0.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.3619 0.611007 0.136 0.864 0.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.5363 0.671286 0.724 0.276 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.5859 0.288234 0.344 0.656 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 2 0.6215 0.504125 0.428 0.572 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.6154 0.507854 0.408 0.592 0.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.7069 0.065076 0.024 0.568 0.408
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.0000 0.648209 1.000 0.000 0.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.6095 -0.235405 0.608 0.392 0.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0000 0.971750 0.000 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.5098 0.437846 0.248 0.752 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.0000 0.648209 1.000 0.000 0.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.5988 0.538211 0.368 0.632 0.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.0000 0.648209 1.000 0.000 0.000
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.0000 0.648209 1.000 0.000 0.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 1 0.6095 0.539801 0.608 0.392 0.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0000 0.971750 0.000 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.4796 0.481765 0.220 0.780 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.0000 0.648209 1.000 0.000 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0237 0.644540 0.996 0.004 0.000
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.5733 0.577685 0.324 0.676 0.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.4750 0.487261 0.216 0.784 0.000
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.6154 0.525433 0.408 0.592 0.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.5706 0.545987 0.680 0.320 0.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3267 0.568520 0.884 0.116 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.4399 0.608165 0.812 0.188 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5431 0.365774 0.284 0.716 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.6154 0.507854 0.408 0.592 0.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.6154 0.507854 0.408 0.592 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.6154 0.188821 0.408 0.592 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.5733 0.282945 0.324 0.676 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.3038 0.581241 0.896 0.104 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.6111 0.156962 0.396 0.604 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.5431 0.563144 0.284 0.716 0.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.971750 0.000 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.5760 0.363562 0.328 0.672 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.3482 0.574849 0.128 0.872 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.5650 0.650406 0.688 0.312 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.971750 0.000 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.1163 0.956619 0.000 0.028 0.972
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.1289 0.635736 0.968 0.032 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0000 0.648209 1.000 0.000 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.971750 0.000 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.1163 0.956619 0.000 0.028 0.972
#> BD96DBB9-E64A-43B1-9452-126DC0623058 2 0.5016 0.530130 0.240 0.760 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.5785 0.544207 0.332 0.668 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.5621 0.653332 0.692 0.308 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.5621 0.548700 0.308 0.692 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.5529 0.555103 0.296 0.704 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.3038 0.588211 0.104 0.896 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0000 0.648209 1.000 0.000 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.5678 0.647088 0.684 0.316 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.4733 0.613741 0.196 0.800 0.004
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.6154 0.507854 0.408 0.592 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.5621 0.553453 0.308 0.692 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.5678 0.647088 0.684 0.316 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 2 0.4452 0.557670 0.192 0.808 0.000
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.5591 0.549092 0.304 0.696 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.1289 0.607539 0.032 0.968 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.3340 0.587781 0.120 0.880 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.4974 0.458030 0.236 0.764 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.5529 0.660839 0.704 0.296 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.971750 0.000 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4555 0.507708 0.200 0.800 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.6062 0.063394 0.384 0.616 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.6225 0.479143 0.432 0.568 0.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.6079 0.503548 0.612 0.388 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.1643 0.617790 0.044 0.956 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4399 0.679524 0.812 0.188 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.6154 0.507854 0.408 0.592 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0237 0.648000 0.996 0.004 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.3551 0.572266 0.132 0.868 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.6286 0.442692 0.536 0.464 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.2081 0.7991 0.084 0.916 0.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.5198 0.2768 0.008 0.628 0.360 0.004
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4104 0.7092 0.808 0.028 0.000 0.164
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0336 0.7873 0.008 0.992 0.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5620 0.5994 0.008 0.376 0.600 0.016
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.1474 0.7474 0.052 0.000 0.000 0.948
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0188 0.8273 0.000 0.000 0.996 0.004
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.7019 0.5076 0.344 0.132 0.000 0.524
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4008 0.7419 0.244 0.756 0.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.1022 0.7862 0.968 0.000 0.000 0.032
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.6685 0.6923 0.008 0.200 0.644 0.148
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.4475 0.7815 0.012 0.096 0.824 0.068
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.1867 0.7427 0.000 0.072 0.000 0.928
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.0672 0.7847 0.008 0.984 0.000 0.008
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.5403 0.6290 0.348 0.024 0.000 0.628
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.5665 0.7347 0.176 0.108 0.000 0.716
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.4134 0.7346 0.260 0.740 0.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.5297 0.6669 0.292 0.032 0.000 0.676
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.2399 0.7535 0.032 0.048 0.000 0.920
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.5105 0.6807 0.276 0.028 0.000 0.696
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.5290 0.1222 0.516 0.008 0.000 0.476
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.1004 0.8269 0.000 0.004 0.972 0.024
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.6081 0.5734 0.652 0.088 0.000 0.260
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.8272 0.000 0.000 1.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.2149 0.7965 0.088 0.912 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.4955 0.6818 0.060 0.132 0.016 0.792
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.1637 0.7437 0.000 0.060 0.000 0.940
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.7851 0.4928 0.008 0.264 0.480 0.248
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1004 0.8269 0.000 0.004 0.972 0.024
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.6816 0.6523 0.212 0.184 0.000 0.604
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.3143 0.8026 0.000 0.100 0.876 0.024
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.0592 0.7805 0.984 0.000 0.000 0.016
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3681 0.7093 0.008 0.176 0.000 0.816
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.6252 0.3677 0.288 0.088 0.000 0.624
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.0707 0.7822 0.980 0.000 0.000 0.020
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5951 0.5623 0.636 0.064 0.000 0.300
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.2363 0.7513 0.024 0.056 0.000 0.920
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.6608 0.5325 0.628 0.204 0.000 0.168
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 2 0.6954 0.5002 0.280 0.568 0.000 0.152
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.4382 0.6770 0.296 0.000 0.000 0.704
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2081 0.7973 0.084 0.916 0.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.3196 0.6678 0.008 0.856 0.000 0.136
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.5406 0.5971 0.008 0.380 0.604 0.008
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.4257 0.7542 0.140 0.048 0.000 0.812
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.6973 0.6294 0.196 0.220 0.000 0.584
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.6525 0.6150 0.272 0.116 0.000 0.612
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.7219 0.3778 0.364 0.488 0.000 0.148
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.5732 0.6063 0.672 0.064 0.000 0.264
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.6373 0.5471 0.652 0.200 0.000 0.148
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1211 0.7881 0.960 0.000 0.000 0.040
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.2081 0.7431 0.000 0.084 0.000 0.916
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.1004 0.8269 0.000 0.004 0.972 0.024
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.6145 -0.2361 0.492 0.460 0.000 0.048
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.3975 0.7444 0.240 0.760 0.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.3219 0.6656 0.836 0.000 0.000 0.164
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#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0817 0.7964 0.024 0.976 0.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.5883 0.5807 0.648 0.064 0.000 0.288
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.1867 0.8020 0.072 0.928 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.2363 0.7500 0.024 0.056 0.000 0.920
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0000 0.8272 0.000 0.000 1.000 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.2814 0.7872 0.132 0.868 0.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.0804 0.7837 0.008 0.980 0.000 0.012
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.1792 0.7993 0.068 0.932 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0000 0.8272 0.000 0.000 1.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.3711 0.7864 0.000 0.140 0.836 0.024
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.2843 0.7661 0.892 0.020 0.000 0.088
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.1211 0.7881 0.960 0.000 0.000 0.040
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0000 0.8272 0.000 0.000 1.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.2021 0.8216 0.000 0.040 0.936 0.024
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.7271 0.4744 0.276 0.192 0.000 0.532
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.2300 0.7534 0.028 0.048 0.000 0.924
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.2081 0.7973 0.084 0.916 0.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.2385 0.7520 0.028 0.052 0.000 0.920
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.1637 0.7437 0.000 0.060 0.000 0.940
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.4359 0.6244 0.008 0.796 0.020 0.176
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.0469 0.7785 0.988 0.000 0.000 0.012
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.1940 0.7980 0.076 0.924 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.8640 0.5660 0.092 0.232 0.512 0.164
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.3486 0.7270 0.188 0.000 0.000 0.812
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.3691 0.7186 0.068 0.076 0.000 0.856
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.1637 0.8002 0.060 0.940 0.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.5949 0.6502 0.288 0.068 0.000 0.644
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.1474 0.7443 0.000 0.052 0.000 0.948
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.4999 0.6196 0.012 0.328 0.000 0.660
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.6808 0.6374 0.164 0.236 0.000 0.600
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0524 0.7868 0.008 0.988 0.004 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.4008 0.7419 0.244 0.756 0.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0000 0.8272 0.000 0.000 1.000 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.0188 0.7910 0.004 0.996 0.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.1059 0.7816 0.016 0.972 0.000 0.012
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.4250 0.6922 0.276 0.000 0.000 0.724
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4401 0.7163 0.272 0.724 0.000 0.004
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.3143 0.7528 0.024 0.100 0.000 0.876
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0592 0.7711 0.984 0.016 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.3528 0.7294 0.192 0.000 0.000 0.808
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1398 0.7882 0.956 0.004 0.000 0.040
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.0804 0.7837 0.008 0.980 0.000 0.012
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.0336 0.7922 0.008 0.992 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.5240 0.71295 0.144 0.716 0.000 0.016 0.124
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.7356 0.15414 0.004 0.372 0.444 0.092 0.088
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.4427 0.72275 0.780 0.020 0.000 0.056 0.144
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2017 0.66888 0.000 0.912 0.000 0.080 0.008
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.6455 0.33726 0.008 0.208 0.544 0.240 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.3565 0.47078 0.024 0.000 0.000 0.176 0.800
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.6449 0.34225 0.188 0.200 0.000 0.024 0.588
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.5981 0.67326 0.180 0.628 0.000 0.012 0.180
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.2053 0.78826 0.924 0.024 0.000 0.004 0.048
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.5504 0.47630 0.004 0.060 0.624 0.304 0.008
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.2645 0.79274 0.000 0.012 0.884 0.096 0.008
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.4692 -0.03745 0.004 0.008 0.000 0.528 0.460
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.4682 0.57938 0.128 0.756 0.000 0.108 0.008
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.3758 0.50384 0.128 0.052 0.000 0.004 0.816
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 5 0.5196 0.24265 0.016 0.032 0.000 0.328 0.624
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.5608 0.66429 0.224 0.652 0.000 0.008 0.116
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.2945 0.50991 0.016 0.044 0.000 0.056 0.884
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 5 0.4670 0.20696 0.004 0.008 0.000 0.440 0.548
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 5 0.4015 0.50568 0.024 0.040 0.000 0.124 0.812
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4712 0.53405 0.716 0.020 0.000 0.028 0.236
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0324 0.86065 0.000 0.004 0.992 0.004 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.5673 0.52084 0.656 0.184 0.000 0.152 0.008
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.4137 0.71276 0.128 0.792 0.000 0.004 0.076
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.8036 0.45590 0.048 0.200 0.040 0.472 0.240
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.4688 -0.03180 0.004 0.008 0.000 0.532 0.456
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.8089 0.33578 0.008 0.188 0.244 0.448 0.112
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0324 0.86065 0.000 0.004 0.992 0.004 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.6097 0.44108 0.132 0.104 0.000 0.088 0.676
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0566 0.85752 0.000 0.004 0.984 0.012 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.2610 0.77629 0.892 0.028 0.000 0.004 0.076
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 5 0.5979 -0.05738 0.008 0.088 0.000 0.392 0.512
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.7937 0.42163 0.160 0.148 0.000 0.452 0.240
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.2819 0.77792 0.884 0.024 0.000 0.012 0.080
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5689 0.50980 0.676 0.116 0.000 0.184 0.024
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.4595 0.14067 0.004 0.008 0.000 0.400 0.588
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.6245 0.43513 0.600 0.176 0.000 0.208 0.016
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 5 0.6959 -0.22496 0.052 0.360 0.000 0.112 0.476
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 5 0.0960 0.53742 0.016 0.008 0.000 0.004 0.972
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3839 0.71706 0.108 0.816 0.000 0.004 0.072
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.5233 0.45002 0.000 0.684 0.000 0.148 0.168
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.5933 0.44034 0.004 0.228 0.608 0.160 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 5 0.5434 0.24836 0.036 0.012 0.000 0.428 0.524
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.7389 0.29785 0.080 0.192 0.000 0.212 0.516
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.5990 0.43547 0.160 0.100 0.000 0.064 0.676
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.7165 -0.13541 0.124 0.332 0.000 0.064 0.480
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.3854 0.68203 0.828 0.080 0.000 0.076 0.016
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.7900 0.34140 0.468 0.208 0.000 0.156 0.168
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.1978 0.78835 0.928 0.024 0.000 0.004 0.044
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 5 0.4981 0.06306 0.008 0.016 0.000 0.448 0.528
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0324 0.86065 0.000 0.004 0.992 0.004 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.7251 0.34720 0.336 0.396 0.000 0.024 0.244
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.5447 0.68043 0.200 0.668 0.000 0.004 0.128
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.4258 0.66030 0.744 0.032 0.000 0.004 0.220
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.5310 0.44185 0.284 0.024 0.000 0.040 0.652
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.2959 0.49625 0.036 0.000 0.000 0.100 0.864
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.1928 0.67733 0.004 0.920 0.000 0.072 0.004
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 5 0.4680 0.20400 0.004 0.008 0.000 0.448 0.540
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.1739 0.78814 0.940 0.024 0.000 0.004 0.032
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1623 0.77532 0.948 0.016 0.000 0.016 0.020
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.6827 0.64332 0.148 0.572 0.000 0.056 0.224
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.5759 -0.03272 0.452 0.064 0.000 0.008 0.476
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.1904 0.53010 0.016 0.028 0.000 0.020 0.936
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.6127 0.64507 0.200 0.608 0.000 0.012 0.180
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 5 0.6786 -0.15528 0.004 0.356 0.000 0.228 0.412
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0324 0.86065 0.000 0.004 0.992 0.004 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 5 0.6699 0.06849 0.080 0.084 0.000 0.260 0.576
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.3822 0.72924 0.816 0.040 0.000 0.012 0.132
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 5 0.6016 0.40363 0.116 0.156 0.000 0.056 0.672
#> D65DB90F-4495-467D-A204-F67996E1E515 5 0.4751 0.20400 0.008 0.008 0.000 0.420 0.564
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 5 0.1173 0.53687 0.020 0.004 0.000 0.012 0.964
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0162 0.86124 0.000 0.000 0.996 0.004 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.1978 0.78835 0.928 0.024 0.000 0.004 0.044
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.4976 0.58942 0.004 0.696 0.000 0.072 0.228
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 5 0.3593 0.52117 0.092 0.044 0.000 0.020 0.844
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 5 0.4702 0.13392 0.004 0.008 0.000 0.476 0.512
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.4792 0.30285 0.020 0.012 0.000 0.312 0.656
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.6269 0.61010 0.264 0.580 0.000 0.016 0.140
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 5 0.1836 0.53696 0.016 0.040 0.000 0.008 0.936
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4231 0.70795 0.784 0.060 0.000 0.008 0.148
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.5892 0.48639 0.628 0.204 0.000 0.160 0.008
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 5 0.6124 0.23701 0.020 0.300 0.000 0.100 0.580
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.2473 0.67036 0.000 0.896 0.000 0.072 0.032
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.6526 0.30539 0.008 0.204 0.528 0.260 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 4 0.6318 -0.10152 0.008 0.120 0.428 0.444 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 5 0.6132 -0.05493 0.008 0.108 0.000 0.364 0.520
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.6205 0.58290 0.304 0.560 0.000 0.012 0.124
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.4960 0.70067 0.160 0.728 0.000 0.008 0.104
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.5207 0.43057 0.292 0.024 0.000 0.032 0.652
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.4447 0.72417 0.072 0.796 0.000 0.036 0.096
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.3640 0.68973 0.008 0.832 0.000 0.052 0.108
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 4 0.6500 0.05155 0.008 0.120 0.364 0.500 0.008
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.7715 0.38223 0.160 0.396 0.000 0.088 0.356
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 2 0.6689 0.54049 0.284 0.516 0.000 0.016 0.184
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 5 0.6283 -0.28261 0.008 0.116 0.000 0.424 0.452
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 5 0.2674 0.48647 0.140 0.000 0.000 0.004 0.856
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0324 0.86065 0.000 0.004 0.992 0.004 0.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.2068 0.66332 0.004 0.904 0.000 0.092 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 5 0.4889 0.03845 0.004 0.016 0.000 0.476 0.504
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 4 0.4704 0.06105 0.004 0.008 0.000 0.508 0.480
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.4354 0.71885 0.792 0.016 0.000 0.096 0.096
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.86211 0.000 0.000 1.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.6941 0.05932 0.016 0.316 0.000 0.212 0.456
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 5 0.3643 0.53119 0.072 0.044 0.000 0.036 0.848
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#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.4676 0.14435 0.004 0.012 0.000 0.392 0.592
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2900 0.75213 0.864 0.028 0.000 0.000 0.108
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 5 0.3238 0.49418 0.028 0.000 0.000 0.136 0.836
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.1087 0.77729 0.968 0.016 0.000 0.008 0.008
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5123 0.46206 0.000 0.696 0.000 0.160 0.144
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1544 0.67436 0.000 0.932 0.000 0.068 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.5603 0.4464 0.076 0.688 0.000 0.016 0.120 0.100
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.5953 0.0613 0.000 0.196 0.456 0.004 0.000 0.344
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5402 0.6775 0.696 0.088 0.000 0.132 0.076 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.5173 0.4979 0.000 0.616 0.000 0.000 0.160 0.224
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.4097 0.0886 0.000 0.008 0.500 0.000 0.000 0.492
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 4 0.5650 0.4259 0.004 0.008 0.000 0.592 0.200 0.196
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.8097 -0.2883 0.164 0.320 0.000 0.336 0.120 0.060
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 2 0.4408 0.4828 0.100 0.780 0.000 0.072 0.016 0.032
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.3689 0.7363 0.792 0.136 0.000 0.068 0.004 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4093 0.1526 0.000 0.000 0.516 0.000 0.008 0.476
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.1124 0.8597 0.000 0.000 0.956 0.000 0.008 0.036
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.5585 0.3638 0.000 0.000 0.000 0.488 0.364 0.148
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.6315 0.2371 0.220 0.456 0.000 0.000 0.020 0.304
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.6439 0.2164 0.080 0.156 0.000 0.588 0.012 0.164
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.6489 0.3088 0.000 0.020 0.000 0.400 0.284 0.296
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.3864 0.5006 0.116 0.800 0.000 0.052 0.000 0.032
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 4 0.4339 0.2462 0.000 0.068 0.000 0.768 0.120 0.044
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.5436 0.3866 0.000 0.008 0.000 0.528 0.364 0.100
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3049 0.3894 0.020 0.100 0.000 0.856 0.016 0.008
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 1 0.4570 0.4737 0.728 0.020 0.000 0.064 0.004 0.184
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0146 0.8838 0.000 0.000 0.996 0.000 0.000 0.004
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.3707 0.5206 0.680 0.008 0.000 0.000 0.000 0.312
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.3950 0.5366 0.048 0.808 0.000 0.004 0.052 0.088
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 6 0.2649 0.4925 0.048 0.000 0.016 0.052 0.000 0.884
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.5585 0.3638 0.000 0.000 0.000 0.488 0.364 0.148
#> A727EECD-701F-49C2-A98D-6A85179053B3 6 0.2562 0.4777 0.000 0.000 0.172 0.000 0.000 0.828
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0146 0.8838 0.000 0.000 0.996 0.000 0.000 0.004
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.8207 -0.1861 0.080 0.168 0.000 0.388 0.240 0.124
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0632 0.8740 0.000 0.000 0.976 0.000 0.000 0.024
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3847 0.7289 0.780 0.136 0.000 0.080 0.004 0.000
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 6 0.5292 0.1078 0.000 0.004 0.000 0.332 0.104 0.560
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 6 0.3005 0.4622 0.108 0.008 0.000 0.036 0.000 0.848
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.3847 0.7298 0.780 0.136 0.000 0.080 0.000 0.004
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.4088 0.4544 0.636 0.008 0.000 0.008 0.000 0.348
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.6298 0.3050 0.000 0.008 0.000 0.388 0.288 0.316
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.3854 0.2618 0.536 0.000 0.000 0.000 0.000 0.464
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 5 0.7718 0.3437 0.068 0.300 0.000 0.272 0.324 0.036
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 4 0.3630 0.3124 0.000 0.036 0.000 0.816 0.112 0.036
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.3075 0.5491 0.016 0.852 0.000 0.000 0.040 0.092
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.6842 -0.0988 0.000 0.368 0.000 0.056 0.364 0.212
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.4426 0.3345 0.000 0.008 0.596 0.000 0.020 0.376
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.5648 0.3807 0.000 0.008 0.000 0.512 0.352 0.128
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.7722 0.4363 0.044 0.164 0.000 0.204 0.456 0.132
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.7639 -0.1786 0.096 0.196 0.000 0.444 0.224 0.040
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 2 0.7087 -0.1959 0.064 0.400 0.000 0.388 0.116 0.032
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.2317 0.6829 0.892 0.008 0.000 0.008 0.004 0.088
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.8190 0.1719 0.416 0.132 0.000 0.116 0.216 0.120
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.3576 0.7391 0.800 0.136 0.000 0.060 0.004 0.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.6118 0.3100 0.000 0.000 0.000 0.364 0.328 0.308
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 2 0.7208 0.0985 0.296 0.444 0.000 0.164 0.020 0.076
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.3611 0.5223 0.124 0.816 0.000 0.028 0.004 0.028
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.6509 0.4485 0.544 0.144 0.000 0.216 0.000 0.096
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.6844 0.1742 0.168 0.140 0.000 0.512 0.000 0.180
#> 97A2A7FD-9C45-4375-991E-28542A859888 4 0.4064 0.4271 0.000 0.004 0.000 0.740 0.056 0.200
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.5356 0.4803 0.000 0.584 0.000 0.000 0.248 0.168
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.5319 0.3914 0.000 0.008 0.000 0.540 0.364 0.088
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.2793 0.7458 0.856 0.112 0.000 0.028 0.004 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.1026 0.7254 0.968 0.012 0.000 0.008 0.004 0.008
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 2 0.6970 0.1060 0.096 0.520 0.000 0.088 0.260 0.036
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 4 0.7404 -0.0839 0.284 0.184 0.000 0.376 0.000 0.156
#> E475009E-2082-43DF-903D-7B85D9DF0587 4 0.4107 0.3440 0.000 0.052 0.000 0.768 0.024 0.156
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 2 0.4945 0.4226 0.092 0.712 0.000 0.164 0.008 0.024
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 5 0.7476 0.3223 0.000 0.196 0.000 0.156 0.328 0.320
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0146 0.8838 0.000 0.000 0.996 0.000 0.000 0.004
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 6 0.6751 -0.1142 0.036 0.028 0.000 0.356 0.128 0.452
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.4442 0.6904 0.732 0.144 0.000 0.116 0.000 0.008
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 4 0.7182 -0.2228 0.068 0.328 0.000 0.448 0.116 0.040
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.4825 0.4058 0.000 0.008 0.000 0.640 0.284 0.068
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 4 0.3187 0.3964 0.000 0.008 0.000 0.836 0.044 0.112
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.3417 0.7392 0.812 0.132 0.000 0.052 0.004 0.000
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.6860 0.1199 0.016 0.492 0.000 0.052 0.256 0.184
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 4 0.6378 0.1451 0.040 0.164 0.000 0.620 0.112 0.064
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.5625 0.3768 0.000 0.008 0.000 0.512 0.356 0.124
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 4 0.6307 0.3677 0.004 0.016 0.000 0.484 0.264 0.232
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 2 0.4170 0.4710 0.160 0.756 0.000 0.072 0.000 0.012
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 4 0.4804 0.3287 0.008 0.076 0.000 0.748 0.060 0.108
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4446 0.6881 0.732 0.140 0.000 0.120 0.008 0.000
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.3954 0.4283 0.620 0.004 0.000 0.000 0.004 0.372
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.7948 -0.3328 0.068 0.256 0.000 0.356 0.256 0.064
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.5223 0.4943 0.000 0.612 0.000 0.000 0.180 0.208
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 6 0.3993 -0.0557 0.000 0.000 0.476 0.000 0.004 0.520
#> A07AEAE4-FB94-4902-9857-8686C61920E0 6 0.3975 0.1612 0.000 0.000 0.392 0.000 0.008 0.600
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.5322 0.0534 0.000 0.000 0.000 0.472 0.104 0.424
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 2 0.4305 0.4648 0.236 0.704 0.000 0.056 0.000 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3721 0.5310 0.116 0.816 0.000 0.020 0.012 0.036
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 4 0.6976 0.1164 0.200 0.140 0.000 0.488 0.000 0.172
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.5039 0.5397 0.032 0.704 0.000 0.004 0.160 0.100
#> 814B2873-3E3E-419E-BA53-F65E322D9338 2 0.5039 0.5074 0.004 0.668 0.000 0.004 0.152 0.172
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 6 0.3653 0.3342 0.000 0.000 0.300 0.000 0.008 0.692
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 2 0.7758 -0.2941 0.092 0.372 0.000 0.200 0.300 0.036
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 2 0.5339 0.3844 0.188 0.652 0.000 0.140 0.004 0.016
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 6 0.3217 0.3967 0.000 0.000 0.000 0.224 0.008 0.768
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 4 0.4193 0.3516 0.076 0.008 0.000 0.748 0.000 0.168
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 3 0.0146 0.8838 0.000 0.000 0.996 0.000 0.000 0.004
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 2 0.5635 0.4655 0.000 0.536 0.000 0.000 0.256 0.208
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 4 0.5955 0.3440 0.000 0.000 0.000 0.444 0.316 0.240
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 6 0.6177 -0.0491 0.000 0.016 0.000 0.212 0.292 0.480
#> 44FB9517-2965-4ED0-8F01-919573276D81 3 0.0146 0.8842 0.000 0.000 0.996 0.000 0.004 0.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 1 0.5784 0.6421 0.680 0.100 0.000 0.024 0.108 0.088
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 5 0.7973 0.5098 0.060 0.152 0.000 0.176 0.436 0.176
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 4 0.6722 0.1251 0.060 0.120 0.000 0.572 0.204 0.044
#> 189E3660-4816-40D0-A0F7-39A958CB6599 2 0.5667 0.4600 0.000 0.528 0.000 0.000 0.264 0.208
#> E45A1A52-4285-492D-A868-EB18DE119DF3 2 0.5529 0.4776 0.000 0.560 0.000 0.000 0.228 0.212
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 2 0.4066 0.4914 0.124 0.784 0.000 0.060 0.000 0.032
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 3 0.4067 0.2562 0.000 0.000 0.548 0.000 0.008 0.444
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 3 0.0000 0.8844 0.000 0.000 1.000 0.000 0.000 0.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 1 0.2806 0.6582 0.840 0.008 0.000 0.008 0.000 0.144
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 1 0.4456 0.4115 0.596 0.028 0.000 0.000 0.004 0.372
#> 3C994968-8C59-4495-975F-D39C908559CE 2 0.5121 0.4806 0.000 0.604 0.000 0.000 0.124 0.272
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 6 0.3453 0.4805 0.000 0.000 0.064 0.132 0.000 0.804
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 1 0.3689 0.7355 0.792 0.136 0.000 0.068 0.004 0.000
#> D0F7931B-2253-486C-992C-1F3D1C98903B 2 0.4671 0.5208 0.000 0.688 0.000 0.000 0.156 0.156
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 4 0.3947 0.3624 0.004 0.040 0.000 0.788 0.024 0.144
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 4 0.5699 -0.0968 0.012 0.056 0.000 0.568 0.328 0.036
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 2 0.5646 0.4618 0.000 0.532 0.000 0.000 0.264 0.204
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 6 0.3012 0.4699 0.000 0.000 0.196 0.000 0.008 0.796
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 4 0.5660 0.3672 0.000 0.004 0.000 0.492 0.364 0.140
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 3 0.5199 0.0832 0.000 0.016 0.472 0.000 0.052 0.460
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 2 0.4904 0.5143 0.000 0.656 0.000 0.000 0.196 0.148
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 4 0.6533 0.2949 0.020 0.060 0.000 0.540 0.276 0.104
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 2 0.3153 0.5143 0.100 0.848 0.000 0.036 0.004 0.012
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 6 0.4193 0.0868 0.384 0.008 0.000 0.008 0.000 0.600
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 2 0.4294 0.4883 0.256 0.700 0.000 0.004 0.008 0.032
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 4 0.7199 0.1962 0.004 0.072 0.000 0.372 0.280 0.272
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 6 0.6957 0.0496 0.052 0.020 0.000 0.172 0.284 0.472
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 2 0.5667 0.4600 0.000 0.528 0.000 0.000 0.264 0.208
#> 54C50491-598E-430B-A04C-AE42D003FE9E 1 0.1777 0.7426 0.928 0.044 0.000 0.024 0.004 0.000
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#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.5569 0.4664 0.000 0.548 0.000 0.000 0.196 0.256
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.3355 0.7398 0.816 0.132 0.000 0.048 0.004 0.000
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 4 0.5040 0.3229 0.044 0.092 0.000 0.700 0.000 0.164
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 6 0.2401 0.4944 0.028 0.000 0.000 0.072 0.008 0.892
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 6 0.5512 -0.2102 0.056 0.440 0.000 0.004 0.024 0.476
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 6 0.4777 0.4079 0.080 0.028 0.000 0.116 0.024 0.752
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 1 0.3995 0.2185 0.516 0.004 0.000 0.000 0.000 0.480
#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.3213 0.6207 0.784 0.004 0.000 0.008 0.000 0.204
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.2915 0.6342 0.808 0.008 0.000 0.000 0.000 0.184
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.5592 0.4688 0.000 0.544 0.000 0.000 0.256 0.200
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.3120 0.4146 0.012 0.072 0.000 0.856 0.056 0.004
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.5203 0.3987 0.004 0.008 0.000 0.568 0.352 0.068
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.6166 0.2998 0.088 0.648 0.000 0.112 0.120 0.032
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.3978 0.5292 0.000 0.756 0.000 0.000 0.084 0.160
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.3273 0.6168 0.776 0.004 0.000 0.008 0.000 0.212
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.4938 0.5178 0.012 0.676 0.000 0.000 0.200 0.112
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 6 0.6402 -0.2865 0.000 0.012 0.000 0.340 0.292 0.356
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.5486 0.4666 0.056 0.688 0.000 0.020 0.164 0.072
#> 39691679-6FEB-4767-8718-81CDB63E625F 6 0.4656 -0.1444 0.000 0.416 0.012 0.004 0.016 0.552
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.3725 0.5397 0.016 0.804 0.000 0.000 0.064 0.116
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.1204 0.8503 0.000 0.000 0.944 0.000 0.000 0.056
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.2573 0.6975 0.864 0.024 0.000 0.000 0.000 0.112
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.0862 0.7271 0.972 0.016 0.000 0.000 0.008 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0146 0.8842 0.000 0.000 0.996 0.000 0.004 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0363 0.8808 0.000 0.000 0.988 0.000 0.000 0.012
#> BD96DBB9-E64A-43B1-9452-126DC0623058 4 0.7449 -0.3297 0.068 0.164 0.000 0.372 0.360 0.036
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.5939 0.3730 0.016 0.004 0.000 0.504 0.348 0.128
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.2872 0.5488 0.024 0.868 0.000 0.000 0.028 0.080
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.6101 0.3741 0.000 0.004 0.000 0.416 0.348 0.232
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.5688 0.3643 0.000 0.004 0.000 0.488 0.364 0.144
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 6 0.2937 0.4868 0.008 0.020 0.044 0.044 0.004 0.880
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.3633 0.7376 0.796 0.136 0.000 0.064 0.004 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.3795 0.5373 0.020 0.800 0.000 0.000 0.060 0.120
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 6 0.5076 0.3334 0.088 0.000 0.288 0.000 0.008 0.616
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.1124 0.4301 0.000 0.008 0.000 0.956 0.036 0.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 6 0.3546 0.4697 0.056 0.008 0.000 0.128 0.000 0.808
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.3862 0.5434 0.008 0.788 0.000 0.000 0.104 0.100
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 4 0.7462 -0.2387 0.072 0.156 0.000 0.416 0.316 0.040
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.5688 0.3719 0.000 0.004 0.000 0.488 0.364 0.144
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 5 0.7114 -0.0728 0.000 0.072 0.000 0.288 0.348 0.292
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 5 0.8214 0.3713 0.076 0.136 0.000 0.236 0.388 0.164
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.5663 0.4655 0.000 0.532 0.000 0.000 0.248 0.220
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.4001 0.4841 0.100 0.800 0.000 0.064 0.004 0.032
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0260 0.8838 0.000 0.000 0.992 0.000 0.008 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.6410 0.0082 0.000 0.416 0.000 0.036 0.384 0.164
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 6 0.5589 0.0183 0.124 0.340 0.000 0.000 0.008 0.528
#> 087A928E-FB5A-496C-8967-877899416E94 4 0.3037 0.4011 0.004 0.016 0.000 0.820 0.000 0.160
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 2 0.4258 0.4838 0.088 0.788 0.000 0.084 0.012 0.028
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.6288 0.3080 0.000 0.008 0.000 0.396 0.288 0.308
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.2138 0.7406 0.908 0.052 0.000 0.036 0.000 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.0865 0.4290 0.000 0.000 0.000 0.964 0.036 0.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.0798 0.7269 0.976 0.012 0.000 0.004 0.004 0.004
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.6983 -0.1803 0.000 0.372 0.000 0.060 0.296 0.272
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.5037 0.5077 0.000 0.640 0.000 0.000 0.188 0.172
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 17033 rows and 424 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 0.862 0.926 0.968 0.4811 0.518 0.518
#> 3 3 0.516 0.661 0.842 0.3278 0.699 0.483
#> 4 4 0.496 0.506 0.744 0.1441 0.798 0.493
#> 5 5 0.649 0.672 0.802 0.0811 0.829 0.458
#> 6 6 0.675 0.645 0.781 0.0490 0.878 0.510
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
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 1 0.0000 0.96118 1.000 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 2 0.0000 0.96881 0.000 1.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 2 0.0000 0.96881 0.000 1.000
#> C3B7657E-B340-4808-86D9-277E661D48DD 1 0.0000 0.96118 1.000 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 2 0.0000 0.96881 0.000 1.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 2 0.0000 0.96881 0.000 1.000
#> FAE38724-0757-45E5-818D-9DFE1C132796 2 0.0000 0.96881 0.000 1.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.8016 0.70080 0.756 0.244
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.0000 0.96118 1.000 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 2 0.0000 0.96881 0.000 1.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 2 0.0000 0.96881 0.000 1.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 2 0.0000 0.96881 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 2 0.0000 0.96881 0.000 1.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.0376 0.95869 0.996 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 2 0.8909 0.55797 0.308 0.692
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 2 0.0000 0.96881 0.000 1.000
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 1 0.0000 0.96118 1.000 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.0000 0.96118 1.000 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 2 0.0000 0.96881 0.000 1.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 2 1.0000 0.00562 0.496 0.504
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 2 0.0000 0.96881 0.000 1.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 2 0.0000 0.96881 0.000 1.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 2 0.0000 0.96881 0.000 1.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 2 0.0000 0.96881 0.000 1.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 1 0.0000 0.96118 1.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 2 0.0000 0.96881 0.000 1.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 2 0.0000 0.96881 0.000 1.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 2 0.0000 0.96881 0.000 1.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 2 0.0000 0.96881 0.000 1.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 1 0.6887 0.78847 0.816 0.184
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 2 0.0000 0.96881 0.000 1.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.8555 0.63932 0.720 0.280
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 2 0.0000 0.96881 0.000 1.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 2 0.0000 0.96881 0.000 1.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.9129 0.54376 0.672 0.328
#> D210EB84-3824-4D30-85B5-CD3BA710C170 2 0.0000 0.96881 0.000 1.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 2 0.0000 0.96881 0.000 1.000
#> AA273C14-F561-46DA-A645-429A1112FC50 2 0.0000 0.96881 0.000 1.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.0000 0.96118 1.000 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.1184 0.95087 0.984 0.016
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 1 0.0000 0.96118 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 1 0.0000 0.96118 1.000 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 2 0.0000 0.96881 0.000 1.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 2 0.0000 0.96881 0.000 1.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.6887 0.78864 0.816 0.184
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.0000 0.96118 1.000 0.000
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0000 0.96118 1.000 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 2 0.0000 0.96881 0.000 1.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 2 0.0000 0.96881 0.000 1.000
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 2 0.0000 0.96881 0.000 1.000
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 2 0.0000 0.96881 0.000 1.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 2 0.0000 0.96881 0.000 1.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.9988 0.08488 0.520 0.480
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 1 0.0000 0.96118 1.000 0.000
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 2 0.0000 0.96881 0.000 1.000
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 2 0.0000 0.96881 0.000 1.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 2 0.0000 0.96881 0.000 1.000
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 1 0.0000 0.96118 1.000 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 2 0.0000 0.96881 0.000 1.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 2 0.0000 0.96881 0.000 1.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 2 0.0000 0.96881 0.000 1.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.0000 0.96118 1.000 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.8661 0.62392 0.712 0.288
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.2423 0.93287 0.960 0.040
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0000 0.96118 1.000 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.9552 0.39221 0.376 0.624
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 2 0.0000 0.96881 0.000 1.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 2 0.0000 0.96881 0.000 1.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.9358 0.49005 0.648 0.352
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.0000 0.96118 1.000 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 2 0.0000 0.96881 0.000 1.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 2 0.0000 0.96881 0.000 1.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 2 0.4161 0.89154 0.084 0.916
#> 9F93BF19-4B00-4828-AACD-10B455706954 2 0.0000 0.96881 0.000 1.000
#> 19269152-7784-4394-A595-6F0A22F0F576 2 0.0376 0.96559 0.004 0.996
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 1 0.0000 0.96118 1.000 0.000
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.4939 0.87375 0.892 0.108
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 2 0.0000 0.96881 0.000 1.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 2 0.0000 0.96881 0.000 1.000
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 2 0.0000 0.96881 0.000 1.000
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.0000 0.96118 1.000 0.000
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.5059 0.86937 0.888 0.112
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 2 0.7299 0.73978 0.204 0.796
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 2 0.0000 0.96881 0.000 1.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 1 0.0000 0.96118 1.000 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 1 0.0000 0.96118 1.000 0.000
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 2 0.0000 0.96881 0.000 1.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 2 0.0000 0.96881 0.000 1.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 2 0.0000 0.96881 0.000 1.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.0000 0.96118 1.000 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 1 0.0000 0.96118 1.000 0.000
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 2 0.0000 0.96881 0.000 1.000
#> 5A6AF013-C47E-41BE-9102-07E49330D451 1 0.0000 0.96118 1.000 0.000
#> 814B2873-3E3E-419E-BA53-F65E322D9338 1 0.0000 0.96118 1.000 0.000
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 2 0.0000 0.96881 0.000 1.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 1 0.0000 0.96118 1.000 0.000
#> C005AC37-1D6F-4B02-AC2C-79131163CFCC 2 0.0000 0.96881 0.000 1.000
#> 27417147-5756-4763-84C7-5D3E16E329D0 2 0.0000 0.96881 0.000 1.000
#> F6438B55-1AD1-4D33-B93B-2EFABD408B1D 1 0.0000 0.96118 1.000 0.000
#> 0C8678AD-C771-463A-B9BD-27D1F8F7E5FC 2 0.0000 0.96881 0.000 1.000
#> C4222F37-20C5-4E53-B9EE-6EE33DB7486A 2 0.0000 0.96881 0.000 1.000
#> 69731005-F0C8-49FA-82CD-8071B76DC33B 2 0.0000 0.96881 0.000 1.000
#> 4B3B23DA-6F2E-4B0D-A4D8-5B6E75321A9E 1 0.0000 0.96118 1.000 0.000
#> 732A7C19-E0DF-4BB3-A856-F0467B949F54 2 0.0000 0.96881 0.000 1.000
#> 43AB0A66-C7D6-4791-BE3D-EE41FED714D8 2 0.0000 0.96881 0.000 1.000
#> 44FB9517-2965-4ED0-8F01-919573276D81 2 0.0000 0.96881 0.000 1.000
#> 9C8760C9-ABD0-448F-B8FB-5AEE16691356 2 0.0000 0.96881 0.000 1.000
#> E75FDDB8-3646-48FF-B4A0-C427624A2C15 2 0.0000 0.96881 0.000 1.000
#> 8C256907-90C6-4653-9D5E-A770ACA4616F 1 0.6148 0.82763 0.848 0.152
#> 506ED4B1-AF5E-4A19-9219-CD57A93B8E8C 1 0.6343 0.81786 0.840 0.160
#> 189E3660-4816-40D0-A0F7-39A958CB6599 1 0.0000 0.96118 1.000 0.000
#> E45A1A52-4285-492D-A868-EB18DE119DF3 1 0.0000 0.96118 1.000 0.000
#> FE7EDCFE-DFB0-4541-A3CE-E916C34718AD 1 0.0000 0.96118 1.000 0.000
#> 2DDDBB5D-DD6C-4297-895F-4110E8A015CF 2 0.0000 0.96881 0.000 1.000
#> BA13DBB0-FDCB-49A3-9F5D-4C13CECBC34C 2 0.0000 0.96881 0.000 1.000
#> 5468EBBE-07B2-4C97-92C0-C776C7C6D9D6 2 0.0000 0.96881 0.000 1.000
#> 104686BC-6DF3-4E80-AA90-C8FD7B9CCEAC 2 0.6438 0.79897 0.164 0.836
#> 3C994968-8C59-4495-975F-D39C908559CE 1 0.0000 0.96118 1.000 0.000
#> 76BCDD5C-44E4-497C-8F8B-283C417EC508 2 0.0000 0.96881 0.000 1.000
#> 1080DF15-089E-449F-BEC3-2D6746B6001D 2 0.1184 0.95563 0.016 0.984
#> D0F7931B-2253-486C-992C-1F3D1C98903B 1 0.0000 0.96118 1.000 0.000
#> 2223BABC-8D59-45D6-8592-A6EB8BAC366B 1 0.6973 0.78345 0.812 0.188
#> 3EAC4354-09AE-4702-880D-45AB4D98AC2E 1 0.4690 0.88154 0.900 0.100
#> 2EFA429F-109D-4C0A-A40A-470412A5E86B 1 0.0000 0.96118 1.000 0.000
#> C6EE6B0F-F750-4DDA-8BBD-182A78D08AE8 2 0.0000 0.96881 0.000 1.000
#> D7BDD084-48D7-4C09-9EC1-1B50979ED671 2 0.0000 0.96881 0.000 1.000
#> 8ACA6D79-3EA3-4700-A41B-D847BD612B57 2 0.0000 0.96881 0.000 1.000
#> B72C49FD-8306-46E7-940A-D2A5B2C8FEEE 2 0.0000 0.96881 0.000 1.000
#> D6988F7F-9D15-466E-9586-018C41098A3F 1 0.0000 0.96118 1.000 0.000
#> 0F886D5B-F83E-4D3B-9A3E-2B79F72B71F9 2 0.9087 0.52640 0.324 0.676
#> 1E94A972-6D45-48B0-B12F-B7C449D05387 1 0.0000 0.96118 1.000 0.000
#> D3867B92-BBC2-4A70-8ED6-B0FFF7E4A34C 2 0.0000 0.96881 0.000 1.000
#> ED5F8AA1-59A0-423E-A5DE-9A3028BDDCC8 1 0.0000 0.96118 1.000 0.000
#> C069BF22-CE39-4BFA-A53B-3B095FD62036 2 0.8608 0.60673 0.284 0.716
#> 80C88C65-63DF-4965-8EF9-F49D4D9FFB08 2 0.0000 0.96881 0.000 1.000
#> 5191A0A3-29D1-4FA4-AEB3-DEB8648AF9BA 1 0.0000 0.96118 1.000 0.000
#> 54C50491-598E-430B-A04C-AE42D003FE9E 2 0.1843 0.94525 0.028 0.972
#> 97760901-125D-40BE-A178-AD0CB13B8BAD 1 0.0000 0.96118 1.000 0.000
#> 7F3B9867-5120-408A-95E1-E37FEC8B0CAD 2 0.0000 0.96881 0.000 1.000
#> 6D14C648-CE48-4C9B-B2DD-ED378F0943F1 1 0.0000 0.96118 1.000 0.000
#> B2CF6502-73D8-49AA-A3A5-C34F808B4172 2 0.0000 0.96881 0.000 1.000
#> 66118705-E4C6-4641-9294-27E0D580A18E 2 0.0000 0.96881 0.000 1.000
#> 233C9F66-C27A-4C57-81CB-D43E5B94D5DD 1 0.0000 0.96118 1.000 0.000
#> BCE80114-27B0-4318-9AF1-D8FDF85FFD9C 1 0.0000 0.96118 1.000 0.000
#> 9F68C7B1-2778-4A19-A92D-A84198806569 2 0.9393 0.44278 0.356 0.644
#> 754F721E-F29A-42F2-80FB-FA0DB78805A2 1 0.0000 0.96118 1.000 0.000
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#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 1 0.0000 0.96118 1.000 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 1 0.0000 0.96118 1.000 0.000
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 1 0.0000 0.96118 1.000 0.000
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 1 0.0000 0.96118 1.000 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 2 0.0000 0.96881 0.000 1.000
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 2 0.0000 0.96881 0.000 1.000
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 2 0.0000 0.96881 0.000 1.000
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.0938 0.95354 0.988 0.012
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 2 0.0000 0.96881 0.000 1.000
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 2 0.0000 0.96881 0.000 1.000
#> 93C1A410-3517-4019-A00F-B46F05A8B514 1 0.9044 0.55300 0.680 0.320
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.7815 0.69700 0.232 0.768
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 1 0.0000 0.96118 1.000 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 2 0.0000 0.96881 0.000 1.000
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 2 0.0000 0.96881 0.000 1.000
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 2 0.0000 0.96881 0.000 1.000
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0000 0.96118 1.000 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 1 0.0000 0.96118 1.000 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.5519 0.85358 0.872 0.128
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 2 0.0000 0.96881 0.000 1.000
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 2 0.0000 0.96881 0.000 1.000
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 2 0.0000 0.96881 0.000 1.000
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 2 0.0000 0.96881 0.000 1.000
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 2 0.0000 0.96881 0.000 1.000
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 1 0.0000 0.96118 1.000 0.000
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 2 0.0000 0.96881 0.000 1.000
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 2 0.0000 0.96881 0.000 1.000
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 2 0.4022 0.89518 0.080 0.920
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 2 0.0000 0.96881 0.000 1.000
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 2 0.0000 0.96881 0.000 1.000
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 2 0.0000 0.96881 0.000 1.000
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 1 0.0000 0.96118 1.000 0.000
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 2 0.1414 0.95217 0.020 0.980
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 2 0.5946 0.82275 0.144 0.856
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 2 0.0000 0.96881 0.000 1.000
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.7883 0.69494 0.236 0.764
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 2 0.0000 0.96881 0.000 1.000
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 2 0.0000 0.96881 0.000 1.000
#> F18497E5-C192-4A7A-9C22-263681E797DF 2 0.0000 0.96881 0.000 1.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 2 0.0000 0.96881 0.000 1.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 1 0.0000 0.96118 1.000 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 2 0.0000 0.96881 0.000 1.000
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 2 0.0000 0.96881 0.000 1.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 1 0.0000 0.96118 1.000 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 1 0.0000 0.96118 1.000 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 2 0.0000 0.96881 0.000 1.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 1 0.0000 0.96118 1.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 2 0.0000 0.96881 0.000 1.000
#> 06CCB23C-062F-421D-A04A-394AE7F55987 2 0.0000 0.96881 0.000 1.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 1 0.0000 0.96118 1.000 0.000
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5178 0.85621 0.116 0.884
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 1 0.0000 0.96118 1.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 2 0.0000 0.96881 0.000 1.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 2 0.0000 0.96881 0.000 1.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 2 0.0000 0.96881 0.000 1.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 2 0.0000 0.96881 0.000 1.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 2 0.0000 0.96881 0.000 1.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 2 0.0000 0.96881 0.000 1.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.0000 0.96118 1.000 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 2 0.0000 0.96881 0.000 1.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 1 0.0000 0.96118 1.000 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 2 0.0000 0.96881 0.000 1.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 2 0.0000 0.96881 0.000 1.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 2 0.0000 0.96881 0.000 1.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.6623 0.80339 0.828 0.172
#> 05E020C8-143D-430E-AADB-5480FDF25F62 1 0.0000 0.96118 1.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 2 0.0000 0.96881 0.000 1.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 2 0.0000 0.96881 0.000 1.000
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 2 0.0000 0.96881 0.000 1.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 1 0.0000 0.96118 1.000 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.6973 0.78328 0.812 0.188
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 2 0.0000 0.96881 0.000 1.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 2 0.5629 0.83755 0.132 0.868
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 1 0.0672 0.95629 0.992 0.008
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 1 0.0000 0.96118 1.000 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 1 0.0000 0.96118 1.000 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 2 0.0000 0.96881 0.000 1.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 1 0.0000 0.96118 1.000 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 2 0.0000 0.96881 0.000 1.000
#> 087A928E-FB5A-496C-8967-877899416E94 2 0.0000 0.96881 0.000 1.000
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.0000 0.96118 1.000 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 2 0.0000 0.96881 0.000 1.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.0000 0.96118 1.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 2 0.0000 0.96881 0.000 1.000
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 2 0.0000 0.96881 0.000 1.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 1 0.6801 0.79354 0.820 0.180
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 1 0.0000 0.96118 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.0747 0.8434 0.000 0.984 0.016
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.4002 0.7296 0.000 0.160 0.840
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.6180 0.3893 0.584 0.000 0.416
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.0892 0.8424 0.000 0.980 0.020
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.3192 0.7766 0.000 0.112 0.888
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.4702 0.6951 0.788 0.000 0.212
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.0592 0.8303 0.012 0.000 0.988
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 1 0.9663 0.3608 0.456 0.236 0.308
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.3425 0.7020 0.884 0.112 0.004
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4002 0.7293 0.840 0.000 0.160
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0892 0.8281 0.020 0.000 0.980
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0000 0.8309 0.000 0.000 1.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 3 0.2550 0.8145 0.012 0.056 0.932
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 2 0.9159 0.1264 0.328 0.508 0.164
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 1 0.5656 0.6350 0.728 0.008 0.264
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 3 0.6680 -0.1097 0.484 0.008 0.508
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.5431 0.6343 0.284 0.716 0.000
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 1 0.1031 0.7445 0.976 0.024 0.000
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 3 0.2550 0.8231 0.024 0.040 0.936
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 1 0.7562 0.5598 0.628 0.064 0.308
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 3 0.6229 0.4197 0.340 0.008 0.652
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0424 0.8309 0.008 0.000 0.992
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 3 0.5497 0.7389 0.148 0.048 0.804
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.0237 0.8311 0.004 0.000 0.996
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0237 0.8446 0.000 0.996 0.004
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 3 0.0892 0.8282 0.000 0.020 0.980
#> BFF05691-3DC6-4666-A586-5DA826190D0C 3 0.1170 0.8300 0.016 0.008 0.976
#> A727EECD-701F-49C2-A98D-6A85179053B3 3 0.2066 0.8117 0.000 0.060 0.940
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0424 0.8309 0.008 0.000 0.992
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 2 0.8752 0.3304 0.144 0.564 0.292
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0237 0.8311 0.004 0.000 0.996
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.3845 0.7553 0.872 0.012 0.116
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 3 0.0747 0.8288 0.000 0.016 0.984
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 3 0.3295 0.7844 0.096 0.008 0.896
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 1 0.1015 0.7560 0.980 0.008 0.012
#> D210EB84-3824-4D30-85B5-CD3BA710C170 3 0.5926 0.3713 0.356 0.000 0.644
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 3 0.6307 -0.0915 0.488 0.000 0.512
#> AA273C14-F561-46DA-A645-429A1112FC50 3 0.1964 0.8123 0.056 0.000 0.944
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 1 0.5058 0.4439 0.756 0.244 0.000
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 1 0.0592 0.7490 0.988 0.012 0.000
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.0000 0.8445 0.000 1.000 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 2 0.3412 0.7799 0.000 0.876 0.124
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.3644 0.7648 0.004 0.124 0.872
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 3 0.2845 0.8054 0.068 0.012 0.920
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 1 0.7451 0.5726 0.636 0.060 0.304
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 1 0.3253 0.7513 0.912 0.052 0.036
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 1 0.0892 0.7462 0.980 0.020 0.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 3 0.5591 0.5008 0.304 0.000 0.696
#> F1933C33-752A-40B8-B776-84A5EA7F1566 1 0.5623 0.6173 0.716 0.004 0.280
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.6180 0.3818 0.584 0.000 0.416
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 3 0.1529 0.8220 0.040 0.000 0.960
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.0424 0.8309 0.008 0.000 0.992
#> 3B42E276-2FB9-4891-A188-911267B1479C 1 0.1015 0.7541 0.980 0.012 0.008
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.1878 0.8347 0.044 0.952 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 1 0.4346 0.7150 0.816 0.000 0.184
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 1 0.6305 0.1882 0.516 0.000 0.484
#> 97A2A7FD-9C45-4375-991E-28542A859888 1 0.4452 0.7109 0.808 0.000 0.192
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0475 0.8451 0.004 0.992 0.004
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 3 0.4692 0.7155 0.168 0.012 0.820
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.6225 0.3298 0.568 0.000 0.432
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 3 0.5968 0.3584 0.364 0.000 0.636
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 1 0.5785 0.2291 0.668 0.332 0.000
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 1 0.0848 0.7545 0.984 0.008 0.008
#> E475009E-2082-43DF-903D-7B85D9DF0587 1 0.0592 0.7490 0.988 0.012 0.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 1 0.0747 0.7477 0.984 0.016 0.000
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.6215 0.2618 0.000 0.572 0.428
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0747 0.8303 0.016 0.000 0.984
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 3 0.4968 0.6856 0.188 0.012 0.800
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 1 0.3755 0.7519 0.872 0.008 0.120
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 1 0.1753 0.7298 0.952 0.048 0.000
#> D65DB90F-4495-467D-A204-F67996E1E515 3 0.2939 0.8055 0.012 0.072 0.916
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.0237 0.8311 0.004 0.000 0.996
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 1 0.0424 0.7542 0.992 0.000 0.008
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.0424 0.8301 0.000 0.008 0.992
#> 19269152-7784-4394-A595-6F0A22F0F576 1 0.6062 0.4362 0.616 0.000 0.384
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 2 0.8104 0.5155 0.280 0.616 0.104
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 1 0.1877 0.7606 0.956 0.012 0.032
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0592 0.8303 0.012 0.000 0.988
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 3 0.1620 0.8276 0.012 0.024 0.964
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 1 0.6252 0.3150 0.556 0.000 0.444
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.6632 0.6351 0.732 0.204 0.064
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 1 0.0592 0.7490 0.988 0.012 0.000
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.4974 0.6612 0.764 0.000 0.236
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 3 0.6857 0.5893 0.252 0.052 0.696
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 2 0.4179 0.8052 0.052 0.876 0.072
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 2 0.0747 0.8434 0.000 0.984 0.016
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.1525 0.8236 0.004 0.032 0.964
#> A07AEAE4-FB94-4902-9857-8686C61920E0 3 0.0592 0.8306 0.012 0.000 0.988
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 3 0.1289 0.8247 0.000 0.032 0.968
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 1 0.5591 0.4861 0.696 0.304 0.000
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.3686 0.7777 0.140 0.860 0.000
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#> 202EE6AA-5CB4-4452-9404-A470FF2C32E0 3 0.0661 0.8312 0.004 0.008 0.988
#> 04399C3A-6BBF-42B8-AA6C-F369DBE50899 1 0.0237 0.7532 0.996 0.000 0.004
#> C576FF0D-B291-4935-9DA3-628EDCE1F732 1 0.0829 0.7512 0.984 0.012 0.004
#> BDAA3946-AFE8-44B7-A750-97CDAC3812AA 1 0.2878 0.6912 0.904 0.096 0.000
#> 1E522D80-4D5C-4F1E-9EA8-572AE88584E4 2 0.4047 0.7364 0.148 0.848 0.004
#> AE6AFB55-6D43-46C1-9EC7-162CBB5F1613 3 0.1753 0.8174 0.000 0.048 0.952
#> 07C26D79-2D05-40E8-948E-1AF23F6438C3 2 0.3349 0.7899 0.004 0.888 0.108
#> 678726DB-073F-466D-916A-7982944A81BA 3 0.6079 0.2798 0.388 0.000 0.612
#> CF10BFCD-7D0A-4225-A432-4277EB57E382 2 0.0592 0.8440 0.000 0.988 0.012
#> 433C9C2A-82B5-4F60-A88D-7B1831B80E71 3 0.3845 0.7692 0.012 0.116 0.872
#> B0AEB538-7E5C-4E96-B1ED-82B4F4FE17FD 3 0.5529 0.5016 0.000 0.296 0.704
#> 2B930936-4A32-42CA-80EA-58F2589CF2DB 2 0.4399 0.7161 0.000 0.812 0.188
#> 60155568-AFE8-4484-AC17-DFEC4726FBE8 1 0.0747 0.7477 0.984 0.016 0.000
#> BF66401A-BC04-499A-B3FB-6FEEC1EE548A 3 0.0000 0.8309 0.000 0.000 1.000
#> CC305265-39E2-456D-A2D8-298FDC31ACE2 3 0.1015 0.8302 0.008 0.012 0.980
#> 42D8A070-4325-4866-BE48-841CAA2B28C9 1 0.1860 0.7646 0.948 0.000 0.052
#> 52FFD395-7187-43C6-8B50-3E53BCFB1B2C 3 0.5835 0.4210 0.340 0.000 0.660
#> 699B744D-3C1C-44BE-B842-D6F76D5996BA 2 0.1525 0.8396 0.032 0.964 0.004
#> 9669AE6E-11F6-4730-928E-63B5D5D4EAB1 3 0.0592 0.8303 0.012 0.000 0.988
#> CC79A4CA-9FF2-4903-A68B-AEE27A4EDA94 2 0.0592 0.8440 0.000 0.988 0.012
#> A65C12ED-B742-4E5F-B361-649CF7D7BCBC 3 0.2200 0.8144 0.004 0.056 0.940
#> 2C1098C7-D1BE-46B0-9DDD-63EE9C7A8F1F 3 0.0424 0.8308 0.000 0.008 0.992
#> 1336A625-1DDA-40B0-B67B-5FC25F6381EC 2 0.1529 0.8349 0.040 0.960 0.000
#> 2A83ED2A-FDA2-4DD1-B3D0-46B826322849 2 0.0424 0.8443 0.008 0.992 0.000
#> 483636E5-744F-4BB0-83CF-DA2B504A2B60 2 0.2537 0.8151 0.080 0.920 0.000
#> 288A5E74-1800-4C29-814C-FCD749DD69D5 1 0.6307 0.1734 0.512 0.000 0.488
#> 2908E927-F233-446D-AED9-D26F36013EDA 2 0.1163 0.8397 0.028 0.972 0.000
#> 6B4435DC-066C-4BD2-A83C-43C3437EB998 3 0.7156 0.1763 0.400 0.028 0.572
#> 578F3E77-E8BD-40DE-9F5E-603C85BFA009 1 0.6280 0.2455 0.540 0.000 0.460
#> DA323A03-098E-477A-AE52-FEA2CC28C4B0 1 0.8777 0.5293 0.564 0.148 0.288
#> 0F67D713-5BCD-4C0B-A9FC-3FAA68C8C208 3 0.5244 0.6174 0.240 0.004 0.756
#> 577E5B95-C657-43E4-955A-4E5152901661 3 0.1163 0.8256 0.000 0.028 0.972
#> 445376A2-DB83-4BF9-923A-3057D7994097 1 0.5621 0.2942 0.692 0.308 0.000
#> 8430DA8A-AEF6-40A2-B298-9EE519B112B6 1 0.2796 0.7111 0.908 0.092 0.000
#> 6F188BFE-5AAE-4761-A656-E78AE1A93B12 1 0.2796 0.6907 0.908 0.092 0.000
#> E2231E13-0E1C-486F-83AD-8FE7C3D3E0AD 3 0.5810 0.4296 0.336 0.000 0.664
#> 4D145415-3538-4C9F-8514-D519F8655F07 1 0.1964 0.7645 0.944 0.000 0.056
#> F93481C3-1054-44AD-8D70-3639E7921F74 2 0.0661 0.8451 0.008 0.988 0.004
#> 11EFCB89-9776-41BB-B4B5-7B727619E087 1 0.6204 0.3697 0.576 0.000 0.424
#> 72E11C03-D4E0-47DD-B89B-287AC907DBD1 3 0.8972 0.0787 0.412 0.128 0.460
#> DB4E7EEC-8704-4D23-BDBD-CF7B159F03C4 3 0.0000 0.8309 0.000 0.000 1.000
#> 18109400-AD37-431D-A548-BB08CDF027A9 3 0.7114 0.3060 0.388 0.028 0.584
#> CC5A0E23-52C8-475E-97EA-A52A1D0B9A01 1 0.1529 0.7352 0.960 0.040 0.000
#> 2BEA18CB-DCDD-43B7-815F-D4ABF905F603 3 0.1753 0.8181 0.000 0.048 0.952
#> BCEE6F44-B8F0-454B-9862-6B9EE7513106 3 0.3412 0.7663 0.000 0.124 0.876
#> 8C4EC6C8-85A5-48EC-8629-5FC1C71A926B 3 0.2486 0.8125 0.008 0.060 0.932
#> 5B829E46-AD17-40DD-98E6-7EF9B2298CC4 2 0.0592 0.8440 0.000 0.988 0.012
#> E1FC830E-A99A-4A72-A45E-833C8D9D2C43 2 0.2096 0.8287 0.004 0.944 0.052
#> CC3D3C2B-19E5-40A2-A2D0-383A7038DB9B 1 0.5178 0.4191 0.744 0.256 0.000
#> 1E2B9409-5FF4-4FA8-B644-3AB134AA220C 1 0.5016 0.6691 0.760 0.000 0.240
#> 2CC131C1-1144-4F09-A650-C41799F107F7 3 0.0592 0.8303 0.012 0.000 0.988
#> 0FEBB00A-BE4A-42B6-870C-B3D489200B2F 1 0.5905 0.5189 0.648 0.000 0.352
#> 6A1AF2D2-4E48-4137-ACAD-85A76FDF5B18 1 0.0424 0.7542 0.992 0.000 0.008
#> 45D5BA9C-3B1D-4C97-AF92-CDD7B06517ED 3 0.3340 0.7698 0.000 0.120 0.880
#> C6356880-54BE-402B-8DAB-5F6AF45AFADD 1 0.0237 0.7532 0.996 0.000 0.004
#> 0784F46F-9363-44E9-8799-CC7E5B3FA396 3 0.2448 0.8023 0.000 0.076 0.924
#> A6C6DC04-D988-47D5-B562-2E4C4E35D193 3 0.6308 -0.1043 0.492 0.000 0.508
#> E706EE8E-EBC7-4BCD-B2FE-8D5BDDB6D2C8 1 0.0237 0.7532 0.996 0.000 0.004
#> B195EF34-007B-482B-A2B4-3FDAC6B81874 3 0.0661 0.8304 0.004 0.008 0.988
#> 2426AB48-FBD3-41A0-90AE-84F7FC3AF673 2 0.2280 0.8264 0.008 0.940 0.052
#> A95868A5-84D9-4538-843D-35FC17E37141 2 0.6309 0.2806 0.500 0.500 0.000
#> B5C5ACFD-D906-4634-ABEA-AFA643124A2B 3 0.0000 0.8309 0.000 0.000 1.000
#> 7884FCE9-8A05-45FC-AA1C-68D021C56368 1 0.6608 0.3154 0.560 0.008 0.432
#> 0355357A-FEA8-478D-9AF5-0984BF6AC25D 3 0.1170 0.8295 0.008 0.016 0.976
#> 3433BDF5-ED39-4F7F-A5EA-A13F277CB8E5 3 0.0237 0.8311 0.004 0.000 0.996
#> F8F7598E-86E5-4DC9-A874-F4DDED490338 2 0.0592 0.8450 0.012 0.988 0.000
#> 9ECD0F8A-3D97-4CF0-9A95-A34CA9E3306A 1 0.3445 0.7282 0.896 0.088 0.016
#> 837A8B49-DAA6-4C0E-AB61-FB1E15DFB0A7 1 0.3116 0.7529 0.892 0.000 0.108
#> 910A72ED-76BA-4362-9EDA-A1EE6A2C751E 1 0.7145 0.6431 0.692 0.072 0.236
#> 0BAFD643-B51E-4C4B-913A-55A3C4321F2A 3 0.9178 0.4434 0.220 0.240 0.540
#> 7847E952-D2AD-4D55-A90A-21DEFCAA63D8 1 0.1860 0.7565 0.948 0.000 0.052
#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.2448 0.8170 0.076 0.924 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.0892 0.8422 0.000 0.980 0.020
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.7918 -0.0587 0.460 0.484 0.056
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.4702 0.7129 0.212 0.788 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 3 0.6215 0.1535 0.428 0.000 0.572
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 3 0.6483 0.0401 0.452 0.004 0.544
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 3 0.0592 0.8303 0.012 0.000 0.988
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.1170 0.7524 0.976 0.016 0.008
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 1 0.6309 0.1394 0.500 0.000 0.500
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 3 0.4099 0.7517 0.008 0.140 0.852
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.3619 0.7698 0.000 0.864 0.136
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.6260 0.2498 0.000 0.552 0.448
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.5754 0.5180 0.296 0.700 0.004
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 3 0.7582 0.3149 0.380 0.048 0.572
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 3 0.1015 0.8319 0.012 0.008 0.980
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 3 0.1015 0.8302 0.008 0.012 0.980
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.0747 0.7477 0.984 0.016 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.6168 0.4567 0.412 0.588 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0592 0.7490 0.988 0.012 0.000
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.6192 0.3802 0.580 0.000 0.420
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.0424 0.8309 0.008 0.000 0.992
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 1 0.6079 0.4329 0.612 0.000 0.388
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 3 0.6286 0.0119 0.464 0.000 0.536
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.0424 0.8309 0.008 0.000 0.992
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.0424 0.8442 0.000 0.992 0.008
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 1 0.6204 0.3583 0.576 0.000 0.424
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 3 0.5882 0.3980 0.348 0.000 0.652
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.4682 0.7054 0.804 0.004 0.192
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 1 0.6225 0.3394 0.568 0.000 0.432
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.6629 0.3310 0.016 0.360 0.624
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.0424 0.8313 0.008 0.000 0.992
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.1031 0.8408 0.000 0.976 0.024
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 1 0.6204 0.3440 0.576 0.000 0.424
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0424 0.7550 0.992 0.000 0.008
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 3 0.0424 0.8309 0.008 0.000 0.992
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 3 0.5285 0.6017 0.004 0.244 0.752
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 3 0.3263 0.8149 0.048 0.040 0.912
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.1491 0.8301 0.016 0.016 0.968
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.5706 0.4664 0.320 0.000 0.680
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.7276 0.6542 0.104 0.192 0.704
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0592 0.8437 0.012 0.988 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 1 0.6274 0.2936 0.544 0.000 0.456
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 3 0.5480 0.5776 0.264 0.004 0.732
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4164 0.7771 0.144 0.848 0.008
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.0747 0.8434 0.000 0.984 0.016
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.5835 0.4201 0.340 0.000 0.660
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.5835 0.5654 0.340 0.660 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 3 0.3192 0.7719 0.112 0.000 0.888
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0592 0.8300 0.000 0.012 0.988
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6359 0.5262 0.364 0.628 0.008
#> 39691679-6FEB-4767-8718-81CDB63E625F 3 0.6235 0.1385 0.000 0.436 0.564
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0424 0.8443 0.008 0.992 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0237 0.8311 0.004 0.000 0.996
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0592 0.8308 0.012 0.000 0.988
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 3 0.6954 0.3899 0.352 0.028 0.620
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.6307 0.1534 0.512 0.000 0.488
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0592 0.8303 0.012 0.000 0.988
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.0424 0.8309 0.008 0.000 0.992
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.1860 0.7263 0.948 0.052 0.000
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 3 0.2569 0.8240 0.032 0.032 0.936
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.3816 0.7708 0.148 0.852 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 3 0.5291 0.5699 0.268 0.000 0.732
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 3 0.1919 0.8278 0.024 0.020 0.956
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 3 0.7124 0.5124 0.296 0.048 0.656
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.1877 0.7608 0.956 0.012 0.032
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0592 0.8443 0.012 0.988 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.0592 0.8307 0.012 0.000 0.988
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.6168 0.3990 0.588 0.000 0.412
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 3 0.2879 0.8151 0.052 0.024 0.924
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.4062 0.7564 0.164 0.836 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.5585 0.7297 0.812 0.092 0.096
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 3 0.3129 0.7899 0.088 0.008 0.904
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 3 0.3845 0.7799 0.012 0.116 0.872
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 2 0.5843 0.5940 0.016 0.732 0.252
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.0424 0.8442 0.000 0.992 0.008
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.5733 0.5260 0.324 0.676 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.0424 0.8309 0.008 0.000 0.992
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.2165 0.8205 0.000 0.936 0.064
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6033 0.4036 0.004 0.336 0.660
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.2261 0.7605 0.932 0.000 0.068
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2066 0.7201 0.940 0.060 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 3 0.6410 0.1754 0.420 0.004 0.576
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 2 0.6520 0.0327 0.488 0.508 0.004
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.5397 0.6257 0.720 0.000 0.280
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 3 0.6500 0.0383 0.464 0.004 0.532
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5138 0.6231 0.000 0.748 0.252
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1647 0.8381 0.036 0.960 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4406 0.61579 0.000 0.700 0.000 0.300
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 4 0.2466 0.50567 0.000 0.056 0.028 0.916
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 3 0.4422 0.49425 0.256 0.000 0.736 0.008
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.1474 0.81769 0.000 0.948 0.000 0.052
#> 622A8E32-1738-4F33-9108-39573001E650 4 0.3443 0.39908 0.000 0.016 0.136 0.848
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 1 0.3873 0.64067 0.772 0.000 0.000 0.228
#> FAE38724-0757-45E5-818D-9DFE1C132796 4 0.4961 -0.29853 0.000 0.000 0.448 0.552
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.6686 0.15635 0.388 0.092 0.000 0.520
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 1 0.4417 0.68694 0.796 0.160 0.044 0.000
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.4855 0.34336 0.600 0.000 0.400 0.000
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.4843 0.54711 0.000 0.000 0.604 0.396
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#> DDB54208-10D5-4B8E-A6A9-5574D888CF47 2 0.0336 0.82207 0.000 0.992 0.008 0.000
#> 229B786F-7955-409B-A85D-A33D5810F519 2 0.4855 0.46036 0.000 0.600 0.000 0.400
#> BDFD7720-C450-4AAE-87C8-1DE4DCD80DA1 2 0.6449 0.19082 0.360 0.580 0.032 0.028
#> B9D00918-34DC-4061-AC22-C5E2D5099D30 2 0.1452 0.81263 0.036 0.956 0.008 0.000
#> 642EDE94-6487-436A-B9F2-A691064CEDE9 3 0.3907 0.57618 0.140 0.000 0.828 0.032
#> B9E39F41-722E-40C0-8A2D-0AC960F5FCD1 3 0.7585 0.25431 0.288 0.012 0.528 0.172
#> 5022EF37-01A6-473F-B246-BFB0D07BF770 4 0.4925 -0.25026 0.000 0.000 0.428 0.572
#> 5B3B61FE-EEA5-46C3-BC4E-BB9A880E4407 1 0.2124 0.74132 0.924 0.008 0.068 0.000
#> B8B2E163-43C2-444B-ABAD-6E37E1AB728A 3 0.4149 0.58213 0.152 0.000 0.812 0.036
#> 320D9BB6-695B-4C9B-9FC6-B3940C7F866B 4 0.4139 0.60622 0.176 0.024 0.000 0.800
#> 93C1A410-3517-4019-A00F-B46F05A8B514 2 0.3271 0.77909 0.000 0.856 0.012 0.132
#> 6C37D7EC-2515-470F-ABF7-B71AF39218BF 2 0.7188 0.06779 0.000 0.432 0.136 0.432
#> 664C4C3F-B66E-4457-A25B-6E3095CF21F2 2 0.5923 0.41790 0.044 0.580 0.376 0.000
#> 4B64F7BD-77DC-4C0C-86CA-76528462BDB9 3 0.1576 0.60951 0.048 0.000 0.948 0.004
#> BFA1AB5C-3853-475E-AC26-23DEAFFEEC24 4 0.5165 -0.37892 0.004 0.000 0.484 0.512
#> 1184A66C-32BF-4D38-9B62-A2FF75B60A1A 4 0.3610 0.60061 0.200 0.000 0.000 0.800
#> E98F4517-DCC0-42C1-A8E9-FB2EC0BD2284 1 0.3501 0.67779 0.848 0.020 0.132 0.000
#> B55255A3-B7F5-436F-BD9D-0BF384AB4241 2 0.4905 0.47383 0.364 0.632 0.004 0.000
#> 6C04B5DB-3715-4C16-93FE-0913F9DF91EA 1 0.0817 0.75937 0.976 0.000 0.000 0.024
#> 5C82F97D-A546-4F91-880C-AA6EA8E2BCE2 1 0.6083 0.36397 0.584 0.000 0.056 0.360
#> AE7CEB64-3F85-416B-9C1B-76FBD59B0BAE 3 0.4925 0.52141 0.000 0.000 0.572 0.428
#> ED82D4D7-8CB4-4888-9AE7-49D5E0C3ABF1 3 0.4856 0.43790 0.272 0.008 0.712 0.008
#> 54CDF5FC-833E-4D77-99CE-524D98D8064E 1 0.7790 0.07312 0.420 0.000 0.264 0.316
#> FAFE15EB-1F27-47DA-BC57-2D3A4406A609 3 0.4985 0.46948 0.000 0.000 0.532 0.468
#> 764D83F3-99AC-4190-B6F6-987821A1EAB2 2 0.2589 0.78650 0.000 0.884 0.000 0.116
#> B6273F0C-F0E3-49B0-82F5-6E7AE8608CC6 3 0.5815 0.16166 0.428 0.000 0.540 0.032
#> C7A5EF62-A80F-495D-8452-AE5E21CA94BF 4 0.6685 0.37678 0.324 0.000 0.108 0.568
#> 3B85F264-8F4A-4404-8927-AF0DCA3E40AD 1 0.3751 0.64113 0.800 0.000 0.196 0.004
#> 2313E3C3-02E3-4CE4-960D-DBCF1065D42C 3 0.5649 0.25072 0.392 0.000 0.580 0.028
#> 46D3B6AF-7E64-4684-BB95-27D5B61C2475 3 0.3617 0.60140 0.000 0.064 0.860 0.076
#> 4B61FB65-A1FA-439E-A20A-D13B1B4B11FA 3 0.4877 0.53742 0.000 0.000 0.592 0.408
#> 90A24A23-B495-4BE2-8CC6-488C68BC6B4B 2 0.4830 0.47081 0.000 0.608 0.000 0.392
#> 9F617810-959E-4548-8D7D-34D5D0FB1282 3 0.5053 0.47703 0.224 0.012 0.740 0.024
#> D9B6EA9C-323A-457B-8B16-48988BB8019C 1 0.0707 0.76102 0.980 0.000 0.000 0.020
#> 6C9F2E98-05E0-4D02-A0FF-E8378C32A422 4 0.4978 -0.16189 0.004 0.000 0.384 0.612
#> 54995CE3-DD0A-4827-943F-67526A7C6AD8 2 0.6991 0.20743 0.000 0.540 0.324 0.136
#> 9BF6EE11-5481-4B38-B332-396768A0BB9E 4 0.6310 0.57827 0.180 0.016 0.112 0.692
#> E6F5B38B-B69E-48E4-9200-802BEC5E82A0 3 0.3569 0.61040 0.000 0.000 0.804 0.196
#> F18497E5-C192-4A7A-9C22-263681E797DF 3 0.2335 0.62273 0.020 0.000 0.920 0.060
#> D6517B16-37E4-4342-9639-7C8C652A01A2 3 0.2456 0.61386 0.008 0.028 0.924 0.040
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0336 0.82256 0.000 0.992 0.008 0.000
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.4585 0.40919 0.332 0.000 0.000 0.668
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.4372 0.52868 0.268 0.000 0.004 0.728
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.5536 0.45969 0.024 0.592 0.000 0.384
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.1022 0.82300 0.000 0.968 0.000 0.032
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 3 0.2494 0.62124 0.036 0.000 0.916 0.048
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.2760 0.76049 0.128 0.872 0.000 0.000
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.6050 0.56200 0.212 0.000 0.112 0.676
#> 06CCB23C-062F-421D-A04A-394AE7F55987 4 0.5000 -0.41943 0.000 0.000 0.500 0.500
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.6248 0.57849 0.260 0.640 0.000 0.100
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5147 0.35401 0.000 0.536 0.004 0.460
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0188 0.82357 0.000 0.996 0.000 0.004
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.4977 0.48195 0.000 0.000 0.540 0.460
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.4888 0.53479 0.000 0.000 0.588 0.412
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 3 0.2214 0.61473 0.044 0.000 0.928 0.028
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 3 0.2731 0.59057 0.092 0.008 0.896 0.004
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.4967 0.49346 0.000 0.000 0.548 0.452
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.4907 0.52853 0.000 0.000 0.580 0.420
#> BD96DBB9-E64A-43B1-9452-126DC0623058 1 0.2704 0.72931 0.876 0.000 0.000 0.124
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.3978 0.60192 0.192 0.012 0.000 0.796
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.1059 0.81735 0.012 0.972 0.016 0.000
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.4767 0.54483 0.256 0.000 0.020 0.724
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.3791 0.59934 0.200 0.004 0.000 0.796
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.4964 0.55471 0.244 0.000 0.032 0.724
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 3 0.5607 -0.14049 0.484 0.020 0.496 0.000
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0000 0.82315 0.000 1.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.4941 0.51241 0.000 0.000 0.564 0.436
#> F6381259-41CC-432C-9EB3-C232663DFBE2 1 0.5678 0.17789 0.524 0.000 0.024 0.452
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.4949 0.60552 0.180 0.000 0.060 0.760
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.3667 0.75745 0.056 0.856 0.088 0.000
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 1 0.4391 0.61794 0.740 0.008 0.000 0.252
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.3649 0.59878 0.204 0.000 0.000 0.796
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.5031 0.58179 0.140 0.092 0.000 0.768
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.6058 0.50920 0.180 0.136 0.000 0.684
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2921 0.77091 0.000 0.860 0.000 0.140
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.2002 0.80737 0.044 0.936 0.020 0.000
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 4 0.4961 -0.29874 0.000 0.000 0.448 0.552
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4843 0.46583 0.000 0.604 0.000 0.396
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.7297 0.46097 0.000 0.264 0.532 0.204
#> 087A928E-FB5A-496C-8967-877899416E94 1 0.1661 0.75855 0.944 0.000 0.004 0.052
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 1 0.2385 0.73587 0.920 0.052 0.028 0.000
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.4522 0.43578 0.320 0.000 0.000 0.680
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 3 0.6337 0.00148 0.068 0.380 0.552 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 1 0.4830 0.37838 0.608 0.000 0.000 0.392
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 3 0.2300 0.59844 0.064 0.016 0.920 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 4 0.4981 -0.12862 0.000 0.464 0.000 0.536
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.1118 0.81522 0.000 0.964 0.036 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4206 0.70154 0.020 0.708 0.000 0.272 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.6105 0.35718 0.024 0.076 0.548 0.352 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.6507 0.52241 0.520 0.000 0.356 0.044 0.080
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.2017 0.81188 0.008 0.912 0.000 0.080 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5469 0.48352 0.036 0.028 0.620 0.316 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 5 0.4722 0.35540 0.024 0.000 0.000 0.368 0.608
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.4203 0.69655 0.128 0.000 0.780 0.092 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 4 0.1571 0.77160 0.060 0.004 0.000 0.936 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 5 0.6442 0.54844 0.160 0.116 0.000 0.084 0.640
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.6083 0.36570 0.524 0.000 0.092 0.012 0.372
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.0290 0.84402 0.000 0.000 0.992 0.008 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.1041 0.83542 0.004 0.000 0.964 0.032 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.1787 0.75463 0.016 0.012 0.032 0.940 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.4973 0.54623 0.632 0.320 0.048 0.000 0.000
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 4 0.4800 0.68194 0.196 0.000 0.000 0.716 0.088
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.4399 0.74864 0.120 0.000 0.028 0.792 0.060
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.2914 0.74724 0.076 0.872 0.000 0.000 0.052
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 5 0.1251 0.83418 0.008 0.000 0.000 0.036 0.956
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.3033 0.72954 0.024 0.032 0.064 0.880 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.1306 0.75967 0.016 0.008 0.016 0.960 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 4 0.4183 0.62004 0.324 0.000 0.008 0.668 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.0162 0.84112 0.004 0.000 0.996 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.4109 0.61842 0.700 0.012 0.288 0.000 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.2790 0.78759 0.052 0.000 0.880 0.068 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0671 0.81808 0.004 0.980 0.000 0.016 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.4163 0.65063 0.032 0.000 0.228 0.740 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 4 0.3284 0.74989 0.148 0.000 0.024 0.828 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.2722 0.77312 0.060 0.008 0.040 0.892 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.0162 0.84424 0.000 0.000 0.996 0.004 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 4 0.3595 0.73327 0.188 0.008 0.004 0.796 0.004
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0162 0.84424 0.000 0.000 0.996 0.004 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 1 0.4702 0.52497 0.704 0.008 0.004 0.028 0.256
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.2264 0.75824 0.024 0.004 0.060 0.912 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.5711 0.52513 0.136 0.000 0.252 0.612 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 5 0.3536 0.73836 0.156 0.000 0.000 0.032 0.812
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5339 0.63658 0.660 0.000 0.224 0.116 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 4 0.3769 0.72926 0.172 0.000 0.004 0.796 0.028
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.4101 0.52452 0.628 0.000 0.372 0.000 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 5 0.0510 0.83413 0.000 0.016 0.000 0.000 0.984
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 5 0.0162 0.83973 0.004 0.000 0.000 0.000 0.996
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2824 0.79675 0.020 0.864 0.000 0.116 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4811 -0.17955 0.020 0.452 0.000 0.528 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.5094 0.60099 0.220 0.076 0.696 0.008 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.1934 0.75637 0.020 0.008 0.040 0.932 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 4 0.4039 0.72648 0.168 0.000 0.004 0.784 0.044
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 4 0.5480 0.62517 0.168 0.000 0.000 0.656 0.176
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 5 0.0000 0.83945 0.000 0.000 0.000 0.000 1.000
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.4009 0.59766 0.684 0.000 0.312 0.004 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 5 0.5900 0.19534 0.108 0.000 0.376 0.000 0.516
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 1 0.4604 0.59710 0.768 0.000 0.040 0.156 0.036
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 4 0.3937 0.75223 0.132 0.000 0.060 0.804 0.004
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.4337 0.66638 0.204 0.000 0.744 0.052 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 5 0.1399 0.82946 0.028 0.000 0.020 0.000 0.952
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 2 0.1784 0.81379 0.016 0.944 0.020 0.016 0.004
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.6767 0.09087 0.348 0.000 0.000 0.272 0.380
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 4 0.4798 0.65071 0.272 0.000 0.008 0.684 0.036
#> 97A2A7FD-9C45-4375-991E-28542A859888 5 0.2230 0.82119 0.044 0.000 0.000 0.044 0.912
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.0579 0.81713 0.008 0.984 0.000 0.008 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 4 0.1314 0.77116 0.024 0.004 0.008 0.960 0.004
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.3282 0.68587 0.804 0.000 0.188 0.008 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.3543 0.69525 0.828 0.000 0.112 0.060 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 5 0.2536 0.74929 0.004 0.128 0.000 0.000 0.868
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 5 0.3102 0.78991 0.056 0.000 0.000 0.084 0.860
#> E475009E-2082-43DF-903D-7B85D9DF0587 5 0.0000 0.83945 0.000 0.000 0.000 0.000 1.000
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 5 0.1357 0.83184 0.048 0.000 0.000 0.004 0.948
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 2 0.5412 0.37241 0.024 0.512 0.020 0.444 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.0404 0.83628 0.012 0.000 0.988 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.1725 0.77246 0.044 0.000 0.020 0.936 0.000
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#> F18497E5-C192-4A7A-9C22-263681E797DF 1 0.4192 0.47440 0.596 0.000 0.404 0.000 0.000
#> D6517B16-37E4-4342-9639-7C8C652A01A2 1 0.4696 0.67536 0.736 0.108 0.156 0.000 0.000
#> 12FD1A04-8301-4E16-9182-7BAFD4CABAE0 2 0.0771 0.81135 0.020 0.976 0.000 0.000 0.004
#> 2E4B0D7F-A3FE-444B-A1BB-7601B9BC5EE6 4 0.1200 0.77054 0.008 0.000 0.016 0.964 0.012
#> 340E7F31-BA35-43A2-9ABD-6C0B8DD3DC27 4 0.2929 0.74679 0.152 0.000 0.008 0.840 0.000
#> D0633111-2461-484D-B7FB-7DFEDEE033D5 2 0.4315 0.68976 0.024 0.700 0.000 0.276 0.000
#> B89940B1-EDF8-420C-8B28-C7EA3E00B499 2 0.2172 0.81105 0.016 0.908 0.000 0.076 0.000
#> 9FDAD50C-CCF3-43A7-A63D-1153C04A821B 1 0.4339 0.61759 0.684 0.000 0.296 0.020 0.000
#> 1B142E28-116E-4D61-94ED-9E89F6A7685D 2 0.1251 0.81168 0.008 0.956 0.000 0.000 0.036
#> BF7342A9-DD3B-4329-8C21-7EB850BF9E38 4 0.4900 0.52600 0.028 0.000 0.300 0.660 0.012
#> 06CCB23C-062F-421D-A04A-394AE7F55987 3 0.0290 0.84397 0.000 0.000 0.992 0.008 0.000
#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4500 0.75994 0.020 0.760 0.000 0.180 0.040
#> 39691679-6FEB-4767-8718-81CDB63E625F 2 0.5181 0.48177 0.020 0.564 0.016 0.400 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0162 0.81686 0.000 0.996 0.000 0.004 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0162 0.84424 0.000 0.000 0.996 0.004 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.0162 0.84424 0.000 0.000 0.996 0.004 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.3859 0.70314 0.816 0.096 0.084 0.004 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.3611 0.67713 0.780 0.004 0.208 0.008 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0162 0.84424 0.000 0.000 0.996 0.004 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.4594 0.58157 0.284 0.000 0.680 0.036 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.4219 0.71600 0.116 0.000 0.000 0.104 0.780
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.1569 0.76208 0.012 0.008 0.032 0.948 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.0693 0.81231 0.012 0.980 0.000 0.000 0.008
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.2067 0.76910 0.032 0.000 0.048 0.920 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 4 0.2006 0.77001 0.072 0.000 0.012 0.916 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 4 0.4081 0.65786 0.296 0.000 0.004 0.696 0.004
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.5739 0.46589 0.588 0.004 0.080 0.004 0.324
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0404 0.81358 0.012 0.988 0.000 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1331 0.82659 0.040 0.000 0.952 0.008 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.3853 0.74975 0.044 0.000 0.032 0.832 0.092
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 4 0.3497 0.76772 0.112 0.004 0.048 0.836 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.1978 0.78724 0.044 0.928 0.004 0.000 0.024
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 5 0.5296 0.63330 0.020 0.080 0.008 0.168 0.724
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.2353 0.74876 0.028 0.004 0.060 0.908 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.1893 0.76648 0.024 0.028 0.012 0.936 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.3404 0.67525 0.024 0.124 0.012 0.840 0.000
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.2077 0.80434 0.040 0.920 0.000 0.040 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 2 0.3606 0.78571 0.024 0.816 0.000 0.152 0.008
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.4280 0.68828 0.140 0.000 0.772 0.088 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4585 0.59299 0.020 0.628 0.000 0.352 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 3 0.6810 -0.27084 0.344 0.300 0.356 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 5 0.2514 0.81484 0.044 0.000 0.000 0.060 0.896
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 5 0.0566 0.84011 0.012 0.004 0.000 0.000 0.984
#> D6FC41FB-370B-44C0-940C-862554ECB645 4 0.1836 0.77356 0.040 0.000 0.008 0.936 0.016
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.4540 0.54978 0.656 0.320 0.024 0.000 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 4 0.4711 0.69878 0.148 0.000 0.000 0.736 0.116
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.4520 0.61890 0.684 0.032 0.284 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.4726 0.51144 0.020 0.580 0.000 0.400 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3123 0.70924 0.160 0.828 0.000 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 3DFF72D2-F292-497E-ACE3-6FAA9C884205 2 0.4490 0.4870 0.024 0.596 0.000 0.372 0.008 0.000
#> 11F18F54-9B33-4C33-BDF9-0F093F4F3336 3 0.5274 0.5272 0.020 0.024 0.640 0.272 0.044 0.000
#> 5C292E37-1386-4928-B9EA-EA077528CDFD 1 0.5795 0.6556 0.620 0.000 0.232 0.036 0.012 0.100
#> C3B7657E-B340-4808-86D9-277E661D48DD 2 0.3903 0.5653 0.012 0.680 0.000 0.304 0.004 0.000
#> 622A8E32-1738-4F33-9108-39573001E650 3 0.5103 0.5199 0.072 0.012 0.628 0.284 0.004 0.000
#> BD402BD9-456B-4C70-B87A-D1826B275D1D 6 0.4755 0.6584 0.032 0.000 0.036 0.196 0.016 0.720
#> FAE38724-0757-45E5-818D-9DFE1C132796 3 0.3953 0.7640 0.048 0.000 0.800 0.052 0.100 0.000
#> 84DFC6D1-120A-4EC5-A66A-0CEFEE400589 5 0.4938 0.0633 0.028 0.020 0.000 0.464 0.488 0.000
#> 78AFD286-1D48-4CC5-8D01-CEBF637679D6 4 0.7002 -0.0388 0.192 0.080 0.000 0.368 0.000 0.360
#> 24F852B4-9008-4FC3-84D8-5F023AE15C27 1 0.5113 0.4311 0.580 0.000 0.028 0.016 0.016 0.360
#> 07A6BB77-5F94-4F6E-BAC4-6F564377970E 3 0.1528 0.8419 0.048 0.000 0.936 0.016 0.000 0.000
#> 91469C7A-AC09-4EC6-858B-0FF1DDB4CBA0 3 0.0665 0.8452 0.008 0.000 0.980 0.004 0.008 0.000
#> 6F961AB5-18B1-432A-92F6-55D28C6A33FA 4 0.3007 0.6919 0.012 0.004 0.008 0.836 0.140 0.000
#> CDC78BDC-5879-4AA5-8305-18D91F37A2AE 1 0.3527 0.7044 0.792 0.164 0.000 0.040 0.000 0.004
#> 8C88CC73-D099-4F89-9DB8-4204308DFC56 5 0.4394 0.6526 0.032 0.000 0.004 0.156 0.756 0.052
#> F07E8EC5-28F3-47CC-9EE4-BBC8E143D32C 4 0.5563 0.5912 0.076 0.000 0.052 0.688 0.156 0.028
#> ADD6F72C-49D0-4FF1-BE53-FA5FE58A0D11 2 0.2515 0.7816 0.052 0.892 0.000 0.000 0.016 0.040
#> 81ABDA7B-F416-4DF6-B53C-3DC0249314E9 6 0.2418 0.8349 0.028 0.004 0.000 0.028 0.036 0.904
#> 3C89D209-CA7C-413C-B2EF-8FFC6D39BD3F 4 0.2704 0.7101 0.020 0.008 0.012 0.880 0.080 0.000
#> 5B6398F4-30A0-4498-9590-41D26443ADCF 4 0.3166 0.6651 0.008 0.000 0.008 0.800 0.184 0.000
#> 78963D63-58C8-42BB-98D4-A17C8EE7091E 5 0.1755 0.6969 0.028 0.000 0.008 0.032 0.932 0.000
#> B8087BC2-431E-494C-BEFA-1111AD2E6BA0 3 0.1082 0.8421 0.040 0.000 0.956 0.004 0.000 0.000
#> 44B6268B-2B99-47A5-9E56-5936DB449C8A 1 0.3327 0.7594 0.836 0.040 0.108 0.008 0.008 0.000
#> 31D370A5-B86A-4874-B80A-29F85E9E3E70 3 0.3078 0.8012 0.028 0.000 0.860 0.048 0.064 0.000
#> 93C88EFA-475A-4583-8563-C032CBC3C652 2 0.0865 0.8223 0.000 0.964 0.000 0.036 0.000 0.000
#> C69F0DE1-EE8E-4FD2-9612-9415146208A3 4 0.3821 0.6827 0.108 0.000 0.060 0.804 0.028 0.000
#> BFF05691-3DC6-4666-A586-5DA826190D0C 5 0.5183 0.4128 0.040 0.000 0.040 0.320 0.600 0.000
#> A727EECD-701F-49C2-A98D-6A85179053B3 4 0.4205 0.6859 0.072 0.004 0.076 0.792 0.056 0.000
#> D5024D0C-762B-4C90-9285-429F32CF79E7 3 0.1010 0.8428 0.036 0.000 0.960 0.004 0.000 0.000
#> 7A1CC5FE-3D3C-4391-AD2A-0A0E4CEF7EF2 5 0.4450 0.6133 0.024 0.032 0.016 0.184 0.744 0.000
#> 7827DAD3-2D31-4E44-BF09-91E4772FE9D3 3 0.0806 0.8445 0.020 0.000 0.972 0.008 0.000 0.000
#> 344A0AC1-04BA-42C9-A9C5-53137FD6DC15 5 0.6442 -0.1989 0.408 0.020 0.016 0.004 0.428 0.124
#> AB15F59A-FEAC-4423-8BDB-8889BA9BE83A 4 0.3739 0.6833 0.024 0.000 0.036 0.796 0.144 0.000
#> F8C777E3-C3E0-41E6-91B6-0BFB90CBC2EF 4 0.5448 0.5307 0.232 0.000 0.068 0.640 0.060 0.000
#> 0A248E23-1EDC-4D1A-A563-58BB127FE4BF 6 0.3580 0.7365 0.028 0.000 0.000 0.004 0.196 0.772
#> D210EB84-3824-4D30-85B5-CD3BA710C170 1 0.5393 0.6384 0.632 0.000 0.160 0.016 0.192 0.000
#> E70B53F9-6491-48B3-A4FF-FFDC99477983 5 0.3105 0.6800 0.036 0.000 0.012 0.108 0.844 0.000
#> AA273C14-F561-46DA-A645-429A1112FC50 1 0.3690 0.6140 0.684 0.000 0.308 0.000 0.008 0.000
#> B714FCDC-51DC-4D2B-AA0C-F0F812C1BC98 6 0.0458 0.8376 0.000 0.000 0.000 0.000 0.016 0.984
#> 01633EB8-9FEF-4683-9AB5-2A16007F5F12 6 0.0291 0.8373 0.000 0.000 0.000 0.004 0.004 0.992
#> FBB04F6B-F627-4A45-8885-1ABA6F0C96EB 2 0.2848 0.7903 0.024 0.848 0.000 0.124 0.004 0.000
#> 40CE09CD-549D-4868-90F5-7206BB092AE6 4 0.4564 0.5693 0.008 0.240 0.008 0.696 0.048 0.000
#> 242244B1-2E1F-4699-8E65-8C98DC421F6A 3 0.4798 0.7126 0.108 0.060 0.736 0.000 0.096 0.000
#> B3184EFA-FB47-4F16-89D5-ED529A7B8495 4 0.3260 0.7109 0.048 0.004 0.048 0.856 0.044 0.000
#> 1CCF1D0C-EAFC-4A5D-B224-34D1145FB924 5 0.2116 0.6941 0.024 0.004 0.004 0.056 0.912 0.000
#> C7EF46B7-5B63-4BE7-9450-6B009D7EE9BD 5 0.2892 0.6900 0.028 0.036 0.004 0.040 0.884 0.008
#> 23C4DD90-F163-43D0-AA80-0AA81AE89775 6 0.0547 0.8379 0.000 0.000 0.000 0.000 0.020 0.980
#> CC7FABCB-49D8-4948-96B4-7383EF5AD62C 1 0.2865 0.7506 0.840 0.000 0.140 0.012 0.008 0.000
#> F1933C33-752A-40B8-B776-84A5EA7F1566 6 0.5861 0.3422 0.180 0.000 0.252 0.016 0.000 0.552
#> 2758B508-68BF-47CB-A9DB-FD9D81FA2261 5 0.4401 0.3720 0.300 0.000 0.020 0.008 0.664 0.008
#> D3FA1C28-1700-4F40-AA89-908B71BF9F55 5 0.5333 0.5325 0.020 0.000 0.120 0.224 0.636 0.000
#> C5F38B09-A6AC-4AC5-BD29-FD7774894BBB 3 0.4563 0.7193 0.156 0.000 0.736 0.080 0.028 0.000
#> 3B42E276-2FB9-4891-A188-911267B1479C 6 0.2063 0.8223 0.060 0.000 0.008 0.020 0.000 0.912
#> 1A4D5867-E890-4227-AD6E-4869DD09A4F0 4 0.6041 0.0127 0.100 0.420 0.024 0.448 0.000 0.008
#> 55540AE6-B3BF-4128-A44C-5A0AA7635664 5 0.3427 0.6471 0.044 0.000 0.004 0.016 0.832 0.104
#> 30B21D99-F29C-4402-A8F8-3C7414EE35D2 5 0.1464 0.6998 0.016 0.000 0.004 0.036 0.944 0.000
#> 97A2A7FD-9C45-4375-991E-28542A859888 6 0.1225 0.8409 0.000 0.000 0.000 0.012 0.036 0.952
#> 30EFAE48-2DD1-428F-83B3-657BBA615EE0 2 0.1777 0.8227 0.012 0.932 0.000 0.032 0.024 0.000
#> E00A1CA1-7ACD-4C20-9CCB-AA1DC87E9DC2 5 0.4232 0.5725 0.028 0.000 0.020 0.236 0.716 0.000
#> 0E4DDE6E-B289-4FEE-BF9E-390C2695C552 1 0.3436 0.7489 0.812 0.000 0.128 0.004 0.056 0.000
#> 34DCAE72-1B3E-4BFA-BC49-1A27D091C653 1 0.4788 0.5627 0.648 0.000 0.068 0.008 0.276 0.000
#> 794326EA-012C-46FA-8E62-C83FE6473EEC 6 0.2604 0.7918 0.008 0.100 0.000 0.020 0.000 0.872
#> 92B0C87E-67F6-4E1E-BC47-27BEA737EF0E 6 0.1857 0.8362 0.028 0.000 0.000 0.032 0.012 0.928
#> E475009E-2082-43DF-903D-7B85D9DF0587 6 0.0260 0.8369 0.000 0.000 0.000 0.000 0.008 0.992
#> 0A6BB6BD-547A-43BD-BAD9-16E7ACCFA0F8 6 0.5841 0.5270 0.044 0.056 0.012 0.004 0.296 0.588
#> C513E546-E717-484E-86E6-7E3B76CBEAE3 4 0.4143 0.5611 0.016 0.232 0.012 0.728 0.012 0.000
#> DEF47F8B-EC67-4415-917A-A7DA10BD9CAA 3 0.1204 0.8311 0.056 0.000 0.944 0.000 0.000 0.000
#> D95FF6DC-EF13-4397-BAC3-6870E3950353 4 0.3299 0.7063 0.048 0.000 0.028 0.844 0.080 0.000
#> A92317D5-061F-49D4-B0E9-C4C8338D5B01 5 0.6062 0.3010 0.216 0.016 0.012 0.004 0.584 0.168
#> D909C8F2-DE93-461E-8F7C-F4992AA8270C 6 0.1728 0.8315 0.000 0.008 0.000 0.064 0.004 0.924
#> D65DB90F-4495-467D-A204-F67996E1E515 4 0.3491 0.6900 0.028 0.016 0.012 0.828 0.116 0.000
#> 0CCA1860-684B-4E47-A414-8525B8C05111 3 0.1152 0.8381 0.044 0.000 0.952 0.004 0.000 0.000
#> AF783C06-2B30-4696-A2D1-3BAFFA6AEBE4 6 0.3636 0.5775 0.004 0.000 0.000 0.000 0.320 0.676
#> 9F93BF19-4B00-4828-AACD-10B455706954 3 0.3815 0.7404 0.092 0.000 0.776 0.132 0.000 0.000
#> 19269152-7784-4394-A595-6F0A22F0F576 5 0.4124 0.3564 0.324 0.004 0.012 0.000 0.656 0.004
#> 18FFB85C-B100-41C0-9F7E-F09AA326C293 4 0.4935 0.6410 0.028 0.180 0.040 0.720 0.000 0.032
#> 42DF2F32-7E39-415A-9C06-966DBB23B165 6 0.5250 0.4766 0.032 0.004 0.020 0.340 0.012 0.592
#> 9AAACD75-DB67-4BAC-8A59-D7E2B9F9CA03 3 0.0964 0.8448 0.016 0.000 0.968 0.012 0.004 0.000
#> A66EDE62-90C4-4ECD-864D-CF12582627E0 4 0.3168 0.7041 0.024 0.016 0.052 0.872 0.028 0.008
#> 6F1A8110-ACF1-4438-AAF2-CCA33236F9FE 5 0.1629 0.6978 0.028 0.000 0.004 0.024 0.940 0.004
#> B6D4A562-EE1D-470E-B990-A1EA44D6EEC2 1 0.4432 0.6755 0.720 0.220 0.016 0.000 0.036 0.008
#> 1D0FDDC6-F247-4BD8-8AEF-245E558092E1 6 0.1049 0.8391 0.000 0.000 0.000 0.032 0.008 0.960
#> 27AEDEB0-738C-4B0F-8AB5-AEE6726F065E 1 0.5687 0.6010 0.576 0.000 0.252 0.008 0.004 0.160
#> 356E2491-1BC7-4B16-B87E-755A95AD6D45 1 0.2623 0.7550 0.852 0.016 0.132 0.000 0.000 0.000
#> 8FE2BB0B-3FAA-46C7-ABEC-B7257CB131D7 4 0.2881 0.7007 0.012 0.084 0.004 0.868 0.032 0.000
#> ED4C52A0-7C1F-4681-8409-75DE47FDA0AB 4 0.5216 0.1584 0.032 0.360 0.020 0.576 0.004 0.008
#> FBC76133-5C1E-4252-9A42-C69B8BFB746B 3 0.3280 0.7712 0.160 0.004 0.808 0.028 0.000 0.000
#> A07AEAE4-FB94-4902-9857-8686C61920E0 5 0.5941 0.5283 0.144 0.000 0.196 0.056 0.604 0.000
#> 4CB1C655-C8BC-49C6-B453-091EBBA370D4 4 0.3466 0.7052 0.020 0.004 0.044 0.832 0.100 0.000
#> 20B29259-52E5-4471-9785-AF4C9F094A9D 5 0.3735 0.5977 0.084 0.120 0.000 0.000 0.792 0.004
#> F4F33F1D-671A-43F3-829E-CC9FA4246B50 2 0.0405 0.8188 0.000 0.988 0.000 0.000 0.004 0.008
#> E1C7FEEC-09BE-4F5C-B050-D89978F026D5 5 0.2357 0.6833 0.048 0.000 0.004 0.012 0.904 0.032
#> 5A6AF013-C47E-41BE-9102-07E49330D451 2 0.2964 0.7606 0.012 0.836 0.000 0.000 0.012 0.140
#> 814B2873-3E3E-419E-BA53-F65E322D9338 4 0.6908 0.3593 0.040 0.196 0.024 0.484 0.000 0.256
#> 3E431A9A-D1D3-469B-9602-713B7BD71548 3 0.3814 0.7725 0.060 0.000 0.812 0.084 0.044 0.000
#> C3627A35-8BB9-4492-9F2B-CE8B75853BF3 5 0.5350 0.6187 0.020 0.120 0.000 0.064 0.712 0.084
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#> 8ED4FB56-825C-48BC-B789-B1D13FE478E6 2 0.4711 0.7322 0.012 0.728 0.008 0.136 0.000 0.116
#> 39691679-6FEB-4767-8718-81CDB63E625F 4 0.4376 0.4785 0.024 0.264 0.004 0.692 0.016 0.000
#> 02AF05B9-AD54-4A69-A0CF-8A27D0F68AC3 2 0.0777 0.8233 0.004 0.972 0.000 0.024 0.000 0.000
#> 10C435E7-3B37-4211-833F-F4631C5D74BD 3 0.0935 0.8427 0.032 0.000 0.964 0.004 0.000 0.000
#> 06734FCE-AF53-40D2-A95C-8B8118DF0E55 3 0.1434 0.8418 0.048 0.000 0.940 0.012 0.000 0.000
#> 86F16B3C-E263-4DD7-BE9E-8AF4546FC548 1 0.2849 0.7385 0.864 0.084 0.008 0.000 0.044 0.000
#> 708798CA-F7BA-4B85-840D-AAC815E2DAA3 1 0.2973 0.7573 0.864 0.016 0.084 0.004 0.032 0.000
#> D256581C-9139-4877-887D-5C4D7BD08CC6 3 0.0713 0.8425 0.028 0.000 0.972 0.000 0.000 0.000
#> 297B9132-C6AC-43EF-B898-E4821808F857 3 0.4604 0.7046 0.172 0.000 0.720 0.016 0.092 0.000
#> BD96DBB9-E64A-43B1-9452-126DC0623058 5 0.4602 0.2166 0.004 0.016 0.000 0.012 0.580 0.388
#> 185B1CB2-D786-48BE-8E94-FCE4B7C11046 4 0.4195 0.6594 0.024 0.004 0.040 0.760 0.172 0.000
#> 92E2A146-7C92-44DA-B372-D51AD76BDCE0 2 0.1262 0.8187 0.016 0.956 0.000 0.000 0.020 0.008
#> 50D9AC78-AB9A-4C72-A23C-4543BFAA03BD 4 0.5750 0.2759 0.040 0.000 0.080 0.540 0.340 0.000
#> 37E06B4D-7F5D-4C52-B5BC-3E308532FD2C 5 0.4637 0.2630 0.028 0.000 0.008 0.408 0.556 0.000
#> 9CE16ED3-15A3-4B00-9AE1-FADB0E983B16 5 0.1257 0.6982 0.020 0.000 0.000 0.028 0.952 0.000
#> 134E2094-3155-497C-97BB-F1D9EE93B2CC 1 0.4289 0.5999 0.692 0.000 0.028 0.004 0.008 0.268
#> 05E020C8-143D-430E-AADB-5480FDF25F62 2 0.0146 0.8208 0.000 0.996 0.000 0.004 0.000 0.000
#> 39169EBA-FD85-448A-B4B4-92B964D3BC6C 3 0.1672 0.8400 0.048 0.000 0.932 0.004 0.016 0.000
#> F6381259-41CC-432C-9EB3-C232663DFBE2 4 0.5427 0.6445 0.044 0.000 0.048 0.716 0.096 0.096
#> 2A9BFC9D-D629-4C50-B753-869B6C608361 5 0.5585 0.4930 0.036 0.000 0.096 0.264 0.604 0.000
#> 5DDE3AF7-AA23-4F9D-A8A7-429D684365A6 2 0.1936 0.8046 0.028 0.928 0.008 0.000 0.028 0.008
#> E840B09D-09AB-4067-BA95-DE22B5947B6A 6 0.5589 0.6706 0.028 0.064 0.036 0.156 0.016 0.700
#> A98FDB78-4973-4B51-BE69-1BB5E30B2EA0 4 0.2136 0.7166 0.016 0.000 0.012 0.908 0.064 0.000
#> 7B7E4285-80A4-4009-9854-BAA16C1B8A74 4 0.5379 0.6315 0.048 0.040 0.032 0.684 0.196 0.000
#> 88ED79C0-EEA8-4E9A-B399-B28DFB35137C 4 0.2576 0.7216 0.012 0.060 0.016 0.896 0.012 0.004
#> AFF66F93-EAFD-4CAA-B110-95DAAE5695EE 2 0.3476 0.7544 0.024 0.808 0.000 0.020 0.148 0.000
#> 9547CBCF-4778-415F-8B3D-3DF881DAB82C 4 0.4643 0.4564 0.024 0.300 0.000 0.648 0.000 0.028
#> 0D0A54E7-26EF-49D0-944B-A668D902FDCC 3 0.3485 0.7773 0.036 0.000 0.824 0.028 0.112 0.000
#> 4FCE3F1A-D92E-48FA-9E33-B580DB1A7E83 2 0.4606 0.2774 0.016 0.524 0.004 0.448 0.008 0.000
#> 9AFAC616-B7EE-4B9A-BC90-BD01ECAFB4DC 1 0.4610 0.7205 0.728 0.152 0.100 0.020 0.000 0.000
#> 087A928E-FB5A-496C-8967-877899416E94 6 0.1738 0.8398 0.004 0.000 0.000 0.016 0.052 0.928
#> F3D269A6-83A1-4634-A413-8F1DA4C5FCE2 6 0.2277 0.8204 0.000 0.032 0.000 0.000 0.076 0.892
#> D6FC41FB-370B-44C0-940C-862554ECB645 5 0.4105 0.4333 0.020 0.000 0.000 0.348 0.632 0.000
#> F8CEC135-7AF2-4819-94D1-5410E5903DAF 1 0.3488 0.6738 0.744 0.244 0.004 0.000 0.008 0.000
#> 63A883F6-96DD-4565-B176-D5A35D3820D1 5 0.5944 0.4889 0.020 0.000 0.008 0.232 0.580 0.160
#> 73F40E4F-95D1-4DE3-A955-42132BEF02B7 1 0.2696 0.7577 0.856 0.028 0.116 0.000 0.000 0.000
#> B5430330-BFE8-4A04-8E85-81E3BCB22D41 2 0.5154 0.6625 0.028 0.680 0.008 0.208 0.076 0.000
#> BDBBD576-316D-40A3-88A1-796AC1DE27A0 2 0.3864 0.6619 0.048 0.744 0.000 0.000 0.208 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
sessionInfo()
#> R version 3.6.0 (2019-04-26)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#>
#> Matrix products: default
#> BLAS: /usr/lib64/libblas.so.3.4.2
#> LAPACK: /usr/lib64/liblapack.so.3.4.2
#>
#> locale:
#> [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
#> [4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
#> [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] grid stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] genefilter_1.66.0 ComplexHeatmap_2.3.1 markdown_1.1 knitr_1.26
#> [5] GetoptLong_0.1.7 cola_1.3.2
#>
#> loaded via a namespace (and not attached):
#> [1] circlize_0.4.8 shape_1.4.4 xfun_0.11 slam_0.1-46
#> [5] lattice_0.20-38 splines_3.6.0 colorspace_1.4-1 vctrs_0.2.0
#> [9] stats4_3.6.0 blob_1.2.0 XML_3.98-1.20 survival_2.44-1.1
#> [13] rlang_0.4.2 pillar_1.4.2 DBI_1.0.0 BiocGenerics_0.30.0
#> [17] bit64_0.9-7 RColorBrewer_1.1-2 matrixStats_0.55.0 stringr_1.4.0
#> [21] GlobalOptions_0.1.1 evaluate_0.14 memoise_1.1.0 Biobase_2.44.0
#> [25] IRanges_2.18.3 parallel_3.6.0 AnnotationDbi_1.46.1 highr_0.8
#> [29] Rcpp_1.0.3 xtable_1.8-4 backports_1.1.5 S4Vectors_0.22.1
#> [33] annotate_1.62.0 skmeans_0.2-11 bit_1.1-14 microbenchmark_1.4-7
#> [37] brew_1.0-6 impute_1.58.0 rjson_0.2.20 png_0.1-7
#> [41] digest_0.6.23 stringi_1.4.3 polyclip_1.10-0 clue_0.3-57
#> [45] tools_3.6.0 bitops_1.0-6 magrittr_1.5 eulerr_6.0.0
#> [49] RCurl_1.95-4.12 RSQLite_2.1.4 tibble_2.1.3 cluster_2.1.0
#> [53] crayon_1.3.4 pkgconfig_2.0.3 zeallot_0.1.0 Matrix_1.2-17
#> [57] xml2_1.2.2 httr_1.4.1 R6_2.4.1 mclust_5.4.5
#> [61] compiler_3.6.0