Date: 2019-12-26 01:40:31 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 17420 rows and 500 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = cores)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17420 500
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:kmeans | 2 | 1.000 | 0.993 | 0.997 | ** | |
| SD:skmeans | 2 | 1.000 | 0.989 | 0.995 | ** | |
| SD:pam | 2 | 1.000 | 0.982 | 0.993 | ** | |
| SD:NMF | 2 | 1.000 | 0.986 | 0.994 | ** | |
| CV:kmeans | 2 | 1.000 | 0.983 | 0.991 | ** | |
| MAD:kmeans | 2 | 1.000 | 0.993 | 0.996 | ** | |
| MAD:skmeans | 2 | 1.000 | 0.986 | 0.994 | ** | |
| MAD:pam | 2 | 1.000 | 0.979 | 0.991 | ** | |
| MAD:NMF | 2 | 1.000 | 0.985 | 0.994 | ** | |
| ATC:kmeans | 2 | 1.000 | 0.973 | 0.988 | ** | |
| CV:skmeans | 3 | 0.979 | 0.951 | 0.980 | ** | 2 |
| CV:NMF | 3 | 0.958 | 0.935 | 0.974 | ** | 2 |
| MAD:mclust | 2 | 0.919 | 0.950 | 0.978 | * | |
| ATC:skmeans | 6 | 0.909 | 0.867 | 0.932 | * | 2,4,5 |
| CV:pam | 4 | 0.908 | 0.880 | 0.955 | * | |
| SD:mclust | 2 | 0.855 | 0.929 | 0.968 | ||
| ATC:NMF | 3 | 0.810 | 0.904 | 0.955 | ||
| ATC:mclust | 2 | 0.726 | 0.903 | 0.948 | ||
| ATC:pam | 3 | 0.683 | 0.755 | 0.899 | ||
| MAD:hclust | 3 | 0.518 | 0.693 | 0.828 | ||
| SD:hclust | 3 | 0.425 | 0.698 | 0.833 | ||
| CV:hclust | 3 | 0.405 | 0.775 | 0.797 | ||
| ATC:hclust | 3 | 0.399 | 0.623 | 0.812 | ||
| CV:mclust | 2 | 0.388 | 0.773 | 0.878 |
**: 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 1.000 0.986 0.994 0.472 0.527 0.527
#> CV:NMF 2 1.000 0.984 0.993 0.473 0.528 0.528
#> MAD:NMF 2 1.000 0.985 0.994 0.473 0.528 0.528
#> ATC:NMF 2 0.372 0.775 0.824 0.339 0.715 0.715
#> SD:skmeans 2 1.000 0.989 0.995 0.482 0.518 0.518
#> CV:skmeans 2 1.000 0.984 0.994 0.482 0.517 0.517
#> MAD:skmeans 2 1.000 0.986 0.994 0.482 0.518 0.518
#> ATC:skmeans 2 1.000 0.985 0.994 0.498 0.502 0.502
#> SD:mclust 2 0.855 0.929 0.968 0.481 0.522 0.522
#> CV:mclust 2 0.388 0.773 0.878 0.483 0.503 0.503
#> MAD:mclust 2 0.919 0.950 0.978 0.477 0.529 0.529
#> ATC:mclust 2 0.726 0.903 0.948 0.488 0.499 0.499
#> SD:kmeans 2 1.000 0.993 0.997 0.466 0.535 0.535
#> CV:kmeans 2 1.000 0.983 0.991 0.468 0.534 0.534
#> MAD:kmeans 2 1.000 0.993 0.996 0.466 0.535 0.535
#> ATC:kmeans 2 1.000 0.973 0.988 0.455 0.545 0.545
#> SD:pam 2 1.000 0.982 0.993 0.474 0.525 0.525
#> CV:pam 2 0.893 0.942 0.975 0.453 0.542 0.542
#> MAD:pam 2 1.000 0.979 0.991 0.475 0.525 0.525
#> ATC:pam 2 0.417 0.702 0.865 0.457 0.500 0.500
#> SD:hclust 2 0.292 0.755 0.804 0.377 0.565 0.565
#> CV:hclust 2 0.573 0.835 0.908 0.302 0.720 0.720
#> MAD:hclust 2 0.369 0.787 0.819 0.363 0.567 0.567
#> ATC:hclust 2 0.293 0.661 0.834 0.414 0.522 0.522
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.692 0.788 0.880 0.284 0.853 0.730
#> CV:NMF 3 0.958 0.935 0.974 0.289 0.835 0.695
#> MAD:NMF 3 0.616 0.490 0.720 0.300 0.781 0.601
#> ATC:NMF 3 0.810 0.904 0.955 0.744 0.605 0.477
#> SD:skmeans 3 0.729 0.832 0.902 0.377 0.778 0.588
#> CV:skmeans 3 0.979 0.951 0.980 0.366 0.766 0.571
#> MAD:skmeans 3 0.771 0.871 0.925 0.377 0.780 0.590
#> ATC:skmeans 3 0.895 0.898 0.959 0.334 0.722 0.501
#> SD:mclust 3 0.663 0.732 0.853 0.243 0.854 0.729
#> CV:mclust 3 0.508 0.615 0.831 0.265 0.846 0.709
#> MAD:mclust 3 0.560 0.610 0.770 0.243 0.896 0.808
#> ATC:mclust 3 0.754 0.810 0.911 0.252 0.795 0.624
#> SD:kmeans 3 0.560 0.533 0.725 0.339 0.866 0.752
#> CV:kmeans 3 0.763 0.865 0.918 0.298 0.812 0.657
#> MAD:kmeans 3 0.564 0.504 0.762 0.352 0.843 0.709
#> ATC:kmeans 3 0.809 0.830 0.930 0.380 0.636 0.430
#> SD:pam 3 0.683 0.802 0.834 0.248 0.923 0.854
#> CV:pam 3 0.855 0.840 0.914 0.187 0.921 0.855
#> MAD:pam 3 0.636 0.705 0.694 0.273 0.903 0.819
#> ATC:pam 3 0.683 0.755 0.899 0.406 0.688 0.463
#> SD:hclust 3 0.425 0.698 0.833 0.472 0.909 0.840
#> CV:hclust 3 0.405 0.775 0.797 0.861 0.664 0.534
#> MAD:hclust 3 0.518 0.693 0.828 0.534 0.901 0.826
#> ATC:hclust 3 0.399 0.623 0.812 0.433 0.702 0.501
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.796 0.796 0.918 0.157 0.814 0.586
#> CV:NMF 4 0.862 0.874 0.947 0.186 0.781 0.507
#> MAD:NMF 4 0.786 0.803 0.918 0.144 0.780 0.494
#> ATC:NMF 4 0.779 0.825 0.912 0.148 0.879 0.711
#> SD:skmeans 4 0.740 0.684 0.843 0.111 0.910 0.741
#> CV:skmeans 4 0.834 0.810 0.898 0.125 0.861 0.621
#> MAD:skmeans 4 0.745 0.649 0.786 0.108 0.919 0.774
#> ATC:skmeans 4 0.976 0.929 0.971 0.117 0.867 0.631
#> SD:mclust 4 0.524 0.535 0.719 0.153 0.859 0.687
#> CV:mclust 4 0.558 0.595 0.772 0.169 0.821 0.599
#> MAD:mclust 4 0.511 0.599 0.747 0.181 0.761 0.507
#> ATC:mclust 4 0.738 0.834 0.896 0.142 0.866 0.671
#> SD:kmeans 4 0.565 0.443 0.667 0.157 0.740 0.452
#> CV:kmeans 4 0.673 0.589 0.712 0.163 0.878 0.687
#> MAD:kmeans 4 0.592 0.620 0.736 0.145 0.767 0.474
#> ATC:kmeans 4 0.685 0.690 0.853 0.153 0.769 0.467
#> SD:pam 4 0.730 0.818 0.893 0.234 0.797 0.562
#> CV:pam 4 0.908 0.880 0.955 0.144 0.881 0.755
#> MAD:pam 4 0.697 0.624 0.785 0.208 0.787 0.541
#> ATC:pam 4 0.582 0.739 0.811 0.108 0.897 0.726
#> SD:hclust 4 0.523 0.620 0.774 0.174 0.839 0.676
#> CV:hclust 4 0.558 0.703 0.834 0.163 0.946 0.863
#> MAD:hclust 4 0.511 0.582 0.780 0.161 0.875 0.741
#> ATC:hclust 4 0.432 0.466 0.714 0.143 0.862 0.669
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.745 0.711 0.860 0.1024 0.854 0.565
#> CV:NMF 5 0.803 0.810 0.901 0.0845 0.831 0.492
#> MAD:NMF 5 0.705 0.673 0.838 0.0981 0.848 0.550
#> ATC:NMF 5 0.626 0.690 0.821 0.1154 0.802 0.469
#> SD:skmeans 5 0.794 0.712 0.822 0.0755 0.859 0.539
#> CV:skmeans 5 0.839 0.843 0.913 0.0697 0.916 0.695
#> MAD:skmeans 5 0.829 0.782 0.852 0.0768 0.828 0.487
#> ATC:skmeans 5 0.947 0.915 0.967 0.0498 0.923 0.722
#> SD:mclust 5 0.575 0.433 0.688 0.0727 0.902 0.742
#> CV:mclust 5 0.612 0.551 0.753 0.0699 0.871 0.616
#> MAD:mclust 5 0.536 0.552 0.746 0.0700 0.846 0.541
#> ATC:mclust 5 0.588 0.571 0.699 0.0694 0.802 0.505
#> SD:kmeans 5 0.647 0.564 0.715 0.0774 0.884 0.617
#> CV:kmeans 5 0.749 0.714 0.824 0.0894 0.837 0.511
#> MAD:kmeans 5 0.664 0.593 0.737 0.0801 0.921 0.725
#> ATC:kmeans 5 0.893 0.883 0.937 0.0913 0.893 0.630
#> SD:pam 5 0.654 0.635 0.791 0.0732 0.853 0.526
#> CV:pam 5 0.728 0.720 0.874 0.2376 0.844 0.594
#> MAD:pam 5 0.760 0.764 0.865 0.0798 0.844 0.506
#> ATC:pam 5 0.687 0.737 0.840 0.0737 0.909 0.715
#> SD:hclust 5 0.550 0.641 0.775 0.0814 0.965 0.899
#> CV:hclust 5 0.589 0.655 0.778 0.0743 0.975 0.932
#> MAD:hclust 5 0.507 0.595 0.752 0.0825 0.932 0.822
#> ATC:hclust 5 0.507 0.604 0.726 0.0989 0.818 0.494
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.706 0.613 0.791 0.0491 0.935 0.734
#> CV:NMF 6 0.751 0.691 0.803 0.0518 0.917 0.651
#> MAD:NMF 6 0.688 0.654 0.795 0.0479 0.912 0.652
#> ATC:NMF 6 0.618 0.567 0.727 0.0637 0.873 0.528
#> SD:skmeans 6 0.829 0.746 0.865 0.0452 0.919 0.641
#> CV:skmeans 6 0.886 0.853 0.923 0.0445 0.916 0.638
#> MAD:skmeans 6 0.846 0.769 0.875 0.0461 0.934 0.697
#> ATC:skmeans 6 0.909 0.867 0.932 0.0402 0.929 0.704
#> SD:mclust 6 0.637 0.554 0.763 0.0706 0.819 0.480
#> CV:mclust 6 0.652 0.504 0.679 0.0461 0.895 0.623
#> MAD:mclust 6 0.606 0.467 0.687 0.0685 0.903 0.633
#> ATC:mclust 6 0.648 0.653 0.788 0.0595 0.834 0.492
#> SD:kmeans 6 0.722 0.687 0.792 0.0476 0.904 0.607
#> CV:kmeans 6 0.765 0.784 0.832 0.0501 0.933 0.717
#> MAD:kmeans 6 0.749 0.718 0.810 0.0483 0.902 0.608
#> ATC:kmeans 6 0.772 0.666 0.810 0.0398 0.947 0.762
#> SD:pam 6 0.673 0.494 0.700 0.0483 0.895 0.582
#> CV:pam 6 0.736 0.763 0.858 0.0446 0.910 0.657
#> MAD:pam 6 0.723 0.560 0.763 0.0409 0.917 0.657
#> ATC:pam 6 0.755 0.571 0.795 0.0751 0.847 0.468
#> SD:hclust 6 0.568 0.606 0.755 0.0626 0.931 0.791
#> CV:hclust 6 0.557 0.588 0.734 0.0600 0.928 0.795
#> MAD:hclust 6 0.528 0.502 0.700 0.0728 0.938 0.814
#> ATC:hclust 6 0.581 0.591 0.751 0.0451 0.939 0.752
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 17420 rows and 500 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 0.292 0.755 0.804 0.3767 0.565 0.565
#> 3 3 0.425 0.698 0.833 0.4717 0.909 0.840
#> 4 4 0.523 0.620 0.774 0.1745 0.839 0.676
#> 5 5 0.550 0.641 0.775 0.0814 0.965 0.899
#> 6 6 0.568 0.606 0.755 0.0626 0.931 0.791
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.9866 0.8668 0.568 0.432
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.9491 0.8371 0.632 0.368
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.9866 0.8668 0.568 0.432
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1414 0.8297 0.020 0.980
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5629 0.7586 0.132 0.868
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.7299 0.7148 0.204 0.796
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.9866 0.8668 0.568 0.432
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1414 0.8297 0.020 0.980
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.9866 0.8668 0.568 0.432
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.9850 0.8689 0.572 0.428
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.9661 0.2711 0.392 0.608
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.7453 0.5448 0.788 0.212
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.4815 0.8098 0.104 0.896
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.9833 0.8686 0.576 0.424
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.3584 0.8278 0.068 0.932
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.8392 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.9393 0.8288 0.644 0.356
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.8392 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.9460 0.4875 0.364 0.636
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#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.5178 0.5919 0.884 0.116
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.1414 0.8297 0.020 0.980
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.9686 0.8515 0.604 0.396
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0672 0.8410 0.008 0.992
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.1843 0.8403 0.028 0.972
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.9909 0.3970 0.444 0.556
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.9850 0.8689 0.572 0.428
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.8392 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.9866 0.8668 0.568 0.432
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.3114 0.8327 0.056 0.944
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0376 0.8400 0.004 0.996
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1414 0.8297 0.020 0.980
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.8392 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.1184 0.8324 0.016 0.984
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.8392 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.5737 0.7394 0.136 0.864
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.8392 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0938 0.8410 0.012 0.988
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.2423 0.8256 0.040 0.960
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1414 0.8297 0.020 0.980
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.9866 0.8668 0.568 0.432
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.8392 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.8392 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.9833 0.8681 0.576 0.424
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.2948 0.8383 0.052 0.948
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 2 0.9661 0.2711 0.392 0.608
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4022 0.8069 0.080 0.920
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1414 0.8297 0.020 0.980
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.4431 0.8141 0.092 0.908
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.9491 0.0507 0.632 0.368
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.8392 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.3274 0.8316 0.060 0.940
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.6801 0.5450 0.180 0.820
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.5178 0.5919 0.884 0.116
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.9323 0.5481 0.348 0.652
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.4161 0.7923 0.084 0.916
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.4815 0.8098 0.104 0.896
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.1184 0.8324 0.016 0.984
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.7376 0.7108 0.208 0.792
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0376 0.8385 0.004 0.996
#> C5B99B79-067A-48F9-95E4-35770562E686 2 0.9993 -0.4676 0.484 0.516
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.9866 0.8668 0.568 0.432
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 2 0.9661 0.2711 0.392 0.608
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0938 0.8410 0.012 0.988
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.4815 0.8098 0.104 0.896
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0672 0.8368 0.008 0.992
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.9323 0.8169 0.652 0.348
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.9850 0.8677 0.572 0.428
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.9833 0.8686 0.576 0.424
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.9661 0.2711 0.392 0.608
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.1633 0.8402 0.024 0.976
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.8392 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.8392 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.5178 0.5919 0.884 0.116
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.9866 0.8668 0.568 0.432
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.4022 0.8223 0.080 0.920
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.9933 0.3797 0.452 0.548
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.9833 0.8686 0.576 0.424
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1414 0.8324 0.020 0.980
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4431 0.8141 0.092 0.908
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.9866 0.8668 0.568 0.432
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0938 0.8413 0.012 0.988
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.8392 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2043 0.8285 0.032 0.968
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.9850 0.8677 0.572 0.428
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.9866 0.8668 0.568 0.432
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.7528 0.6748 0.216 0.784
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.9866 0.8668 0.568 0.432
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 2 0.9661 0.2711 0.392 0.608
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 2 0.9661 0.2711 0.392 0.608
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.2948 0.8334 0.052 0.948
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3733 0.8252 0.072 0.928
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.9850 0.8689 0.572 0.428
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.8392 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4298 0.7850 0.088 0.912
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.9866 0.8668 0.568 0.432
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.9358 0.5156 0.352 0.648
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.9358 0.5156 0.352 0.648
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.9393 0.8288 0.644 0.356
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.5737 0.7984 0.136 0.864
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.7299 0.7148 0.204 0.796
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.9393 0.1690 0.644 0.356
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0376 0.8384 0.004 0.996
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.9850 0.8689 0.572 0.428
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.9881 0.8588 0.564 0.436
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0376 0.8384 0.004 0.996
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.9933 0.3797 0.452 0.548
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1414 0.8297 0.020 0.980
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4022 0.7880 0.080 0.920
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3274 0.8316 0.060 0.940
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.8392 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.8392 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.9922 0.8421 0.552 0.448
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4431 0.8160 0.092 0.908
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.9833 0.8686 0.576 0.424
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1414 0.8297 0.020 0.980
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.4815 0.8098 0.104 0.896
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.9552 0.8372 0.624 0.376
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.9866 0.8668 0.568 0.432
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.1184 0.8414 0.016 0.984
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.9850 0.8689 0.572 0.428
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4562 0.8151 0.096 0.904
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6148 0.7861 0.152 0.848
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.8392 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3274 0.8316 0.060 0.940
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1843 0.8400 0.028 0.972
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0672 0.8406 0.008 0.992
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.7056 0.7198 0.192 0.808
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3879 0.8243 0.076 0.924
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.4815 0.8098 0.104 0.896
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.9248 0.5313 0.340 0.660
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.3989 0.8847 0.864 0.124 0.012
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.3899 0.8444 0.888 0.056 0.056
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.3989 0.8847 0.864 0.124 0.012
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1129 0.7910 0.020 0.976 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5473 0.6549 0.052 0.808 0.140
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.6897 0.5257 0.040 0.668 0.292
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3644 0.8856 0.872 0.124 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1129 0.7910 0.020 0.976 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.3826 0.8851 0.868 0.124 0.008
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.3267 0.8879 0.884 0.116 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.7248 0.7337 0.108 0.184 0.708
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.8033 0.1111 0.512 0.064 0.424
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.5650 0.5685 0.000 0.688 0.312
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2711 0.8823 0.912 0.088 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.4399 0.7118 0.000 0.812 0.188
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0892 0.7986 0.000 0.980 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4281 0.8385 0.872 0.056 0.072
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.7963 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.8132 0.1985 0.096 0.600 0.304
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0892 0.7979 0.000 0.980 0.020
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.5560 0.5888 0.000 0.700 0.300
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3502 0.7579 0.020 0.896 0.084
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0424 0.7958 0.008 0.992 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.4280 0.8822 0.856 0.124 0.020
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0424 0.7977 0.000 0.992 0.008
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.6698 0.5605 0.036 0.684 0.280
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.7963 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.5560 0.5888 0.000 0.700 0.300
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7085 0.3929 0.032 0.612 0.356
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0237 0.7971 0.000 0.996 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.5706 0.5560 0.000 0.680 0.320
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.7284 0.3958 0.620 0.044 0.336
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0424 0.7966 0.008 0.992 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1182 0.7924 0.012 0.976 0.012
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.9931 -0.3059 0.388 0.288 0.324
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.3295 0.8867 0.896 0.096 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1129 0.7910 0.020 0.976 0.004
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.5058 0.6579 0.000 0.756 0.244
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.7248 0.7337 0.108 0.184 0.708
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.5650 0.5685 0.000 0.688 0.312
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.7963 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4452 0.7083 0.000 0.808 0.192
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.7963 0.000 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0592 0.7951 0.012 0.988 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.3989 0.8847 0.864 0.124 0.012
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5848 0.6238 0.012 0.720 0.268
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.4683 0.5425 0.140 0.024 0.836
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.8525 0.1831 0.148 0.600 0.252
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.3826 0.8851 0.868 0.124 0.008
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.7890 0.0734 0.056 0.512 0.432
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.8128 0.2309 0.068 0.440 0.492
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.5631 0.6623 0.044 0.792 0.164
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.2711 0.8823 0.912 0.088 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.7284 0.3941 0.620 0.044 0.336
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.3500 0.8865 0.880 0.116 0.004
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.7963 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3644 0.8857 0.872 0.124 0.004
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5363 0.6216 0.000 0.724 0.276
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2313 0.7811 0.024 0.944 0.032
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.4683 0.7241 0.836 0.024 0.140
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.3500 0.8880 0.880 0.116 0.004
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.4068 0.8818 0.864 0.120 0.016
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.1411 0.7965 0.000 0.964 0.036
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4683 0.7241 0.836 0.024 0.140
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.2796 0.8841 0.908 0.092 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.6927 0.5180 0.040 0.664 0.296
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#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3459 0.7743 0.012 0.892 0.096
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.7248 0.7337 0.108 0.184 0.708
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3742 0.7473 0.036 0.892 0.072
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1129 0.7910 0.020 0.976 0.004
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.5327 0.6268 0.000 0.728 0.272
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0237 0.6049 0.004 0.000 0.996
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0237 0.7960 0.004 0.996 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.4452 0.7105 0.000 0.808 0.192
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.6098 0.5222 0.176 0.768 0.056
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.7284 0.3941 0.620 0.044 0.336
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.7866 0.1973 0.060 0.552 0.388
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.3045 0.7519 0.020 0.916 0.064
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.5650 0.5682 0.000 0.688 0.312
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0983 0.7929 0.016 0.980 0.004
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.6927 0.5180 0.040 0.664 0.296
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0424 0.7960 0.008 0.992 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.7956 0.3069 0.516 0.060 0.424
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.3826 0.8851 0.868 0.124 0.008
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.7248 0.7337 0.108 0.184 0.708
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.1289 0.7981 0.000 0.968 0.032
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.5560 0.5867 0.000 0.700 0.300
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0592 0.7951 0.012 0.988 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.4830 0.8246 0.848 0.068 0.084
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.3755 0.8841 0.872 0.120 0.008
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2711 0.8823 0.912 0.088 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.7248 0.7337 0.108 0.184 0.708
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.1860 0.7917 0.000 0.948 0.052
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0892 0.7986 0.000 0.980 0.020
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0237 0.7960 0.004 0.996 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.7284 0.3958 0.620 0.044 0.336
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.3989 0.8847 0.864 0.124 0.012
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.4842 0.6799 0.000 0.776 0.224
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.7948 0.2818 0.060 0.420 0.520
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.2711 0.8823 0.912 0.088 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1182 0.7924 0.012 0.976 0.012
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5327 0.6268 0.000 0.728 0.272
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.4139 0.8837 0.860 0.124 0.016
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.1643 0.7959 0.000 0.956 0.044
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.7963 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1919 0.7849 0.020 0.956 0.024
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.3755 0.8841 0.872 0.120 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.3989 0.8847 0.864 0.124 0.012
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6887 0.5318 0.076 0.720 0.204
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3989 0.8847 0.864 0.124 0.012
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.7248 0.7337 0.108 0.184 0.708
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.7248 0.7337 0.108 0.184 0.708
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.3116 0.7630 0.000 0.892 0.108
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5378 0.6650 0.008 0.756 0.236
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3644 0.8857 0.872 0.124 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.7963 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4289 0.7213 0.040 0.868 0.092
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.3826 0.8851 0.868 0.124 0.008
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7666 0.3004 0.076 0.636 0.288
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7666 0.3004 0.076 0.636 0.288
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.4281 0.8385 0.872 0.056 0.072
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.5882 0.5094 0.000 0.652 0.348
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.7012 0.4998 0.040 0.652 0.308
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4811 0.5380 0.148 0.024 0.828
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0237 0.7969 0.000 0.996 0.004
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.3573 0.8872 0.876 0.120 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4209 0.8769 0.856 0.128 0.016
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0237 0.7969 0.000 0.996 0.004
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.7931 0.2999 0.060 0.412 0.528
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1129 0.7910 0.020 0.976 0.004
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4035 0.7300 0.040 0.880 0.080
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4452 0.7105 0.000 0.808 0.192
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0237 0.7960 0.004 0.996 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.7963 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.4390 0.8602 0.840 0.148 0.012
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5465 0.6123 0.000 0.712 0.288
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2711 0.8823 0.912 0.088 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1129 0.7910 0.020 0.976 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.5706 0.5560 0.000 0.680 0.320
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.4469 0.8435 0.864 0.060 0.076
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.3644 0.8856 0.872 0.124 0.004
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.1964 0.7917 0.000 0.944 0.056
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.3500 0.8880 0.880 0.116 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.5216 0.6405 0.000 0.740 0.260
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6079 0.4091 0.000 0.612 0.388
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.7963 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4452 0.7105 0.000 0.808 0.192
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1989 0.7932 0.004 0.948 0.048
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0848 0.7981 0.008 0.984 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.6027 0.5905 0.016 0.712 0.272
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4931 0.6726 0.000 0.768 0.232
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.5706 0.5560 0.000 0.680 0.320
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7607 0.3266 0.076 0.644 0.280
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2805 0.80263 0.888 0.000 0.012 0.100
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1762 0.74144 0.004 0.944 0.048 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5400 0.59536 0.020 0.772 0.100 0.108
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.6079 0.64980 0.000 0.380 0.568 0.052
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2360 0.85915 0.924 0.052 0.020 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1762 0.74144 0.004 0.944 0.048 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2174 0.85926 0.928 0.052 0.000 0.020
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1722 0.86167 0.944 0.048 0.000 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.8377 0.09852 0.376 0.032 0.192 0.400
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.5600 0.70708 0.000 0.376 0.596 0.028
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.1406 0.85706 0.960 0.024 0.000 0.016
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.4948 -0.29837 0.000 0.560 0.440 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1637 0.73825 0.000 0.940 0.060 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.3105 0.79493 0.868 0.000 0.012 0.120
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0592 0.75030 0.000 0.984 0.016 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7820 -0.10980 0.008 0.452 0.344 0.196
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2647 0.69898 0.000 0.880 0.120 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5040 0.71845 0.000 0.364 0.628 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4105 0.68300 0.008 0.840 0.100 0.052
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0657 0.75130 0.004 0.984 0.012 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2483 0.85584 0.916 0.052 0.000 0.032
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2334 0.73129 0.000 0.908 0.088 0.004
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.6087 0.61549 0.000 0.412 0.540 0.048
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0336 0.75088 0.000 0.992 0.008 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.5040 0.71845 0.000 0.364 0.628 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7861 -0.40601 0.020 0.436 0.396 0.148
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1398 0.75135 0.000 0.956 0.040 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.5339 0.71510 0.000 0.356 0.624 0.020
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.7449 0.22525 0.464 0.000 0.180 0.356
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1396 0.75350 0.004 0.960 0.032 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1492 0.74734 0.004 0.956 0.036 0.004
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.9833 0.27331 0.252 0.224 0.188 0.336
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.2310 0.86303 0.932 0.032 0.016 0.020
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1675 0.74280 0.004 0.948 0.044 0.004
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.4961 0.62418 0.000 0.448 0.552 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.5600 0.70708 0.000 0.376 0.596 0.028
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0592 0.75030 0.000 0.984 0.016 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4933 -0.27548 0.000 0.568 0.432 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0469 0.75134 0.000 0.988 0.012 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0779 0.75097 0.004 0.980 0.016 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6676 -0.28346 0.008 0.528 0.396 0.068
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.4713 0.56887 0.052 0.000 0.172 0.776
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.7731 0.18038 0.040 0.576 0.152 0.232
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.2174 0.85926 0.928 0.052 0.000 0.020
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.5998 0.48898 0.000 0.200 0.684 0.116
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.6439 0.17101 0.000 0.172 0.648 0.180
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.6544 0.47327 0.044 0.700 0.156 0.100
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.1406 0.85706 0.960 0.024 0.000 0.016
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.7395 0.23323 0.480 0.000 0.176 0.344
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.3206 0.85278 0.896 0.048 0.028 0.028
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0188 0.75113 0.000 0.996 0.004 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.2587 0.85698 0.916 0.056 0.020 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.5337 0.65792 0.000 0.424 0.564 0.012
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2570 0.73209 0.004 0.916 0.052 0.028
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.4853 0.66264 0.744 0.000 0.036 0.220
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.2275 0.86075 0.928 0.048 0.020 0.004
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.3669 0.84276 0.876 0.052 0.032 0.040
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.3219 0.64400 0.000 0.836 0.164 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4853 0.66264 0.744 0.000 0.036 0.220
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1151 0.85744 0.968 0.024 0.000 0.008
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.6147 0.64054 0.000 0.380 0.564 0.056
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.1762 0.74144 0.004 0.944 0.048 0.004
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.1389 0.86159 0.952 0.048 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.7803 -0.08938 0.008 0.460 0.336 0.196
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.2529 0.85997 0.920 0.048 0.024 0.008
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0524 0.75129 0.004 0.988 0.008 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.1389 0.86159 0.952 0.048 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.5256 0.69280 0.000 0.392 0.596 0.012
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.5203 0.66541 0.000 0.416 0.576 0.008
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.7275 0.40260 0.144 0.660 0.100 0.096
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.6214 0.53774 0.000 0.468 0.480 0.052
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#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.1762 0.74690 0.004 0.944 0.048 0.004
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0657 0.75262 0.004 0.984 0.012 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.8484 -0.12413 0.056 0.492 0.264 0.188
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.1305 0.75222 0.000 0.960 0.036 0.004
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.2814 0.70282 0.000 0.868 0.132 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.2652 0.72991 0.004 0.912 0.056 0.028
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1489 0.74434 0.004 0.952 0.044 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.2060 0.86001 0.932 0.052 0.000 0.016
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0921 0.75121 0.000 0.972 0.028 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0188 0.75113 0.000 0.996 0.004 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.1929 0.85454 0.940 0.024 0.000 0.036
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4517 0.59557 0.004 0.792 0.168 0.036
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3641 0.69431 0.008 0.868 0.072 0.052
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1762 0.74144 0.004 0.944 0.048 0.004
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.5220 0.65695 0.000 0.424 0.568 0.008
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 4 0.4500 0.60196 0.000 0.000 0.316 0.684
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0376 0.75100 0.004 0.992 0.004 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.5070 -0.06597 0.000 0.620 0.372 0.008
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.5900 0.51751 0.148 0.744 0.056 0.052
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.7395 0.23323 0.480 0.000 0.176 0.344
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.6323 0.54319 0.000 0.248 0.640 0.112
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.2699 0.69754 0.000 0.904 0.068 0.028
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.5339 0.71648 0.000 0.356 0.624 0.020
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.1762 0.74690 0.004 0.944 0.048 0.004
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.6135 0.63882 0.000 0.376 0.568 0.056
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0779 0.75413 0.004 0.980 0.016 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.6451 0.14269 0.524 0.000 0.072 0.404
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.2174 0.85926 0.928 0.052 0.000 0.020
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.2760 0.70955 0.000 0.872 0.128 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.5269 0.71680 0.000 0.364 0.620 0.016
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1004 0.75068 0.004 0.972 0.024 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.3552 0.77575 0.848 0.000 0.024 0.128
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.3484 0.84661 0.884 0.052 0.032 0.032
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.1406 0.85706 0.960 0.024 0.000 0.016
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3569 0.59923 0.000 0.804 0.196 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1557 0.74011 0.000 0.944 0.056 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0657 0.75262 0.004 0.984 0.012 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.7449 0.22525 0.464 0.000 0.180 0.356
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5294 -0.45832 0.000 0.508 0.484 0.008
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.5690 0.20516 0.000 0.096 0.708 0.196
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.1406 0.85706 0.960 0.024 0.000 0.016
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1396 0.74883 0.004 0.960 0.032 0.004
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.5220 0.65695 0.000 0.424 0.568 0.008
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.2385 0.85765 0.920 0.052 0.000 0.028
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.3266 0.65842 0.000 0.832 0.168 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0336 0.75194 0.000 0.992 0.008 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2075 0.74174 0.004 0.936 0.044 0.016
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.3484 0.84661 0.884 0.052 0.032 0.032
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6942 0.37289 0.020 0.640 0.196 0.144
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2282 0.85858 0.924 0.052 0.000 0.024
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 4 0.8273 0.73038 0.100 0.128 0.212 0.560
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4040 0.49029 0.000 0.752 0.248 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.5864 0.51947 0.004 0.480 0.492 0.024
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.2825 0.85495 0.908 0.056 0.024 0.012
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0336 0.75088 0.000 0.992 0.008 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4407 0.67408 0.016 0.832 0.076 0.076
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2174 0.85926 0.928 0.052 0.000 0.020
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7323 -0.06303 0.000 0.484 0.352 0.164
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7314 -0.05700 0.000 0.488 0.348 0.164
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.3166 0.79737 0.868 0.000 0.016 0.116
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.6672 0.62025 0.000 0.408 0.504 0.088
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.6000 0.67244 0.000 0.356 0.592 0.052
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.4864 0.56928 0.060 0.000 0.172 0.768
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0707 0.75201 0.000 0.980 0.020 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.2864 0.85616 0.908 0.052 0.024 0.016
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3827 0.83775 0.868 0.060 0.032 0.040
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0707 0.75201 0.000 0.980 0.020 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.5585 0.19452 0.000 0.084 0.712 0.204
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1762 0.74144 0.004 0.944 0.048 0.004
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4195 0.68593 0.016 0.844 0.068 0.072
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5070 -0.06597 0.000 0.620 0.372 0.008
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0376 0.75100 0.004 0.992 0.004 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0336 0.75088 0.000 0.992 0.008 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3910 0.82386 0.860 0.080 0.032 0.028
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6214 0.53774 0.000 0.468 0.480 0.052
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1406 0.85706 0.960 0.024 0.000 0.016
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1762 0.74355 0.004 0.944 0.048 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5339 0.71510 0.000 0.356 0.624 0.020
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.3231 0.80128 0.868 0.004 0.012 0.116
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.2060 0.86001 0.932 0.052 0.000 0.016
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3610 0.59935 0.000 0.800 0.200 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.2275 0.86075 0.928 0.048 0.020 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.4898 0.67700 0.000 0.416 0.584 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.7372 -0.50472 0.000 0.420 0.420 0.160
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0188 0.75113 0.000 0.996 0.004 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5070 -0.06597 0.000 0.620 0.372 0.008
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2976 0.68761 0.000 0.872 0.120 0.008
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1585 0.75118 0.004 0.952 0.040 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5768 0.46750 0.000 0.456 0.516 0.028
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.5506 -0.44993 0.000 0.512 0.472 0.016
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5420 0.71461 0.000 0.352 0.624 0.024
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7259 -0.05748 0.000 0.492 0.352 0.156
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4555 0.65618 0.200 0.000 0.068 0.732 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4953 0.65714 0.140 0.760 0.052 0.004 0.044
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.5683 0.67662 0.024 0.228 0.088 0.000 0.660
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2856 0.78727 0.104 0.008 0.016 0.872 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> C227E512-1327-4BD0-8A9E-613D64F37829 4 0.1329 0.80288 0.004 0.008 0.032 0.956 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1087 0.80660 0.008 0.008 0.016 0.968 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.6138 0.64297 0.680 0.020 0.148 0.120 0.032
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.4686 0.69998 0.012 0.192 0.056 0.000 0.740
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.0992 0.80177 0.008 0.000 0.024 0.968 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.4242 0.41646 0.000 0.428 0.000 0.000 0.572
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1952 0.77005 0.004 0.912 0.000 0.000 0.084
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.5140 0.56688 0.284 0.000 0.060 0.652 0.004
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1041 0.77999 0.004 0.964 0.000 0.000 0.032
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7757 -0.04075 0.300 0.416 0.076 0.000 0.208
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2741 0.74029 0.004 0.860 0.004 0.000 0.132
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.3513 0.71642 0.000 0.180 0.020 0.000 0.800
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4207 0.72287 0.040 0.820 0.056 0.004 0.080
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0324 0.78023 0.004 0.992 0.000 0.000 0.004
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 4 0.1569 0.79889 0.004 0.008 0.044 0.944 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2796 0.75730 0.008 0.868 0.008 0.000 0.116
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.5828 0.67066 0.020 0.276 0.084 0.000 0.620
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0865 0.78018 0.004 0.972 0.000 0.000 0.024
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.3513 0.71642 0.000 0.180 0.020 0.000 0.800
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7783 -0.32739 0.048 0.392 0.176 0.016 0.368
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1717 0.78236 0.004 0.936 0.008 0.000 0.052
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.4050 0.70419 0.008 0.172 0.036 0.000 0.784
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.2674 0.79296 0.856 0.000 0.000 0.140 0.004
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1205 0.78257 0.004 0.956 0.000 0.000 0.040
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1372 0.77907 0.016 0.956 0.004 0.000 0.024
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.5151 0.40842 0.720 0.208 0.016 0.024 0.032
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1864 0.80324 0.068 0.004 0.004 0.924 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1686 0.77165 0.028 0.944 0.008 0.000 0.020
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3766 0.71554 0.000 0.268 0.004 0.000 0.728
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.4686 0.69998 0.012 0.192 0.056 0.000 0.740
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1041 0.77999 0.004 0.964 0.000 0.000 0.032
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.4242 0.42445 0.000 0.428 0.000 0.000 0.572
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0955 0.78066 0.004 0.968 0.000 0.000 0.028
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0451 0.77995 0.004 0.988 0.000 0.000 0.008
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6607 -0.17647 0.036 0.476 0.080 0.004 0.404
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.4931 0.25256 0.372 0.000 0.600 0.012 0.016
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.5935 0.30896 0.368 0.556 0.032 0.004 0.040
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 4 0.1329 0.80288 0.004 0.008 0.032 0.956 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.6212 0.49215 0.080 0.100 0.160 0.000 0.660
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.7742 0.24952 0.188 0.136 0.184 0.000 0.492
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.6548 0.53331 0.048 0.672 0.108 0.044 0.128
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0992 0.80177 0.008 0.000 0.024 0.968 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.3356 0.79487 0.844 0.000 0.024 0.120 0.012
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.3877 0.71351 0.212 0.024 0.000 0.764 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0404 0.78008 0.000 0.988 0.000 0.000 0.012
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.3265 0.77372 0.120 0.020 0.012 0.848 0.000
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#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0290 0.77982 0.000 0.992 0.000 0.000 0.008
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.4717 0.68985 0.048 0.780 0.072 0.000 0.100
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> CEA8617F-0E70-43DC-8075-CA4698661303 5 0.7221 0.49755 0.048 0.292 0.176 0.000 0.484
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 4 0.1569 0.79889 0.004 0.008 0.044 0.944 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0865 0.78018 0.004 0.972 0.000 0.000 0.024
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 5 0.7013 0.31366 0.180 0.068 0.188 0.000 0.564
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.3366 0.65964 0.000 0.784 0.004 0.000 0.212
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.4276 0.67471 0.168 0.000 0.068 0.764 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 4 0.3525 0.74391 0.184 0.008 0.008 0.800 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.5059 0.58965 0.280 0.000 0.056 0.660 0.004
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.3205 0.70779 0.004 0.816 0.004 0.000 0.176
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.1885 0.78012 0.020 0.932 0.004 0.000 0.044
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.5100 0.57693 0.288 0.000 0.056 0.652 0.004
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.7922 0.00667 0.200 0.448 0.120 0.000 0.232
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.3882 0.78280 0.824 0.000 0.060 0.100 0.016
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 5 0.3670 0.72211 0.004 0.180 0.020 0.000 0.796
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.3511 0.67301 0.012 0.800 0.004 0.000 0.184
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.5781 0.27592 0.364 0.000 0.076 0.552 0.008
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0404 0.78008 0.000 0.988 0.000 0.000 0.012
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0566 0.77909 0.004 0.984 0.000 0.000 0.012
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 5 0.3651 0.70519 0.004 0.160 0.028 0.000 0.808
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.2488 0.79712 0.872 0.000 0.000 0.124 0.004
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.4234 0.73751 0.156 0.012 0.040 0.788 0.004
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.3579 0.62213 0.000 0.756 0.004 0.000 0.240
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.4276 0.28301 0.000 0.616 0.004 0.000 0.380
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 5 0.7935 0.22845 0.196 0.156 0.184 0.000 0.464
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.3141 0.77902 0.096 0.004 0.040 0.860 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0290 0.77982 0.000 0.992 0.000 0.000 0.008
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.4302 -0.08854 0.000 0.520 0.000 0.000 0.480
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.3366 0.65964 0.000 0.784 0.004 0.000 0.212
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.1988 0.77740 0.016 0.928 0.008 0.000 0.048
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.1780 0.77440 0.024 0.940 0.008 0.000 0.028
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0703 0.78131 0.000 0.976 0.000 0.000 0.024
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.8333 -0.03327 0.056 0.456 0.196 0.056 0.236
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.1644 0.78276 0.004 0.940 0.008 0.000 0.048
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.3047 0.72793 0.004 0.832 0.004 0.000 0.160
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.2917 0.75853 0.040 0.888 0.024 0.000 0.048
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1403 0.77652 0.024 0.952 0.000 0.000 0.024
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 4 0.1243 0.80375 0.004 0.008 0.028 0.960 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.1282 0.78097 0.004 0.952 0.000 0.000 0.044
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0404 0.78008 0.000 0.988 0.000 0.000 0.012
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.3248 0.77484 0.104 0.004 0.040 0.852 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4436 0.64325 0.024 0.764 0.032 0.000 0.180
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3794 0.73319 0.072 0.844 0.032 0.004 0.048
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> B53929AB-C35E-44E0-9BB9-89029834D737 5 0.4892 0.69165 0.016 0.280 0.028 0.000 0.676
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.5136 0.58669 0.128 0.000 0.692 0.000 0.180
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0290 0.77982 0.000 0.992 0.000 0.000 0.008
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.5355 -0.05974 0.012 0.536 0.032 0.000 0.420
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.5662 0.60385 0.112 0.732 0.040 0.092 0.024
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.3356 0.79487 0.844 0.000 0.024 0.120 0.012
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 5 0.6599 0.54049 0.092 0.136 0.144 0.000 0.628
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.2761 0.74250 0.048 0.896 0.028 0.000 0.028
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.3929 0.70554 0.004 0.172 0.036 0.000 0.788
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.1780 0.77440 0.024 0.940 0.008 0.000 0.028
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.5854 0.66196 0.024 0.232 0.100 0.000 0.644
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0579 0.78299 0.008 0.984 0.000 0.000 0.008
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.6602 0.05170 0.124 0.000 0.408 0.448 0.020
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 4 0.1329 0.80288 0.004 0.008 0.032 0.956 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.3006 0.73374 0.004 0.836 0.004 0.000 0.156
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.3687 0.71329 0.000 0.180 0.028 0.000 0.792
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0671 0.77971 0.004 0.980 0.000 0.000 0.016
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.5026 0.59094 0.244 0.000 0.068 0.684 0.004
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.4288 0.68879 0.224 0.032 0.004 0.740 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0992 0.80177 0.008 0.000 0.024 0.968 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.6199 0.85879 0.004 0.064 0.668 0.108 0.156
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3647 0.64202 0.004 0.764 0.004 0.000 0.228
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1892 0.77163 0.004 0.916 0.000 0.000 0.080
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0703 0.78131 0.000 0.976 0.000 0.000 0.024
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.2674 0.79296 0.856 0.000 0.000 0.140 0.004
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.4564 0.54162 0.000 0.372 0.016 0.000 0.612
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.6784 0.30420 0.184 0.048 0.192 0.000 0.576
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.0992 0.80177 0.008 0.000 0.024 0.968 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1278 0.78027 0.016 0.960 0.004 0.000 0.020
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.4892 0.69165 0.016 0.280 0.028 0.000 0.676
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 4 0.1492 0.80080 0.004 0.008 0.040 0.948 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.3231 0.68758 0.004 0.800 0.000 0.000 0.196
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0510 0.78078 0.000 0.984 0.000 0.000 0.016
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2171 0.77328 0.028 0.924 0.016 0.000 0.032
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.4258 0.69323 0.220 0.032 0.004 0.744 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.7195 0.38778 0.156 0.580 0.088 0.008 0.168
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.1412 0.80225 0.004 0.008 0.036 0.952 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.6047 0.86179 0.000 0.064 0.672 0.108 0.156
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4084 0.45439 0.004 0.668 0.000 0.000 0.328
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.5427 0.55908 0.024 0.368 0.028 0.000 0.580
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.3972 0.73129 0.188 0.020 0.012 0.780 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0865 0.78018 0.004 0.972 0.000 0.000 0.024
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4284 0.71281 0.080 0.816 0.052 0.004 0.048
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.1329 0.80288 0.004 0.008 0.032 0.956 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7938 0.00222 0.200 0.444 0.120 0.000 0.236
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7922 0.00667 0.200 0.448 0.120 0.000 0.232
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.5277 0.56706 0.288 0.000 0.060 0.644 0.008
#> EAA457D5-032F-49D0-8D27-A841EB248964 5 0.6327 0.62868 0.036 0.268 0.104 0.000 0.592
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.5643 0.68147 0.024 0.208 0.096 0.000 0.672
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5099 0.24106 0.368 0.000 0.596 0.016 0.020
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.1168 0.78093 0.008 0.960 0.000 0.000 0.032
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4061 0.72855 0.188 0.024 0.012 0.776 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4823 0.62760 0.264 0.040 0.008 0.688 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1168 0.78093 0.008 0.960 0.000 0.000 0.032
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.6644 0.29703 0.188 0.036 0.196 0.000 0.580
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1780 0.77036 0.028 0.940 0.008 0.000 0.024
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4085 0.72259 0.076 0.828 0.048 0.004 0.044
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5355 -0.05974 0.012 0.536 0.032 0.000 0.420
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0290 0.77982 0.000 0.992 0.000 0.000 0.008
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0865 0.78018 0.004 0.972 0.000 0.000 0.024
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.5007 0.63568 0.244 0.052 0.012 0.692 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.5822 0.61447 0.028 0.324 0.056 0.000 0.592
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0992 0.80177 0.008 0.000 0.024 0.968 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1780 0.77208 0.028 0.940 0.008 0.000 0.024
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.4050 0.70419 0.008 0.172 0.036 0.000 0.784
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4528 0.67274 0.160 0.004 0.080 0.756 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 4 0.1243 0.80375 0.004 0.008 0.028 0.960 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3424 0.62869 0.000 0.760 0.000 0.000 0.240
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2746 0.78308 0.112 0.008 0.008 0.872 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.3521 0.72660 0.000 0.232 0.004 0.000 0.764
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.7221 0.49755 0.048 0.292 0.176 0.000 0.484
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0404 0.78008 0.000 0.988 0.000 0.000 0.012
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5355 -0.05974 0.012 0.536 0.032 0.000 0.420
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3044 0.71939 0.008 0.840 0.004 0.000 0.148
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1484 0.78149 0.008 0.944 0.000 0.000 0.048
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.5953 0.49738 0.032 0.360 0.052 0.000 0.556
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.4948 0.57550 0.008 0.356 0.024 0.000 0.612
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.4087 0.70030 0.008 0.168 0.040 0.000 0.784
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7885 0.00767 0.196 0.452 0.116 0.000 0.236
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 4 0.1007 0.75946 0.044 0.000 0.000 0.956 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.5192 0.54061 0.108 0.000 0.000 0.616 0.268 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 4 0.1007 0.75946 0.044 0.000 0.000 0.956 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.3234 0.73125 0.012 0.820 0.008 0.000 0.008 0.152
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5457 0.59788 0.056 0.716 0.028 0.004 0.104 0.092
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4956 0.42993 0.004 0.116 0.652 0.000 0.000 0.228
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.3109 0.72683 0.016 0.000 0.000 0.812 0.168 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.3161 0.72858 0.012 0.820 0.004 0.000 0.008 0.156
#> C227E512-1327-4BD0-8A9E-613D64F37829 4 0.0937 0.76008 0.040 0.000 0.000 0.960 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1478 0.76595 0.020 0.000 0.000 0.944 0.032 0.004
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4282 0.85748 0.732 0.004 0.180 0.084 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 5 0.5787 0.55694 0.136 0.012 0.008 0.060 0.676 0.108
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2271 0.61522 0.036 0.032 0.908 0.000 0.000 0.024
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#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4051 0.59211 0.028 0.188 0.756 0.000 0.000 0.028
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 4 0.1007 0.76052 0.044 0.000 0.000 0.956 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.4447 0.65894 0.008 0.704 0.224 0.000 0.000 0.064
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1353 0.77038 0.012 0.952 0.024 0.000 0.000 0.012
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3012 0.74985 0.028 0.876 0.040 0.000 0.016 0.040
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.4477 0.60696 0.004 0.032 0.000 0.664 0.292 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 4 0.1007 0.75946 0.044 0.000 0.000 0.956 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.7473 -0.04158 0.068 0.444 0.096 0.000 0.084 0.308
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.1007 0.75946 0.044 0.000 0.000 0.956 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.4282 0.85748 0.732 0.004 0.180 0.084 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.4282 0.85748 0.732 0.004 0.180 0.084 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4778 0.17914 0.000 0.524 0.424 0.000 0.000 0.052
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.5069 0.46157 0.036 0.304 0.624 0.000 0.004 0.032
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4049 0.65519 0.008 0.020 0.000 0.716 0.252 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1226 0.77620 0.004 0.952 0.040 0.000 0.000 0.004
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4831 0.67364 0.060 0.768 0.032 0.004 0.052 0.084
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.0937 0.76008 0.040 0.000 0.000 0.960 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.6242 0.58345 0.024 0.408 0.032 0.000 0.076 0.460
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.6184 0.58161 0.024 0.412 0.028 0.000 0.076 0.460
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.5778 0.37560 0.112 0.000 0.000 0.508 0.360 0.020
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5460 0.54381 0.092 0.164 0.680 0.000 0.008 0.056
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4503 0.45449 0.000 0.084 0.684 0.000 0.000 0.232
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.5929 0.32209 0.512 0.000 0.004 0.004 0.288 0.192
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.1578 0.77804 0.004 0.936 0.048 0.000 0.000 0.012
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4127 0.65182 0.008 0.024 0.000 0.712 0.252 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4929 0.53500 0.004 0.040 0.000 0.612 0.328 0.016
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1578 0.77804 0.004 0.936 0.048 0.000 0.000 0.012
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.4450 0.36729 0.016 0.000 0.308 0.000 0.024 0.652
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.3161 0.72858 0.012 0.820 0.004 0.000 0.008 0.156
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4732 0.68165 0.056 0.776 0.036 0.004 0.048 0.080
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.5073 0.18051 0.028 0.468 0.476 0.000 0.000 0.028
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1065 0.76922 0.008 0.964 0.020 0.000 0.000 0.008
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1296 0.77661 0.004 0.948 0.044 0.000 0.000 0.004
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4956 0.54378 0.008 0.052 0.000 0.624 0.308 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.5337 0.51148 0.060 0.236 0.652 0.000 0.004 0.048
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1492 0.76044 0.024 0.000 0.000 0.940 0.036 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.3157 0.73436 0.012 0.828 0.008 0.000 0.008 0.144
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.1275 0.61699 0.016 0.016 0.956 0.000 0.000 0.012
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.5123 0.56437 0.104 0.004 0.000 0.660 0.220 0.012
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 4 0.0865 0.76104 0.036 0.000 0.000 0.964 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.4476 0.61042 0.008 0.676 0.268 0.000 0.000 0.048
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2879 0.72010 0.004 0.000 0.000 0.816 0.176 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2176 0.63707 0.000 0.080 0.896 0.000 0.000 0.024
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6656 0.41021 0.164 0.204 0.544 0.000 0.008 0.080
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1149 0.77015 0.008 0.960 0.024 0.000 0.000 0.008
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.5073 0.18051 0.028 0.468 0.476 0.000 0.000 0.028
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3577 0.71773 0.012 0.792 0.172 0.000 0.004 0.020
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2145 0.76942 0.008 0.912 0.056 0.000 0.004 0.020
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5756 0.29339 0.000 0.264 0.532 0.000 0.004 0.200
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3542 0.58077 0.016 0.184 0.784 0.000 0.000 0.016
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1364 0.61517 0.020 0.016 0.952 0.000 0.000 0.012
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.6220 0.56938 0.024 0.412 0.036 0.000 0.068 0.460
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.993 0.997 0.4663 0.535 0.535
#> 3 3 0.560 0.533 0.725 0.3390 0.866 0.752
#> 4 4 0.565 0.443 0.667 0.1572 0.740 0.452
#> 5 5 0.647 0.564 0.715 0.0774 0.884 0.617
#> 6 6 0.722 0.687 0.792 0.0476 0.904 0.607
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.000 0.9983 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.000 0.9983 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.000 0.9983 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.000 0.9968 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.278 0.9491 0.952 0.048
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.000 0.9968 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.000 0.9983 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.000 0.9968 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.000 0.9983 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.000 0.9983 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.000 0.9983 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.000 0.9983 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.000 0.9968 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.000 0.9983 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.000 0.9968 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.000 0.9968 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.000 0.9983 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.000 0.9968 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.000 0.9968 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.000 0.9968 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.000 0.9968 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.000 0.9968 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.000 0.9968 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.000 0.9983 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.000 0.9968 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.000 0.9968 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.000 0.9968 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.000 0.9968 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.000 0.9968 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.000 0.9968 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.000 0.9968 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.000 0.9983 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.000 0.9968 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.000 0.9968 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.000 0.9968 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.000 0.9983 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.000 0.9968 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.000 0.9968 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.000 0.9983 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.000 0.9968 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.000 0.9968 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.000 0.9968 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.000 0.9968 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.000 0.9968 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.000 0.9983 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.000 0.9968 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.000 0.9983 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.000 0.9968 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.000 0.9983 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.000 0.9968 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.000 0.9968 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.000 0.9968 0.000 1.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.000 0.9983 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.000 0.9983 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.000 0.9983 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.000 0.9968 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.000 0.9983 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.000 0.9968 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.000 0.9968 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.000 0.9983 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.000 0.9983 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.000 0.9983 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.000 0.9968 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.000 0.9983 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.000 0.9983 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.000 0.9968 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.000 0.9968 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.000 0.9983 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.000 0.9983 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.000 0.9968 0.000 1.000
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#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.000 0.9968 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.000 0.9983 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.000 0.9983 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.000 0.9968 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.000 0.9983 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.000 0.9983 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.000 0.9983 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.000 0.9968 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.000 0.9968 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.000 0.9983 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.000 0.9968 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.000 0.9968 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.000 0.9983 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.000 0.9968 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.000 0.9968 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.000 0.9983 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.000 0.9968 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.000 0.9968 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.000 0.9983 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.000 0.9968 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.000 0.9983 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.000 0.9983 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.000 0.9968 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.000 0.9968 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.000 0.9968 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.000 0.9968 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.000 0.9968 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.000 0.9968 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.000 0.9968 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.000 0.9983 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.000 0.9968 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.000 0.9983 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.000 0.9968 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.000 0.9968 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.000 0.9983 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.000 0.9983 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.000 0.9968 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.000 0.9983 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.000 0.9968 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.000 0.9968 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.000 0.9968 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.000 0.9968 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.000 0.9968 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.000 0.9968 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.000 0.9968 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.000 0.9968 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.000 0.9968 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.000 0.9968 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0237 0.87612 0.996 0.000 0.004
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.4121 0.90167 0.832 0.000 0.168
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.87776 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5397 0.53133 0.000 0.720 0.280
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.3856 0.40588 0.072 0.040 0.888
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5254 0.25713 0.000 0.736 0.264
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.4235 0.90075 0.824 0.000 0.176
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4555 0.56312 0.000 0.800 0.200
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.87776 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.3816 0.90216 0.852 0.000 0.148
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6970 0.46337 0.676 0.276 0.048
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.6305 -0.50112 0.484 0.000 0.516
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.1031 0.55879 0.000 0.976 0.024
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.4062 0.90211 0.836 0.000 0.164
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.2165 0.58717 0.000 0.936 0.064
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6260 0.39368 0.000 0.552 0.448
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4452 0.89672 0.808 0.000 0.192
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.6302 0.35459 0.000 0.520 0.480
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.5529 0.29124 0.000 0.296 0.704
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2356 0.58839 0.000 0.928 0.072
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.1163 0.55660 0.000 0.972 0.028
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.6307 0.34116 0.000 0.512 0.488
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.6302 0.35459 0.000 0.520 0.480
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0237 0.87612 0.996 0.000 0.004
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2165 0.58717 0.000 0.936 0.064
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.1031 0.55879 0.000 0.976 0.024
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.6274 0.38457 0.000 0.544 0.456
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.1163 0.55660 0.000 0.972 0.028
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6235 0.29000 0.000 0.564 0.436
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5397 0.53133 0.000 0.720 0.280
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.1163 0.55660 0.000 0.972 0.028
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.5291 0.84056 0.732 0.000 0.268
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.6308 -0.32712 0.000 0.492 0.508
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.6235 -0.18070 0.000 0.436 0.564
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.4399 0.41757 0.000 0.188 0.812
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.4178 0.90135 0.828 0.000 0.172
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.5560 0.51841 0.000 0.700 0.300
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.2066 0.58657 0.000 0.940 0.060
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0592 0.87281 0.988 0.000 0.012
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.1643 0.54738 0.000 0.956 0.044
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.6280 0.37974 0.000 0.540 0.460
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.56927 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5291 0.52951 0.000 0.732 0.268
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.6309 0.32480 0.000 0.504 0.496
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.87776 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6291 0.27088 0.000 0.532 0.468
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.6275 0.47072 0.644 0.008 0.348
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.4605 0.40955 0.000 0.204 0.796
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.87776 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.5905 0.20904 0.000 0.648 0.352
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.6008 0.20569 0.000 0.628 0.372
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.6309 -0.32865 0.000 0.496 0.504
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.4002 0.90228 0.840 0.000 0.160
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.6302 0.54644 0.520 0.000 0.480
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4452 0.89672 0.808 0.000 0.192
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.6302 0.35459 0.000 0.520 0.480
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.4452 0.89672 0.808 0.000 0.192
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.4702 0.47058 0.000 0.788 0.212
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.5621 0.19043 0.000 0.308 0.692
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.4605 0.89097 0.796 0.000 0.204
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.4346 0.89890 0.816 0.000 0.184
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.4504 0.89529 0.804 0.000 0.196
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.2878 0.58841 0.000 0.904 0.096
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4346 0.89878 0.816 0.000 0.184
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.4062 0.90211 0.836 0.000 0.164
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.2625 0.58014 0.000 0.916 0.084
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.5560 0.51841 0.000 0.700 0.300
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.87776 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.4002 0.90228 0.840 0.000 0.160
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4555 0.40408 0.000 0.200 0.800
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.4452 0.89672 0.808 0.000 0.192
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.6305 0.34797 0.000 0.516 0.484
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.4002 0.90228 0.840 0.000 0.160
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.87776 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.4750 0.46410 0.000 0.784 0.216
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.4931 0.45664 0.000 0.768 0.232
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.5610 0.86016 0.776 0.028 0.196
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.4121 0.50628 0.000 0.832 0.168
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.87776 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.56927 0.000 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.6305 0.34855 0.000 0.516 0.484
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.2998 0.81541 0.916 0.068 0.016
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.3816 0.90216 0.852 0.000 0.148
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.6302 0.35459 0.000 0.520 0.480
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.87776 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.87776 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.87776 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.5760 0.49911 0.000 0.672 0.328
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.4504 0.89529 0.804 0.000 0.196
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.5560 0.51841 0.000 0.700 0.300
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.3043 0.39788 0.084 0.008 0.908
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.56927 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.5678 0.76747 0.684 0.000 0.316
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.6309 0.32720 0.000 0.504 0.496
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.6302 0.35459 0.000 0.520 0.480
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.6302 0.35459 0.000 0.520 0.480
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0237 0.87612 0.996 0.000 0.004
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.2165 0.58717 0.000 0.936 0.064
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.5529 0.52330 0.000 0.704 0.296
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.6305 0.34797 0.000 0.516 0.484
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0237 0.87612 0.996 0.000 0.004
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.6302 0.35459 0.000 0.520 0.480
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.2165 0.58717 0.000 0.936 0.064
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.5650 0.18723 0.000 0.688 0.312
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.4399 0.89848 0.812 0.000 0.188
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.2947 0.82171 0.920 0.060 0.020
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 3 0.6225 -0.17410 0.000 0.432 0.568
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.5988 0.21607 0.000 0.632 0.368
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.2176 0.84730 0.948 0.032 0.020
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.87776 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.5397 0.53133 0.000 0.720 0.280
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.2902 0.81959 0.920 0.064 0.016
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0237 0.87612 0.996 0.000 0.004
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.5591 0.19819 0.000 0.696 0.304
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.5431 0.53021 0.000 0.716 0.284
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.6280 0.57786 0.540 0.000 0.460
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.6299 0.25994 0.000 0.524 0.476
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.1015 0.86822 0.980 0.008 0.012
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.56927 0.000 1.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0237 0.56801 0.000 0.996 0.004
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.2804 0.82335 0.924 0.060 0.016
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.5733 0.17321 0.000 0.676 0.324
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.2165 0.58717 0.000 0.936 0.064
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.6302 0.35459 0.000 0.520 0.480
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.2448 0.58875 0.000 0.924 0.076
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 3 0.6215 -0.16516 0.000 0.428 0.572
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#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4974 0.86888 0.764 0.000 0.236
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.6274 0.38457 0.000 0.544 0.456
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5678 0.18115 0.000 0.684 0.316
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5591 0.51657 0.000 0.696 0.304
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.6180 0.05498 0.000 0.416 0.584
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.6168 0.34105 0.000 0.588 0.412
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.6302 0.35459 0.000 0.520 0.480
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.6302 0.35459 0.000 0.520 0.480
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.4504 0.89529 0.804 0.000 0.196
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.2711 0.55863 0.000 0.912 0.088
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.4002 0.90228 0.840 0.000 0.160
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.6286 0.25473 0.000 0.536 0.464
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.1411 0.55192 0.000 0.964 0.036
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.4062 0.90211 0.836 0.000 0.164
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.87776 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2356 0.58839 0.000 0.928 0.072
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.4346 0.89890 0.816 0.000 0.184
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0237 0.56801 0.000 0.996 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.4887 0.45525 0.000 0.772 0.228
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.6302 0.35459 0.000 0.520 0.480
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5058 0.45236 0.000 0.756 0.244
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6299 0.35879 0.000 0.524 0.476
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.6305 0.34797 0.000 0.516 0.484
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.2261 0.58772 0.000 0.932 0.068
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.56927 0.000 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.1643 0.54633 0.000 0.956 0.044
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.4702 0.39639 0.000 0.212 0.788
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1118 0.5194 0.964 0.000 0.000 0.036
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.5167 -0.3930 0.508 0.000 0.004 0.488
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5329 0.2299 0.000 0.568 0.420 0.012
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6089 0.4938 0.000 0.608 0.064 0.328
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.1706 0.7033 0.000 0.016 0.948 0.036
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.4989 -0.3464 0.528 0.000 0.000 0.472
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.5383 0.1948 0.000 0.452 0.536 0.012
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0188 0.5265 0.996 0.000 0.004 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.5039 -0.1945 0.592 0.000 0.004 0.404
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6879 0.2669 0.596 0.000 0.188 0.216
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.4157 0.3084 0.060 0.020 0.072 0.848
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.4985 0.6875 0.000 0.080 0.768 0.152
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.5155 -0.3370 0.528 0.000 0.004 0.468
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3726 0.6774 0.000 0.212 0.788 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1398 0.7118 0.000 0.956 0.040 0.004
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0672 0.7258 0.000 0.984 0.008 0.008
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7706 0.3291 0.000 0.452 0.268 0.280
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.4635 0.6209 0.000 0.268 0.720 0.012
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4775 0.6919 0.000 0.076 0.784 0.140
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0188 0.7286 0.000 0.996 0.000 0.004
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.1118 0.5194 0.964 0.000 0.000 0.036
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.4353 0.6585 0.000 0.232 0.756 0.012
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2271 0.7204 0.000 0.076 0.916 0.008
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1743 0.7026 0.000 0.940 0.056 0.004
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4163 0.7080 0.000 0.076 0.828 0.096
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7065 0.3295 0.000 0.572 0.212 0.216
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5329 0.2299 0.000 0.568 0.420 0.012
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3764 0.7141 0.000 0.076 0.852 0.072
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.4304 0.4345 0.284 0.000 0.000 0.716
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0707 0.7247 0.000 0.980 0.000 0.020
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1042 0.7226 0.000 0.972 0.008 0.020
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.6356 0.4943 0.000 0.604 0.088 0.308
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.5151 -0.3337 0.532 0.000 0.004 0.464
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3982 0.6712 0.000 0.220 0.776 0.004
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3217 0.4635 0.860 0.000 0.012 0.128
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.5309 0.6724 0.000 0.092 0.744 0.164
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1004 0.7199 0.000 0.972 0.024 0.004
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.2859 0.7159 0.000 0.112 0.880 0.008
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4567 0.3723 0.000 0.716 0.276 0.008
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0188 0.7286 0.000 0.996 0.000 0.004
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3377 0.6297 0.000 0.848 0.140 0.012
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.6637 -0.0870 0.368 0.000 0.092 0.540
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6317 0.5088 0.000 0.624 0.096 0.280
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4365 0.6232 0.000 0.028 0.784 0.188
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.5339 0.5605 0.000 0.040 0.688 0.272
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0524 0.7265 0.000 0.988 0.008 0.004
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.5158 -0.3467 0.524 0.000 0.004 0.472
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.5394 0.4022 0.228 0.000 0.060 0.712
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.6775 0.3576 0.000 0.384 0.516 0.100
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3521 0.6694 0.000 0.864 0.052 0.084
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.4978 0.4389 0.384 0.000 0.004 0.612
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.5000 -0.4181 0.500 0.000 0.000 0.500
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.4996 0.4312 0.484 0.000 0.000 0.516
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.4820 0.5818 0.000 0.296 0.692 0.012
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.5167 -0.3905 0.508 0.000 0.004 0.488
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.5155 -0.3370 0.528 0.000 0.004 0.468
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.3355 0.7009 0.000 0.160 0.836 0.004
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.5155 -0.3370 0.528 0.000 0.004 0.468
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.6293 0.5118 0.000 0.628 0.096 0.276
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0188 0.7286 0.000 0.996 0.000 0.004
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.5137 -0.3056 0.544 0.000 0.004 0.452
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0469 0.5258 0.988 0.000 0.000 0.012
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.7031 0.3859 0.000 0.348 0.520 0.132
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.7225 0.3780 0.000 0.352 0.496 0.152
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.7856 -0.2145 0.388 0.276 0.000 0.336
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.7220 0.4362 0.000 0.292 0.532 0.176
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0188 0.5265 0.996 0.000 0.004 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.3205 0.7190 0.000 0.104 0.872 0.024
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.6167 0.3262 0.668 0.000 0.124 0.208
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.5028 -0.1844 0.596 0.000 0.004 0.400
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0188 0.5275 0.996 0.000 0.000 0.004
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0188 0.5265 0.996 0.000 0.004 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.5143 0.3454 0.000 0.628 0.360 0.012
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.5847 0.2950 0.016 0.208 0.064 0.712
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.2918 0.7148 0.000 0.116 0.876 0.008
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.6843 0.3889 0.356 0.112 0.000 0.532
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0707 0.7247 0.000 0.980 0.000 0.020
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.1118 0.5194 0.964 0.000 0.000 0.036
#> FB60555C-BAAB-4561-99A4-5C77101253A9 3 0.4248 0.6675 0.000 0.220 0.768 0.012
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.1118 0.5194 0.964 0.000 0.000 0.036
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.1004 0.7199 0.000 0.972 0.024 0.004
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 3 0.4123 0.6693 0.000 0.220 0.772 0.008
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4054 0.6400 0.000 0.016 0.796 0.188
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.4964 0.4347 0.380 0.000 0.004 0.616
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.6098 0.3344 0.676 0.000 0.124 0.200
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.1489 0.7151 0.000 0.952 0.004 0.044
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.5123 0.5878 0.000 0.044 0.724 0.232
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.6267 0.3357 0.648 0.000 0.112 0.240
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0188 0.5275 0.996 0.000 0.000 0.004
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.5329 0.2299 0.000 0.568 0.420 0.012
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.6068 0.3329 0.676 0.000 0.116 0.208
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.1302 0.5158 0.956 0.000 0.000 0.044
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.2376 0.6968 0.000 0.016 0.916 0.068
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.5329 0.2299 0.000 0.568 0.420 0.012
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.4220 0.4286 0.248 0.000 0.004 0.748
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.3707 0.6360 0.000 0.840 0.132 0.028
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.4059 0.4119 0.788 0.000 0.012 0.200
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 3 0.2714 0.7152 0.000 0.112 0.884 0.004
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 3 0.3198 0.7196 0.000 0.080 0.880 0.040
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.5998 0.3387 0.684 0.000 0.116 0.200
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.5088 0.5005 0.000 0.004 0.572 0.424
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 3 0.4158 0.6668 0.000 0.224 0.768 0.008
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 3 0.4576 0.6305 0.000 0.260 0.728 0.012
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.1661 0.7122 0.000 0.944 0.004 0.052
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.9407 0.1391 0.412 0.240 0.128 0.220
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.7006 0.3441 0.000 0.580 0.204 0.216
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.4010 0.6559 0.000 0.816 0.028 0.156
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 3 0.4137 0.6749 0.000 0.208 0.780 0.012
#> F1565477-7479-4777-BD07-C6480B421166 2 0.5543 0.3443 0.000 0.612 0.360 0.028
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 3 0.4690 0.6106 0.000 0.276 0.712 0.012
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#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0188 0.7285 0.000 0.996 0.000 0.004
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5535 0.5683 0.000 0.720 0.088 0.192
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6298 0.5138 0.000 0.632 0.100 0.268
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.6298 0.5138 0.000 0.632 0.100 0.268
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.7135 0.3789 0.000 0.240 0.560 0.200
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.2271 0.7204 0.000 0.076 0.916 0.008
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.2742 0.2708 0.024 0.000 0.076 0.900
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0188 0.7285 0.000 0.996 0.000 0.004
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.6708 0.3980 0.376 0.096 0.000 0.528
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1489 0.7096 0.000 0.952 0.044 0.004
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.5090 0.5633 0.000 0.016 0.660 0.324
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5290 0.2692 0.000 0.584 0.404 0.012
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4662 0.6221 0.000 0.796 0.112 0.092
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5979 0.4709 0.000 0.692 0.172 0.136
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0524 0.7262 0.000 0.988 0.008 0.004
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0188 0.7283 0.000 0.996 0.004 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4999 0.4298 0.492 0.000 0.000 0.508
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6794 0.4703 0.000 0.328 0.556 0.116
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.5155 -0.3370 0.528 0.000 0.004 0.468
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5310 0.2602 0.000 0.576 0.412 0.012
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4985 0.6875 0.000 0.080 0.768 0.152
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.5158 -0.3467 0.524 0.000 0.004 0.472
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.5278 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.4420 0.6511 0.000 0.240 0.748 0.012
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.4992 -0.3562 0.524 0.000 0.000 0.476
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3013 0.7202 0.000 0.080 0.888 0.032
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.7402 0.3955 0.000 0.308 0.500 0.192
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.7252 0.2329 0.000 0.420 0.436 0.144
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0336 0.7273 0.000 0.992 0.008 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.7291 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4175 0.6727 0.000 0.212 0.776 0.012
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3919 0.7188 0.000 0.104 0.840 0.056
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4920 0.6754 0.000 0.068 0.768 0.164
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.6221 0.5224 0.000 0.644 0.100 0.256
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.3534 0.815502 0.744 0.000 0.000 0.256 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3116 0.774653 0.076 0.000 0.000 0.860 0.064
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.6788 0.628357 0.000 0.320 0.296 0.000 0.384
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6966 0.348377 0.044 0.448 0.008 0.092 0.408
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.1538 0.571769 0.036 0.008 0.948 0.000 0.008
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0703 0.799034 0.024 0.000 0.000 0.976 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.6718 0.488114 0.000 0.248 0.368 0.000 0.384
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.4420 0.791485 0.692 0.000 0.000 0.280 0.028
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4465 0.610069 0.212 0.000 0.000 0.732 0.056
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5307 0.427824 0.676 0.000 0.168 0.000 0.156
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 5 0.6540 -0.329090 0.112 0.008 0.012 0.372 0.496
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.4756 0.545306 0.152 0.020 0.756 0.000 0.072
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3389 0.752489 0.116 0.000 0.000 0.836 0.048
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3527 0.463358 0.000 0.056 0.828 0.000 0.116
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0609 0.785216 0.000 0.980 0.000 0.000 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0955 0.802485 0.004 0.000 0.000 0.968 0.028
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0510 0.789490 0.000 0.984 0.000 0.000 0.016
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.6277 0.162058 0.052 0.272 0.076 0.000 0.600
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.5960 -0.054736 0.000 0.116 0.516 0.000 0.368
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3463 0.563599 0.124 0.008 0.836 0.000 0.032
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0162 0.795245 0.000 0.996 0.000 0.000 0.004
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0162 0.793929 0.000 0.996 0.000 0.000 0.004
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.3916 0.814158 0.732 0.000 0.000 0.256 0.012
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.5364 0.110172 0.000 0.064 0.572 0.000 0.364
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.1670 0.545666 0.000 0.012 0.936 0.000 0.052
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0510 0.787987 0.000 0.984 0.000 0.000 0.016
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3394 0.567121 0.116 0.012 0.844 0.000 0.028
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.8312 0.167570 0.228 0.388 0.200 0.000 0.184
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.6796 0.630505 0.000 0.336 0.292 0.000 0.372
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3115 0.569980 0.108 0.012 0.860 0.000 0.020
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.3432 0.675735 0.040 0.000 0.000 0.828 0.132
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1026 0.791099 0.004 0.968 0.004 0.000 0.024
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0898 0.791940 0.000 0.972 0.008 0.000 0.020
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.6766 0.376888 0.052 0.488 0.024 0.040 0.396
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2871 0.777746 0.088 0.000 0.000 0.872 0.040
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.6756 0.649733 0.000 0.344 0.268 0.000 0.388
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.4589 0.347872 0.000 0.064 0.724 0.000 0.212
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.4887 0.754330 0.728 0.000 0.008 0.180 0.084
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4997 0.532311 0.156 0.024 0.740 0.000 0.080
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0609 0.785216 0.000 0.980 0.000 0.000 0.020
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.1893 0.541669 0.000 0.024 0.928 0.000 0.048
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3098 0.629349 0.000 0.836 0.148 0.000 0.016
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1043 0.789895 0.000 0.960 0.000 0.000 0.040
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3696 0.729587 0.028 0.840 0.040 0.000 0.092
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 5 0.6121 -0.350129 0.456 0.000 0.060 0.028 0.456
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6316 0.401759 0.052 0.512 0.028 0.012 0.396
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4893 0.416156 0.044 0.008 0.684 0.000 0.264
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.5537 0.041931 0.052 0.020 0.308 0.000 0.620
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.2026 0.770385 0.012 0.924 0.008 0.000 0.056
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.3184 0.765989 0.100 0.000 0.000 0.852 0.048
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.5142 0.457965 0.052 0.000 0.000 0.600 0.348
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0451 0.802473 0.004 0.000 0.000 0.988 0.008
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.794718 0.000 1.000 0.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0451 0.802473 0.004 0.000 0.000 0.988 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.6592 0.441042 0.108 0.204 0.612 0.000 0.076
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2681 0.758404 0.004 0.876 0.012 0.000 0.108
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.3216 0.771319 0.044 0.000 0.000 0.848 0.108
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0510 0.801192 0.016 0.000 0.000 0.984 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0404 0.801062 0.000 0.000 0.000 0.988 0.012
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.6309 -0.192913 0.000 0.160 0.472 0.000 0.368
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2172 0.796098 0.016 0.000 0.000 0.908 0.076
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3409 0.753644 0.112 0.000 0.000 0.836 0.052
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.2470 0.513503 0.000 0.012 0.884 0.000 0.104
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.6756 0.649733 0.000 0.344 0.268 0.000 0.388
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3527 0.747974 0.116 0.000 0.000 0.828 0.056
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.5946 0.419735 0.052 0.532 0.020 0.004 0.392
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0451 0.802473 0.004 0.000 0.000 0.988 0.008
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0609 0.793771 0.000 0.980 0.000 0.000 0.020
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.3459 0.751623 0.116 0.000 0.000 0.832 0.052
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.3636 0.815935 0.728 0.000 0.000 0.272 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.6358 0.474805 0.144 0.132 0.648 0.000 0.076
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.6770 0.455533 0.156 0.160 0.604 0.000 0.080
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.5071 0.368062 0.004 0.340 0.000 0.616 0.040
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.6648 0.465504 0.168 0.120 0.620 0.000 0.092
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.4063 0.805644 0.708 0.000 0.000 0.280 0.012
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.2418 0.569368 0.044 0.024 0.912 0.000 0.020
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0703 0.790496 0.000 0.976 0.000 0.000 0.024
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.4292 0.635013 0.788 0.000 0.020 0.048 0.144
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.4400 0.612312 0.212 0.000 0.000 0.736 0.052
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0290 0.794022 0.000 0.992 0.000 0.000 0.008
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.3661 0.815261 0.724 0.000 0.000 0.276 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.4780 0.772351 0.672 0.000 0.000 0.280 0.048
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.6742 0.644756 0.000 0.352 0.260 0.000 0.388
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0703 0.802347 0.000 0.000 0.000 0.976 0.024
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.6756 0.649733 0.000 0.344 0.268 0.000 0.388
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.6377 0.373554 0.052 0.044 0.004 0.500 0.400
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.1668 0.548514 0.000 0.032 0.940 0.000 0.028
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.2484 0.743789 0.004 0.028 0.000 0.900 0.068
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.1443 0.787460 0.004 0.948 0.004 0.000 0.044
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0703 0.790496 0.000 0.976 0.000 0.000 0.024
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0404 0.790578 0.000 0.988 0.000 0.000 0.012
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.3916 0.814158 0.732 0.000 0.000 0.256 0.012
#> FB60555C-BAAB-4561-99A4-5C77101253A9 3 0.5364 0.110172 0.000 0.064 0.572 0.000 0.364
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.6756 0.644286 0.000 0.344 0.268 0.000 0.388
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0162 0.795111 0.000 0.996 0.000 0.000 0.004
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.3916 0.814158 0.732 0.000 0.000 0.256 0.012
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0510 0.787987 0.000 0.984 0.000 0.000 0.016
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 3 0.5107 0.225057 0.000 0.064 0.640 0.000 0.296
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4498 0.535186 0.108 0.008 0.772 0.000 0.112
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.4401 0.734916 0.104 0.000 0.000 0.764 0.132
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.5770 0.548262 0.692 0.000 0.100 0.052 0.156
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.1717 0.783658 0.000 0.936 0.008 0.004 0.052
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.5418 -0.065405 0.040 0.008 0.444 0.000 0.508
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.6297 0.548095 0.652 0.000 0.072 0.124 0.152
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.3636 0.815935 0.728 0.000 0.000 0.272 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.6775 0.644472 0.000 0.336 0.280 0.000 0.384
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.4267 0.637977 0.788 0.000 0.016 0.052 0.144
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#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4894 0.588138 0.012 0.652 0.012 0.008 0.316
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.6756 0.649733 0.000 0.344 0.268 0.000 0.388
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.6914 0.442914 0.164 0.152 0.592 0.000 0.092
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 5 0.6703 -0.173821 0.312 0.000 0.264 0.000 0.424
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0404 0.790578 0.000 0.988 0.000 0.000 0.012
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.6562 0.468815 0.148 0.144 0.628 0.000 0.080
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.3608 0.675640 0.000 0.812 0.000 0.148 0.040
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.6282 0.387553 0.052 0.032 0.008 0.516 0.392
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5044 0.449960 0.036 0.016 0.668 0.000 0.280
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5343 0.479922 0.040 0.592 0.012 0.000 0.356
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4232 0.557101 0.152 0.020 0.788 0.000 0.040
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.6783 0.637279 0.000 0.328 0.288 0.000 0.384
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.3809 0.378615 0.000 0.008 0.736 0.000 0.256
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1282 0.788204 0.000 0.952 0.004 0.000 0.044
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.5647 0.606333 0.640 0.000 0.008 0.108 0.244
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4629 0.621098 0.772 0.000 0.040 0.044 0.144
#> 8F770678-E467-4FB7-8C48-9BBE52490145 3 0.6428 -0.234989 0.000 0.180 0.456 0.000 0.364
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4443 0.553189 0.152 0.020 0.776 0.000 0.052
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0703 0.791355 0.000 0.976 0.000 0.000 0.024
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3291 0.766924 0.088 0.000 0.000 0.848 0.064
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0290 0.801923 0.000 0.000 0.000 0.992 0.008
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.3255 0.765542 0.100 0.000 0.000 0.848 0.052
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5159 0.470574 0.704 0.004 0.136 0.000 0.156
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.5364 0.110172 0.000 0.064 0.572 0.000 0.364
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0290 0.792454 0.000 0.992 0.000 0.000 0.008
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0162 0.794850 0.000 0.996 0.000 0.000 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.5114 0.469231 0.052 0.000 0.000 0.608 0.340
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.1648 0.547582 0.000 0.020 0.940 0.000 0.040
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.5233 0.000423 0.052 0.008 0.304 0.000 0.636
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3339 0.755886 0.112 0.000 0.000 0.840 0.048
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0290 0.795082 0.000 0.992 0.000 0.000 0.008
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.6633 0.466810 0.152 0.148 0.620 0.000 0.080
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.5364 0.110172 0.000 0.064 0.572 0.000 0.364
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0162 0.793929 0.000 0.996 0.000 0.000 0.004
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1484 0.786035 0.000 0.944 0.008 0.000 0.048
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0290 0.801923 0.000 0.000 0.000 0.992 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 5 0.6998 -0.058605 0.052 0.128 0.316 0.000 0.504
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.5020 0.760755 0.712 0.000 0.008 0.196 0.084
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.4233 0.718669 0.792 0.000 0.008 0.116 0.084
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.4317 0.400420 0.000 0.076 0.764 0.000 0.160
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5324 0.550921 0.028 0.700 0.204 0.000 0.068
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0451 0.802473 0.004 0.000 0.000 0.988 0.008
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0404 0.790578 0.000 0.988 0.000 0.000 0.012
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5226 0.581258 0.012 0.652 0.008 0.032 0.296
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.3957 0.808641 0.712 0.000 0.000 0.280 0.008
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6069 0.408399 0.052 0.532 0.036 0.000 0.380
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.6009 0.412248 0.052 0.532 0.032 0.000 0.384
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0510 0.802437 0.000 0.000 0.000 0.984 0.016
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.7302 0.406030 0.204 0.088 0.536 0.000 0.172
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.1364 0.552734 0.000 0.012 0.952 0.000 0.036
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 5 0.6593 -0.376922 0.124 0.000 0.020 0.396 0.460
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0404 0.790578 0.000 0.988 0.000 0.000 0.012
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0290 0.801923 0.000 0.000 0.000 0.992 0.008
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.2237 0.757766 0.004 0.040 0.000 0.916 0.040
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0703 0.781983 0.000 0.976 0.000 0.000 0.024
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.5431 0.318755 0.052 0.008 0.584 0.000 0.356
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.6756 0.649733 0.000 0.344 0.268 0.000 0.388
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4683 0.701322 0.028 0.788 0.040 0.020 0.124
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.6843 0.439433 0.144 0.596 0.176 0.000 0.084
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0404 0.790578 0.000 0.988 0.000 0.000 0.012
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0290 0.792454 0.000 0.992 0.000 0.000 0.008
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0566 0.801645 0.004 0.000 0.000 0.984 0.012
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6585 0.463460 0.124 0.180 0.620 0.000 0.076
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3339 0.755886 0.112 0.000 0.000 0.840 0.048
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.6779 0.640197 0.000 0.324 0.288 0.000 0.388
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4469 0.553195 0.148 0.020 0.776 0.000 0.056
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3390 0.759612 0.100 0.000 0.000 0.840 0.060
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.3684 0.814326 0.720 0.000 0.000 0.280 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.5569 0.066220 0.000 0.080 0.556 0.000 0.364
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0510 0.801192 0.016 0.000 0.000 0.984 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.1885 0.571844 0.044 0.020 0.932 0.000 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.7442 0.403537 0.204 0.116 0.528 0.000 0.152
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0162 0.793929 0.000 0.996 0.000 0.000 0.004
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.7298 0.353647 0.144 0.252 0.520 0.000 0.084
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0290 0.792454 0.000 0.992 0.000 0.000 0.008
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0162 0.794850 0.000 0.996 0.000 0.000 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5143 0.132762 0.000 0.048 0.584 0.000 0.368
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3347 0.573306 0.056 0.024 0.864 0.000 0.056
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4622 0.540471 0.152 0.012 0.760 0.000 0.076
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5617 0.475468 0.044 0.592 0.024 0.000 0.340
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1910 0.79048 0.892 0.000 0.000 0.108 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.5238 0.77091 0.096 0.000 0.016 0.716 0.052 0.120
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2003 0.79108 0.884 0.000 0.000 0.116 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2053 0.82171 0.000 0.108 0.004 0.000 0.888 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.5909 0.38224 0.004 0.368 0.016 0.084 0.012 0.516
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.2482 0.81893 0.000 0.004 0.848 0.000 0.148 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0790 0.80572 0.032 0.000 0.000 0.968 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2088 0.81957 0.000 0.068 0.028 0.000 0.904 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2450 0.78066 0.868 0.000 0.000 0.116 0.000 0.016
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.6266 0.48471 0.324 0.000 0.016 0.516 0.028 0.116
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6481 0.32861 0.432 0.000 0.220 0.004 0.020 0.324
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.3823 0.45030 0.008 0.008 0.004 0.236 0.004 0.740
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2670 0.76420 0.004 0.004 0.880 0.000 0.048 0.064
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4843 0.71363 0.200 0.000 0.004 0.700 0.020 0.076
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3672 0.67414 0.000 0.008 0.688 0.000 0.304 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1317 0.87596 0.004 0.956 0.016 0.000 0.008 0.016
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.2445 0.80577 0.000 0.000 0.020 0.896 0.028 0.056
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1381 0.87384 0.004 0.952 0.004 0.000 0.020 0.020
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.6017 0.33848 0.000 0.156 0.020 0.000 0.320 0.504
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.2060 0.79142 0.000 0.016 0.084 0.000 0.900 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2146 0.81810 0.000 0.004 0.880 0.000 0.116 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0951 0.87854 0.000 0.968 0.004 0.000 0.008 0.020
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0820 0.87720 0.000 0.972 0.000 0.000 0.012 0.016
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2358 0.78854 0.876 0.000 0.000 0.108 0.000 0.016
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.2212 0.77461 0.000 0.008 0.112 0.000 0.880 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.3240 0.75397 0.000 0.004 0.752 0.000 0.244 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1198 0.87701 0.004 0.960 0.004 0.000 0.012 0.020
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2234 0.81906 0.000 0.004 0.872 0.000 0.124 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.7758 0.12450 0.108 0.308 0.244 0.000 0.020 0.320
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.2491 0.81489 0.000 0.164 0.000 0.000 0.836 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2234 0.81906 0.000 0.004 0.872 0.000 0.124 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1908 0.71618 0.004 0.000 0.000 0.900 0.000 0.096
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0767 0.87757 0.004 0.976 0.008 0.000 0.000 0.012
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0982 0.87738 0.004 0.968 0.004 0.000 0.004 0.020
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.5516 0.39348 0.000 0.384 0.012 0.052 0.020 0.532
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.4128 0.76463 0.148 0.000 0.000 0.768 0.020 0.064
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.2378 0.81504 0.000 0.152 0.000 0.000 0.848 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.4051 0.06980 0.000 0.008 0.432 0.000 0.560 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.4167 0.60112 0.708 0.000 0.004 0.012 0.020 0.256
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2518 0.74593 0.004 0.016 0.892 0.000 0.020 0.068
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1198 0.87701 0.004 0.960 0.004 0.000 0.012 0.020
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.2933 0.79935 0.000 0.004 0.796 0.000 0.200 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1929 0.85895 0.004 0.924 0.048 0.000 0.008 0.016
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1080 0.87487 0.004 0.960 0.000 0.000 0.032 0.004
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.2003 0.79108 0.884 0.000 0.000 0.116 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3489 0.78003 0.004 0.828 0.096 0.000 0.012 0.060
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.4372 0.20681 0.208 0.000 0.044 0.004 0.016 0.728
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.4774 0.32811 0.000 0.428 0.012 0.008 0.016 0.536
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.2003 0.79108 0.884 0.000 0.000 0.116 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.5801 0.51571 0.000 0.008 0.544 0.000 0.236 0.212
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.5449 -0.02197 0.000 0.008 0.092 0.000 0.464 0.436
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.2465 0.84197 0.004 0.896 0.052 0.000 0.008 0.040
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.3908 0.78217 0.120 0.000 0.000 0.792 0.020 0.068
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.3998 -0.19668 0.000 0.000 0.000 0.504 0.004 0.492
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0260 0.80516 0.008 0.000 0.000 0.992 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0820 0.87720 0.000 0.972 0.000 0.000 0.012 0.016
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0260 0.80516 0.008 0.000 0.000 0.992 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.2587 0.70609 0.004 0.108 0.868 0.000 0.000 0.020
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3316 0.79979 0.004 0.844 0.040 0.004 0.012 0.096
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.4380 0.79343 0.012 0.000 0.024 0.764 0.052 0.148
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#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1198 0.87701 0.004 0.960 0.004 0.000 0.012 0.020
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4900 0.33002 0.000 0.280 0.640 0.000 0.012 0.068
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1078 0.87767 0.000 0.964 0.016 0.000 0.008 0.012
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1003 0.87619 0.004 0.964 0.000 0.000 0.028 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3110 0.69175 0.000 0.012 0.196 0.000 0.792 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.2504 0.82148 0.000 0.004 0.856 0.000 0.136 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.2263 0.78585 0.004 0.000 0.900 0.000 0.060 0.036
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4421 -0.06610 0.000 0.552 0.020 0.000 0.004 0.424
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["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 17420 rows and 500 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 1.000 0.989 0.995 0.4815 0.518 0.518
#> 3 3 0.729 0.832 0.902 0.3775 0.778 0.588
#> 4 4 0.740 0.684 0.843 0.1111 0.910 0.741
#> 5 5 0.794 0.712 0.822 0.0755 0.859 0.539
#> 6 6 0.829 0.746 0.865 0.0452 0.919 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.992 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.992 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.992 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.998 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.992 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.998 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.992 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.998 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.992 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.992 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.992 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.992 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.998 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.992 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.998 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.998 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.992 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.998 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.998 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.998 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.998 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.998 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.998 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.992 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.998 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.998 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.998 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.998 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.6531 0.803 0.832 0.168
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.998 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.998 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.992 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.998 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.998 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4815 0.882 0.104 0.896
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.992 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.998 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.998 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.992 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.998 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.998 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.998 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.998 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.998 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.992 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.998 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.992 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.998 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.992 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.998 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.998 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.6247 0.819 0.844 0.156
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.992 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.992 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.992 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.998 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.992 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.998 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.998 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.992 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.992 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.992 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.998 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.992 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.992 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.998 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.998 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.992 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.992 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.998 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.992 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.998 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.992 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.992 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.998 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.998 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.992 1.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.998 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.992 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.998 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.998 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.992 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.992 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.998 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.992 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.992 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.992 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.998 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.992 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.998 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.0000 0.992 1.000 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.998 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.992 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.998 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.998 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0000 0.998 0.000 1.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.992 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.998 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.998 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.998 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.992 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.998 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.998 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.998 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.992 1.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.992 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.998 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.998 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.992 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.992 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.998 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.992 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.992 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.998 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.998 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.992 1.000 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.0000 0.992 1.000 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0000 0.992 1.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.998 0.000 1.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.998 0.000 1.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0000 0.992 1.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.8081 0.667 0.248 0.752
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.998 0.000 1.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.998 0.000 1.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.998 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.998 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0000 0.992 1.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.992 1.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.3431 0.930 0.064 0.936
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.0000 0.998 0.000 1.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.998 0.000 1.000
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#> F73A3291-85AB-4017-8BDE-0739DF67D6F4 1 0.0000 0.992 1.000 0.000
#> C5653356-7F4F-4849-BAE2-AAB978A35D76 1 0.0000 0.992 1.000 0.000
#> 4B3D0D9D-CF94-44AC-8B27-44054DE1FE39 2 0.0000 0.998 0.000 1.000
#> 8D690C1D-EEDE-4A73-AB61-7B64CBD7A171 2 0.0000 0.998 0.000 1.000
#> 78834D3F-6C8F-4720-B217-71B31214554C 2 0.0000 0.998 0.000 1.000
#> CAC75F32-D642-4194-83F1-F1BF1C35C664 1 0.0000 0.992 1.000 0.000
#> CC469E60-F95D-4F06-A2A1-A8B8CDC5976E 2 0.0000 0.998 0.000 1.000
#> 706352A4-E94E-44C6-8255-4C0E3610F942 1 0.0000 0.992 1.000 0.000
#> 494C71D8-9E1B-4CBC-A99D-0FB4C2A2BAF1 2 0.0000 0.998 0.000 1.000
#> DA1FC719-E707-4D43-AF83-4354843173C9 1 0.0000 0.992 1.000 0.000
#> FCC67B68-B20A-47F8-AF13-33F0FF9EA45B 1 0.0000 0.992 1.000 0.000
#> 5E825B8D-F90B-448D-8472-90B5258D6553 2 0.0000 0.998 0.000 1.000
#> 476E8F79-2F9B-4EF8-9A91-3DF184AB71BA 2 0.0000 0.998 0.000 1.000
#> DB90FB7F-C1D7-44AF-9A6B-400EE8541109 1 0.0000 0.992 1.000 0.000
#> F8E79C86-05B7-476C-9361-23C9C8FEB80C 2 0.0000 0.998 0.000 1.000
#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.0000 0.998 0.000 1.000
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.0000 0.998 0.000 1.000
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.0000 0.998 0.000 1.000
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.0000 0.998 0.000 1.000
#> C0133A01-0F93-4306-954E-A725AE8B56C3 1 0.6531 0.803 0.832 0.168
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.0000 0.998 0.000 1.000
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.0000 0.998 0.000 1.000
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.0000 0.992 1.000 0.000
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.0000 0.998 0.000 1.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0000 0.998 0.000 1.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0000 0.998 0.000 1.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.0000 0.998 0.000 1.000
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.0000 0.998 0.000 1.000
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.992 1.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.0000 0.998 0.000 1.000
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0000 0.992 1.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0000 0.992 1.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.998 0.000 1.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0000 0.998 0.000 1.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.0000 0.998 0.000 1.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0000 0.992 1.000 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.998 0.000 1.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0000 0.998 0.000 1.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.998 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 1 0.5519 0.855 0.872 0.128
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.992 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.998 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.998 0.000 1.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.998 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.998 0.000 1.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.992 1.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.992 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.992 1.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.998 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.998 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.992 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.998 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.992 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.998 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0000 0.992 1.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0000 0.998 0.000 1.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.998 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.992 1.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.998 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.998 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.998 0.000 1.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.0000 0.992 1.000 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.998 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.992 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.998 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.998 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.998 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.992 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.998 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.992 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.998 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.998 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.998 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.998 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.998 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.998 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.992 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.998 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.998 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.998 0.000 1.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.998 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.992 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.998 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.998 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.992 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.998 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.992 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.998 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.998 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.998 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.0000 0.992 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.998 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.998 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.992 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.992 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.998 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.998 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.998 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.998 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.998 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.998 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.992 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.992 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.992 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.998 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.998 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.998 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.992 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.992 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.992 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.992 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.998 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.998 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.998 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.992 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.992 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.998 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.998 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.992 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.998 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.998 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.992 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.998 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.998 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.998 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.992 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.992 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.2236 0.957 0.964 0.036
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.992 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.992 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.992 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.998 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.998 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.992 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.998 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0000 0.992 1.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.992 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.998 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.998 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.992 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.998 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.998 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.0000 0.992 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.998 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.992 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.992 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.998 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.998 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.998 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0000 0.992 1.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.998 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.998 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.998 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.992 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.998 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.992 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.998 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.998 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.992 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.992 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.998 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.992 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.998 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.998 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.998 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.998 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.998 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.998 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.998 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.998 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.998 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.998 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.97629 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.97629 1.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.97629 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5591 0.82965 0.000 0.696 0.304
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.8437 0.66304 0.180 0.200 0.620
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.72358 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.97629 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.5529 0.83403 0.000 0.704 0.296
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.97629 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.97629 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.1411 0.94260 0.964 0.036 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.4504 0.78507 0.804 0.196 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.4504 0.85701 0.000 0.804 0.196
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.97629 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.4796 0.86187 0.000 0.780 0.220
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 3 0.1411 0.78966 0.000 0.036 0.964
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#> 303ED788-B6CF-49EF-A607-505A7001E367 3 0.0000 0.80036 0.000 0.000 1.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.5591 0.76106 0.000 0.304 0.696
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.5591 0.82965 0.000 0.696 0.304
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.6154 0.67812 0.000 0.408 0.592
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.97629 1.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 3 0.0000 0.80036 0.000 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.4842 0.86222 0.000 0.776 0.224
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.72358 0.000 1.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.4842 0.86222 0.000 0.776 0.224
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.97629 1.000 0.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.97629 1.000 0.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.97629 1.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.4842 0.86222 0.000 0.776 0.224
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 3 0.4504 0.78882 0.000 0.196 0.804
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.97629 1.000 0.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.5465 0.83814 0.000 0.712 0.288
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.97629 1.000 0.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 3 0.4842 0.78400 0.000 0.224 0.776
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.4605 0.77575 0.796 0.204 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.6154 -0.30949 0.000 0.592 0.408
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 3 0.5327 0.27045 0.000 0.272 0.728
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.97629 1.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 3 0.0000 0.80036 0.000 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 3 0.0000 0.80036 0.000 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.72358 0.000 1.000 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.4605 0.77575 0.796 0.204 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.5591 0.82965 0.000 0.696 0.304
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.97629 1.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.4842 0.86222 0.000 0.776 0.224
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.4842 0.86222 0.000 0.776 0.224
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.2066 0.70874 0.000 0.940 0.060
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.97629 1.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 3 0.0000 0.80036 0.000 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.97629 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.4887 0.86149 0.000 0.772 0.228
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4842 0.86222 0.000 0.776 0.224
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.5591 0.82965 0.000 0.696 0.304
#> 9BEDADE9-887F-4245-B827-26638F810303 3 0.0000 0.80036 0.000 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.5591 0.82965 0.000 0.696 0.304
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 3 0.0000 0.80036 0.000 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.97629 1.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.5591 0.82965 0.000 0.696 0.304
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.5098 0.85578 0.000 0.752 0.248
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 3 0.4654 0.78698 0.000 0.208 0.792
#> C978676F-8698-4A0E-9983-F3F8C3224F55 3 0.3941 0.58534 0.000 0.156 0.844
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.97629 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.4842 0.86222 0.000 0.776 0.224
#> B3E9A4C3-E877-4505-8695-960738A127FD 3 0.0000 0.80036 0.000 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.97629 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.4887 0.78367 0.000 0.228 0.772
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.97629 1.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.5591 0.76106 0.000 0.304 0.696
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.5591 0.82965 0.000 0.696 0.304
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.4796 0.78515 0.000 0.220 0.780
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.4842 0.75079 0.776 0.224 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 3 0.0000 0.80036 0.000 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.3192 0.76817 0.000 0.112 0.888
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.4842 0.68611 0.776 0.000 0.224
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.4750 0.76098 0.784 0.216 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.6062 -0.23373 0.000 0.616 0.384
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.4842 0.78400 0.000 0.224 0.776
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.4504 0.85701 0.000 0.804 0.196
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.5591 0.82965 0.000 0.696 0.304
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.72358 0.000 1.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 3 0.4504 0.78882 0.000 0.196 0.804
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.97629 1.000 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.97629 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.97629 1.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.4842 0.86222 0.000 0.776 0.224
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.4504 0.85701 0.000 0.804 0.196
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 3 0.0592 0.80243 0.000 0.012 0.988
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.97629 1.000 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.97629 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.97629 1.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0592 0.96574 0.988 0.012 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.4842 0.86222 0.000 0.776 0.224
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 3 0.0000 0.80036 0.000 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 3 0.0000 0.80036 0.000 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.2711 0.89865 0.912 0.088 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.97629 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.4654 0.86008 0.000 0.792 0.208
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.72358 0.000 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.97629 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 3 0.0000 0.80036 0.000 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4750 0.63835 0.000 0.216 0.784
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.97629 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.4842 0.86222 0.000 0.776 0.224
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 3 0.0000 0.80036 0.000 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.4796 0.78494 0.000 0.220 0.780
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.97629 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.97629 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6192 0.03570 0.420 0.580 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.97629 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.97629 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.97629 1.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4842 0.86222 0.000 0.776 0.224
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.4796 0.78515 0.000 0.220 0.780
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.97629 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 3 0.0000 0.80036 0.000 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6811 0.75534 0.064 0.220 0.716
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.97629 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.4842 0.78400 0.000 0.224 0.776
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.4842 0.78400 0.000 0.224 0.776
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.97629 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.6154 0.67812 0.000 0.408 0.592
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.4504 0.85701 0.000 0.804 0.196
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.4702 0.76604 0.788 0.212 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 3 0.0000 0.80036 0.000 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.97629 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.97629 1.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 3 0.4887 0.41363 0.000 0.228 0.772
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.72358 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5591 0.82965 0.000 0.696 0.304
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.7106 0.74544 0.076 0.224 0.700
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.3116 0.77090 0.000 0.108 0.892
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 3 0.0000 0.80036 0.000 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 3 0.0000 0.80036 0.000 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.97629 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6095 0.05750 0.000 0.392 0.608
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.97629 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5497 0.82954 0.000 0.708 0.292
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.4504 0.85701 0.000 0.804 0.196
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.97629 1.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.97629 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.4842 0.86222 0.000 0.776 0.224
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.97629 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4605 0.85932 0.000 0.796 0.204
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6111 0.68249 0.000 0.396 0.604
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 3 0.0000 0.80036 0.000 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.5591 0.76106 0.000 0.304 0.696
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.2261 0.77476 0.000 0.068 0.932
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 3 0.0000 0.80036 0.000 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4702 0.86179 0.000 0.788 0.212
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4842 0.86222 0.000 0.776 0.224
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.4504 0.85701 0.000 0.804 0.196
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.4842 0.78400 0.000 0.224 0.776
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.7108 0.3759 0.140 0.000 0.348 0.512
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4941 0.1865 0.000 0.436 0.564 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.5149 0.2186 0.336 0.016 0.648 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.5088 0.4908 0.572 0.000 0.424 0.004
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.2760 0.7192 0.000 0.872 0.128 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 4 0.1302 0.8211 0.000 0.044 0.000 0.956
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.0707 0.8354 0.000 0.020 0.000 0.980
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.6277 0.3017 0.000 0.572 0.360 0.068
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> C2F905E0-1D20-4582-8656-A2022521ED06 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2589 0.8697 0.884 0.000 0.116 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.8082 0.000 1.000 0.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.3172 0.6846 0.000 0.840 0.160 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 4 0.0469 0.8395 0.000 0.012 0.000 0.988
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.5000 -0.1432 0.000 0.504 0.496 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.5167 0.4296 0.000 0.016 0.644 0.340
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.4961 0.0302 0.000 0.552 0.448 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0895 0.8829 0.976 0.000 0.020 0.004
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#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.6961 0.2191 0.000 0.524 0.352 0.124
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 4 0.6042 0.0745 0.000 0.052 0.368 0.580
#> 71FB5F96-671E-43C2-973E-3839079F753B 3 0.6182 0.3580 0.000 0.052 0.520 0.428
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.4313 0.5621 0.260 0.000 0.004 0.736
#> 303ED788-B6CF-49EF-A607-505A7001E367 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.5517 0.1676 0.000 0.036 0.648 0.316
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0779 0.5522 0.000 0.016 0.980 0.004
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.2589 0.8697 0.884 0.000 0.116 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.4920 0.3417 0.000 0.628 0.368 0.004
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 4 0.3726 0.6811 0.000 0.000 0.212 0.788
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.4998 0.3147 0.512 0.000 0.488 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 4 0.4679 0.5401 0.000 0.000 0.352 0.648
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.4855 0.5106 0.644 0.000 0.352 0.004
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.3166 0.5596 0.000 0.116 0.868 0.016
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 4 0.4643 0.3745 0.000 0.344 0.000 0.656
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.5110 0.4989 0.636 0.000 0.352 0.012
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.8082 0.000 1.000 0.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.5742 0.3361 0.000 0.596 0.368 0.036
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0188 0.8093 0.000 0.996 0.000 0.004
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4364 0.6960 0.000 0.816 0.092 0.092
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> 9BEDADE9-887F-4245-B827-26638F810303 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.3074 0.8457 0.848 0.000 0.152 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0707 0.8114 0.000 0.980 0.000 0.020
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.0524 0.8413 0.000 0.004 0.008 0.988
#> C978676F-8698-4A0E-9983-F3F8C3224F55 4 0.3569 0.6362 0.000 0.196 0.000 0.804
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.1211 0.8880 0.960 0.000 0.040 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0927 0.8110 0.000 0.976 0.008 0.016
#> B3E9A4C3-E877-4505-8695-960738A127FD 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 4 0.4661 0.5444 0.000 0.000 0.348 0.652
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2589 0.8697 0.884 0.000 0.116 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.5921 -0.2032 0.000 0.036 0.516 0.448
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.2174 0.7915 0.020 0.928 0.000 0.052
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.6155 0.3905 0.000 0.052 0.536 0.412
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.2714 0.4589 0.112 0.000 0.884 0.004
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.6155 0.3917 0.000 0.052 0.536 0.412
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.4522 0.4471 0.320 0.000 0.000 0.680
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.4855 0.5106 0.644 0.000 0.352 0.004
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3105 0.5535 0.000 0.120 0.868 0.012
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.4661 0.5444 0.000 0.000 0.348 0.652
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.1109 0.7963 0.000 0.968 0.028 0.004
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 4 0.0592 0.8360 0.000 0.000 0.016 0.984
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.3356 0.8374 0.824 0.000 0.176 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4998 0.3147 0.512 0.000 0.488 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0592 0.8115 0.000 0.984 0.000 0.016
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.5911 0.2892 0.304 0.016 0.648 0.032
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.8082 0.000 1.000 0.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 397C8251-A0C6-40DC-AB16-86881797473B 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.4837 0.5171 0.648 0.000 0.348 0.004
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.3688 0.6186 0.000 0.792 0.208 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.4936 0.3378 0.000 0.624 0.372 0.004
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.6658 0.4511 0.000 0.092 0.532 0.376
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.8082 0.000 1.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.3975 0.6549 0.000 0.000 0.240 0.760
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.3429 0.5086 0.100 0.028 0.868 0.004
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.2589 0.8697 0.884 0.000 0.116 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.3649 0.7985 0.796 0.000 0.204 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.2814 0.7147 0.000 0.868 0.132 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 4 0.5213 0.4734 0.000 0.052 0.224 0.724
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.5189 0.5161 0.012 0.000 0.372 0.616
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.4679 0.5401 0.000 0.000 0.352 0.648
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.4679 0.5401 0.000 0.000 0.352 0.648
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3333 0.5711 0.000 0.088 0.872 0.040
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.3688 0.6205 0.000 0.792 0.208 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.5168 0.3443 0.504 0.000 0.492 0.004
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 4 0.1557 0.8052 0.000 0.056 0.000 0.944
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.4456 0.3686 0.000 0.280 0.716 0.004
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1474 0.8061 0.000 0.948 0.000 0.052
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.2032 0.8109 0.036 0.000 0.028 0.936
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.6176 0.3705 0.000 0.052 0.524 0.424
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6937 0.4835 0.000 0.124 0.532 0.344
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1767 0.8030 0.000 0.944 0.012 0.044
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4981 0.2456 0.000 0.464 0.536 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.2530 0.8716 0.888 0.000 0.112 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.8082 0.000 1.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4907 0.1236 0.000 0.580 0.420 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6586 0.4579 0.000 0.088 0.544 0.368
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.6148 0.3960 0.000 0.052 0.540 0.408
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 4 0.1398 0.8152 0.000 0.040 0.004 0.956
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 4 0.0188 0.8438 0.000 0.004 0.000 0.996
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0188 0.8072 0.000 0.996 0.000 0.004
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4985 0.2370 0.000 0.468 0.532 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4977 0.2513 0.000 0.460 0.540 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.4679 0.5401 0.000 0.000 0.352 0.648
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8053 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4242 0.7542 0.428 0.000 0.000 0.572 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0290 0.8051 0.992 0.000 0.000 0.008 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.9109 0.000 0.000 0.000 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.2930 0.4316 0.000 0.832 0.004 0.164 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3102 0.7958 0.000 0.056 0.860 0.000 0.084
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.4201 0.7646 0.408 0.000 0.000 0.592 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.9109 0.000 0.000 0.000 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0290 0.8051 0.992 0.000 0.000 0.008 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4242 0.7542 0.428 0.000 0.000 0.572 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4219 0.2544 0.584 0.000 0.416 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.6580 0.2121 0.176 0.408 0.004 0.412 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0162 0.8324 0.000 0.000 0.996 0.000 0.004
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4242 0.7542 0.428 0.000 0.000 0.572 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3966 0.5728 0.000 0.000 0.664 0.000 0.336
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4350 0.8623 0.000 0.588 0.000 0.408 0.004
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4201 0.7646 0.408 0.000 0.000 0.592 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.4974 0.8440 0.000 0.560 0.000 0.408 0.032
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#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4201 0.7646 0.408 0.000 0.000 0.592 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.0162 0.8315 0.000 0.004 0.996 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.4242 0.7542 0.428 0.000 0.000 0.572 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0000 0.9109 0.000 0.000 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0162 0.8324 0.000 0.000 0.996 0.000 0.004
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4242 0.7542 0.428 0.000 0.000 0.572 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0290 0.8051 0.992 0.000 0.000 0.008 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0609 0.8992 0.000 0.000 0.020 0.000 0.980
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.4201 0.7646 0.408 0.000 0.000 0.592 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2690 0.7687 0.000 0.000 0.844 0.000 0.156
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0324 0.8303 0.004 0.004 0.992 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4201 0.8646 0.000 0.592 0.000 0.408 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0404 0.8288 0.000 0.012 0.988 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4350 0.8623 0.000 0.588 0.004 0.408 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.4201 0.8646 0.000 0.592 0.000 0.408 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.0510 0.9020 0.000 0.000 0.016 0.000 0.984
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.1732 0.8102 0.000 0.000 0.920 0.000 0.080
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0162 0.8324 0.000 0.000 0.996 0.000 0.004
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0162 0.6249 0.000 0.996 0.004 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.3955 0.4587 0.000 0.008 0.000 0.384 0.000 0.608
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0291 0.9211 0.004 0.000 0.000 0.992 0.000 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.2003 0.9006 0.116 0.000 0.000 0.884 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.2697 0.8086 0.812 0.000 0.000 0.000 0.000 0.188
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.4827 0.5397 0.112 0.000 0.000 0.236 0.000 0.652
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3409 0.6736 0.000 0.000 0.700 0.000 0.000 0.300
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0363 0.8121 0.000 0.000 0.988 0.000 0.012 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0363 0.8852 0.000 0.988 0.000 0.000 0.000 0.012
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.4563 0.4038 0.000 0.000 0.044 0.000 0.368 0.588
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0146 0.8052 0.000 0.000 0.004 0.000 0.996 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0146 0.8190 0.000 0.000 0.996 0.000 0.000 0.004
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.3531 0.6786 0.000 0.000 0.328 0.000 0.672 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.3907 0.5724 0.004 0.000 0.588 0.000 0.000 0.408
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1327 0.8435 0.000 0.936 0.000 0.000 0.000 0.064
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.4700 0.6219 0.000 0.128 0.000 0.160 0.008 0.704
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3810 0.5362 0.000 0.000 0.428 0.000 0.572 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3409 0.6736 0.000 0.000 0.700 0.000 0.000 0.300
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0909 0.8697 0.000 0.968 0.020 0.000 0.000 0.012
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3927 0.5158 0.000 0.644 0.012 0.000 0.000 0.344
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.3868 -0.1089 0.492 0.000 0.000 0.000 0.000 0.508
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.2762 0.5633 0.000 0.196 0.000 0.000 0.000 0.804
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4894 0.1024 0.000 0.000 0.556 0.000 0.068 0.376
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.4957 0.3415 0.000 0.000 0.072 0.000 0.384 0.544
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.4934 0.5079 0.108 0.628 0.000 0.000 0.000 0.264
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1765 0.9155 0.096 0.000 0.000 0.904 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.3838 0.3518 0.000 0.000 0.000 0.448 0.000 0.552
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3464 0.6658 0.000 0.000 0.688 0.000 0.000 0.312
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 6 0.2300 0.5498 0.000 0.144 0.000 0.000 0.000 0.856
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.1610 0.9185 0.084 0.000 0.000 0.916 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.1957 0.7868 0.000 0.000 0.112 0.000 0.888 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.1610 0.9185 0.084 0.000 0.000 0.916 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0363 0.8121 0.000 0.000 0.988 0.000 0.012 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 6 0.3747 0.4321 0.000 0.396 0.000 0.000 0.000 0.604
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1765 0.9155 0.096 0.000 0.000 0.904 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3446 0.6683 0.000 0.000 0.692 0.000 0.000 0.308
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.3446 0.6683 0.000 0.000 0.692 0.000 0.000 0.308
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.2178 0.7865 0.868 0.000 0.000 0.132 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.3076 0.7106 0.000 0.000 0.760 0.000 0.000 0.240
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0146 0.9329 0.996 0.000 0.000 0.004 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0146 0.8873 0.000 0.996 0.000 0.000 0.004 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.2003 0.9006 0.116 0.000 0.000 0.884 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0146 0.9329 0.996 0.000 0.000 0.004 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 6 0.3774 0.4265 0.000 0.000 0.000 0.408 0.000 0.592
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0937 0.8641 0.000 0.960 0.000 0.000 0.000 0.040
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0146 0.8873 0.000 0.996 0.000 0.000 0.004 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.3592 0.6633 0.000 0.000 0.344 0.000 0.656 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.2823 0.7535 0.000 0.000 0.204 0.000 0.796 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.3756 0.5885 0.000 0.000 0.400 0.000 0.600 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.1663 0.9177 0.088 0.000 0.000 0.912 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.2135 0.8697 0.872 0.000 0.000 0.000 0.000 0.128
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.1141 0.8547 0.000 0.948 0.000 0.000 0.000 0.052
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.4349 0.5443 0.000 0.000 0.084 0.000 0.708 0.208
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.1957 0.8819 0.888 0.000 0.000 0.000 0.000 0.112
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.0260 0.8053 0.000 0.000 0.008 0.000 0.992 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.1806 0.9173 0.088 0.000 0.000 0.908 0.000 0.004
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.4731 0.3602 0.048 0.524 0.000 0.000 0.000 0.428
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 3 0.0363 0.8121 0.000 0.000 0.988 0.000 0.012 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 66B28FC4-B101-4745-8495-49EB475F9750 6 0.3971 0.0725 0.004 0.000 0.448 0.000 0.000 0.548
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 3 0.0632 0.8030 0.000 0.000 0.976 0.000 0.024 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0146 0.8873 0.000 0.996 0.000 0.000 0.004 0.000
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#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.3515 0.6576 0.000 0.000 0.676 0.000 0.000 0.324
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 6 0.3453 0.5036 0.164 0.000 0.044 0.000 0.000 0.792
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.3446 0.6683 0.000 0.000 0.692 0.000 0.000 0.308
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.3986 0.1795 0.000 0.532 0.000 0.464 0.000 0.004
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.3774 0.4265 0.000 0.000 0.000 0.408 0.000 0.592
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.1141 0.8060 0.000 0.000 0.948 0.000 0.000 0.052
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 6 0.3756 0.4276 0.000 0.400 0.000 0.000 0.000 0.600
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0790 0.8128 0.000 0.000 0.968 0.000 0.000 0.032
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.4855 -0.1082 0.000 0.000 0.556 0.000 0.380 0.064
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0146 0.8869 0.000 0.996 0.000 0.000 0.000 0.004
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.1663 0.8975 0.912 0.000 0.000 0.000 0.000 0.088
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.1765 0.8923 0.904 0.000 0.000 0.000 0.000 0.096
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.3371 0.7102 0.000 0.000 0.292 0.000 0.708 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.1267 0.8030 0.000 0.000 0.940 0.000 0.000 0.060
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0146 0.8873 0.000 0.996 0.000 0.000 0.004 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.2048 0.8732 0.880 0.000 0.000 0.000 0.000 0.120
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.3446 0.6978 0.000 0.000 0.308 0.000 0.692 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.3515 0.3512 0.000 0.000 0.000 0.676 0.000 0.324
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.5333 0.4100 0.000 0.000 0.300 0.000 0.136 0.564
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.3464 0.6658 0.000 0.000 0.688 0.000 0.000 0.312
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3672 0.6357 0.000 0.000 0.368 0.000 0.632 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3717 0.1829 0.000 0.616 0.000 0.000 0.000 0.384
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.5540 0.4432 0.140 0.000 0.284 0.008 0.000 0.568
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.1663 0.8964 0.912 0.000 0.000 0.000 0.000 0.088
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.0291 0.8165 0.000 0.000 0.992 0.000 0.004 0.004
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5122 0.4166 0.000 0.576 0.104 0.000 0.000 0.320
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.3167 0.6162 0.000 0.072 0.000 0.096 0.000 0.832
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.3890 0.4250 0.000 0.400 0.004 0.000 0.000 0.596
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.3907 0.4203 0.000 0.408 0.004 0.000 0.000 0.588
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3747 0.5887 0.000 0.000 0.604 0.000 0.000 0.396
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.4972 0.4985 0.116 0.000 0.000 0.256 0.000 0.628
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.3823 0.2635 0.000 0.000 0.436 0.000 0.000 0.564
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 6 0.5114 -0.1955 0.000 0.452 0.000 0.080 0.000 0.468
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.5939 0.3404 0.000 0.240 0.452 0.000 0.000 0.308
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.1714 0.7887 0.000 0.000 0.908 0.000 0.000 0.092
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1814 0.9141 0.100 0.000 0.000 0.900 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0000 0.8053 0.000 0.000 0.000 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0632 0.8150 0.000 0.000 0.976 0.000 0.000 0.024
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1910 0.9077 0.108 0.000 0.000 0.892 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9354 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.3695 0.6250 0.000 0.000 0.376 0.000 0.624 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0146 0.9209 0.000 0.000 0.000 0.996 0.000 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0000 0.8192 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3747 0.5887 0.000 0.000 0.604 0.000 0.000 0.396
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0146 0.8884 0.000 0.996 0.000 0.000 0.000 0.004
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4532 0.6093 0.000 0.056 0.636 0.000 0.000 0.308
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0146 0.8876 0.000 0.996 0.000 0.000 0.000 0.004
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.8884 0.000 1.000 0.000 0.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3684 0.6307 0.000 0.000 0.372 0.000 0.628 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0146 0.8190 0.000 0.000 0.996 0.000 0.000 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1327 0.8015 0.000 0.000 0.936 0.000 0.000 0.064
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.3765 0.4193 0.000 0.404 0.000 0.000 0.000 0.596
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["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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.982 0.993 0.4737 0.525 0.525
#> 3 3 0.683 0.802 0.834 0.2478 0.923 0.854
#> 4 4 0.730 0.818 0.893 0.2341 0.797 0.562
#> 5 5 0.654 0.635 0.791 0.0732 0.853 0.526
#> 6 6 0.673 0.494 0.700 0.0483 0.895 0.582
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9854 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9854 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9854 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9971 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.1184 0.9734 0.984 0.016
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9971 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9854 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9971 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9854 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9854 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.6712 0.7862 0.176 0.824
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9854 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9971 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9854 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9971 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9971 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9854 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9971 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9971 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9971 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.9971 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0376 0.9932 0.004 0.996
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9971 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9854 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9971 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9971 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9971 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.9971 0.000 1.000
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#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9854 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9971 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9971 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9854 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.9971 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9854 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0376 0.9932 0.004 0.996
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9971 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.9971 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.7883 0.6902 0.236 0.764
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9971 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9971 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0938 0.9765 0.988 0.012
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.9854 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.9971 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.9971 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.9971 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9971 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.9971 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9971 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.9854 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9854 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.3274 0.9287 0.940 0.060
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9971 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.9971 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9971 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.9854 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9854 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9854 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5408 0.8565 0.876 0.124
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9971 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9971 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9971 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.9854 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9854 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.9971 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9971 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9854 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9971 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9971 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9854 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9971 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9971 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9971 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9854 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9854 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.9971 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9854 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9854 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9854 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9971 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9971 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9854 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9971 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.1184 0.9734 0.984 0.016
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9854 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9971 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9971 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9854 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.9971 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9971 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 1.0000 0.0255 0.504 0.496
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9971 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9854 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.1184 0.9734 0.984 0.016
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9971 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.9971 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9971 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.1184 0.9734 0.984 0.016
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9971 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9971 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9971 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9854 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9971 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9854 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9971 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.9971 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9854 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9854 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9971 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9854 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9971 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.9971 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9971 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.9971 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9971 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9971 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9971 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9971 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9971 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9971 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 3 0.6045 0.9055 0.380 0.000 0.620
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2165 0.8136 0.936 0.000 0.064
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 3 0.6045 0.9055 0.380 0.000 0.620
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.6026 0.8535 0.000 0.624 0.376
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0892 0.8642 0.980 0.000 0.020
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.7667 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.8745 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.5988 0.8547 0.000 0.632 0.368
#> C227E512-1327-4BD0-8A9E-613D64F37829 3 0.6045 0.9055 0.380 0.000 0.620
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 3 0.6154 0.8686 0.408 0.000 0.592
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.6247 0.4415 0.004 0.376 0.620
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0424 0.8718 0.992 0.000 0.008
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0237 0.7664 0.000 0.996 0.004
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2165 0.8122 0.936 0.000 0.064
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.5905 0.8539 0.000 0.648 0.352
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6008 0.8539 0.000 0.628 0.372
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.8745 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.6026 0.8535 0.000 0.624 0.376
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.3038 0.8039 0.000 0.896 0.104
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5948 0.8549 0.000 0.640 0.360
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.7667 0.000 1.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.6045 0.8530 0.000 0.620 0.380
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.6045 0.8530 0.000 0.620 0.380
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 3 0.6045 0.9055 0.380 0.000 0.620
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2537 0.7968 0.000 0.920 0.080
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.7667 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.6045 0.8530 0.000 0.620 0.380
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.7667 0.000 1.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0237 0.7664 0.000 0.996 0.004
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.6026 0.8535 0.000 0.624 0.376
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.7667 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.8745 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.5968 0.8543 0.000 0.636 0.364
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.6045 0.8530 0.000 0.620 0.380
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.5122 0.6155 0.200 0.788 0.012
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.8745 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.6026 0.8535 0.000 0.624 0.376
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.5882 0.8538 0.000 0.652 0.348
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.6045 0.9055 0.380 0.000 0.620
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.7667 0.000 1.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.6045 0.8530 0.000 0.620 0.380
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.5859 0.8536 0.000 0.656 0.344
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5905 0.8539 0.000 0.648 0.352
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.6045 0.8530 0.000 0.620 0.380
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 3 0.6045 0.9055 0.380 0.000 0.620
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.4121 0.8226 0.000 0.832 0.168
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.9445 0.3794 0.192 0.336 0.472
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.1643 0.7836 0.000 0.956 0.044
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 3 0.6045 0.9055 0.380 0.000 0.620
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.7667 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0237 0.7673 0.000 0.996 0.004
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.9773 -0.2042 0.396 0.232 0.372
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.8745 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.8745 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.8745 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.6045 0.8530 0.000 0.620 0.380
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.8745 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.4974 0.8390 0.000 0.764 0.236
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2356 0.7934 0.000 0.928 0.072
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.3899 0.7754 0.888 0.056 0.056
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.8745 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.8745 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.5926 0.8543 0.000 0.644 0.356
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4555 0.5259 0.800 0.000 0.200
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1529 0.8404 0.960 0.000 0.040
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.1411 0.7822 0.000 0.964 0.036
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.6026 0.8535 0.000 0.624 0.376
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 3 0.6045 0.9055 0.380 0.000 0.620
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.3551 0.7115 0.868 0.000 0.132
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.3752 0.8120 0.000 0.856 0.144
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.8745 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.5988 0.8545 0.000 0.632 0.368
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.1643 0.8387 0.956 0.000 0.044
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 3 0.6045 0.9055 0.380 0.000 0.620
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.7667 0.000 1.000 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.3038 0.8070 0.000 0.896 0.104
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.6888 0.1431 0.552 0.432 0.016
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.2878 0.8017 0.000 0.904 0.096
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 3 0.6045 0.9055 0.380 0.000 0.620
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.4842 0.8284 0.000 0.776 0.224
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.6045 0.8530 0.000 0.620 0.380
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.8173 0.7462 0.264 0.116 0.620
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 3 0.6126 0.8807 0.400 0.000 0.600
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.6045 0.8530 0.000 0.620 0.380
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 3 0.6045 0.9055 0.380 0.000 0.620
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 3 0.6045 0.9055 0.380 0.000 0.620
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 3 0.6045 0.9055 0.380 0.000 0.620
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#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0747 0.8640 0.984 0.000 0.016
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.8187 0.7219 0.244 0.128 0.628
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.7667 0.000 1.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.6026 0.8535 0.000 0.624 0.376
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.6045 0.8530 0.000 0.620 0.380
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0592 0.8694 0.988 0.000 0.012
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 3 0.6045 0.9055 0.380 0.000 0.620
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.7667 0.000 1.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0237 0.7673 0.000 0.996 0.004
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.3482 0.7188 0.872 0.000 0.128
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.6045 0.8530 0.000 0.620 0.380
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.1163 0.7796 0.000 0.972 0.028
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 3 0.6045 0.9055 0.380 0.000 0.620
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.1643 0.7856 0.000 0.956 0.044
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.6045 0.8530 0.000 0.620 0.380
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.6045 0.8530 0.000 0.620 0.380
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.8745 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 3 0.6045 0.9055 0.380 0.000 0.620
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0237 0.7664 0.000 0.996 0.004
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 3 0.6045 0.9055 0.380 0.000 0.620
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.6045 0.9055 0.380 0.000 0.620
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.6045 0.9055 0.380 0.000 0.620
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.5905 0.8539 0.000 0.648 0.352
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5905 0.8539 0.000 0.648 0.352
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.8745 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.6045 0.8530 0.000 0.620 0.380
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0892 0.8642 0.980 0.000 0.020
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 3 0.6045 0.9055 0.380 0.000 0.620
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.3686 0.8133 0.000 0.860 0.140
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.3619 0.8116 0.000 0.864 0.136
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0592 0.8694 0.988 0.000 0.012
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0237 0.7664 0.000 0.996 0.004
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.7667 0.000 1.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.6553 0.2090 0.324 0.656 0.020
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.6045 0.8530 0.000 0.620 0.380
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.8745 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0892 0.8642 0.980 0.000 0.020
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.6026 0.8535 0.000 0.624 0.376
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.7667 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.6026 0.8535 0.000 0.624 0.376
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0892 0.8642 0.980 0.000 0.020
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5058 0.8317 0.000 0.756 0.244
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.6045 0.8530 0.000 0.620 0.380
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.6045 0.8530 0.000 0.620 0.380
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0747 0.8673 0.984 0.000 0.016
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5882 0.8538 0.000 0.652 0.348
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1643 0.8370 0.956 0.000 0.044
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.6008 0.8544 0.000 0.628 0.372
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.7667 0.000 1.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.3551 0.7115 0.868 0.000 0.132
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 3 0.6045 0.9055 0.380 0.000 0.620
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3192 0.8073 0.000 0.888 0.112
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8745 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0592 0.7722 0.000 0.988 0.012
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.7667 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.6045 0.8530 0.000 0.620 0.380
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0237 0.7664 0.000 0.996 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6008 0.8539 0.000 0.628 0.372
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.6045 0.8530 0.000 0.620 0.380
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4346 0.8267 0.000 0.816 0.184
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4796 0.8277 0.000 0.780 0.220
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.7667 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5926 0.8540 0.000 0.644 0.356
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2011 0.883290 0.080 0.000 0.000 0.920
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0817 0.917053 0.000 0.024 0.000 0.976
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4164 0.810055 0.000 0.736 0.264 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0921 0.937717 0.972 0.000 0.000 0.028
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4100 0.796906 0.832 0.092 0.076 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3610 0.787268 0.000 0.200 0.800 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2149 0.875429 0.088 0.000 0.000 0.912
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.3942 0.833989 0.000 0.764 0.236 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0188 0.826482 0.000 0.996 0.004 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3266 0.848646 0.000 0.832 0.168 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0707 0.831750 0.000 0.020 0.980 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4746 0.667038 0.000 0.632 0.368 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.0707 0.831770 0.000 0.020 0.980 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.2081 0.851808 0.000 0.916 0.084 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.3837 0.770470 0.000 0.224 0.776 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3837 0.836987 0.000 0.776 0.224 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0336 0.824751 0.000 0.992 0.008 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0921 0.837145 0.000 0.972 0.028 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.4741 0.759458 0.000 0.228 0.744 0.028
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.4193 0.809247 0.000 0.732 0.268 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3219 0.801519 0.000 0.164 0.836 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.2081 0.851808 0.000 0.916 0.084 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4072 0.823269 0.000 0.748 0.252 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.2011 0.847569 0.000 0.920 0.080 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.4941 0.526284 0.000 0.436 0.564 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.4898 0.253381 0.584 0.000 0.416 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.3726 0.782821 0.000 0.212 0.788 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0524 0.823413 0.000 0.988 0.004 0.008
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.4933 -0.050453 0.000 0.568 0.432 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.3873 0.770004 0.000 0.228 0.772 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.5147 0.697345 0.060 0.000 0.200 0.740
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.4134 0.816711 0.000 0.740 0.260 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.4164 0.645855 0.264 0.000 0.000 0.736
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1474 0.902735 0.052 0.000 0.000 0.948
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0707 0.834597 0.000 0.020 0.980 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3688 0.754981 0.208 0.000 0.000 0.792
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4193 0.754055 0.000 0.268 0.732 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1118 0.835646 0.000 0.964 0.036 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1389 0.907502 0.048 0.000 0.000 0.952
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3726 0.778178 0.000 0.212 0.788 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.4898 0.568439 0.000 0.416 0.584 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.5452 0.200050 0.016 0.000 0.428 0.556
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.4994 0.338756 0.000 0.480 0.520 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.4898 0.584318 0.000 0.584 0.416 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1557 0.846955 0.000 0.944 0.056 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0817 0.940718 0.976 0.000 0.000 0.024
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.3801 0.837919 0.000 0.780 0.220 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.4382 0.565320 0.000 0.000 0.296 0.704
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.4855 0.000686 0.000 0.400 0.600 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.1022 0.838110 0.000 0.968 0.032 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.1557 0.846955 0.000 0.944 0.056 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.2197 0.851933 0.000 0.916 0.080 0.004
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 3 0.0592 0.832061 0.000 0.016 0.984 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.3942 0.832922 0.000 0.764 0.236 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.1940 0.851373 0.000 0.924 0.076 0.000
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#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3486 0.789844 0.000 0.188 0.812 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0188 0.825068 0.000 0.996 0.004 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0592 0.834992 0.000 0.984 0.016 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0336 0.950738 0.992 0.000 0.008 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.3942 0.833849 0.000 0.764 0.236 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.1211 0.835573 0.000 0.040 0.960 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0188 0.829274 0.000 0.996 0.004 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3219 0.807613 0.164 0.000 0.000 0.836
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0592 0.925224 0.016 0.000 0.000 0.984
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0672 0.945850 0.984 0.008 0.008 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.0188 0.837237 0.000 0.004 0.996 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0188 0.837237 0.000 0.004 0.996 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3172 0.811943 0.160 0.000 0.000 0.840
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.3764 0.781610 0.000 0.216 0.784 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.0592 0.833085 0.000 0.016 0.984 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0188 0.824935 0.000 0.996 0.000 0.004
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.1557 0.832648 0.000 0.056 0.944 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.2760 0.851316 0.000 0.872 0.128 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1557 0.835842 0.000 0.944 0.056 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1389 0.846187 0.000 0.952 0.048 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0817 0.917053 0.000 0.024 0.000 0.976
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.4804 0.580007 0.000 0.384 0.616 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.4713 0.630897 0.000 0.360 0.640 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3801 0.773226 0.000 0.220 0.780 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4610 0.624997 0.020 0.000 0.744 0.236
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2216 0.852111 0.000 0.908 0.092 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2704 0.852453 0.000 0.876 0.124 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.838330 0.000 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.3907 0.834150 0.000 0.768 0.232 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.1792 0.878282 0.000 0.068 0.000 0.932
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1637 0.793030 0.000 0.940 0.060 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1557 0.846955 0.000 0.944 0.056 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1940 0.851289 0.000 0.924 0.076 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.1557 0.835842 0.000 0.944 0.056 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1389 0.906059 0.048 0.000 0.000 0.952
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.3942 0.832532 0.000 0.764 0.236 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.1389 0.833861 0.000 0.048 0.952 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3266 0.803161 0.168 0.000 0.000 0.832
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.955627 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.0707 0.831070 0.000 0.020 0.980 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.933002 0.000 0.000 0.000 1.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2647 0.733255 0.000 0.120 0.880 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3528 0.789787 0.000 0.192 0.808 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0921 0.837145 0.000 0.972 0.028 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.3907 0.765923 0.000 0.232 0.768 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0188 0.826482 0.000 0.996 0.004 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.826885 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4543 0.322471 0.000 0.324 0.676 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4933 0.549043 0.000 0.568 0.432 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.2814 0.816272 0.000 0.132 0.868 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0707 0.819576 0.000 0.980 0.020 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1732 0.86243 0.080 0.000 0.000 0.920 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2179 0.67509 0.000 0.000 0.112 0.000 0.888
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.4210 0.36247 0.000 0.412 0.000 0.588 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.2966 0.73694 0.000 0.000 0.816 0.000 0.184
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2280 0.66976 0.000 0.000 0.120 0.000 0.880
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0609 0.91041 0.980 0.000 0.000 0.020 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4540 0.68683 0.656 0.024 0.320 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0451 0.89976 0.000 0.008 0.004 0.988 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.4054 0.57612 0.000 0.224 0.748 0.000 0.028
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2280 0.83218 0.120 0.000 0.000 0.880 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.5508 0.52103 0.000 0.244 0.120 0.000 0.636
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.4655 -0.04044 0.000 0.476 0.012 0.000 0.512
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.4482 0.27916 0.000 0.376 0.012 0.000 0.612
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.6822 -0.30222 0.000 0.344 0.340 0.000 0.316
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.2471 0.66065 0.000 0.000 0.136 0.000 0.864
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2773 0.74391 0.000 0.000 0.836 0.000 0.164
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2852 0.65440 0.000 0.828 0.000 0.000 0.172
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.4235 0.35081 0.000 0.576 0.000 0.000 0.424
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.4060 0.35793 0.000 0.000 0.360 0.000 0.640
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2891 0.73985 0.000 0.000 0.824 0.000 0.176
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.4135 0.36920 0.000 0.340 0.004 0.000 0.656
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2773 0.74391 0.000 0.000 0.836 0.000 0.164
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.4378 0.49506 0.000 0.716 0.248 0.036 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.1197 0.66306 0.000 0.048 0.000 0.000 0.952
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2890 0.74478 0.000 0.004 0.836 0.000 0.160
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1671 0.68300 0.000 0.924 0.000 0.000 0.076
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1965 0.68032 0.000 0.904 0.000 0.000 0.096
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4649 0.45810 0.000 0.716 0.220 0.064 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.2179 0.67509 0.000 0.000 0.112 0.000 0.888
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.5726 0.56393 0.000 0.140 0.248 0.000 0.612
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3359 0.84605 0.816 0.020 0.164 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4264 0.58692 0.000 0.212 0.744 0.000 0.044
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.3837 0.42652 0.000 0.308 0.000 0.000 0.692
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.6091 0.42573 0.000 0.140 0.336 0.000 0.524
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.4321 0.24280 0.000 0.396 0.004 0.000 0.600
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.2329 0.67277 0.000 0.876 0.000 0.000 0.124
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3844 0.61196 0.000 0.792 0.164 0.000 0.044
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.5268 0.09744 0.320 0.068 0.612 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4876 0.41007 0.000 0.700 0.220 0.000 0.080
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.3988 0.72557 0.000 0.036 0.768 0.000 0.196
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.4840 0.58848 0.000 0.040 0.640 0.000 0.320
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.2236 0.68414 0.000 0.908 0.024 0.000 0.068
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.2377 0.83242 0.000 0.128 0.000 0.872 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.3816 0.54600 0.000 0.696 0.000 0.000 0.304
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.3670 0.63344 0.000 0.820 0.112 0.000 0.068
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4317 0.54644 0.000 0.764 0.160 0.000 0.076
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.6984 0.55986 0.060 0.036 0.216 0.608 0.080
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.2561 0.65894 0.000 0.000 0.144 0.000 0.856
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.5549 0.54493 0.244 0.000 0.000 0.632 0.124
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1478 0.87330 0.064 0.000 0.000 0.936 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.5071 0.09924 0.000 0.036 0.424 0.000 0.540
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.2329 0.67055 0.000 0.000 0.124 0.000 0.876
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3999 0.54110 0.344 0.000 0.000 0.656 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.4431 0.46687 0.000 0.732 0.216 0.000 0.052
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.3913 0.49093 0.000 0.676 0.000 0.000 0.324
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1410 0.87743 0.060 0.000 0.000 0.940 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.5236 -0.11867 0.000 0.492 0.464 0.000 0.044
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.3210 0.56794 0.000 0.788 0.212 0.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.5331 0.69260 0.004 0.068 0.160 0.728 0.040
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#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.2605 0.80882 0.148 0.000 0.000 0.852 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.3999 0.51285 0.000 0.656 0.000 0.000 0.344
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.3895 0.53952 0.000 0.680 0.000 0.000 0.320
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.2773 0.74391 0.000 0.000 0.836 0.000 0.164
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.3210 0.74989 0.000 0.212 0.000 0.788 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.2236 0.68776 0.000 0.024 0.068 0.000 0.908
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.3016 0.68045 0.000 0.020 0.132 0.000 0.848
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.4681 0.56666 0.000 0.052 0.252 0.000 0.696
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.4851 0.56042 0.000 0.036 0.624 0.000 0.340
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.3661 0.63420 0.724 0.000 0.000 0.276 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.4171 0.40960 0.000 0.604 0.000 0.000 0.396
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.4849 0.66213 0.000 0.140 0.136 0.000 0.724
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 5 0.4169 0.54792 0.000 0.240 0.028 0.000 0.732
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.2722 0.68158 0.000 0.020 0.108 0.000 0.872
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.3508 0.55838 0.000 0.748 0.000 0.000 0.252
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.2179 0.67509 0.000 0.000 0.112 0.000 0.888
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.4088 0.46029 0.000 0.632 0.000 0.000 0.368
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.1372 0.88755 0.004 0.016 0.024 0.956 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.2286 0.67808 0.000 0.004 0.108 0.000 0.888
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.2522 0.68143 0.000 0.012 0.108 0.000 0.880
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3398 0.55753 0.000 0.780 0.000 0.216 0.004
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.3480 0.52888 0.000 0.248 0.000 0.000 0.752
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0162 0.91912 0.996 0.000 0.000 0.004 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.3550 0.60874 0.000 0.184 0.020 0.000 0.796
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.4045 0.47353 0.000 0.644 0.000 0.000 0.356
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.1121 0.89624 0.956 0.000 0.000 0.044 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3803 0.62171 0.000 0.804 0.140 0.000 0.056
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.3011 0.85968 0.844 0.016 0.140 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5676 0.48145 0.000 0.692 0.168 0.040 0.100
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.2712 0.68762 0.000 0.032 0.088 0.000 0.880
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.4420 0.46429 0.000 0.692 0.280 0.000 0.028
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.4247 0.49762 0.132 0.092 0.776 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.4305 0.13582 0.000 0.512 0.000 0.000 0.488
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.4639 0.33966 0.000 0.368 0.612 0.000 0.020
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.0290 0.90067 0.000 0.008 0.000 0.992 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.4141 0.69410 0.000 0.236 0.028 0.736 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5237 0.49225 0.000 0.300 0.628 0.000 0.072
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.2561 0.66350 0.000 0.856 0.000 0.000 0.144
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.2605 0.74397 0.000 0.000 0.852 0.000 0.148
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.2470 0.68114 0.000 0.012 0.104 0.000 0.884
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.4527 0.64846 0.000 0.036 0.692 0.000 0.272
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.2773 0.65965 0.000 0.836 0.000 0.000 0.164
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.2293 0.88541 0.900 0.016 0.084 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4297 0.73414 0.692 0.020 0.288 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.4152 0.62860 0.000 0.168 0.060 0.000 0.772
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.3375 0.73619 0.000 0.056 0.840 0.000 0.104
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.3109 0.64181 0.000 0.800 0.000 0.000 0.200
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3003 0.77179 0.188 0.000 0.000 0.812 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0609 0.89630 0.020 0.000 0.000 0.980 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5067 0.74229 0.700 0.128 0.172 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.4306 0.08275 0.000 0.000 0.508 0.000 0.492
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.4150 0.41097 0.000 0.612 0.000 0.000 0.388
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.3336 0.62668 0.000 0.772 0.000 0.000 0.228
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.3210 0.70945 0.000 0.000 0.788 0.000 0.212
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4264 0.71404 0.000 0.044 0.744 0.000 0.212
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3003 0.77130 0.188 0.000 0.000 0.812 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1410 0.68470 0.000 0.940 0.000 0.000 0.060
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5045 0.35792 0.000 0.636 0.308 0.000 0.056
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3796 0.47327 0.000 0.000 0.300 0.000 0.700
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.3983 0.49279 0.000 0.660 0.000 0.000 0.340
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1341 0.68442 0.000 0.944 0.000 0.000 0.056
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.5795 0.59436 0.000 0.268 0.596 0.000 0.136
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.3319 0.84815 0.820 0.020 0.160 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.3359 0.84605 0.816 0.020 0.164 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.5131 0.29541 0.000 0.364 0.048 0.000 0.588
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.2951 0.66870 0.000 0.860 0.028 0.000 0.112
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.4201 0.20800 0.000 0.408 0.000 0.000 0.592
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.4210 0.36247 0.000 0.412 0.000 0.588 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.5519 0.52025 0.000 0.648 0.204 0.000 0.148
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5799 0.47527 0.000 0.612 0.220 0.000 0.168
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3661 0.46539 0.000 0.276 0.724 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.2813 0.74288 0.000 0.000 0.832 0.000 0.168
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4780 0.46981 0.016 0.072 0.748 0.164 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.4171 0.22501 0.000 0.396 0.000 0.000 0.604
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.4321 0.23136 0.000 0.396 0.004 0.000 0.600
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.3734 0.73719 0.000 0.036 0.796 0.000 0.168
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.2179 0.67509 0.000 0.000 0.112 0.000 0.888
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4359 0.15793 0.000 0.584 0.004 0.412 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2036 0.68626 0.000 0.920 0.024 0.000 0.056
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.4235 0.14873 0.000 0.424 0.000 0.000 0.576
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.4297 -0.00604 0.000 0.472 0.000 0.000 0.528
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5535 0.19610 0.000 0.536 0.072 0.000 0.392
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1410 0.87660 0.060 0.000 0.000 0.940 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.3115 0.64885 0.000 0.036 0.112 0.000 0.852
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.3477 0.73753 0.000 0.056 0.832 0.000 0.112
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3109 0.75852 0.200 0.000 0.000 0.800 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.92096 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.4375 0.21826 0.000 0.004 0.420 0.000 0.576
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.90387 0.000 0.000 0.000 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.4009 0.56421 0.000 0.004 0.684 0.000 0.312
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.4015 0.34653 0.000 0.348 0.652 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4268 0.29046 0.000 0.556 0.000 0.000 0.444
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4227 0.13580 0.000 0.580 0.420 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3561 0.55219 0.000 0.740 0.000 0.000 0.260
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3242 0.63511 0.000 0.784 0.000 0.000 0.216
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.4173 0.49691 0.000 0.012 0.300 0.000 0.688
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.6142 0.28565 0.000 0.132 0.396 0.000 0.472
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3882 0.62622 0.000 0.168 0.788 0.000 0.044
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0963 0.68428 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1967 0.835226 0.084 0.000 0.000 0.904 0.012 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4709 -0.162596 0.000 0.540 0.048 0.000 0.412 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.3866 0.066759 0.000 0.000 0.000 0.516 0.000 0.484
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4613 0.579066 0.000 0.088 0.700 0.000 0.204 0.008
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0713 0.871878 0.028 0.000 0.000 0.972 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4676 -0.168801 0.000 0.528 0.044 0.000 0.428 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0725 0.837277 0.976 0.000 0.000 0.012 0.012 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6295 0.572111 0.512 0.000 0.048 0.000 0.296 0.144
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0777 0.870230 0.000 0.000 0.000 0.972 0.004 0.024
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3806 0.601897 0.000 0.000 0.768 0.000 0.164 0.068
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2048 0.812776 0.120 0.000 0.000 0.880 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.5287 0.111678 0.000 0.420 0.508 0.000 0.040 0.032
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4292 0.349948 0.000 0.628 0.032 0.000 0.000 0.340
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0363 0.878542 0.000 0.000 0.000 0.988 0.012 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3551 0.473483 0.000 0.792 0.000 0.000 0.060 0.148
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.7279 0.220324 0.000 0.176 0.132 0.000 0.312 0.380
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5128 -0.217612 0.000 0.504 0.084 0.000 0.412 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2814 0.620326 0.000 0.000 0.820 0.000 0.172 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3838 0.223874 0.000 0.552 0.000 0.000 0.000 0.448
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.3499 0.384931 0.000 0.680 0.000 0.000 0.000 0.320
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.5951 0.343260 0.000 0.236 0.244 0.000 0.512 0.008
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2955 0.620238 0.000 0.004 0.816 0.000 0.172 0.008
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3413 0.485560 0.000 0.812 0.080 0.000 0.000 0.108
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4374 0.584462 0.000 0.088 0.732 0.000 0.172 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.2003 0.657647 0.000 0.000 0.000 0.000 0.116 0.884
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3592 0.051341 0.000 0.656 0.000 0.000 0.344 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0291 0.609359 0.000 0.000 0.992 0.000 0.004 0.004
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
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#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.3867 0.007968 0.000 0.000 0.000 0.488 0.000 0.512
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.6027 0.567501 0.000 0.172 0.028 0.000 0.252 0.548
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.5803 0.594121 0.000 0.100 0.052 0.000 0.252 0.596
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5803 0.222243 0.000 0.000 0.416 0.000 0.180 0.404
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4374 0.584462 0.000 0.088 0.732 0.000 0.172 0.008
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 5 0.5529 -0.297376 0.000 0.000 0.368 0.036 0.536 0.060
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2454 0.489753 0.000 0.840 0.000 0.000 0.000 0.160
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3516 0.476180 0.000 0.788 0.048 0.000 0.000 0.164
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.5155 0.510878 0.000 0.088 0.596 0.000 0.308 0.008
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4312 -0.044986 0.000 0.604 0.028 0.000 0.368 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 6 0.3706 0.346052 0.000 0.000 0.000 0.380 0.000 0.620
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 6 0.3201 0.645399 0.000 0.148 0.008 0.000 0.024 0.820
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3076 0.448258 0.000 0.760 0.000 0.000 0.000 0.240
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3528 0.385454 0.000 0.700 0.004 0.000 0.000 0.296
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5549 0.215372 0.000 0.484 0.376 0.000 0.000 0.140
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1327 0.854619 0.064 0.000 0.000 0.936 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.4666 0.360092 0.000 0.420 0.044 0.000 0.536 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0291 0.609359 0.000 0.000 0.992 0.000 0.004 0.004
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2883 0.725805 0.212 0.000 0.000 0.788 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.849005 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.5721 0.000807 0.000 0.548 0.272 0.000 0.172 0.008
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.881132 0.000 0.000 0.000 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.1297 0.596086 0.000 0.012 0.948 0.000 0.040 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.5939 -0.169658 0.000 0.012 0.408 0.000 0.148 0.432
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.3515 0.367282 0.000 0.676 0.000 0.000 0.000 0.324
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 6 0.4599 0.529435 0.000 0.000 0.212 0.000 0.104 0.684
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5796 0.234132 0.000 0.500 0.268 0.000 0.000 0.232
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3817 0.251549 0.000 0.568 0.000 0.000 0.000 0.432
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4881 0.014302 0.000 0.076 0.588 0.000 0.336 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.2901 0.530940 0.000 0.128 0.840 0.000 0.032 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1780 0.587307 0.000 0.000 0.924 0.000 0.048 0.028
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.3834 0.646487 0.000 0.116 0.000 0.000 0.108 0.776
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.855 0.929 0.968 0.4813 0.522 0.522
#> 3 3 0.663 0.732 0.853 0.2430 0.854 0.729
#> 4 4 0.524 0.535 0.719 0.1532 0.859 0.687
#> 5 5 0.575 0.433 0.688 0.0727 0.902 0.742
#> 6 6 0.637 0.554 0.763 0.0706 0.819 0.480
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.980 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.980 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.980 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.957 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.7883 0.667 0.764 0.236
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.957 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.980 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.957 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.980 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.980 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.980 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.980 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.957 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.980 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.957 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.957 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.980 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.957 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7745 0.738 0.228 0.772
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.957 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.957 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.957 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.957 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.980 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.957 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.957 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.957 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.957 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.6712 0.766 0.824 0.176
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.957 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.957 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.980 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.957 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.957 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.9866 0.181 0.568 0.432
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.980 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.957 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.957 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.980 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.957 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.957 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.957 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.957 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.957 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.980 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.957 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.980 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.7815 0.733 0.232 0.768
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.980 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.7219 0.773 0.200 0.800
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.7299 0.769 0.204 0.796
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8499 0.666 0.276 0.724
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.980 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.980 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.980 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.957 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.980 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.957 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.957 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.980 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.980 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.980 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.957 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.980 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.980 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.957 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.957 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.980 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.980 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.7219 0.773 0.200 0.800
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.980 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.957 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.980 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.980 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.957 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.957 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.980 1.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.8081 0.710 0.248 0.752
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.980 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.957 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.957 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.980 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.980 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.957 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.980 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.980 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.980 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.957 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.980 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1843 0.936 0.028 0.972
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.0938 0.969 0.988 0.012
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#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.957 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.980 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.957 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.980 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.957 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.957 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.980 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.980 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.957 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.980 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.957 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.7674 0.744 0.224 0.776
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.957 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.957 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.957 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.957 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.957 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.957 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.957 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.2778 0.921 0.048 0.952
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.4654 0.7629 0.792 0.000 0.208
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.1529 0.8205 0.960 0.000 0.040
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.4346 0.7752 0.816 0.000 0.184
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.8995 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6229 0.5683 0.172 0.064 0.764
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.1964 0.8749 0.000 0.944 0.056
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3816 0.7834 0.852 0.000 0.148
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.8995 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.4178 0.7807 0.828 0.000 0.172
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0592 0.8226 0.988 0.000 0.012
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.4887 0.5203 0.228 0.000 0.772
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.4974 0.4989 0.236 0.000 0.764
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.3879 0.7693 0.000 0.848 0.152
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0747 0.8232 0.984 0.000 0.016
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.8995 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1411 0.8971 0.000 0.964 0.036
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.3816 0.7841 0.852 0.000 0.148
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1411 0.8971 0.000 0.964 0.036
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.6305 0.2167 0.000 0.484 0.516
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.8995 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.4974 0.6374 0.000 0.764 0.236
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2261 0.8901 0.000 0.932 0.068
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1411 0.8971 0.000 0.964 0.036
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.4974 0.7477 0.764 0.000 0.236
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.8995 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.1031 0.8944 0.000 0.976 0.024
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1411 0.8971 0.000 0.964 0.036
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.4654 0.6850 0.000 0.792 0.208
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.6106 0.6311 0.044 0.200 0.756
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.8995 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.5497 0.5263 0.000 0.708 0.292
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.4062 0.7747 0.836 0.000 0.164
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1411 0.8971 0.000 0.964 0.036
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1411 0.8971 0.000 0.964 0.036
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.8091 0.5389 0.088 0.320 0.592
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.3686 0.7873 0.860 0.000 0.140
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.2845 0.8297 0.068 0.920 0.012
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.8995 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.4887 0.5203 0.228 0.000 0.772
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.5560 0.5091 0.000 0.700 0.300
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1411 0.8971 0.000 0.964 0.036
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.8995 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1289 0.8980 0.000 0.968 0.032
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1411 0.8971 0.000 0.964 0.036
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.4346 0.7752 0.816 0.000 0.184
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.2448 0.8855 0.000 0.924 0.076
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.4887 0.5203 0.228 0.000 0.772
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.6204 0.3377 0.000 0.424 0.576
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.4346 0.7752 0.816 0.000 0.184
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.6126 0.2367 0.000 0.600 0.400
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.6126 0.2367 0.000 0.600 0.400
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.5363 0.5791 0.000 0.276 0.724
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.1163 0.8219 0.972 0.000 0.028
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.5678 0.4430 0.316 0.000 0.684
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.3816 0.7834 0.852 0.000 0.148
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1411 0.8971 0.000 0.964 0.036
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3816 0.7834 0.852 0.000 0.148
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.1964 0.8940 0.000 0.944 0.056
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2165 0.8914 0.000 0.936 0.064
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.6252 0.4098 0.444 0.000 0.556
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.3752 0.7865 0.856 0.000 0.144
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.3816 0.7834 0.852 0.000 0.148
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.8995 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4605 0.6117 0.796 0.000 0.204
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0747 0.8232 0.984 0.000 0.016
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.1031 0.8944 0.000 0.976 0.024
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.8995 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.4346 0.7752 0.816 0.000 0.184
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0237 0.8232 0.996 0.000 0.004
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.6244 0.2086 0.000 0.560 0.440
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.3816 0.7834 0.852 0.000 0.148
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1411 0.8971 0.000 0.964 0.036
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0747 0.8232 0.984 0.000 0.016
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.4346 0.7752 0.816 0.000 0.184
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.1529 0.8963 0.000 0.960 0.040
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.2066 0.8926 0.000 0.940 0.060
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 3 0.5254 0.4922 0.264 0.000 0.736
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.5884 0.6007 0.012 0.272 0.716
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.4346 0.7752 0.816 0.000 0.184
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0747 0.8970 0.000 0.984 0.016
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1411 0.8971 0.000 0.964 0.036
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.4887 0.5203 0.228 0.000 0.772
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.2537 0.8107 0.920 0.000 0.080
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.1411 0.8971 0.000 0.964 0.036
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.4346 0.7752 0.816 0.000 0.184
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.4346 0.7752 0.816 0.000 0.184
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.4452 0.7717 0.808 0.000 0.192
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.8995 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.6140 0.4420 0.596 0.000 0.404
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.4821 0.7720 0.088 0.848 0.064
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.5397 0.4783 0.280 0.000 0.720
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.8995 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.5905 0.5530 0.648 0.000 0.352
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.1411 0.8971 0.000 0.964 0.036
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.1411 0.8971 0.000 0.964 0.036
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.5058 0.6736 0.000 0.756 0.244
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.5016 0.7483 0.760 0.000 0.240
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.8995 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.2448 0.8616 0.000 0.924 0.076
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.1411 0.8971 0.000 0.964 0.036
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.4887 0.7516 0.772 0.000 0.228
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.1411 0.8971 0.000 0.964 0.036
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.8995 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.6111 0.2498 0.000 0.604 0.396
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.4842 0.5807 0.776 0.000 0.224
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.4887 0.5203 0.228 0.000 0.772
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.2066 0.8929 0.000 0.940 0.060
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.6126 0.2367 0.000 0.600 0.400
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.4887 0.5203 0.228 0.000 0.772
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.4346 0.7752 0.816 0.000 0.184
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.8995 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.4887 0.5203 0.228 0.000 0.772
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.5058 0.7386 0.756 0.000 0.244
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.2878 0.8371 0.000 0.904 0.096
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.8995 0.000 1.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 3 0.5529 0.4642 0.296 0.000 0.704
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 3 0.5493 0.6259 0.012 0.232 0.756
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.4887 0.5203 0.228 0.000 0.772
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.8995 0.000 1.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0892 0.8958 0.000 0.980 0.020
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.4887 0.5203 0.228 0.000 0.772
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.6105 0.6328 0.024 0.252 0.724
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.8995 0.000 1.000 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.1411 0.8971 0.000 0.964 0.036
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.8995 0.000 1.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.1860 0.8953 0.000 0.948 0.052
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.3918 0.5527 0.120 0.012 0.868
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.4346 0.7752 0.816 0.000 0.184
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.5216 0.5957 0.000 0.260 0.740
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.5416 0.7528 0.080 0.820 0.100
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.8995 0.000 1.000 0.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.1031 0.8944 0.000 0.976 0.024
#> F1565477-7479-4777-BD07-C6480B421166 2 0.4708 0.7438 0.120 0.844 0.036
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.8995 0.000 1.000 0.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.3637 0.7981 0.084 0.892 0.024
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.1031 0.8944 0.000 0.976 0.024
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.3482 0.8421 0.000 0.872 0.128
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 3 0.7610 0.6012 0.144 0.168 0.688
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0237 0.8237 0.996 0.000 0.004
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.3192 0.7987 0.888 0.000 0.112
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.4346 0.7752 0.816 0.000 0.184
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.8995 0.000 1.000 0.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.1031 0.8944 0.000 0.976 0.024
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.6126 0.2367 0.000 0.600 0.400
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.4842 0.7507 0.776 0.000 0.224
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.5905 0.5530 0.648 0.000 0.352
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 3 0.5465 0.4704 0.288 0.000 0.712
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 3 0.5465 0.4757 0.288 0.000 0.712
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0237 0.8237 0.996 0.000 0.004
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.8995 0.000 1.000 0.000
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.0747 0.8999 0.000 0.984 0.016
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.1031 0.8944 0.000 0.976 0.024
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#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5291 0.6423 0.000 0.732 0.268
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0707 0.85440 0.980 0.000 0.000 0.020
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.5030 0.74032 0.188 0.000 0.060 0.752
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4399 0.68577 0.000 0.760 0.016 0.224
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.4121 0.38529 0.000 0.020 0.796 0.184
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.3052 0.59340 0.000 0.860 0.136 0.004
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.4155 0.74530 0.240 0.000 0.004 0.756
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4399 0.68577 0.000 0.760 0.016 0.224
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4998 0.28754 0.488 0.000 0.000 0.512
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.7355 0.17950 0.340 0.000 0.488 0.172
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.4420 0.31425 0.012 0.000 0.748 0.240
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.3945 0.50186 0.000 0.780 0.216 0.004
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4134 0.73522 0.260 0.000 0.000 0.740
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0336 0.65530 0.000 0.992 0.000 0.008
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.7120 0.58274 0.000 0.564 0.212 0.224
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4008 0.74413 0.244 0.000 0.000 0.756
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.5988 0.65851 0.000 0.676 0.100 0.224
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.5271 0.41188 0.000 0.640 0.340 0.020
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3801 0.68882 0.000 0.780 0.000 0.220
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.3791 0.52452 0.000 0.796 0.200 0.004
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.7529 -0.28991 0.000 0.288 0.488 0.224
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.7366 0.54059 0.000 0.524 0.252 0.224
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.1305 0.85165 0.960 0.000 0.004 0.036
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.3257 0.69065 0.000 0.844 0.004 0.152
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.3052 0.59340 0.000 0.860 0.136 0.004
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.6834 0.61367 0.000 0.600 0.176 0.224
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.3626 0.54582 0.000 0.812 0.184 0.004
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.4273 0.43276 0.008 0.036 0.820 0.136
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4158 0.68706 0.000 0.768 0.008 0.224
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.3668 0.54077 0.000 0.808 0.188 0.004
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.4745 0.67113 0.036 0.000 0.208 0.756
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.6724 0.62250 0.000 0.612 0.164 0.224
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.7344 0.54548 0.000 0.528 0.248 0.224
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.5848 0.28839 0.000 0.336 0.616 0.048
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.4072 0.74111 0.252 0.000 0.000 0.748
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.4542 0.68367 0.000 0.752 0.020 0.228
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0188 0.65031 0.000 0.996 0.004 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.7408 0.14778 0.364 0.000 0.464 0.172
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.4483 0.38782 0.000 0.712 0.284 0.004
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.7480 0.50880 0.000 0.500 0.276 0.224
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0524 0.64648 0.000 0.988 0.008 0.004
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5689 0.67128 0.000 0.712 0.104 0.184
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.7001 0.60300 0.000 0.580 0.196 0.224
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.6845 -0.03466 0.000 0.308 0.564 0.128
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.7414 0.18046 0.320 0.000 0.492 0.188
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.5620 0.32402 0.000 0.560 0.416 0.024
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4095 0.53766 0.000 0.792 0.192 0.016
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.4576 0.51486 0.000 0.748 0.232 0.020
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.1938 0.52199 0.000 0.052 0.936 0.012
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.4103 0.73889 0.256 0.000 0.000 0.744
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.5016 0.47161 0.004 0.000 0.396 0.600
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.4155 0.74531 0.240 0.000 0.004 0.756
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.7463 0.51529 0.000 0.504 0.272 0.224
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4040 0.74296 0.248 0.000 0.000 0.752
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.4283 0.55598 0.000 0.740 0.256 0.004
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.7152 0.59051 0.000 0.544 0.284 0.172
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.5220 0.42583 0.008 0.000 0.424 0.568
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.4072 0.74111 0.252 0.000 0.000 0.748
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.5199 0.72772 0.144 0.000 0.100 0.756
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.3837 0.68822 0.000 0.776 0.000 0.224
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.5280 0.71781 0.120 0.000 0.128 0.752
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.4193 0.72652 0.268 0.000 0.000 0.732
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.3052 0.59340 0.000 0.860 0.136 0.004
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.4507 0.68491 0.000 0.756 0.020 0.224
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0707 0.85714 0.980 0.000 0.000 0.020
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.4500 0.67432 0.316 0.000 0.000 0.684
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.5735 0.42998 0.000 0.576 0.392 0.032
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.4040 0.74296 0.248 0.000 0.000 0.752
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.6761 0.61967 0.000 0.608 0.168 0.224
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.4500 0.66290 0.316 0.000 0.000 0.684
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0592 0.85395 0.984 0.000 0.000 0.016
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.3355 0.59245 0.000 0.836 0.160 0.004
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.5158 0.19384 0.000 0.524 0.472 0.004
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 3 0.5317 -0.22632 0.004 0.004 0.532 0.460
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.3991 0.50196 0.000 0.172 0.808 0.020
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0524 0.64648 0.000 0.988 0.008 0.004
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.6435 0.64276 0.000 0.640 0.136 0.224
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.6957 0.27454 0.248 0.000 0.580 0.172
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.4661 0.24430 0.652 0.000 0.000 0.348
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.7585 0.47138 0.000 0.472 0.304 0.224
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.7252 0.25882 0.544 0.000 0.228 0.228
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.4799 0.68328 0.000 0.744 0.032 0.224
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.4387 0.65512 0.012 0.000 0.236 0.752
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.7205 0.59214 0.000 0.532 0.172 0.296
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.4999 -0.28107 0.000 0.000 0.508 0.492
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0524 0.65372 0.000 0.988 0.004 0.008
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.4957 0.59095 0.012 0.000 0.320 0.668
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.6606 0.63032 0.000 0.624 0.152 0.224
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.6565 0.63598 0.000 0.628 0.148 0.224
#> 54835A82-ED8A-440C-B092-743CECBD1528 3 0.7062 -0.03231 0.000 0.204 0.572 0.224
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.1610 0.84255 0.952 0.000 0.016 0.032
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.65212 0.000 1.000 0.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 3 0.7540 -0.25341 0.000 0.304 0.480 0.216
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.6606 0.63032 0.000 0.624 0.152 0.224
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.1151 0.84981 0.968 0.000 0.008 0.024
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.7426 0.52578 0.000 0.512 0.264 0.224
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0376 0.64855 0.000 0.992 0.004 0.004
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.3668 0.54949 0.000 0.808 0.188 0.004
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.5847 0.58703 0.052 0.000 0.320 0.628
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.7345 0.17286 0.348 0.000 0.484 0.168
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 3 0.7680 -0.37908 0.000 0.324 0.444 0.232
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.4204 0.53409 0.000 0.788 0.192 0.020
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.7375 0.18911 0.336 0.000 0.488 0.176
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.4507 0.68491 0.000 0.756 0.020 0.224
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.7222 0.22777 0.300 0.000 0.528 0.172
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.2021 0.83115 0.932 0.000 0.012 0.056
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.3105 0.59015 0.000 0.856 0.140 0.004
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.4507 0.68467 0.000 0.756 0.020 0.224
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.4746 0.51233 0.000 0.000 0.368 0.632
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 3 0.2408 0.51119 0.000 0.044 0.920 0.036
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.7408 0.14778 0.364 0.000 0.464 0.172
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0524 0.64648 0.000 0.988 0.008 0.004
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.2888 0.60081 0.000 0.872 0.124 0.004
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.7392 0.15959 0.356 0.000 0.472 0.172
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.3236 0.51812 0.004 0.088 0.880 0.028
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0469 0.65682 0.000 0.988 0.000 0.012
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.6565 0.63288 0.000 0.628 0.148 0.224
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.3444 0.69070 0.000 0.816 0.000 0.184
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.7315 0.62829 0.000 0.532 0.252 0.216
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.4595 0.36439 0.044 0.000 0.780 0.176
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.1743 0.52580 0.000 0.056 0.940 0.004
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.7166 0.49453 0.000 0.544 0.280 0.176
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.4507 0.68579 0.000 0.756 0.020 0.224
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.2944 0.59827 0.000 0.868 0.128 0.004
#> F1565477-7479-4777-BD07-C6480B421166 2 0.6728 0.62296 0.000 0.596 0.136 0.268
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.4018 0.68778 0.000 0.772 0.004 0.224
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.5113 0.66806 0.000 0.704 0.032 0.264
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.2999 0.59604 0.000 0.864 0.132 0.004
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.7577 0.56899 0.000 0.468 0.316 0.216
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 3 0.6745 0.29036 0.000 0.152 0.604 0.244
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 4 0.4277 0.71880 0.280 0.000 0.000 0.720
#> E7901BA6-1472-4395-8275-F54D06F71621 4 0.4072 0.74140 0.252 0.000 0.000 0.748
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.3528 0.69072 0.000 0.808 0.000 0.192
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.3052 0.59340 0.000 0.860 0.136 0.004
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.4253 0.52193 0.000 0.776 0.208 0.016
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.7182 0.27443 0.552 0.000 0.248 0.200
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 4 0.5408 0.33079 0.012 0.000 0.488 0.500
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 4 0.4916 0.43079 0.000 0.000 0.424 0.576
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 3 0.7720 -0.03729 0.360 0.000 0.412 0.228
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 4 0.4164 0.73213 0.264 0.000 0.000 0.736
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.3356 0.69133 0.000 0.824 0.000 0.176
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.4426 0.68916 0.000 0.772 0.024 0.204
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.3052 0.59340 0.000 0.860 0.136 0.004
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 1 0.4866 0.20132 0.596 0.000 0.000 0.404
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 4 0.4072 0.74178 0.252 0.000 0.000 0.748
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 4 0.4843 0.46988 0.000 0.000 0.396 0.604
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.1929 0.64938 0.000 0.940 0.036 0.024
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.5932 0.58636 0.000 0.680 0.224 0.096
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 2 0.3528 0.69072 0.000 0.808 0.000 0.192
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#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5431 0.68706 0.000 0.712 0.064 0.224
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.4830 0.16682 0.000 0.608 0.392 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4624 0.62033 0.340 0.000 0.000 0.660
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1211 0.86974 0.960 0.000 0.000 0.040
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2345 0.68232 0.000 0.900 0.000 0.100
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.4040 0.74296 0.248 0.000 0.000 0.752
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.2999 0.59604 0.000 0.864 0.132 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3942 0.44357 0.000 0.236 0.764 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.7463 0.51529 0.000 0.504 0.272 0.224
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3355 0.59245 0.000 0.836 0.160 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.7201 0.57199 0.000 0.552 0.224 0.224
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.6761 0.61967 0.000 0.608 0.168 0.224
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.2530 0.61464 0.000 0.896 0.100 0.004
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3157 0.58788 0.000 0.852 0.144 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5039 0.25354 0.000 0.404 0.592 0.004
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.6145 0.32221 0.000 0.492 0.460 0.048
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1697 0.94913 0.932 0.000 0.008 0.060 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2179 0.80094 0.000 0.000 0.112 0.888 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.1461 0.46430 0.004 0.028 0.016 0.000 0.952
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.5858 0.35903 0.000 0.452 0.452 0.096 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.4590 0.08296 0.000 0.420 0.012 0.000 0.568
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.81934 0.000 0.000 0.000 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.1708 0.46272 0.004 0.032 0.016 0.004 0.944
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1410 0.95221 0.940 0.000 0.000 0.060 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.3586 0.61675 0.264 0.000 0.000 0.736 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.3003 0.61984 0.092 0.000 0.864 0.044 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.5385 0.56395 0.008 0.232 0.668 0.092 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.6418 0.27776 0.000 0.420 0.172 0.000 0.408
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.0880 0.80949 0.032 0.000 0.000 0.968 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.3461 0.36386 0.004 0.224 0.000 0.000 0.772
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.4235 0.41903 0.008 0.336 0.000 0.000 0.656
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0404 0.81997 0.000 0.000 0.012 0.988 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.3949 0.42442 0.004 0.300 0.000 0.000 0.696
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.6992 -0.40177 0.008 0.336 0.168 0.016 0.472
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1764 0.45681 0.008 0.064 0.000 0.000 0.928
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.5256 -0.01166 0.000 0.420 0.048 0.000 0.532
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 5 0.6543 0.02811 0.004 0.380 0.172 0.000 0.444
#> C2F905E0-1D20-4582-8656-A2022521ED06 5 0.4512 0.40832 0.004 0.300 0.020 0.000 0.676
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.1914 0.93900 0.924 0.000 0.016 0.060 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.4029 0.23251 0.004 0.316 0.000 0.000 0.680
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.4219 0.10989 0.000 0.416 0.000 0.000 0.584
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.4108 0.42246 0.008 0.308 0.000 0.000 0.684
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.5371 -0.03432 0.000 0.420 0.056 0.000 0.524
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.3106 0.58259 0.000 0.140 0.840 0.020 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.1757 0.46727 0.004 0.048 0.012 0.000 0.936
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.5673 -0.10076 0.000 0.420 0.080 0.000 0.500
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1197 0.80449 0.000 0.000 0.048 0.952 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.4346 0.41249 0.004 0.304 0.012 0.000 0.680
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 5 0.4512 0.40832 0.004 0.300 0.020 0.000 0.676
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.7476 0.30431 0.008 0.448 0.184 0.040 0.320
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0290 0.81876 0.008 0.000 0.000 0.992 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.1862 0.46133 0.004 0.028 0.016 0.012 0.940
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3550 0.35371 0.004 0.236 0.000 0.000 0.760
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.4284 0.52293 0.224 0.000 0.736 0.040 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.6477 0.30265 0.000 0.424 0.184 0.000 0.392
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.4492 0.41168 0.004 0.296 0.020 0.000 0.680
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.3844 0.32938 0.004 0.256 0.004 0.000 0.736
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.4460 0.40141 0.004 0.392 0.004 0.000 0.600
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 5 0.4658 0.40311 0.004 0.296 0.028 0.000 0.672
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.6934 -0.19542 0.004 0.380 0.408 0.008 0.200
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.6173 0.53580 0.088 0.248 0.620 0.044 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.7080 0.44752 0.008 0.420 0.172 0.016 0.384
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.6174 0.37037 0.008 0.468 0.104 0.000 0.420
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.6571 -0.38618 0.008 0.400 0.136 0.004 0.452
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.4675 0.42719 0.000 0.336 0.640 0.020 0.004
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0794 0.81094 0.028 0.000 0.000 0.972 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.6678 0.36856 0.008 0.256 0.236 0.500 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.81934 0.000 0.000 0.000 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 5 0.4512 0.40832 0.004 0.300 0.020 0.000 0.676
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5143 -0.02549 0.000 0.532 0.040 0.000 0.428
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 5 0.6624 -0.01539 0.004 0.388 0.132 0.012 0.464
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.6976 0.24710 0.012 0.248 0.304 0.436 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.1043 0.80870 0.000 0.000 0.040 0.960 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.2304 0.44897 0.008 0.100 0.000 0.000 0.892
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2605 0.78623 0.000 0.000 0.148 0.852 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.2426 0.80476 0.036 0.000 0.064 0.900 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.4060 0.19164 0.000 0.360 0.000 0.000 0.640
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.1461 0.46430 0.004 0.028 0.016 0.000 0.952
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3866 0.75338 0.096 0.000 0.096 0.808 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 5 0.6375 -0.01702 0.000 0.340 0.120 0.016 0.524
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 5 0.4147 0.41649 0.008 0.316 0.000 0.000 0.676
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.2763 0.74641 0.148 0.000 0.004 0.848 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 5 0.4517 0.07743 0.000 0.436 0.008 0.000 0.556
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.6008 0.26559 0.000 0.560 0.148 0.000 0.292
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 3 0.4609 0.60538 0.000 0.104 0.744 0.152 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.3231 0.54099 0.000 0.196 0.800 0.004 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.4425 0.13860 0.000 0.392 0.008 0.000 0.600
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 5 0.4220 0.40942 0.004 0.300 0.008 0.000 0.688
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.2708 0.62803 0.072 0.000 0.884 0.044 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.4297 0.11197 0.472 0.000 0.000 0.528 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 5 0.4809 0.39881 0.004 0.296 0.036 0.000 0.664
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 3 0.5958 0.42462 0.144 0.008 0.612 0.236 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.1877 0.46661 0.004 0.052 0.004 0.008 0.932
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.1952 0.78773 0.000 0.004 0.084 0.912 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.6121 0.11735 0.004 0.152 0.148 0.036 0.660
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.6801 0.12396 0.008 0.364 0.204 0.424 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.3491 0.35994 0.004 0.228 0.000 0.000 0.768
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.3203 0.71531 0.000 0.012 0.168 0.820 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 5 0.4162 0.41558 0.004 0.312 0.004 0.000 0.680
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 5 0.4512 0.40613 0.004 0.300 0.020 0.000 0.676
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.7064 0.17564 0.004 0.356 0.284 0.004 0.352
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.2208 0.92468 0.908 0.000 0.020 0.072 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.3521 0.35802 0.004 0.232 0.000 0.000 0.764
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 3 0.6890 -0.22004 0.004 0.292 0.404 0.000 0.300
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 5 0.4178 0.42212 0.004 0.292 0.008 0.000 0.696
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.2208 0.92468 0.908 0.000 0.020 0.072 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 5 0.4617 0.41433 0.008 0.316 0.016 0.000 0.660
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.4200 0.24501 0.004 0.320 0.004 0.000 0.672
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.5554 0.32795 0.008 0.532 0.052 0.000 0.408
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.2723 0.79440 0.012 0.000 0.124 0.864 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.3714 0.59728 0.132 0.000 0.812 0.056 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 5 0.5114 0.28776 0.004 0.404 0.032 0.000 0.560
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.6600 -0.38823 0.008 0.400 0.140 0.004 0.448
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.2592 0.63555 0.052 0.000 0.892 0.056 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.1917 0.46350 0.004 0.036 0.016 0.008 0.936
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.2708 0.63055 0.072 0.000 0.884 0.044 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.2144 0.92825 0.912 0.000 0.020 0.068 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 5 0.4375 0.09055 0.000 0.420 0.004 0.000 0.576
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.1831 0.47562 0.004 0.076 0.000 0.000 0.920
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.6144 0.49177 0.008 0.172 0.228 0.592 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 3 0.4464 0.48796 0.000 0.288 0.684 0.028 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.4100 0.55730 0.192 0.000 0.764 0.044 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 5 0.3561 0.32957 0.000 0.260 0.000 0.000 0.740
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 5 0.4744 0.10203 0.000 0.408 0.020 0.000 0.572
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.4066 0.55884 0.188 0.000 0.768 0.044 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.4541 0.52419 0.000 0.288 0.680 0.032 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 5 0.3521 0.35760 0.004 0.232 0.000 0.000 0.764
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 5 0.4442 0.40863 0.004 0.304 0.016 0.000 0.676
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 5 0.2179 0.44974 0.004 0.100 0.000 0.000 0.896
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 5 0.4749 0.39502 0.004 0.300 0.024 0.004 0.668
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.1845 0.64329 0.000 0.016 0.928 0.056 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.3786 0.53603 0.000 0.204 0.776 0.016 0.004
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 5 0.5979 0.11494 0.004 0.216 0.100 0.028 0.652
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 5 0.1768 0.47165 0.004 0.072 0.000 0.000 0.924
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 5 0.4030 0.18954 0.000 0.352 0.000 0.000 0.648
#> F1565477-7479-4777-BD07-C6480B421166 5 0.3819 0.40569 0.004 0.052 0.064 0.036 0.844
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 5 0.1282 0.46533 0.004 0.044 0.000 0.000 0.952
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#> 397C8251-A0C6-40DC-AB16-86881797473B 5 0.4512 0.40832 0.004 0.300 0.020 0.000 0.676
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.6027 0.48037 0.008 0.248 0.144 0.600 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.4582 0.09145 0.000 0.416 0.012 0.000 0.572
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.7109 0.38152 0.008 0.444 0.184 0.016 0.348
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.0963 0.80727 0.036 0.000 0.000 0.964 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 5 0.5861 0.22242 0.004 0.388 0.088 0.000 0.520
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.5773 -0.06635 0.000 0.436 0.088 0.000 0.476
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.1502 0.95288 0.940 0.000 0.004 0.056 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3266 0.37992 0.004 0.200 0.000 0.000 0.796
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 5 0.4949 0.39391 0.004 0.296 0.044 0.000 0.656
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 5 0.6258 0.10805 0.004 0.424 0.088 0.012 0.472
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0404 0.81825 0.000 0.000 0.012 0.988 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.5554 0.49968 0.000 0.312 0.616 0.052 0.020
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2011 0.92479 0.908 0.000 0.004 0.088 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.4413 0.51473 0.232 0.000 0.724 0.044 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.4398 0.50579 0.240 0.000 0.720 0.040 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.3521 0.38173 0.004 0.232 0.000 0.000 0.764
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5754 0.01404 0.004 0.564 0.088 0.000 0.344
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.4492 0.41168 0.004 0.296 0.020 0.000 0.680
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.5457 0.33029 0.000 0.460 0.480 0.060 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.3816 0.54730 0.304 0.000 0.000 0.696 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6479 0.44175 0.008 0.552 0.144 0.008 0.288
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.6918 0.42396 0.008 0.456 0.148 0.016 0.372
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.1270 0.80415 0.000 0.000 0.052 0.948 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.4306 0.47183 0.000 0.328 0.660 0.000 0.012
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.4590 0.08296 0.000 0.420 0.012 0.000 0.568
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.6086 0.53902 0.076 0.248 0.628 0.048 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.5578 0.35753 0.004 0.260 0.104 0.000 0.632
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5201 0.15864 0.000 0.044 0.424 0.532 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.5870 0.31946 0.004 0.276 0.124 0.000 0.596
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.6770 0.34485 0.008 0.472 0.228 0.000 0.292
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.2764 0.44803 0.004 0.072 0.020 0.012 0.892
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.5100 0.37072 0.000 0.372 0.592 0.024 0.012
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5499 0.09097 0.000 0.532 0.068 0.000 0.400
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.4512 0.41256 0.004 0.300 0.020 0.000 0.676
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.4422 0.41099 0.004 0.300 0.016 0.000 0.680
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.1121 0.80791 0.000 0.000 0.044 0.956 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.6374 0.26011 0.000 0.512 0.208 0.000 0.280
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1251 0.80827 0.036 0.000 0.008 0.956 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.1710 0.46080 0.004 0.040 0.016 0.000 0.940
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5949 0.08526 0.000 0.348 0.532 0.000 0.120
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2623 0.80061 0.016 0.004 0.096 0.884 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1341 0.95517 0.944 0.000 0.000 0.056 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.3487 0.37151 0.008 0.212 0.000 0.000 0.780
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0162 0.81934 0.004 0.000 0.000 0.996 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.4582 0.09145 0.000 0.416 0.012 0.000 0.572
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3242 0.52413 0.000 0.216 0.784 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 5 0.4422 0.41099 0.004 0.300 0.016 0.000 0.680
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.4617 0.06281 0.000 0.436 0.012 0.000 0.552
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 5 0.4370 0.41375 0.004 0.332 0.008 0.000 0.656
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 5 0.4280 0.41554 0.008 0.312 0.004 0.000 0.676
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3932 0.24464 0.000 0.328 0.000 0.000 0.672
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.4924 0.05247 0.000 0.420 0.028 0.000 0.552
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4849 0.27941 0.000 0.360 0.608 0.000 0.032
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.6133 -0.05821 0.000 0.476 0.100 0.008 0.416
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1320 0.91725 0.948 0.000 0.000 0.016 0.036 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1346 0.84342 0.008 0.000 0.000 0.952 0.016 0.024
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5051 0.62878 0.000 0.652 0.156 0.000 0.004 0.188
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.7233 0.22791 0.000 0.152 0.028 0.104 0.212 0.504
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0777 0.71167 0.000 0.000 0.972 0.000 0.004 0.024
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0363 0.84195 0.000 0.000 0.000 0.988 0.012 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.5057 0.62669 0.000 0.652 0.164 0.000 0.004 0.180
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0547 0.93491 0.980 0.000 0.000 0.020 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4377 0.54689 0.300 0.000 0.000 0.660 0.008 0.032
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 5 0.0837 0.71052 0.004 0.000 0.000 0.020 0.972 0.004
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.5765 -0.21407 0.000 0.000 0.000 0.184 0.344 0.472
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.1010 0.70571 0.000 0.000 0.960 0.000 0.004 0.036
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1511 0.83873 0.012 0.000 0.000 0.944 0.012 0.032
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4994 0.28960 0.016 0.336 0.596 0.000 0.000 0.052
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.2624 0.68560 0.016 0.880 0.080 0.000 0.000 0.024
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1049 0.84018 0.000 0.000 0.000 0.960 0.008 0.032
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0972 0.70642 0.000 0.964 0.028 0.000 0.000 0.008
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.4762 0.36911 0.000 0.076 0.272 0.000 0.004 0.648
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5442 0.41660 0.016 0.552 0.344 0.000 0.000 0.088
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0935 0.70762 0.000 0.000 0.964 0.000 0.004 0.032
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5641 0.34857 0.000 0.620 0.076 0.000 0.064 0.240
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0260 0.69780 0.000 0.992 0.000 0.000 0.000 0.008
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.1983 0.89034 0.908 0.000 0.000 0.020 0.072 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.4716 0.41709 0.016 0.280 0.656 0.000 0.000 0.048
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.1265 0.70493 0.000 0.008 0.948 0.000 0.000 0.044
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.2076 0.69631 0.016 0.912 0.060 0.000 0.000 0.012
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0935 0.70762 0.000 0.000 0.964 0.000 0.004 0.032
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 5 0.5523 0.13095 0.000 0.016 0.084 0.000 0.488 0.412
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4865 0.63502 0.000 0.676 0.176 0.000 0.004 0.144
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.1219 0.70263 0.000 0.000 0.948 0.000 0.004 0.048
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1257 0.83613 0.000 0.000 0.000 0.952 0.020 0.028
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0767 0.70202 0.008 0.976 0.012 0.000 0.000 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0520 0.70036 0.000 0.984 0.008 0.000 0.000 0.008
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.4590 0.38900 0.000 0.088 0.148 0.000 0.028 0.736
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0881 0.84290 0.008 0.000 0.000 0.972 0.012 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.4938 0.63085 0.000 0.664 0.136 0.000 0.004 0.196
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.4104 0.56235 0.016 0.208 0.740 0.000 0.000 0.036
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 5 0.1564 0.71331 0.040 0.000 0.000 0.024 0.936 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.1297 0.69994 0.000 0.000 0.948 0.000 0.012 0.040
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0520 0.70040 0.000 0.984 0.008 0.000 0.000 0.008
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.1913 0.68680 0.000 0.080 0.908 0.000 0.000 0.012
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4411 0.54303 0.012 0.692 0.260 0.000 0.004 0.032
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0363 0.69589 0.000 0.988 0.000 0.000 0.000 0.012
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 6 0.7203 0.31055 0.000 0.348 0.124 0.000 0.164 0.364
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 5 0.4482 0.48878 0.016 0.000 0.000 0.020 0.628 0.336
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.5285 0.42756 0.000 0.188 0.188 0.000 0.004 0.620
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4199 0.20160 0.000 0.016 0.568 0.000 0.000 0.416
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.4517 0.07311 0.000 0.024 0.444 0.000 0.004 0.528
#> 8D7800F8-0072-43E9-AC51-392908996F7D 6 0.7179 0.25555 0.000 0.256 0.060 0.012 0.260 0.412
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1251 0.84076 0.008 0.000 0.000 0.956 0.012 0.024
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.4936 0.34978 0.008 0.000 0.000 0.536 0.048 0.408
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0717 0.70081 0.000 0.976 0.008 0.000 0.000 0.016
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0146 0.84261 0.000 0.000 0.000 0.996 0.004 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.2815 0.61644 0.000 0.120 0.848 0.000 0.000 0.032
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.6640 0.00206 0.000 0.512 0.164 0.000 0.084 0.240
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.6061 0.17273 0.016 0.000 0.000 0.424 0.156 0.404
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0665 0.84370 0.008 0.000 0.000 0.980 0.008 0.004
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0405 0.84122 0.000 0.000 0.000 0.988 0.008 0.004
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.5416 0.37949 0.016 0.536 0.368 0.000 0.000 0.080
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2051 0.83539 0.008 0.000 0.000 0.916 0.036 0.040
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1699 0.83737 0.016 0.000 0.000 0.936 0.016 0.032
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.2712 0.66869 0.000 0.088 0.864 0.000 0.000 0.048
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.5013 0.62950 0.000 0.656 0.148 0.000 0.004 0.192
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.2278 0.82623 0.052 0.000 0.000 0.904 0.012 0.032
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.5790 -0.13715 0.000 0.492 0.120 0.000 0.016 0.372
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1078 0.70062 0.012 0.964 0.016 0.000 0.000 0.008
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.2476 0.81836 0.072 0.000 0.000 0.888 0.008 0.032
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.0891 0.70828 0.000 0.024 0.968 0.000 0.000 0.008
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.4840 0.43240 0.000 0.104 0.712 0.000 0.028 0.156
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 6 0.6545 -0.08659 0.000 0.004 0.028 0.196 0.348 0.424
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.6104 0.16641 0.000 0.012 0.364 0.000 0.440 0.184
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0405 0.71311 0.000 0.008 0.988 0.000 0.000 0.004
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0146 0.69833 0.000 0.996 0.000 0.000 0.000 0.004
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 5 0.0837 0.71052 0.004 0.000 0.000 0.020 0.972 0.004
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.4760 0.13595 0.464 0.000 0.000 0.496 0.008 0.032
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0547 0.69630 0.000 0.980 0.000 0.000 0.000 0.020
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
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#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.4990 0.49704 0.000 0.000 0.000 0.636 0.232 0.132
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.5390 0.42785 0.016 0.560 0.340 0.000 0.000 0.084
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.1657 0.70365 0.000 0.928 0.056 0.000 0.000 0.016
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.5768 0.32629 0.000 0.000 0.008 0.548 0.248 0.196
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.5046 0.62880 0.000 0.652 0.152 0.000 0.004 0.192
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 5 0.1408 0.71514 0.036 0.000 0.000 0.020 0.944 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.5635 -0.27655 0.000 0.440 0.128 0.000 0.004 0.428
#> 41445787-7763-458C-9FC9-744922C0FD8F 6 0.5417 0.13887 0.000 0.004 0.000 0.264 0.148 0.584
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.1590 0.70041 0.000 0.008 0.936 0.000 0.008 0.048
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.3450 0.66967 0.000 0.780 0.188 0.000 0.000 0.032
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.2344 0.83462 0.008 0.000 0.000 0.896 0.028 0.068
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0146 0.69969 0.000 0.996 0.004 0.000 0.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0363 0.69589 0.000 0.988 0.000 0.000 0.000 0.012
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.1082 0.70587 0.000 0.000 0.956 0.000 0.004 0.040
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 6 0.4807 0.06521 0.000 0.000 0.004 0.392 0.048 0.556
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.4957 0.63243 0.000 0.664 0.148 0.000 0.004 0.184
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.5066 0.46237 0.008 0.000 0.000 0.624 0.276 0.092
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.5258 0.30437 0.016 0.516 0.408 0.000 0.000 0.060
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 3 0.5087 0.29241 0.016 0.332 0.592 0.000 0.000 0.060
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 6 0.4571 0.10109 0.000 0.028 0.432 0.000 0.004 0.536
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.4407 0.70099 0.188 0.000 0.000 0.732 0.020 0.060
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0291 0.70031 0.000 0.992 0.004 0.000 0.000 0.004
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 3 0.5272 -0.00365 0.016 0.420 0.504 0.000 0.000 0.060
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4143 0.58108 0.016 0.692 0.276 0.000 0.000 0.016
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.5687 0.52211 0.000 0.548 0.160 0.000 0.008 0.284
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.5999 0.23666 0.000 0.564 0.092 0.000 0.064 0.280
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.4932 0.63242 0.000 0.668 0.152 0.000 0.004 0.176
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0146 0.69969 0.000 0.996 0.004 0.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 5 0.6332 0.35382 0.000 0.004 0.024 0.212 0.504 0.256
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.4549 0.60381 0.000 0.680 0.232 0.000 0.000 0.088
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.5381 0.37588 0.016 0.536 0.372 0.000 0.000 0.076
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.1989 0.67158 0.000 0.916 0.028 0.000 0.004 0.052
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1261 0.70494 0.000 0.952 0.024 0.000 0.000 0.024
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4715 0.13920 0.544 0.000 0.000 0.416 0.008 0.032
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.6981 0.21117 0.012 0.484 0.208 0.000 0.068 0.228
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0665 0.70167 0.000 0.980 0.008 0.000 0.004 0.008
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.2724 0.82943 0.032 0.000 0.000 0.880 0.024 0.064
#> E1744D91-44AA-4269-B057-D1B620278604 6 0.6881 0.35470 0.000 0.332 0.120 0.000 0.116 0.432
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 5 0.1564 0.71331 0.040 0.000 0.000 0.024 0.936 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 6 0.7133 0.37246 0.000 0.260 0.120 0.004 0.160 0.456
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.5757 0.46848 0.000 0.516 0.152 0.000 0.008 0.324
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.5819 0.25811 0.000 0.032 0.596 0.000 0.168 0.204
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 5 0.4482 0.48878 0.016 0.000 0.000 0.020 0.628 0.336
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0717 0.70149 0.000 0.976 0.016 0.000 0.000 0.008
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.0914 0.71246 0.000 0.016 0.968 0.000 0.000 0.016
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 6 0.7610 0.16243 0.000 0.096 0.032 0.248 0.196 0.428
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.4911 0.07801 0.000 0.000 0.000 0.384 0.068 0.548
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.1584 0.69409 0.000 0.008 0.928 0.000 0.000 0.064
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.4543 0.28064 0.000 0.684 0.052 0.000 0.012 0.252
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.1500 0.69427 0.000 0.000 0.936 0.000 0.012 0.052
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.4917 0.63232 0.000 0.668 0.140 0.000 0.004 0.188
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.3555 0.59510 0.000 0.040 0.776 0.000 0.000 0.184
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0820 0.69596 0.000 0.972 0.016 0.000 0.000 0.012
#> C5B99B79-067A-48F9-95E4-35770562E686 5 0.4782 0.50011 0.036 0.000 0.000 0.020 0.624 0.320
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 5 0.1257 0.71510 0.028 0.000 0.000 0.020 0.952 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.5263 0.30108 0.016 0.512 0.412 0.000 0.000 0.060
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.1625 0.68805 0.000 0.000 0.928 0.000 0.012 0.060
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0717 0.69428 0.000 0.976 0.008 0.000 0.000 0.016
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.2279 0.83478 0.024 0.000 0.000 0.904 0.016 0.056
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0405 0.84122 0.000 0.000 0.000 0.988 0.008 0.004
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1251 0.84076 0.008 0.000 0.000 0.956 0.012 0.024
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 5 0.0837 0.71052 0.004 0.000 0.000 0.020 0.972 0.004
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.4815 0.45861 0.016 0.256 0.664 0.000 0.000 0.064
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1874 0.69404 0.016 0.928 0.028 0.000 0.000 0.028
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0260 0.69721 0.000 0.992 0.000 0.000 0.000 0.008
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4446 0.47704 0.000 0.000 0.000 0.612 0.040 0.348
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0291 0.71310 0.000 0.004 0.992 0.000 0.004 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.4888 0.29050 0.000 0.036 0.352 0.000 0.020 0.592
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1409 0.83878 0.008 0.000 0.000 0.948 0.012 0.032
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4209 0.52357 0.000 0.740 0.048 0.000 0.016 0.196
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.2420 0.62891 0.000 0.004 0.864 0.000 0.004 0.128
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.5063 0.20976 0.016 0.360 0.572 0.000 0.000 0.052
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1141 0.68704 0.000 0.948 0.000 0.000 0.000 0.052
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.5838 0.09575 0.000 0.564 0.084 0.000 0.052 0.300
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.5701 0.01049 0.000 0.004 0.080 0.024 0.372 0.520
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.1444 0.88333 0.928 0.000 0.000 0.072 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 5 0.1564 0.71364 0.040 0.000 0.000 0.024 0.936 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 5 0.1633 0.71069 0.044 0.000 0.000 0.024 0.932 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.5001 0.19741 0.016 0.380 0.560 0.000 0.000 0.044
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6092 0.11564 0.000 0.312 0.504 0.000 0.024 0.160
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0405 0.69972 0.000 0.988 0.004 0.000 0.000 0.008
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.7268 0.27678 0.000 0.172 0.056 0.064 0.196 0.512
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.4811 0.17988 0.448 0.000 0.000 0.508 0.008 0.036
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.5999 0.40389 0.000 0.312 0.220 0.000 0.004 0.464
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.5931 0.40312 0.000 0.292 0.216 0.000 0.004 0.488
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.1549 0.83212 0.000 0.000 0.000 0.936 0.020 0.044
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.6267 -0.26542 0.000 0.008 0.380 0.000 0.356 0.256
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0405 0.71240 0.000 0.000 0.988 0.000 0.004 0.008
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 5 0.4546 0.47467 0.016 0.000 0.000 0.020 0.608 0.356
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2932 0.63939 0.000 0.836 0.004 0.000 0.020 0.140
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.6490 0.02877 0.000 0.008 0.016 0.448 0.228 0.300
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.4715 0.49851 0.000 0.696 0.040 0.000 0.040 0.224
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.5137 0.19319 0.000 0.004 0.416 0.000 0.072 0.508
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5171 0.62119 0.000 0.640 0.136 0.000 0.008 0.216
#> 18D832D1-14AD-4E0C-B051-566D9554A968 6 0.6910 0.29446 0.000 0.224 0.060 0.012 0.216 0.488
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.4393 0.47046 0.000 0.096 0.740 0.000 0.012 0.152
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0806 0.70083 0.000 0.972 0.020 0.000 0.000 0.008
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0665 0.70023 0.008 0.980 0.004 0.000 0.000 0.008
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0820 0.83858 0.000 0.000 0.000 0.972 0.012 0.016
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.5495 0.34179 0.000 0.096 0.652 0.000 0.056 0.196
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1605 0.83798 0.016 0.000 0.000 0.940 0.012 0.032
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5113 0.62515 0.000 0.644 0.164 0.000 0.004 0.188
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5411 0.15915 0.000 0.000 0.560 0.000 0.288 0.152
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2207 0.83817 0.008 0.000 0.000 0.900 0.016 0.076
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0458 0.93798 0.984 0.000 0.000 0.016 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.5123 0.24604 0.016 0.344 0.580 0.000 0.000 0.060
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0260 0.84213 0.000 0.000 0.000 0.992 0.008 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0603 0.71219 0.000 0.004 0.980 0.000 0.000 0.016
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.6317 0.13077 0.000 0.020 0.388 0.000 0.396 0.196
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0520 0.70119 0.000 0.984 0.008 0.000 0.000 0.008
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.1074 0.70994 0.000 0.012 0.960 0.000 0.000 0.028
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2495 0.68536 0.016 0.892 0.060 0.000 0.000 0.032
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1167 0.70051 0.012 0.960 0.020 0.000 0.000 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4891 0.34558 0.008 0.312 0.616 0.000 0.000 0.064
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.1219 0.70023 0.000 0.000 0.948 0.000 0.004 0.048
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5027 0.32295 0.000 0.000 0.640 0.000 0.200 0.160
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5249 0.28440 0.000 0.640 0.140 0.000 0.012 0.208
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.986 0.994 0.4719 0.527 0.527
#> 3 3 0.692 0.788 0.880 0.2842 0.853 0.730
#> 4 4 0.796 0.796 0.918 0.1572 0.814 0.586
#> 5 5 0.745 0.711 0.860 0.1024 0.854 0.565
#> 6 6 0.706 0.613 0.791 0.0491 0.935 0.734
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.988 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.988 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.988 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.998 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.988 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.998 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.988 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.998 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.988 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.988 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.2236 0.954 0.964 0.036
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.988 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.998 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.988 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.998 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.998 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.988 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.998 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.998 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.998 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.998 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.998 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.998 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.988 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.998 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.998 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.998 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.998 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0000 0.998 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.998 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.998 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.988 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.998 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.998 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.998 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.988 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.998 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.998 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.988 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.998 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.998 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.998 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.998 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.998 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.988 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.998 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.988 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.998 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.988 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.998 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.998 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.6148 0.823 0.848 0.152
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.988 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.988 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.988 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.998 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.988 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.998 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.998 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.988 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.988 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.988 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.998 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.988 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.988 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.998 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.998 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.988 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.988 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.998 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.988 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.998 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.988 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.988 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.998 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.998 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.3733 0.918 0.928 0.072
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.998 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.988 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.998 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.998 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.988 1.000 0.000
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#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.988 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.988 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.988 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.998 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.988 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.998 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.8081 0.679 0.752 0.248
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.998 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.988 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.998 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.998 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.9933 0.197 0.548 0.452
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.988 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.998 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.998 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.998 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.988 1.000 0.000
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#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.998 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.998 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.988 1.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.988 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.998 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.998 0.000 1.000
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#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.998 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.988 1.000 0.000
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#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.998 0.000 1.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.998 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.998 0.000 1.000
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#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0000 0.998 0.000 1.000
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#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.0000 0.998 0.000 1.000
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#> FB6DF66B-78C8-46C0-AC38-12827F9CEE1E 2 0.0000 0.998 0.000 1.000
#> 3FFCB13B-6E8C-49E8-835A-F1AD78A1108C 2 0.0000 0.998 0.000 1.000
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#> CF674380-93D3-47C5-A5D3-53413155C0A1 2 0.0000 0.998 0.000 1.000
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#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0000 0.998 0.000 1.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.998 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.0000 0.998 0.000 1.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.988 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.998 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.998 0.000 1.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.998 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.998 0.000 1.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.988 1.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.988 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.988 1.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.998 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.998 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.988 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.998 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.988 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.998 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0000 0.988 1.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0000 0.998 0.000 1.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.998 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.988 1.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.998 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.998 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.998 0.000 1.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.4939 0.878 0.892 0.108
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.998 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.988 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.998 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.998 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.998 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.988 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.998 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.988 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.998 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.998 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.998 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.998 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.998 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.998 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.988 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.998 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.998 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.998 0.000 1.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.998 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.988 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.998 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.998 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.988 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.998 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.988 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.998 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.998 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.998 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.9661 0.349 0.392 0.608
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.998 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.998 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.988 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.988 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.998 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.998 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.998 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.998 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.998 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.998 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.988 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.988 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.988 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.998 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.998 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.998 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.988 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.988 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.988 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.988 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.998 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.998 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.998 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.988 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.988 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.998 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.998 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.988 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.998 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.998 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.988 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.998 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.998 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.998 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.988 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.988 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.998 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.988 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.988 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.988 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.998 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.998 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.988 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.998 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.2778 0.943 0.952 0.048
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.988 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.998 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.998 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.988 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.998 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.998 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.0000 0.988 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.998 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.988 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.988 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.998 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.998 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.998 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.7528 0.731 0.784 0.216
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.998 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.998 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.998 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.988 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.998 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.988 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.998 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.998 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.988 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.988 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.998 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.988 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.998 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.998 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.998 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.998 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.998 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.998 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.998 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.998 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.998 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.998 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.903270 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0424 0.901207 0.992 0.000 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.903270 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0892 0.864633 0.000 0.980 0.020
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.6659 0.651855 0.668 0.028 0.304
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5291 0.506807 0.000 0.732 0.268
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.903270 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.865644 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.903270 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.903270 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.6633 0.571514 0.260 0.040 0.700
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.5397 0.700616 0.720 0.000 0.280
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.5591 0.814606 0.000 0.304 0.696
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0237 0.902389 0.996 0.000 0.004
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.1031 0.859329 0.000 0.976 0.024
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0424 0.864437 0.000 0.992 0.008
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0424 0.900716 0.992 0.000 0.008
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0892 0.864987 0.000 0.980 0.020
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.5650 0.626830 0.000 0.688 0.312
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0747 0.862268 0.000 0.984 0.016
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5560 0.816001 0.000 0.300 0.700
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1643 0.856980 0.000 0.956 0.044
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1643 0.856980 0.000 0.956 0.044
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.903270 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.1411 0.853285 0.000 0.964 0.036
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.1860 0.841684 0.000 0.948 0.052
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.865644 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.5591 0.814606 0.000 0.304 0.696
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.5291 0.814566 0.000 0.268 0.732
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0592 0.863480 0.000 0.988 0.012
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.5591 0.814606 0.000 0.304 0.696
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.5986 0.691564 0.704 0.012 0.284
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.3482 0.801472 0.000 0.872 0.128
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.5363 0.662015 0.000 0.724 0.276
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.5678 0.622765 0.000 0.684 0.316
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.903270 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1289 0.861760 0.000 0.968 0.032
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.1964 0.838328 0.000 0.944 0.056
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0237 0.901367 0.996 0.000 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.5560 0.816001 0.000 0.300 0.700
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0237 0.865891 0.000 0.996 0.004
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.1964 0.838328 0.000 0.944 0.056
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1031 0.859329 0.000 0.976 0.024
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.4291 0.756569 0.000 0.820 0.180
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.903270 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1289 0.863768 0.000 0.968 0.032
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.3038 0.565334 0.104 0.000 0.896
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.5678 0.622765 0.000 0.684 0.316
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.903270 1.000 0.000 0.000
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#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.1163 0.857610 0.000 0.972 0.028
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.1163 0.857610 0.000 0.972 0.028
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.5178 0.667400 0.000 0.744 0.256
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.903270 1.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.1411 0.860376 0.000 0.964 0.036
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.903270 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0747 0.862268 0.000 0.984 0.016
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0747 0.862268 0.000 0.984 0.016
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1163 0.862986 0.000 0.972 0.028
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.1170 0.865016 0.008 0.976 0.016
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.865644 0.000 1.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1643 0.856980 0.000 0.956 0.044
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.903270 1.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0592 0.863480 0.000 0.988 0.012
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0424 0.864437 0.000 0.992 0.008
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.5397 0.657551 0.000 0.720 0.280
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1289 0.861760 0.000 0.968 0.032
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.903270 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.1289 0.855604 0.000 0.968 0.032
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.1643 0.856980 0.000 0.956 0.044
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.903270 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.5650 0.626830 0.000 0.688 0.312
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.1529 0.877122 0.960 0.000 0.040
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5678 0.622765 0.000 0.684 0.316
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1529 0.858802 0.000 0.960 0.040
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.5560 0.816001 0.000 0.300 0.700
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.3148 0.670406 0.036 0.048 0.916
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0892 0.864633 0.000 0.980 0.020
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.1529 0.851891 0.000 0.960 0.040
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.3375 0.845896 0.908 0.048 0.044
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.7718 0.578354 0.612 0.068 0.320
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.5016 0.703569 0.000 0.760 0.240
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5591 0.634577 0.000 0.696 0.304
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.5591 0.814606 0.000 0.304 0.696
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.865644 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.1411 0.853285 0.000 0.964 0.036
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.5397 0.657551 0.000 0.720 0.280
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.3267 0.836935 0.884 0.000 0.116
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.903270 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.5785 0.448189 0.332 0.000 0.668
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0747 0.862268 0.000 0.984 0.016
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.5591 0.814606 0.000 0.304 0.696
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.5327 0.665601 0.000 0.728 0.272
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.2711 0.856295 0.912 0.000 0.088
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.3682 0.836558 0.876 0.008 0.116
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0237 0.902389 0.996 0.000 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.5785 0.448189 0.332 0.000 0.668
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.1411 0.853285 0.000 0.964 0.036
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.865644 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1643 0.856980 0.000 0.956 0.044
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.6541 0.656566 0.672 0.024 0.304
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.903270 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5397 0.427908 0.000 0.720 0.280
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.5835 0.593745 0.000 0.660 0.340
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.903270 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1860 0.853355 0.000 0.948 0.052
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4974 0.556010 0.000 0.764 0.236
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.903270 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.1289 0.855604 0.000 0.968 0.032
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1643 0.856980 0.000 0.956 0.044
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.5591 0.634577 0.000 0.696 0.304
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.4452 0.783687 0.808 0.000 0.192
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.903270 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.5497 0.458330 0.000 0.292 0.708
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.903270 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.903270 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0747 0.894206 0.984 0.000 0.016
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.1031 0.859329 0.000 0.976 0.024
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1163 0.857777 0.000 0.972 0.028
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1289 0.889256 0.968 0.000 0.032
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1289 0.861760 0.000 0.968 0.032
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.9515 0.328891 0.480 0.216 0.304
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.903270 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.5591 0.634577 0.000 0.696 0.304
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5591 0.634577 0.000 0.696 0.304
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.4136 0.826626 0.864 0.020 0.116
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5216 0.811283 0.000 0.260 0.740
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.4796 0.584857 0.000 0.780 0.220
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.2261 0.591056 0.068 0.000 0.932
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0892 0.864633 0.000 0.980 0.020
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.2878 0.855691 0.904 0.000 0.096
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.2173 0.876169 0.944 0.008 0.048
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0592 0.863480 0.000 0.988 0.012
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.2066 0.673836 0.000 0.060 0.940
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1163 0.862990 0.000 0.972 0.028
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.9874 0.186176 0.412 0.284 0.304
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1411 0.853699 0.000 0.964 0.036
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1289 0.861760 0.000 0.968 0.032
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0892 0.864633 0.000 0.980 0.020
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3846 0.835461 0.876 0.016 0.108
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5098 0.518308 0.000 0.752 0.248
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.903270 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1289 0.861760 0.000 0.968 0.032
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5591 0.814606 0.000 0.304 0.696
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0237 0.902389 0.996 0.000 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.903270 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0592 0.863611 0.000 0.988 0.012
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.903270 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.6299 -0.367085 0.000 0.524 0.476
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.5431 0.818012 0.000 0.284 0.716
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1411 0.860376 0.000 0.964 0.036
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.2165 0.845772 0.000 0.936 0.064
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0424 0.864437 0.000 0.992 0.008
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1643 0.856980 0.000 0.956 0.044
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.1163 0.857610 0.000 0.972 0.028
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.6180 0.650513 0.000 0.416 0.584
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5591 0.814606 0.000 0.304 0.696
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5560 0.639324 0.000 0.700 0.300
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0336 0.93388 0.992 0.000 0.000 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.4072 0.63464 0.000 0.748 0.252 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.1824 0.73459 0.004 0.000 0.060 0.936
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4855 0.30917 0.600 0.000 0.000 0.400
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.4830 0.34823 0.000 0.392 0.000 0.608
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0188 0.87505 0.000 0.004 0.996 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.2469 0.83309 0.000 0.892 0.000 0.108
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0188 0.92598 0.000 0.996 0.004 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.1792 0.83812 0.000 0.068 0.932 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3569 0.71821 0.000 0.196 0.804 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0707 0.76696 0.020 0.000 0.000 0.980
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.4817 0.32705 0.000 0.612 0.000 0.388
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4382 0.56578 0.000 0.704 0.000 0.296
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.4746 0.38854 0.000 0.368 0.000 0.632
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 4 0.4713 0.40506 0.000 0.360 0.000 0.640
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0188 0.87426 0.000 0.000 0.996 0.004
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4114 0.77285 0.000 0.828 0.112 0.060
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.4585 0.47360 0.000 0.668 0.000 0.332
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.1022 0.76083 0.032 0.000 0.000 0.968
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4830 0.32950 0.608 0.000 0.000 0.392
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.3649 0.71965 0.000 0.796 0.000 0.204
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3400 0.73294 0.820 0.000 0.000 0.180
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#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.4843 0.31540 0.000 0.604 0.000 0.396
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0188 0.92570 0.000 0.996 0.000 0.004
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.3311 0.75953 0.000 0.828 0.000 0.172
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.0817 0.76405 0.000 0.024 0.000 0.976
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0592 0.91734 0.000 0.984 0.000 0.016
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.1940 0.83107 0.000 0.076 0.924 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.4977 0.18088 0.000 0.540 0.460 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.4855 0.30928 0.400 0.000 0.000 0.600
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4391 0.64619 0.000 0.252 0.740 0.008
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.1557 0.73944 0.000 0.056 0.000 0.944
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0376 0.92404 0.000 0.992 0.004 0.004
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 4 0.0592 0.76830 0.000 0.016 0.000 0.984
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.2149 0.85386 0.912 0.000 0.088 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0336 0.87212 0.008 0.000 0.992 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 4 0.4564 0.47171 0.000 0.328 0.000 0.672
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.4624 0.41807 0.660 0.000 0.000 0.340
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3444 0.66805 0.184 0.000 0.000 0.816
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0188 0.93705 0.996 0.000 0.000 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.4605 0.49922 0.336 0.000 0.664 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.3975 0.66374 0.000 0.760 0.000 0.240
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 4 0.7338 0.17214 0.000 0.404 0.156 0.440
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4830 0.34479 0.000 0.608 0.000 0.392
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4761 0.37930 0.000 0.628 0.372 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0707 0.91422 0.000 0.980 0.000 0.020
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.0469 0.76983 0.000 0.012 0.000 0.988
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3266 0.67021 0.168 0.000 0.000 0.832
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.7273 0.19065 0.000 0.148 0.452 0.400
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0188 0.92598 0.000 0.996 0.004 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.4998 0.03389 0.512 0.000 0.000 0.488
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.4898 0.28902 0.000 0.416 0.000 0.584
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.4916 0.26788 0.000 0.424 0.000 0.576
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.3528 0.66231 0.192 0.000 0.000 0.808
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0469 0.92119 0.000 0.988 0.012 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.2216 0.81171 0.000 0.000 0.908 0.092
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3764 0.63537 0.216 0.000 0.000 0.784
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4855 0.30848 0.400 0.000 0.000 0.600
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0469 0.87086 0.000 0.000 0.988 0.012
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.0000 0.77494 0.000 0.000 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4888 0.32612 0.000 0.588 0.412 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3801 0.63050 0.220 0.000 0.000 0.780
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0188 0.92598 0.000 0.996 0.004 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.94028 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0921 0.91534 0.972 0.000 0.000 0.028
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0336 0.92374 0.000 0.992 0.008 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.1004 0.86275 0.000 0.004 0.972 0.024
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3486 0.73925 0.000 0.812 0.000 0.188
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.92808 0.000 1.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.87600 0.000 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.4713 0.41868 0.000 0.360 0.000 0.640
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2813 0.79392 0.832 0.000 0.000 0.168 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0324 0.90532 0.000 0.004 0.000 0.004 0.992
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4278 -0.07634 0.000 0.548 0.000 0.452 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.0771 0.89700 0.000 0.004 0.000 0.020 0.976
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2588 0.83467 0.892 0.060 0.000 0.048 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0324 0.90532 0.000 0.004 0.000 0.004 0.992
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0703 0.87470 0.976 0.000 0.000 0.024 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.1524 0.65530 0.016 0.016 0.016 0.952 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0162 0.83800 0.000 0.004 0.996 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0794 0.87403 0.972 0.000 0.000 0.028 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.0703 0.90446 0.000 0.024 0.000 0.000 0.976
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3480 0.64554 0.000 0.752 0.000 0.000 0.248
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4781 0.39814 0.552 0.020 0.000 0.428 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.0703 0.90417 0.000 0.024 0.000 0.000 0.976
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.5264 0.21402 0.000 0.052 0.000 0.556 0.392
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0000 0.90555 0.000 0.000 0.000 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3177 0.70324 0.000 0.000 0.792 0.000 0.208
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3018 0.77127 0.024 0.876 0.000 0.020 0.080
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1544 0.78549 0.000 0.932 0.000 0.000 0.068
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0000 0.90555 0.000 0.000 0.000 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.0162 0.90439 0.000 0.000 0.000 0.004 0.996
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.3336 0.68753 0.000 0.228 0.000 0.000 0.772
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4306 0.09638 0.000 0.000 0.508 0.000 0.492
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0510 0.90567 0.000 0.016 0.000 0.000 0.984
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2361 0.79338 0.000 0.012 0.892 0.000 0.096
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1117 0.65986 0.020 0.016 0.000 0.964 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0798 0.77433 0.000 0.976 0.000 0.016 0.008
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2012 0.75763 0.000 0.920 0.000 0.060 0.020
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.3210 0.60338 0.000 0.212 0.000 0.788 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.1341 0.86584 0.944 0.000 0.000 0.056 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0324 0.90532 0.000 0.004 0.000 0.004 0.992
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.0404 0.90656 0.000 0.012 0.000 0.000 0.988
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0609 0.86787 0.980 0.000 0.000 0.020 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.4060 0.48783 0.000 0.640 0.000 0.000 0.360
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.0880 0.90103 0.000 0.032 0.000 0.000 0.968
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3895 0.56350 0.000 0.680 0.000 0.000 0.320
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0510 0.76828 0.000 0.984 0.000 0.016 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
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#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.3966 0.53807 0.000 0.664 0.000 0.000 0.336
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 5 0.1043 0.88240 0.000 0.000 0.000 0.040 0.960
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 3 0.4193 0.67632 0.000 0.000 0.748 0.040 0.212
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 5 0.0451 0.90413 0.000 0.004 0.000 0.008 0.988
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0609 0.86787 0.980 0.000 0.000 0.020 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 3 0.4161 0.38808 0.000 0.000 0.608 0.000 0.392
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 4 0.5452 0.36430 0.292 0.092 0.000 0.616 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.4697 0.47547 0.592 0.020 0.000 0.388 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 4 0.4767 0.13757 0.000 0.020 0.000 0.560 0.420
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0854 0.77836 0.000 0.976 0.004 0.008 0.012
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.2660 0.72486 0.000 0.864 0.128 0.008 0.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.4302 0.31395 0.000 0.480 0.000 0.520 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.2773 0.72813 0.000 0.836 0.000 0.000 0.164
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.4961 -0.06453 0.000 0.520 0.020 0.456 0.004
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 5 0.0566 0.90354 0.000 0.012 0.000 0.004 0.984
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.3661 0.61950 0.000 0.724 0.000 0.000 0.276
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 5 0.0324 0.90532 0.000 0.004 0.000 0.004 0.992
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 5 0.3990 0.55185 0.000 0.004 0.000 0.308 0.688
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 5 0.0510 0.90609 0.000 0.016 0.000 0.000 0.984
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.2020 0.84258 0.900 0.000 0.000 0.100 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.5044 0.40829 0.556 0.036 0.000 0.408 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.4511 0.55253 0.628 0.000 0.000 0.356 0.016
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.0000 0.90555 0.000 0.000 0.000 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.5305 0.57591 0.000 0.672 0.000 0.196 0.132
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.4387 0.22585 0.348 0.012 0.000 0.640 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.0865 0.90367 0.000 0.024 0.000 0.004 0.972
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 4 0.5394 0.21483 0.000 0.400 0.000 0.540 0.060
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.1410 0.66956 0.000 0.060 0.000 0.940 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.3870 0.56940 0.000 0.004 0.732 0.260 0.004
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.3508 0.64651 0.000 0.748 0.000 0.000 0.252
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.4380 0.52465 0.616 0.008 0.000 0.376 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0955 0.78553 0.000 0.968 0.000 0.004 0.028
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.1469 0.78594 0.000 0.948 0.000 0.016 0.036
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.0404 0.83782 0.000 0.000 0.988 0.000 0.012
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.2020 0.67334 0.000 0.100 0.000 0.900 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.1124 0.89789 0.000 0.036 0.000 0.004 0.960
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.4298 0.55771 0.640 0.008 0.000 0.352 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.0510 0.90567 0.000 0.016 0.000 0.000 0.984
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.0162 0.90590 0.000 0.004 0.000 0.000 0.996
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 5 0.4047 0.52887 0.000 0.004 0.000 0.320 0.676
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.2563 0.82530 0.872 0.008 0.000 0.120 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.2377 0.75928 0.000 0.872 0.000 0.000 0.128
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0162 0.87401 0.996 0.000 0.000 0.004 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.0290 0.90608 0.000 0.008 0.000 0.000 0.992
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 5 0.3424 0.66837 0.000 0.240 0.000 0.000 0.760
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.0771 0.89827 0.000 0.004 0.000 0.020 0.976
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.3034 0.76866 0.040 0.880 0.000 0.020 0.060
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.0000 0.90555 0.000 0.000 0.000 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1205 0.78693 0.000 0.956 0.000 0.004 0.040
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.1018 0.86223 0.968 0.016 0.000 0.016 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.0703 0.90352 0.000 0.024 0.000 0.000 0.976
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.0510 0.90604 0.000 0.016 0.000 0.000 0.984
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.1043 0.75286 0.000 0.960 0.000 0.040 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.2377 0.75982 0.000 0.872 0.000 0.000 0.128
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0290 0.87572 0.992 0.000 0.000 0.008 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.0703 0.90437 0.000 0.024 0.000 0.000 0.976
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.1671 0.78348 0.000 0.924 0.000 0.000 0.076
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.1732 0.85511 0.920 0.000 0.000 0.080 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3074 0.58659 0.000 0.804 0.000 0.196 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0609 0.86787 0.980 0.000 0.000 0.020 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 4 0.4242 0.41636 0.000 0.428 0.000 0.572 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.0671 0.90118 0.000 0.004 0.000 0.016 0.980
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.0880 0.82596 0.000 0.032 0.968 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.2813 0.72583 0.000 0.832 0.000 0.000 0.168
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.3491 0.64935 0.000 0.768 0.228 0.000 0.004
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.0865 0.76255 0.004 0.972 0.000 0.024 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.1851 0.67009 0.000 0.088 0.000 0.912 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.6853 0.52658 0.000 0.148 0.604 0.140 0.108
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.4235 0.08625 0.000 0.576 0.000 0.424 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.2074 0.79427 0.000 0.000 0.896 0.000 0.104
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0404 0.90628 0.000 0.012 0.000 0.000 0.988
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.1043 0.88240 0.000 0.000 0.000 0.040 0.960
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1410 0.74630 0.000 0.940 0.000 0.060 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0798 0.87022 0.976 0.000 0.008 0.016 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0162 0.83783 0.004 0.000 0.996 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.0404 0.90628 0.000 0.012 0.000 0.000 0.988
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0609 0.76563 0.000 0.980 0.000 0.020 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.4256 0.08240 0.436 0.000 0.000 0.564 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.4478 0.63933 0.100 0.144 0.000 0.756 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.1792 0.85174 0.916 0.000 0.000 0.084 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.4651 0.44427 0.372 0.000 0.608 0.020 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0000 0.90555 0.000 0.000 0.000 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2648 0.73865 0.000 0.848 0.000 0.000 0.152
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0566 0.77880 0.000 0.984 0.000 0.004 0.012
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.1502 0.67026 0.004 0.056 0.000 0.940 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0609 0.86787 0.980 0.000 0.000 0.020 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0404 0.90628 0.000 0.012 0.000 0.000 0.988
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.4686 0.35043 0.000 0.004 0.012 0.396 0.588
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.1043 0.87113 0.960 0.000 0.000 0.040 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0671 0.78065 0.000 0.980 0.000 0.004 0.016
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4457 0.69297 0.000 0.116 0.760 0.000 0.124
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0162 0.90628 0.000 0.004 0.000 0.000 0.996
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1205 0.78716 0.004 0.956 0.000 0.000 0.040
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2648 0.66340 0.000 0.848 0.000 0.152 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3051 0.66538 0.060 0.076 0.000 0.864 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0510 0.86958 0.984 0.000 0.000 0.016 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.6483 0.12506 0.004 0.044 0.368 0.520 0.064
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.87510 1.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0404 0.87562 0.988 0.000 0.000 0.012 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0798 0.86674 0.976 0.000 0.008 0.016 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.0794 0.90295 0.000 0.028 0.000 0.000 0.972
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1864 0.77741 0.000 0.924 0.004 0.004 0.068
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.6439 -0.00974 0.404 0.176 0.000 0.420 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3274 0.67630 0.000 0.780 0.000 0.000 0.220
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.4302 0.24406 0.000 0.480 0.000 0.520 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0162 0.87554 0.996 0.000 0.000 0.004 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.6498 0.15728 0.000 0.352 0.000 0.452 0.196
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.5639 0.20667 0.000 0.396 0.000 0.524 0.080
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4339 0.50926 0.012 0.336 0.000 0.652 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0162 0.90439 0.000 0.000 0.000 0.004 0.996
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.4304 -0.09759 0.000 0.000 0.484 0.516 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.3932 0.48825 0.000 0.328 0.000 0.000 0.672
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.5345 0.59612 0.136 0.196 0.000 0.668 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.6133 0.49396 0.220 0.216 0.000 0.564 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.1638 0.87928 0.004 0.064 0.000 0.000 0.932
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.6410 0.31024 0.000 0.000 0.476 0.340 0.184
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0898 0.90402 0.000 0.020 0.000 0.008 0.972
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.4278 0.36823 0.000 0.452 0.000 0.548 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3037 0.75570 0.000 0.860 0.100 0.000 0.040
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2605 0.74282 0.000 0.852 0.000 0.000 0.148
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3661 0.61882 0.000 0.724 0.000 0.000 0.276
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4287 0.33988 0.000 0.460 0.000 0.540 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.3997 0.72641 0.000 0.188 0.032 0.004 0.776
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0703 0.87493 0.976 0.000 0.000 0.024 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0510 0.89873 0.000 0.000 0.000 0.016 0.984
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0290 0.83847 0.000 0.000 0.992 0.000 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0794 0.87464 0.972 0.000 0.000 0.028 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0162 0.87554 0.996 0.000 0.000 0.004 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0609 0.90511 0.000 0.020 0.000 0.000 0.980
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.4402 0.70485 0.740 0.056 0.000 0.204 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0955 0.90225 0.000 0.028 0.004 0.000 0.968
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1965 0.77584 0.000 0.904 0.000 0.000 0.096
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3177 0.66312 0.000 0.792 0.208 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2377 0.75664 0.000 0.872 0.000 0.000 0.128
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1364 0.78618 0.000 0.952 0.000 0.012 0.036
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.0566 0.90152 0.000 0.004 0.000 0.012 0.984
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.1018 0.90254 0.000 0.016 0.016 0.000 0.968
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.83901 0.000 0.000 1.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4510 0.14392 0.000 0.560 0.000 0.432 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.88845 1.000 0.000 0.000 0.000 0.000 0.000
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#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.1794 0.59669 0.000 0.040 0.000 0.924 0.000 0.036
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2340 0.76274 0.852 0.000 0.000 0.148 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.1219 0.86072 0.948 0.000 0.004 0.000 0.000 0.048
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0146 0.77928 0.000 0.000 0.000 0.000 0.996 0.004
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2308 0.74905 0.000 0.892 0.000 0.000 0.068 0.040
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0622 0.77609 0.000 0.980 0.000 0.008 0.000 0.012
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4051 0.04552 0.000 0.008 0.000 0.560 0.000 0.432
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0260 0.88671 0.992 0.000 0.000 0.000 0.000 0.008
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.1333 0.78071 0.000 0.008 0.000 0.000 0.944 0.048
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.5218 -0.16621 0.000 0.000 0.000 0.092 0.480 0.428
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.1141 0.85828 0.948 0.000 0.000 0.052 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1059 0.77492 0.000 0.964 0.000 0.016 0.004 0.016
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.6060 0.49447 0.000 0.084 0.572 0.000 0.084 0.260
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0146 0.88776 0.996 0.000 0.000 0.000 0.000 0.004
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0520 0.77772 0.000 0.008 0.000 0.000 0.984 0.008
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0692 0.77485 0.000 0.976 0.000 0.004 0.000 0.020
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2843 0.69104 0.000 0.848 0.000 0.036 0.000 0.116
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2932 0.57223 0.012 0.040 0.000 0.860 0.000 0.088
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0260 0.88671 0.992 0.000 0.000 0.000 0.000 0.008
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.5158 0.49553 0.000 0.012 0.040 0.084 0.156 0.708
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.88845 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.88845 1.000 0.000 0.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0260 0.88671 0.992 0.000 0.000 0.000 0.000 0.008
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.2980 0.73250 0.000 0.008 0.000 0.000 0.800 0.192
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4834 0.39136 0.000 0.596 0.000 0.004 0.060 0.340
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.2998 0.61924 0.064 0.072 0.000 0.856 0.000 0.008
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3006 0.70824 0.000 0.844 0.000 0.000 0.092 0.064
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.5951 0.29922 0.000 0.220 0.000 0.368 0.000 0.412
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.88845 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.5256 0.55323 0.000 0.136 0.000 0.032 0.160 0.672
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.5880 0.49523 0.000 0.328 0.000 0.040 0.096 0.536
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.2811 0.59537 0.000 0.036 0.000 0.868 0.012 0.084
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.77241 0.000 0.000 1.000 0.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0937 0.77973 0.000 0.000 0.000 0.000 0.960 0.040
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4478 0.47080 0.000 0.000 0.688 0.228 0.000 0.084
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.5894 0.38414 0.004 0.228 0.000 0.000 0.504 0.264
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.2519 0.59482 0.004 0.068 0.000 0.884 0.000 0.044
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4509 0.56715 0.060 0.124 0.000 0.756 0.000 0.060
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.3917 0.65144 0.000 0.024 0.000 0.000 0.692 0.284
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.6922 0.34685 0.000 0.000 0.188 0.084 0.284 0.444
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.5525 0.53665 0.000 0.052 0.000 0.128 0.656 0.164
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5799 -0.06162 0.000 0.468 0.000 0.340 0.000 0.192
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1858 0.75793 0.000 0.912 0.076 0.000 0.000 0.012
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1713 0.76606 0.000 0.928 0.000 0.000 0.044 0.028
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.5156 0.43300 0.000 0.612 0.000 0.000 0.144 0.244
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3630 0.50641 0.000 0.212 0.000 0.756 0.000 0.032
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.5255 0.53082 0.000 0.104 0.004 0.000 0.572 0.320
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0363 0.88440 0.988 0.000 0.000 0.012 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.1340 0.77138 0.000 0.008 0.000 0.004 0.948 0.040
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4434 0.62831 0.000 0.008 0.684 0.000 0.048 0.260
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0632 0.87857 0.976 0.000 0.000 0.024 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.88845 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1092 0.77396 0.000 0.020 0.000 0.000 0.960 0.020
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.5570 0.53127 0.248 0.040 0.000 0.616 0.000 0.096
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.3650 0.66293 0.000 0.012 0.000 0.000 0.708 0.280
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.77241 0.000 0.000 1.000 0.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.3566 0.66610 0.000 0.788 0.000 0.000 0.056 0.156
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.2491 0.70368 0.000 0.836 0.164 0.000 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2058 0.76407 0.000 0.908 0.000 0.000 0.036 0.056
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0291 0.77651 0.000 0.992 0.000 0.004 0.000 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.2219 0.75801 0.000 0.000 0.000 0.000 0.864 0.136
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.2619 0.77158 0.000 0.012 0.056 0.000 0.884 0.048
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3329 0.67778 0.000 0.004 0.768 0.000 0.008 0.220
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.4899 0.42289 0.000 0.332 0.000 0.036 0.024 0.608
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.573 0.835 0.908 0.3023 0.720 0.720
#> 3 3 0.405 0.775 0.797 0.8610 0.664 0.534
#> 4 4 0.558 0.703 0.834 0.1625 0.946 0.863
#> 5 5 0.589 0.655 0.778 0.0743 0.975 0.932
#> 6 6 0.557 0.588 0.734 0.0600 0.928 0.795
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 2 0.2778 0.9112 0.048 0.952
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.2778 0.9112 0.048 0.952
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 2 0.2778 0.9112 0.048 0.952
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9155 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.1184 0.9159 0.016 0.984
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.8443 0.5692 0.272 0.728
#> 7D2EF3FC-2977-4410-947F-244B54755779 2 0.2778 0.9112 0.048 0.952
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9155 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 2 0.2778 0.9112 0.048 0.952
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 2 0.2778 0.9112 0.048 0.952
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4022 0.8358 0.920 0.080
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.4298 0.8926 0.088 0.912
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 1 0.4815 0.8419 0.896 0.104
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 2 0.2778 0.9112 0.048 0.952
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.9000 0.4447 0.316 0.684
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1414 0.9116 0.020 0.980
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.2778 0.9112 0.048 0.952
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0376 0.9149 0.004 0.996
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9155 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2423 0.8991 0.040 0.960
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 1 0.7219 0.8258 0.800 0.200
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1843 0.9087 0.028 0.972
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0376 0.9149 0.004 0.996
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 2 0.3114 0.9095 0.056 0.944
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.3584 0.8788 0.068 0.932
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.6712 0.7496 0.176 0.824
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0376 0.9149 0.004 0.996
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 1 0.7219 0.8258 0.800 0.200
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.5519 0.8497 0.872 0.128
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0672 0.9140 0.008 0.992
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 1 0.9996 0.3154 0.512 0.488
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.2778 0.9112 0.048 0.952
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0672 0.9147 0.008 0.992
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0376 0.9149 0.004 0.996
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0376 0.9159 0.004 0.996
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 2 0.2778 0.9112 0.048 0.952
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9155 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.7950 0.6337 0.240 0.760
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.4431 0.8350 0.908 0.092
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 1 0.4815 0.8419 0.896 0.104
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0376 0.9149 0.004 0.996
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.9881 -0.0149 0.436 0.564
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1633 0.9108 0.024 0.976
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0376 0.9149 0.004 0.996
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 2 0.2778 0.9112 0.048 0.952
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.9686 0.1817 0.396 0.604
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.3431 0.8319 0.936 0.064
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0376 0.9159 0.004 0.996
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 2 0.2778 0.9112 0.048 0.952
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4815 0.8424 0.104 0.896
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0938 0.9136 0.012 0.988
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.5737 0.8366 0.136 0.864
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#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0376 0.9149 0.004 0.996
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 1 0.2778 0.8144 0.952 0.048
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0672 0.9140 0.008 0.992
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.4022 0.8668 0.080 0.920
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0376 0.9149 0.004 0.996
#> C5B99B79-067A-48F9-95E4-35770562E686 2 0.6712 0.7942 0.176 0.824
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 2 0.2778 0.9112 0.048 0.952
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4298 0.8348 0.912 0.088
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.2043 0.9049 0.032 0.968
#> F703B62A-687F-4084-BC52-DE28EDE411C3 1 0.2948 0.8168 0.948 0.052
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0376 0.9149 0.004 0.996
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 2 0.2778 0.9112 0.048 0.952
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 2 0.2778 0.9112 0.048 0.952
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 2 0.2778 0.9112 0.048 0.952
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5294 0.8446 0.880 0.120
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.4431 0.8571 0.092 0.908
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1184 0.9128 0.016 0.984
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0376 0.9149 0.004 0.996
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.2778 0.9112 0.048 0.952
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 2 0.2778 0.9112 0.048 0.952
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.9209 0.4002 0.336 0.664
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.3114 0.8883 0.056 0.944
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 2 0.2778 0.9112 0.048 0.952
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0376 0.9149 0.004 0.996
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.2778 0.8144 0.952 0.048
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 2 0.2778 0.9112 0.048 0.952
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.2423 0.8995 0.040 0.960
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0376 0.9149 0.004 0.996
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0376 0.9159 0.004 0.996
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 2 0.2778 0.9112 0.048 0.952
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 2 0.2778 0.9112 0.048 0.952
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.2423 0.9010 0.040 0.960
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 2 0.2778 0.9112 0.048 0.952
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.5519 0.8300 0.872 0.128
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.4431 0.8350 0.908 0.092
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0938 0.9140 0.012 0.988
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.9909 0.4709 0.556 0.444
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 2 0.2778 0.9112 0.048 0.952
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0376 0.9149 0.004 0.996
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.0938 0.9160 0.012 0.988
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 2 0.2778 0.9112 0.048 0.952
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0376 0.9149 0.004 0.996
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0376 0.9149 0.004 0.996
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.2778 0.9112 0.048 0.952
#> EAA457D5-032F-49D0-8D27-A841EB248964 1 0.4690 0.8463 0.900 0.100
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.9087 0.4355 0.324 0.676
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.4939 0.8450 0.892 0.108
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0376 0.9149 0.004 0.996
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 2 0.2778 0.9112 0.048 0.952
#> 52893AFF-C014-411F-B220-2A17D82C383D 2 0.1414 0.9155 0.020 0.980
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0376 0.9149 0.004 0.996
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.6801 0.7435 0.180 0.820
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9155 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.1414 0.9167 0.020 0.980
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.5629 0.8464 0.868 0.132
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0376 0.9149 0.004 0.996
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0376 0.9149 0.004 0.996
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 2 0.2778 0.9112 0.048 0.952
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.8661 0.7594 0.712 0.288
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 2 0.2778 0.9112 0.048 0.952
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9155 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 1 0.9129 0.7033 0.672 0.328
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 2 0.2778 0.9112 0.048 0.952
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 2 0.2778 0.9112 0.048 0.952
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2423 0.8995 0.040 0.960
#> E80C7EE2-1220-4070-ACB1-276763318139 2 0.2778 0.9112 0.048 0.952
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 1 0.9996 0.3154 0.512 0.488
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 1 0.5294 0.8484 0.880 0.120
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0376 0.9149 0.004 0.996
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 1 0.8555 0.7667 0.720 0.280
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.8661 0.5264 0.288 0.712
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0938 0.9140 0.012 0.988
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.6712 0.7479 0.176 0.824
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.6438 0.8415 0.836 0.164
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 1 0.2778 0.8144 0.952 0.048
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0376 0.9149 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.4293 0.88399 0.832 0.164 0.004
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.5098 0.92809 0.752 0.248 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.4293 0.88399 0.832 0.164 0.004
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1753 0.86007 0.048 0.952 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.3267 0.79731 0.116 0.884 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5797 0.53132 0.008 0.712 0.280
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.5058 0.92842 0.756 0.244 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1753 0.86007 0.048 0.952 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.4293 0.88399 0.832 0.164 0.004
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.5058 0.92842 0.756 0.244 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.5216 0.72684 0.260 0.000 0.740
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.6228 0.79870 0.672 0.316 0.012
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3888 0.78503 0.048 0.064 0.888
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.5058 0.92842 0.756 0.244 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.6282 0.43443 0.012 0.664 0.324
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1774 0.86548 0.024 0.960 0.016
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.5098 0.92809 0.752 0.248 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0747 0.86360 0.016 0.984 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.3038 0.81241 0.104 0.896 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2297 0.85444 0.020 0.944 0.036
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4473 0.74851 0.008 0.164 0.828
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4551 0.77905 0.132 0.844 0.024
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1289 0.86360 0.032 0.968 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.4172 0.87455 0.840 0.156 0.004
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2651 0.82405 0.012 0.928 0.060
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4521 0.71258 0.004 0.816 0.180
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0747 0.86360 0.016 0.984 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4473 0.74851 0.008 0.164 0.828
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.5426 0.78466 0.092 0.088 0.820
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1129 0.86359 0.020 0.976 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.6936 0.26501 0.016 0.460 0.524
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.5216 0.92062 0.740 0.260 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1765 0.86377 0.040 0.956 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1753 0.85804 0.048 0.952 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.3816 0.75354 0.148 0.852 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.5058 0.92842 0.756 0.244 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1753 0.86007 0.048 0.952 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.5659 0.58454 0.012 0.740 0.248
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.5397 0.71836 0.280 0.000 0.720
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3888 0.78503 0.048 0.064 0.888
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0747 0.86360 0.016 0.984 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.6786 0.01494 0.012 0.540 0.448
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1919 0.86547 0.024 0.956 0.020
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1529 0.86155 0.040 0.960 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.4293 0.88399 0.832 0.164 0.004
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.8452 0.13703 0.096 0.532 0.372
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.5016 0.73574 0.240 0.000 0.760
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.3267 0.79554 0.116 0.884 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.4351 0.88693 0.828 0.168 0.004
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.3459 0.78500 0.012 0.892 0.096
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.1832 0.86447 0.036 0.956 0.008
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8527 0.03849 0.400 0.504 0.096
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.5058 0.92842 0.756 0.244 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.5138 0.92596 0.748 0.252 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.5216 0.92049 0.740 0.260 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1163 0.86411 0.028 0.972 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.5098 0.92809 0.752 0.248 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.5698 0.67162 0.012 0.252 0.736
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3192 0.80039 0.112 0.888 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.5098 0.92809 0.752 0.248 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.5285 0.92797 0.752 0.244 0.004
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.5431 0.89886 0.716 0.284 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.1999 0.85168 0.012 0.952 0.036
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.5098 0.92809 0.752 0.248 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.5058 0.92842 0.756 0.244 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.5366 0.64854 0.016 0.776 0.208
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.1878 0.86221 0.044 0.952 0.004
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.4293 0.88399 0.832 0.164 0.004
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.5058 0.92842 0.756 0.244 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.2959 0.81619 0.100 0.900 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.5098 0.92809 0.752 0.248 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1411 0.86277 0.036 0.964 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.5058 0.92842 0.756 0.244 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.4228 0.86192 0.844 0.148 0.008
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.5864 0.63129 0.008 0.288 0.704
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.1015 0.77606 0.012 0.008 0.980
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.6204 -0.18346 0.424 0.576 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.6895 0.71035 0.072 0.212 0.716
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.4521 0.89510 0.816 0.180 0.004
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.3193 0.77633 0.004 0.100 0.896
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1529 0.86252 0.040 0.960 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.5397 0.71836 0.280 0.000 0.720
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.5058 0.92842 0.756 0.244 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.1529 0.86155 0.040 0.960 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.4293 0.88399 0.832 0.164 0.004
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.4293 0.88399 0.832 0.164 0.004
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.5061 0.90955 0.784 0.208 0.008
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.1753 0.86007 0.048 0.952 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.5098 0.92809 0.752 0.248 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1753 0.86007 0.048 0.952 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.5560 0.88143 0.700 0.300 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.6264 0.32290 0.004 0.616 0.380
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.6095 0.72823 0.608 0.392 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3875 0.84112 0.068 0.888 0.044
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.1529 0.86155 0.040 0.960 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0747 0.86360 0.016 0.984 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.4293 0.88399 0.832 0.164 0.004
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.2945 0.80576 0.004 0.908 0.088
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.7809 0.18376 0.372 0.568 0.060
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#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.2492 0.83849 0.016 0.936 0.048
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.5058 0.92842 0.756 0.244 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1753 0.85804 0.048 0.952 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.1015 0.77606 0.012 0.008 0.980
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.4409 0.88978 0.824 0.172 0.004
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.1877 0.85415 0.012 0.956 0.032
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1411 0.86277 0.036 0.964 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2537 0.83543 0.080 0.920 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.5178 0.92332 0.744 0.256 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.4293 0.88399 0.832 0.164 0.004
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.2681 0.85715 0.028 0.932 0.040
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.4293 0.88399 0.832 0.164 0.004
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.5678 0.69314 0.316 0.000 0.684
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.5397 0.71836 0.280 0.000 0.720
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.1015 0.86331 0.012 0.980 0.008
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6577 0.37392 0.008 0.420 0.572
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.5098 0.92809 0.752 0.248 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1031 0.86406 0.024 0.976 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3879 0.74579 0.152 0.848 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.4293 0.88399 0.832 0.164 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.1860 0.85846 0.052 0.948 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.1860 0.85846 0.052 0.948 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.5098 0.92809 0.752 0.248 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.4475 0.78589 0.072 0.064 0.864
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.6229 0.39345 0.008 0.652 0.340
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.6414 0.74307 0.248 0.036 0.716
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0747 0.86360 0.016 0.984 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.5138 0.92593 0.748 0.252 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.6095 0.72823 0.608 0.392 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0747 0.86360 0.016 0.984 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5147 0.67478 0.020 0.800 0.180
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1753 0.86007 0.048 0.952 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3755 0.78834 0.120 0.872 0.008
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.4628 0.78298 0.056 0.088 0.856
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1163 0.86380 0.028 0.972 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0892 0.86378 0.020 0.980 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.5397 0.90096 0.720 0.280 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6895 0.71035 0.072 0.212 0.716
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.5058 0.92842 0.756 0.244 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1753 0.86007 0.048 0.952 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5958 0.60648 0.008 0.300 0.692
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.5098 0.92809 0.752 0.248 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.4293 0.88399 0.832 0.164 0.004
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.1877 0.85415 0.012 0.956 0.032
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.5098 0.92809 0.752 0.248 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.6936 0.26471 0.016 0.460 0.524
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6715 0.75955 0.228 0.056 0.716
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1031 0.86439 0.024 0.976 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.6108 0.70009 0.028 0.240 0.732
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6935 0.49230 0.036 0.652 0.312
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1950 0.86471 0.040 0.952 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4749 0.70170 0.012 0.816 0.172
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4195 0.76722 0.012 0.136 0.852
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1015 0.77606 0.012 0.008 0.980
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1163 0.86593 0.028 0.972 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2311 0.90283 0.916 0.076 0.004 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1993 0.84111 0.016 0.944 0.024 0.016
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.3105 0.77284 0.120 0.868 0.012 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.6135 0.24035 0.000 0.568 0.376 0.056
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2457 0.90238 0.912 0.076 0.004 0.008
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1884 0.84088 0.016 0.948 0.020 0.016
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.2021 0.76661 0.012 0.000 0.056 0.932
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.5806 0.73603 0.720 0.196 0.016 0.068
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 4 0.5296 0.27561 0.000 0.008 0.496 0.496
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.5119 0.25706 0.000 0.440 0.556 0.004
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1388 0.84540 0.012 0.960 0.028 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.2853 0.90096 0.900 0.076 0.008 0.016
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0657 0.84469 0.004 0.984 0.012 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.2781 0.81696 0.072 0.904 0.016 0.008
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3004 0.81685 0.008 0.884 0.100 0.008
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5839 0.30839 0.000 0.060 0.648 0.292
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3902 0.75685 0.128 0.840 0.020 0.012
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0592 0.84361 0.016 0.984 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2021 0.83357 0.932 0.000 0.012 0.056
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2973 0.78269 0.000 0.856 0.144 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.5131 0.56539 0.000 0.692 0.280 0.028
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0779 0.84501 0.004 0.980 0.016 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.5839 0.30839 0.000 0.060 0.648 0.292
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.5792 0.34132 0.000 0.032 0.416 0.552
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1305 0.84268 0.000 0.960 0.036 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4175 0.56344 0.000 0.212 0.776 0.012
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.4010 0.87716 0.848 0.100 0.036 0.016
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1042 0.84377 0.020 0.972 0.008 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1109 0.84131 0.028 0.968 0.004 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.3627 0.73925 0.144 0.840 0.008 0.008
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.2198 0.90240 0.920 0.072 0.000 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1762 0.84164 0.012 0.952 0.020 0.016
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.5155 0.08435 0.000 0.528 0.468 0.004
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.2385 0.76698 0.028 0.000 0.052 0.920
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 4 0.5296 0.27561 0.000 0.008 0.496 0.496
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0657 0.84469 0.004 0.984 0.012 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.4814 0.52865 0.000 0.316 0.676 0.008
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1443 0.84518 0.008 0.960 0.028 0.004
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0895 0.84317 0.020 0.976 0.004 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.8525 -0.17293 0.048 0.472 0.268 0.212
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.1940 0.76108 0.000 0.000 0.076 0.924
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.3047 0.77240 0.116 0.872 0.012 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1771 0.84841 0.948 0.004 0.012 0.036
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4040 0.66498 0.000 0.752 0.248 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.2099 0.84263 0.008 0.936 0.044 0.012
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8392 0.01287 0.408 0.412 0.080 0.100
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.3242 0.89562 0.884 0.084 0.016 0.016
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.2796 0.89551 0.892 0.096 0.004 0.008
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0469 0.84397 0.012 0.988 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.2528 0.90167 0.908 0.080 0.004 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4037 0.47001 0.000 0.056 0.832 0.112
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2988 0.77703 0.112 0.876 0.012 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.2853 0.90096 0.900 0.076 0.008 0.016
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.2342 0.90294 0.912 0.080 0.008 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.3102 0.87979 0.872 0.116 0.004 0.008
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.2654 0.81418 0.000 0.888 0.108 0.004
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.2853 0.90096 0.900 0.076 0.008 0.016
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.5016 0.34215 0.000 0.600 0.396 0.004
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.2291 0.84184 0.016 0.932 0.036 0.016
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.2456 0.81848 0.068 0.916 0.008 0.008
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.2382 0.90229 0.912 0.080 0.004 0.004
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0779 0.84354 0.016 0.980 0.004 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.2238 0.90228 0.920 0.072 0.004 0.004
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.2329 0.82423 0.916 0.000 0.012 0.072
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.5199 0.50642 0.000 0.100 0.756 0.144
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.4790 -0.00255 0.000 0.000 0.620 0.380
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.6101 -0.09523 0.468 0.496 0.024 0.012
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.6168 0.28378 0.064 0.032 0.704 0.200
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.1721 0.85852 0.952 0.012 0.008 0.028
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.5639 0.20998 0.000 0.040 0.636 0.324
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0895 0.84431 0.020 0.976 0.004 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 4 0.2385 0.76698 0.028 0.000 0.052 0.920
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0895 0.84317 0.020 0.976 0.004 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.3104 0.88896 0.892 0.060 0.004 0.044
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.1770 0.84109 0.016 0.952 0.016 0.016
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.2923 0.89938 0.896 0.080 0.008 0.016
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1884 0.84088 0.016 0.948 0.020 0.016
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.4382 0.84244 0.816 0.140 0.028 0.016
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.6985 -0.12133 0.000 0.480 0.404 0.116
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.4850 0.66308 0.696 0.292 0.004 0.008
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.4175 0.78684 0.056 0.844 0.084 0.016
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0895 0.84317 0.020 0.976 0.004 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0779 0.84501 0.004 0.980 0.016 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.3751 0.72623 0.000 0.800 0.196 0.004
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.7895 0.08830 0.412 0.448 0.084 0.056
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0779 0.84354 0.016 0.980 0.004 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.1938 0.83603 0.936 0.000 0.012 0.052
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0524 0.84442 0.008 0.988 0.004 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.2760 0.79597 0.000 0.872 0.128 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.3778 0.46542 0.000 0.052 0.848 0.100
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.2457 0.90286 0.912 0.076 0.004 0.008
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 4 0.1970 0.76300 0.008 0.000 0.060 0.932
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.1489 0.83605 0.044 0.952 0.004 0.000
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#> D52D0A66-D871-430E-8330-B4834FF4C6F4 4 0.2282 0.76705 0.024 0.000 0.052 0.924
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.2546 0.82417 0.000 0.900 0.092 0.008
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4817 -0.01345 0.000 0.000 0.612 0.388
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0895 0.84317 0.020 0.976 0.004 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.2796 0.89551 0.892 0.096 0.004 0.008
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 4 0.5610 0.63296 0.068 0.004 0.216 0.712
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3925 0.74261 0.000 0.808 0.176 0.016
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1174 0.84641 0.012 0.968 0.020 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0895 0.84318 0.020 0.976 0.004 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.4010 0.87716 0.848 0.100 0.036 0.016
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.6627 -0.01998 0.000 0.504 0.412 0.084
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.3375 0.80497 0.008 0.864 0.116 0.012
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1109 0.84131 0.028 0.968 0.004 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4790 -0.00255 0.000 0.000 0.620 0.380
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.1786 0.85275 0.948 0.008 0.008 0.036
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.2530 0.81904 0.000 0.896 0.100 0.004
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0779 0.84354 0.016 0.980 0.004 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1978 0.82182 0.068 0.928 0.004 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.2731 0.89789 0.896 0.092 0.004 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.4235 0.76035 0.024 0.828 0.128 0.020
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 4 0.3601 0.72485 0.084 0.000 0.056 0.860
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 4 0.2385 0.76698 0.028 0.000 0.052 0.920
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.1022 0.84561 0.000 0.968 0.032 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6167 0.50995 0.000 0.220 0.664 0.116
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.2382 0.90229 0.912 0.080 0.004 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0524 0.84442 0.008 0.988 0.004 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3584 0.73179 0.152 0.836 0.008 0.004
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.1356 0.84222 0.000 0.960 0.032 0.008
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.1356 0.84222 0.000 0.960 0.032 0.008
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.2853 0.90096 0.900 0.076 0.008 0.016
#> EAA457D5-032F-49D0-8D27-A841EB248964 4 0.5372 0.36205 0.000 0.012 0.444 0.544
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.6514 0.03402 0.000 0.516 0.408 0.076
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.2384 0.74762 0.008 0.004 0.072 0.916
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0779 0.84501 0.004 0.980 0.016 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.2597 0.90060 0.904 0.084 0.004 0.008
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4850 0.66308 0.696 0.292 0.004 0.008
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0779 0.84501 0.004 0.980 0.016 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5213 0.49006 0.000 0.652 0.328 0.020
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1884 0.84088 0.016 0.948 0.020 0.016
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3160 0.76976 0.120 0.868 0.004 0.008
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 4 0.5853 0.25171 0.000 0.032 0.460 0.508
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0469 0.84355 0.012 0.988 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0657 0.84493 0.004 0.984 0.012 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3043 0.88262 0.876 0.112 0.004 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6168 0.28378 0.064 0.032 0.704 0.200
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2053 0.90201 0.924 0.072 0.000 0.004
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.2096 0.84171 0.016 0.940 0.028 0.016
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4426 0.50994 0.000 0.092 0.812 0.096
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.2602 0.90235 0.908 0.076 0.008 0.008
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1584 0.84530 0.952 0.000 0.012 0.036
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2530 0.81904 0.000 0.896 0.100 0.004
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.2382 0.90229 0.912 0.080 0.004 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.4175 0.56359 0.000 0.212 0.776 0.012
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 4 0.4387 0.66647 0.000 0.012 0.236 0.752
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0336 0.84391 0.008 0.992 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.7156 0.24835 0.000 0.140 0.492 0.368
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6158 0.10496 0.016 0.536 0.424 0.024
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1182 0.84500 0.016 0.968 0.016 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4817 0.37936 0.000 0.612 0.388 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.6078 0.29496 0.000 0.068 0.620 0.312
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4776 0.00463 0.000 0.000 0.624 0.376
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0592 0.84469 0.000 0.984 0.016 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 4 0.441 0.641804 NA 0.000 0.008 0.604 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.184 0.813008 NA 0.016 0.000 0.928 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 4 0.441 0.641804 NA 0.000 0.008 0.604 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.251 0.817749 NA 0.908 0.000 0.028 0.020
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.403 0.739127 NA 0.812 0.000 0.096 0.012
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.610 0.143343 NA 0.496 0.016 0.000 0.408
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.122 0.811845 NA 0.020 0.000 0.960 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.223 0.817404 NA 0.920 0.000 0.028 0.012
#> C227E512-1327-4BD0-8A9E-613D64F37829 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.217 0.806956 NA 0.016 0.000 0.908 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.112 0.813405 NA 0.000 0.964 0.000 0.016
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.554 0.656206 NA 0.132 0.044 0.712 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.667 0.035604 NA 0.008 0.356 0.000 0.456
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.184 0.810374 NA 0.016 0.000 0.928 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.481 0.317556 NA 0.372 0.000 0.000 0.600
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.214 0.823095 NA 0.924 0.000 0.012 0.040
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.155 0.804654 NA 0.016 0.000 0.944 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.161 0.823169 NA 0.944 0.000 0.004 0.012
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.314 0.804939 NA 0.876 0.004 0.060 0.012
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.358 0.788527 NA 0.836 0.000 0.012 0.112
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.632 0.402513 NA 0.032 0.156 0.000 0.616
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.460 0.733701 NA 0.792 0.008 0.084 0.024
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.128 0.818591 NA 0.960 0.000 0.016 0.004
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 4 0.477 0.629595 NA 0.000 0.024 0.592 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.396 0.731180 NA 0.780 0.000 0.000 0.176
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.539 0.491917 NA 0.620 0.012 0.000 0.316
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.181 0.823151 NA 0.936 0.000 0.004 0.020
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.632 0.402513 NA 0.032 0.156 0.000 0.616
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.689 0.044621 NA 0.024 0.428 0.000 0.392
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.223 0.817504 NA 0.916 0.000 0.004 0.036
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.333 0.550112 NA 0.144 0.000 0.000 0.828
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.289 0.774803 NA 0.036 0.004 0.876 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.165 0.817202 NA 0.944 0.000 0.012 0.008
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.140 0.818537 NA 0.952 0.000 0.024 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.405 0.714833 NA 0.800 0.004 0.116 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.191 0.811614 NA 0.016 0.000 0.924 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.214 0.817810 NA 0.924 0.000 0.024 0.012
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.497 -0.000777 NA 0.460 0.000 0.000 0.512
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.155 0.816606 NA 0.000 0.944 0.000 0.016
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.665 0.028670 NA 0.008 0.360 0.000 0.456
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.161 0.823169 NA 0.944 0.000 0.004 0.012
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.428 0.522081 NA 0.244 0.000 0.000 0.724
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.228 0.821712 NA 0.916 0.000 0.008 0.036
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.130 0.818290 NA 0.956 0.000 0.016 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.855 -0.124006 NA 0.444 0.160 0.048 0.248
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.217 0.794703 NA 0.000 0.912 0.000 0.024
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.369 0.743064 NA 0.828 0.000 0.092 0.004
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 4 0.437 0.652647 NA 0.000 0.008 0.620 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.464 0.596358 NA 0.680 0.000 0.000 0.280
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.260 0.818623 NA 0.904 0.000 0.020 0.040
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.885 -0.042581 NA 0.372 0.080 0.296 0.068
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.170 0.811091 NA 0.016 0.000 0.936 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.220 0.795882 NA 0.024 0.004 0.916 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.158 0.809760 NA 0.032 0.000 0.944 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.127 0.819333 NA 0.960 0.000 0.012 0.004
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.112 0.811160 NA 0.020 0.000 0.964 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 5 0.340 0.487022 NA 0.016 0.028 0.000 0.848
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.357 0.750722 NA 0.836 0.000 0.088 0.004
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.155 0.806693 NA 0.016 0.000 0.944 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.158 0.813782 NA 0.024 0.000 0.944 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.230 0.795555 NA 0.048 0.000 0.908 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.350 0.781895 NA 0.832 0.000 0.004 0.124
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.155 0.806693 NA 0.016 0.000 0.944 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.191 0.809678 NA 0.016 0.000 0.924 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.535 0.242243 NA 0.528 0.004 0.000 0.424
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.277 0.817238 NA 0.896 0.000 0.028 0.032
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.184 0.812553 NA 0.016 0.000 0.928 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.276 0.805364 NA 0.892 0.004 0.056 0.004
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.112 0.811940 NA 0.020 0.000 0.964 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.112 0.819597 NA 0.964 0.000 0.016 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.177 0.811375 NA 0.016 0.000 0.932 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 4 0.509 0.618677 NA 0.000 0.044 0.584 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 5 0.455 0.519384 NA 0.056 0.056 0.000 0.792
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 5 0.630 0.212575 NA 0.000 0.256 0.000 0.532
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.602 0.193269 NA 0.412 0.004 0.484 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.588 0.362210 NA 0.008 0.108 0.016 0.660
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 4 0.417 0.668738 NA 0.000 0.004 0.648 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.655 0.351319 NA 0.028 0.200 0.000 0.580
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.122 0.820536 NA 0.960 0.000 0.020 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.155 0.816606 NA 0.000 0.944 0.000 0.016
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.184 0.812553 NA 0.016 0.000 0.928 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.139 0.819448 NA 0.952 0.000 0.016 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.400 0.772890 NA 0.012 0.028 0.788 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.198 0.819048 NA 0.932 0.000 0.028 0.012
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#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 4 0.437 0.652647 NA 0.000 0.008 0.620 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.200 0.822280 NA 0.928 0.000 0.004 0.036
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.127 0.819333 NA 0.960 0.000 0.012 0.004
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.155 0.806693 NA 0.016 0.000 0.944 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.575 0.687047 NA 0.740 0.056 0.048 0.092
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.323 0.757191 NA 0.000 0.868 0.060 0.016
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.386 0.750514 NA 0.828 0.004 0.076 0.008
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.223 0.817404 NA 0.920 0.000 0.028 0.012
#> B53929AB-C35E-44E0-9BB9-89029834D737 5 0.631 0.207810 NA 0.000 0.260 0.000 0.528
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.217 0.794703 NA 0.000 0.912 0.000 0.024
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.117 0.819139 NA 0.964 0.000 0.012 0.004
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.708 0.035096 NA 0.024 0.368 0.000 0.416
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.519 0.398089 NA 0.604 0.004 0.352 0.004
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.220 0.795882 NA 0.024 0.004 0.916 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 5 0.400 0.547060 NA 0.172 0.004 0.000 0.784
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.112 0.819597 NA 0.964 0.000 0.016 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.631 0.207810 NA 0.000 0.260 0.000 0.528
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.223 0.818909 NA 0.920 0.000 0.020 0.016
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.434 0.666905 NA 0.728 0.000 0.000 0.232
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.130 0.818290 NA 0.956 0.000 0.016 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.618 0.497826 NA 0.000 0.152 0.516 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.147 0.816069 NA 0.000 0.948 0.000 0.016
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.329 0.791081 NA 0.844 0.000 0.000 0.108
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.627 0.232473 NA 0.000 0.260 0.000 0.536
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.130 0.818290 NA 0.956 0.000 0.016 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.184 0.812076 NA 0.016 0.000 0.928 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.167 0.809223 NA 0.032 0.000 0.940 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.170 0.811091 NA 0.016 0.000 0.936 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.536 0.651531 NA 0.000 0.704 0.016 0.152
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.458 0.708190 NA 0.748 0.004 0.004 0.188
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.180 0.824084 NA 0.940 0.000 0.012 0.028
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.146 0.817556 NA 0.952 0.000 0.016 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.289 0.774803 NA 0.036 0.004 0.876 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.670 -0.098849 NA 0.440 0.040 0.000 0.424
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.408 0.768337 NA 0.804 0.004 0.008 0.132
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.170 0.811091 NA 0.016 0.000 0.936 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.140 0.818537 NA 0.952 0.000 0.024 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.631 0.207810 NA 0.000 0.260 0.000 0.528
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 4 0.433 0.659054 NA 0.000 0.008 0.632 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.335 0.789588 NA 0.844 0.000 0.004 0.112
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.112 0.819597 NA 0.964 0.000 0.016 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.243 0.801225 NA 0.900 0.000 0.064 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.167 0.810743 NA 0.032 0.000 0.940 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.520 0.688597 NA 0.748 0.008 0.028 0.112
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.306 0.773447 NA 0.000 0.868 0.020 0.016
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.155 0.816606 NA 0.000 0.944 0.000 0.016
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.182 0.825194 NA 0.932 0.000 0.000 0.024
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.558 0.506463 NA 0.164 0.048 0.000 0.704
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.122 0.811724 NA 0.020 0.000 0.960 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.124 0.820622 NA 0.960 0.000 0.008 0.004
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.409 0.709374 NA 0.796 0.004 0.124 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.180 0.822110 NA 0.928 0.004 0.000 0.004
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.180 0.819307 NA 0.928 0.004 0.000 0.004
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.155 0.804654 NA 0.016 0.000 0.944 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.657 0.065692 NA 0.008 0.432 0.000 0.404
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.661 -0.050509 NA 0.452 0.032 0.000 0.416
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.336 0.767587 NA 0.004 0.840 0.008 0.016
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.171 0.823176 NA 0.940 0.000 0.004 0.016
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.131 0.811567 NA 0.024 0.000 0.956 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.422 0.622653 NA 0.216 0.000 0.744 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.171 0.823176 NA 0.940 0.000 0.004 0.016
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.585 0.409544 NA 0.576 0.008 0.000 0.324
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.223 0.817404 NA 0.920 0.000 0.028 0.012
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.407 0.733118 NA 0.808 0.004 0.096 0.004
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 5 0.708 0.035096 NA 0.024 0.368 0.000 0.416
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.117 0.819139 NA 0.964 0.000 0.012 0.004
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.179 0.822373 NA 0.936 0.000 0.004 0.016
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.200 0.801572 NA 0.040 0.000 0.924 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.588 0.362210 NA 0.008 0.108 0.016 0.660
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.191 0.809678 NA 0.016 0.000 0.924 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.251 0.818167 NA 0.908 0.000 0.028 0.020
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.356 0.515934 NA 0.044 0.032 0.000 0.852
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.155 0.810050 NA 0.016 0.000 0.944 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 4 0.440 0.645070 NA 0.000 0.008 0.608 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.335 0.789588 NA 0.844 0.000 0.004 0.112
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.122 0.812247 NA 0.020 0.000 0.960 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.341 0.550157 NA 0.144 0.000 0.000 0.824
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.518 0.571238 NA 0.008 0.684 0.000 0.232
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.115 0.820043 NA 0.964 0.000 0.008 0.004
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.794 0.307225 NA 0.112 0.248 0.000 0.436
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.611 0.007048 NA 0.456 0.008 0.008 0.456
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.159 0.819848 NA 0.948 0.000 0.016 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.500 0.291581 NA 0.544 0.000 0.000 0.424
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.658 0.408579 NA 0.048 0.172 0.000 0.604
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.626 0.220027 NA 0.000 0.248 0.000 0.540
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.133 0.824162 NA 0.952 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.2883 0.8876 0.788 0.000 0.000 0.212 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1610 0.8369 0.084 0.000 0.000 0.916 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2883 0.8876 0.788 0.000 0.000 0.212 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.2954 0.7419 0.008 0.876 0.048 0.040 0.028 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5433 0.6363 0.036 0.688 0.020 0.096 0.160 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5908 -0.1194 0.004 0.436 0.404 0.000 0.152 0.004
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1753 0.8442 0.084 0.004 0.000 0.912 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.2637 0.7441 0.004 0.892 0.036 0.040 0.028 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2969 0.8874 0.776 0.000 0.000 0.224 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.2969 0.7137 0.224 0.000 0.000 0.776 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.0806 0.7324 0.020 0.000 0.000 0.000 0.008 0.972
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.5217 0.5990 0.084 0.096 0.000 0.732 0.052 0.036
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.6397 0.7808 0.008 0.004 0.336 0.000 0.388 0.264
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2631 0.7725 0.180 0.000 0.000 0.820 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4096 0.3686 0.008 0.304 0.672 0.000 0.016 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3207 0.7545 0.008 0.844 0.048 0.004 0.096 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0291 0.8471 0.004 0.000 0.000 0.992 0.004 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3185 0.7505 0.024 0.840 0.024 0.000 0.112 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4082 0.7418 0.028 0.804 0.016 0.064 0.088 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3963 0.6836 0.012 0.784 0.156 0.016 0.032 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5731 -0.4413 0.000 0.028 0.476 0.000 0.412 0.084
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5704 0.6613 0.064 0.700 0.028 0.064 0.132 0.012
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.2627 0.7492 0.008 0.872 0.008 0.008 0.104 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.3315 0.8761 0.780 0.000 0.000 0.200 0.000 0.020
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.4209 0.6129 0.008 0.716 0.232 0.000 0.044 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.5457 0.2937 0.012 0.552 0.336 0.000 0.100 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3337 0.7492 0.024 0.832 0.032 0.000 0.112 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.5731 -0.4413 0.000 0.028 0.476 0.000 0.412 0.084
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.6538 -0.7443 0.012 0.004 0.324 0.000 0.316 0.344
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3082 0.7343 0.012 0.860 0.080 0.008 0.040 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2214 0.2954 0.000 0.092 0.892 0.000 0.012 0.004
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1952 0.8066 0.052 0.016 0.000 0.920 0.012 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.3283 0.7410 0.024 0.828 0.012 0.004 0.132 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2807 0.7529 0.012 0.864 0.004 0.016 0.104 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.5082 0.6352 0.028 0.700 0.004 0.136 0.132 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2597 0.7766 0.176 0.000 0.000 0.824 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.2567 0.7441 0.004 0.896 0.036 0.036 0.028 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.4371 0.2173 0.004 0.396 0.580 0.000 0.020 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 6 0.0790 0.7384 0.032 0.000 0.000 0.000 0.000 0.968
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.6405 0.7812 0.008 0.004 0.336 0.000 0.384 0.268
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.3148 0.7500 0.020 0.840 0.024 0.000 0.116 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.3250 0.3512 0.000 0.196 0.788 0.000 0.012 0.004
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3500 0.7505 0.028 0.828 0.048 0.000 0.096 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.2654 0.7474 0.008 0.864 0.004 0.008 0.116 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.2941 0.8893 0.780 0.000 0.000 0.220 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.8193 -0.1562 0.016 0.400 0.240 0.040 0.188 0.116
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.2961 0.6742 0.020 0.000 0.008 0.000 0.132 0.840
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4937 0.6554 0.028 0.720 0.008 0.100 0.144 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.3101 0.8659 0.756 0.000 0.000 0.244 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4787 0.4078 0.012 0.596 0.352 0.000 0.040 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.3089 0.7351 0.004 0.860 0.080 0.032 0.024 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8984 -0.1876 0.296 0.308 0.060 0.156 0.112 0.068
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.2378 0.8013 0.152 0.000 0.000 0.848 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0951 0.8346 0.020 0.004 0.000 0.968 0.008 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.1863 0.8475 0.060 0.016 0.000 0.920 0.004 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.2615 0.7492 0.012 0.872 0.008 0.004 0.104 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.1700 0.8449 0.080 0.004 0.000 0.916 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3952 0.0608 0.024 0.000 0.768 0.000 0.176 0.032
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4781 0.6692 0.028 0.736 0.008 0.096 0.132 0.000
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#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2615 0.7492 0.012 0.872 0.008 0.004 0.104 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.7225 0.6474 0.020 0.080 0.368 0.000 0.388 0.144
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.6282 0.1646 0.016 0.348 0.480 0.004 0.144 0.008
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2865 0.7473 0.008 0.856 0.012 0.008 0.116 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4535 -0.0754 0.004 0.472 0.500 0.000 0.024 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.6632 -0.2963 0.012 0.048 0.468 0.000 0.340 0.132
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.6434 -0.3157 0.024 0.000 0.400 0.000 0.364 0.212
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.2095 0.7571 0.016 0.916 0.028 0.000 0.040 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17420 rows and 500 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 1.000 0.983 0.991 0.4683 0.534 0.534
#> 3 3 0.763 0.865 0.918 0.2976 0.812 0.657
#> 4 4 0.673 0.589 0.712 0.1635 0.878 0.687
#> 5 5 0.749 0.714 0.824 0.0894 0.837 0.511
#> 6 6 0.765 0.784 0.832 0.0501 0.933 0.717
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.992 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0672 0.995 0.992 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.992 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.990 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0672 0.995 0.992 0.008
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.990 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0672 0.995 0.992 0.008
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.990 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0376 0.993 0.996 0.004
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0672 0.995 0.992 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.7528 0.735 0.216 0.784
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0672 0.995 0.992 0.008
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0672 0.986 0.008 0.992
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0672 0.995 0.992 0.008
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.990 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.990 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0672 0.995 0.992 0.008
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.990 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.990 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.990 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0672 0.986 0.008 0.992
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.990 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.990 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.992 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.990 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.990 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.990 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0672 0.986 0.008 0.992
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0672 0.986 0.008 0.992
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.990 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0672 0.986 0.008 0.992
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0672 0.995 0.992 0.008
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.990 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.990 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.990 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0672 0.995 0.992 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.990 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.990 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.992 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0672 0.986 0.008 0.992
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.990 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0376 0.988 0.004 0.996
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0376 0.988 0.004 0.996
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.990 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.992 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0376 0.988 0.004 0.996
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.992 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.990 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.992 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.990 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.990 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8443 0.641 0.272 0.728
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0672 0.995 0.992 0.008
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0672 0.995 0.992 0.008
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0672 0.995 0.992 0.008
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.990 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0672 0.995 0.992 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0672 0.986 0.008 0.992
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.990 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0672 0.995 0.992 0.008
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0672 0.995 0.992 0.008
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0672 0.995 0.992 0.008
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.990 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0672 0.995 0.992 0.008
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0672 0.995 0.992 0.008
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.990 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.990 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.992 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0672 0.995 0.992 0.008
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.990 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0672 0.995 0.992 0.008
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.990 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0672 0.995 0.992 0.008
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.992 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0672 0.986 0.008 0.992
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0672 0.986 0.008 0.992
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0672 0.995 0.992 0.008
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0672 0.986 0.008 0.992
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.992 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0672 0.986 0.008 0.992
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.990 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.992 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0672 0.995 0.992 0.008
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.990 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.992 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.992 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.992 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.990 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0672 0.995 0.992 0.008
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.990 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.0938 0.992 0.988 0.012
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.990 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0672 0.995 0.992 0.008
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.990 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.990 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0000 0.990 0.000 1.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.992 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.990 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.990 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.990 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.992 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.990 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.990 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0672 0.986 0.008 0.992
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0672 0.995 0.992 0.008
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.992 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.990 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.990 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.992 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.992 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.990 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.992 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.992 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.990 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.990 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0672 0.995 0.992 0.008
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.7602 0.714 0.780 0.220
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0000 0.992 1.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.990 0.000 1.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0672 0.986 0.008 0.992
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0000 0.992 1.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.0672 0.986 0.008 0.992
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.990 0.000 1.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.990 0.000 1.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.990 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.990 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.1184 0.981 0.984 0.016
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.992 1.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.4815 0.888 0.104 0.896
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.0000 0.990 0.000 1.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.990 0.000 1.000
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#> 5B40CBAE-77B5-4BB1-9749-2847ECEB3F27 2 0.0000 0.990 0.000 1.000
#> 1A329319-7710-4949-A5AA-9634E61163CA 1 0.2043 0.973 0.968 0.032
#> 0370B77C-5FE2-47DA-8E5F-806F76E6D505 1 0.0000 0.992 1.000 0.000
#> F73A3291-85AB-4017-8BDE-0739DF67D6F4 1 0.0672 0.995 0.992 0.008
#> C5653356-7F4F-4849-BAE2-AAB978A35D76 1 0.0672 0.995 0.992 0.008
#> 4B3D0D9D-CF94-44AC-8B27-44054DE1FE39 2 0.0672 0.986 0.008 0.992
#> 8D690C1D-EEDE-4A73-AB61-7B64CBD7A171 2 0.0000 0.990 0.000 1.000
#> 78834D3F-6C8F-4720-B217-71B31214554C 2 0.0000 0.990 0.000 1.000
#> CAC75F32-D642-4194-83F1-F1BF1C35C664 1 0.5294 0.872 0.880 0.120
#> CC469E60-F95D-4F06-A2A1-A8B8CDC5976E 2 0.0672 0.986 0.008 0.992
#> 706352A4-E94E-44C6-8255-4C0E3610F942 2 0.0938 0.984 0.012 0.988
#> 494C71D8-9E1B-4CBC-A99D-0FB4C2A2BAF1 2 0.0672 0.986 0.008 0.992
#> DA1FC719-E707-4D43-AF83-4354843173C9 1 0.0000 0.992 1.000 0.000
#> FCC67B68-B20A-47F8-AF13-33F0FF9EA45B 1 0.0672 0.995 0.992 0.008
#> 5E825B8D-F90B-448D-8472-90B5258D6553 2 0.0376 0.988 0.004 0.996
#> 476E8F79-2F9B-4EF8-9A91-3DF184AB71BA 2 0.0000 0.990 0.000 1.000
#> DB90FB7F-C1D7-44AF-9A6B-400EE8541109 2 0.9710 0.337 0.400 0.600
#> F8E79C86-05B7-476C-9361-23C9C8FEB80C 2 0.0000 0.990 0.000 1.000
#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.0000 0.990 0.000 1.000
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.0376 0.988 0.004 0.996
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.0000 0.990 0.000 1.000
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.0376 0.988 0.004 0.996
#> C0133A01-0F93-4306-954E-A725AE8B56C3 2 0.0000 0.990 0.000 1.000
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.0672 0.986 0.008 0.992
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.0000 0.990 0.000 1.000
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.0672 0.995 0.992 0.008
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.0000 0.990 0.000 1.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0000 0.990 0.000 1.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0000 0.990 0.000 1.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.0672 0.986 0.008 0.992
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.0000 0.990 0.000 1.000
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.992 1.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.0672 0.986 0.008 0.992
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0672 0.995 0.992 0.008
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0672 0.995 0.992 0.008
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.990 0.000 1.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0672 0.986 0.008 0.992
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.0672 0.986 0.008 0.992
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0672 0.995 0.992 0.008
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.990 0.000 1.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0672 0.986 0.008 0.992
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.990 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.3114 0.942 0.056 0.944
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.992 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.990 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.990 0.000 1.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.990 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.990 0.000 1.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0672 0.995 0.992 0.008
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0672 0.995 0.992 0.008
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0672 0.995 0.992 0.008
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.990 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.990 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0672 0.995 0.992 0.008
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.990 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.992 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.990 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0672 0.995 0.992 0.008
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0672 0.986 0.008 0.992
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.990 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0672 0.995 0.992 0.008
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.990 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.990 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0672 0.986 0.008 0.992
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.0672 0.995 0.992 0.008
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.990 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0672 0.995 0.992 0.008
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.990 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.990 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.990 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0672 0.995 0.992 0.008
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.990 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.992 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.990 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.990 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.990 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0376 0.988 0.004 0.996
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.990 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.990 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.992 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.990 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.990 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.990 0.000 1.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.990 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0672 0.995 0.992 0.008
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.990 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.990 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0672 0.995 0.992 0.008
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.990 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.992 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.990 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.990 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0672 0.986 0.008 0.992
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.7376 0.748 0.208 0.792
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.990 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0672 0.986 0.008 0.992
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0672 0.995 0.992 0.008
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0672 0.995 0.992 0.008
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0376 0.988 0.004 0.996
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.990 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0672 0.986 0.008 0.992
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.990 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.990 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.990 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.992 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.992 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.992 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.990 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0672 0.986 0.008 0.992
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.990 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0672 0.995 0.992 0.008
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0672 0.995 0.992 0.008
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0672 0.995 0.992 0.008
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.2423 0.957 0.960 0.040
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.990 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.990 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.990 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0672 0.995 0.992 0.008
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.992 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.990 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.990 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0672 0.995 0.992 0.008
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.990 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0672 0.986 0.008 0.992
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.992 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.990 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.990 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.990 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0672 0.995 0.992 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.992 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0376 0.988 0.004 0.996
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.992 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.992 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.992 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.990 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0672 0.986 0.008 0.992
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0672 0.995 0.992 0.008
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.990 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0672 0.995 0.992 0.008
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0376 0.993 0.996 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.990 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.990 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0672 0.995 0.992 0.008
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0672 0.986 0.008 0.992
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.990 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.9686 0.356 0.396 0.604
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.990 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0672 0.995 0.992 0.008
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0672 0.995 0.992 0.008
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.990 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.990 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.990 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.9635 0.362 0.388 0.612
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0672 0.986 0.008 0.992
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.990 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.990 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0672 0.995 0.992 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0672 0.986 0.008 0.992
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0672 0.995 0.992 0.008
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.990 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0672 0.986 0.008 0.992
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0672 0.995 0.992 0.008
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.992 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.990 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0672 0.995 0.992 0.008
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0672 0.986 0.008 0.992
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0672 0.986 0.008 0.992
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.990 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0672 0.986 0.008 0.992
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0376 0.988 0.004 0.996
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.990 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.990 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0672 0.986 0.008 0.992
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0672 0.986 0.008 0.992
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.990 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.4796 0.8394 0.780 0.000 0.220
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0424 0.9292 0.992 0.000 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.4796 0.8394 0.780 0.000 0.220
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0661 0.9517 0.008 0.988 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0237 0.9278 0.996 0.004 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.3038 0.8264 0.000 0.896 0.104
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9297 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0475 0.9537 0.004 0.992 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.4796 0.8394 0.780 0.000 0.220
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0592 0.9287 0.988 0.000 0.012
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.7024 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0237 0.9278 0.996 0.004 0.000
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#> 71FB5F96-671E-43C2-973E-3839079F753B 3 0.4796 0.8432 0.000 0.220 0.780
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0237 0.9278 0.996 0.004 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9541 0.000 1.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.6280 0.5302 0.000 0.460 0.540
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0592 0.9483 0.012 0.988 0.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.2537 0.7740 0.000 0.080 0.920
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.4796 0.8394 0.780 0.000 0.220
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9541 0.000 1.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0237 0.9544 0.000 0.996 0.004
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0237 0.9544 0.000 0.996 0.004
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0237 0.9544 0.000 0.996 0.004
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0592 0.9287 0.988 0.000 0.012
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.9297 1.000 0.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.9297 1.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0237 0.9544 0.000 0.996 0.004
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0592 0.9483 0.012 0.988 0.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.9297 1.000 0.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0237 0.9544 0.000 0.996 0.004
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.0237 0.6994 0.004 0.000 0.996
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.9541 0.000 1.000 0.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0237 0.9278 0.996 0.004 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.5948 0.7107 0.000 0.360 0.640
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0237 0.9544 0.000 0.996 0.004
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.9297 1.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9541 0.000 1.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0592 0.9483 0.012 0.988 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.6026 0.6865 0.000 0.376 0.624
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.0237 0.9278 0.996 0.004 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0475 0.9536 0.004 0.992 0.004
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9297 1.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0237 0.9544 0.000 0.996 0.004
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0237 0.9544 0.000 0.996 0.004
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0237 0.9544 0.000 0.996 0.004
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0424 0.9292 0.992 0.000 0.008
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9541 0.000 1.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.4796 0.8394 0.780 0.000 0.220
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0237 0.9544 0.000 0.996 0.004
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0237 0.9544 0.000 0.996 0.004
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0829 0.9494 0.012 0.984 0.004
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.2711 0.8450 0.000 0.912 0.088
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0475 0.9536 0.004 0.992 0.004
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0237 0.9528 0.004 0.996 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.6204 0.5851 0.576 0.000 0.424
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0237 0.9544 0.000 0.996 0.004
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0237 0.9544 0.000 0.996 0.004
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0592 0.9483 0.012 0.988 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0592 0.9483 0.012 0.988 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4504 0.8514 0.804 0.000 0.196
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0237 0.9544 0.000 0.996 0.004
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9541 0.000 1.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0592 0.9287 0.988 0.000 0.012
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0237 0.9528 0.004 0.996 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.6252 0.5494 0.556 0.000 0.444
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0592 0.9483 0.012 0.988 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0892 0.9398 0.020 0.980 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.4796 0.8432 0.000 0.220 0.780
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.2066 0.7571 0.000 0.060 0.940
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9541 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.4796 0.8432 0.000 0.220 0.780
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0237 0.9278 0.996 0.004 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0237 0.9278 0.996 0.004 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.6286 -0.2943 0.000 0.536 0.464
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0592 0.9483 0.012 0.988 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4796 0.8432 0.000 0.220 0.780
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0661 0.9517 0.008 0.988 0.004
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0237 0.9544 0.000 0.996 0.004
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0592 0.9483 0.012 0.988 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.4796 0.8394 0.780 0.000 0.220
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.4796 0.8394 0.780 0.000 0.220
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0237 0.6994 0.004 0.000 0.996
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0237 0.9544 0.000 0.996 0.004
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4796 0.8432 0.000 0.220 0.780
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0592 0.9483 0.012 0.988 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0592 0.9287 0.988 0.000 0.012
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9297 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0592 0.9287 0.988 0.000 0.012
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.0237 0.6994 0.004 0.000 0.996
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0237 0.9544 0.000 0.996 0.004
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9541 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0592 0.9483 0.012 0.988 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.9297 1.000 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.4796 0.8394 0.780 0.000 0.220
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.3116 0.8202 0.000 0.892 0.108
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0237 0.9544 0.000 0.996 0.004
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0592 0.9287 0.988 0.000 0.012
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0592 0.9483 0.012 0.988 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4796 0.8432 0.000 0.220 0.780
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.4796 0.8394 0.780 0.000 0.220
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0237 0.9544 0.000 0.996 0.004
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0592 0.9483 0.012 0.988 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0592 0.9483 0.012 0.988 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9297 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.4796 0.8394 0.780 0.000 0.220
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.5158 0.5639 0.004 0.764 0.232
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.4796 0.8394 0.780 0.000 0.220
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.1031 0.6812 0.024 0.000 0.976
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.0237 0.6994 0.004 0.000 0.996
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0237 0.9544 0.000 0.996 0.004
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6244 0.5751 0.000 0.440 0.560
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9297 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9541 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0424 0.9252 0.992 0.008 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.4796 0.8394 0.780 0.000 0.220
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9541 0.000 1.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9541 0.000 1.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9297 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.4399 0.8332 0.000 0.188 0.812
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.2959 0.8326 0.000 0.900 0.100
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.6176 0.7593 0.120 0.100 0.780
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9541 0.000 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9297 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0237 0.9278 0.996 0.004 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9541 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0237 0.9544 0.000 0.996 0.004
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0829 0.9494 0.012 0.984 0.004
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.6192 0.2362 0.580 0.420 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.4796 0.8432 0.000 0.220 0.780
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9541 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9541 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9297 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.5948 0.7108 0.000 0.360 0.640
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0592 0.9287 0.988 0.000 0.012
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0661 0.9517 0.008 0.988 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5988 0.6992 0.000 0.368 0.632
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0592 0.9287 0.988 0.000 0.012
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.4796 0.8394 0.780 0.000 0.220
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0237 0.9544 0.000 0.996 0.004
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9297 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.6260 0.5503 0.000 0.448 0.552
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.4796 0.8432 0.000 0.220 0.780
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9541 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4796 0.8432 0.000 0.220 0.780
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9541 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9541 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0237 0.9544 0.000 0.996 0.004
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4796 0.8432 0.000 0.220 0.780
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4796 0.8432 0.000 0.220 0.780
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9541 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0188 0.8139 0.996 0.000 0.000 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.4972 0.2892 0.544 0.456 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 4 0.7322 0.5480 0.000 0.244 0.224 0.532
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0188 0.8136 0.996 0.004 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0336 0.8379 0.000 0.000 0.992 0.008
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.4331 0.5620 0.712 0.288 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 4 0.5277 0.6433 0.000 0.460 0.008 0.532
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 4 0.5155 0.6392 0.000 0.468 0.004 0.528
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0469 0.6648 0.000 0.988 0.000 0.012
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4500 0.2711 0.000 0.684 0.000 0.316
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2814 0.8103 0.000 0.000 0.868 0.132
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.5151 0.5867 0.532 0.000 0.004 0.464
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 4 0.4985 0.6404 0.000 0.468 0.000 0.532
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 4 0.5668 0.6410 0.000 0.444 0.024 0.532
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4406 0.3304 0.000 0.700 0.000 0.300
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3486 0.7807 0.000 0.000 0.812 0.188
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0524 0.8386 0.000 0.004 0.988 0.008
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4382 0.3437 0.000 0.704 0.000 0.296
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#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 3 0.4323 0.7142 0.000 0.184 0.788 0.028
#> 71FB5F96-671E-43C2-973E-3839079F753B 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.4790 0.4483 0.620 0.380 0.000 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0469 0.6649 0.000 0.988 0.000 0.012
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.5432 0.1945 0.000 0.652 0.316 0.032
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0524 0.8386 0.000 0.004 0.988 0.008
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.5151 0.5867 0.532 0.000 0.004 0.464
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.4830 -0.1249 0.000 0.608 0.000 0.392
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0707 0.8095 0.980 0.020 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0336 0.6656 0.000 0.992 0.000 0.008
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.1118 0.7991 0.964 0.036 0.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.2011 0.8127 0.000 0.000 0.920 0.080
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0469 0.6648 0.000 0.988 0.000 0.012
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.4746 0.4693 0.632 0.368 0.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.4642 0.7274 0.000 0.020 0.740 0.240
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.4304 0.3646 0.000 0.716 0.000 0.284
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.8138 1.000 0.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0188 0.6652 0.000 0.996 0.000 0.004
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.5453 0.5973 0.000 0.032 0.648 0.320
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.4804 0.4408 0.616 0.384 0.000 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0469 0.8124 0.988 0.012 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 4 0.5151 0.6426 0.000 0.464 0.004 0.532
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0817 0.6438 0.000 0.976 0.024 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.8224 -0.4247 0.284 0.012 0.308 0.396
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.4522 0.2548 0.000 0.680 0.000 0.320
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0336 0.6594 0.008 0.992 0.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.3873 0.4512 0.000 0.772 0.000 0.228
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.4522 0.2556 0.000 0.680 0.000 0.320
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0336 0.6653 0.000 0.992 0.000 0.008
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 4 0.7645 -0.4211 0.268 0.000 0.264 0.468
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0336 0.6594 0.008 0.992 0.000 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.4535 0.3491 0.004 0.704 0.000 0.292
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.0895 0.8419 0.000 0.004 0.976 0.020
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0524 0.8386 0.000 0.004 0.988 0.008
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.5000 -0.1816 0.500 0.500 0.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.4877 0.3934 0.592 0.408 0.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.7906 -0.2394 0.000 0.352 0.348 0.300
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.5858 0.5514 0.500 0.000 0.032 0.468
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.2011 0.8127 0.000 0.000 0.920 0.080
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.4955 -0.3836 0.000 0.556 0.000 0.444
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.2216 0.8078 0.000 0.000 0.908 0.092
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 4 0.7322 0.5480 0.000 0.244 0.224 0.532
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0188 0.6629 0.004 0.996 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0469 0.8124 0.988 0.012 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.3047 0.5125 0.000 0.872 0.116 0.012
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.5320 0.5041 0.012 0.000 0.572 0.416
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.4761 0.5656 0.000 0.000 0.628 0.372
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 4 0.5155 0.6392 0.000 0.468 0.004 0.528
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6164 0.6070 0.000 0.104 0.656 0.240
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0469 0.8124 0.988 0.012 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4992 -0.1173 0.476 0.524 0.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0336 0.6653 0.000 0.992 0.000 0.008
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.1022 0.8020 0.968 0.032 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0524 0.8386 0.000 0.004 0.988 0.008
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 4 0.7322 0.5480 0.000 0.244 0.224 0.532
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4879 0.7156 0.092 0.000 0.780 0.128
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4382 0.5534 0.704 0.296 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3873 0.4528 0.000 0.772 0.000 0.228
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 4 0.6809 0.6102 0.000 0.360 0.108 0.532
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4356 0.3503 0.000 0.708 0.000 0.292
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4977 -0.0680 0.460 0.540 0.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0188 0.8399 0.000 0.004 0.996 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0469 0.6649 0.000 0.988 0.000 0.012
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0921 0.6573 0.000 0.972 0.000 0.028
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0592 0.8115 0.984 0.016 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.4840 0.7184 0.000 0.028 0.732 0.240
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0336 0.8139 0.992 0.000 0.000 0.008
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.4382 0.3437 0.000 0.704 0.000 0.296
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5188 0.6987 0.000 0.044 0.716 0.240
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0188 0.8139 0.996 0.000 0.000 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.5147 0.5906 0.536 0.000 0.004 0.460
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.4543 0.2380 0.000 0.676 0.000 0.324
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8138 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 4 0.6583 0.1788 0.000 0.084 0.388 0.528
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0188 0.8399 0.000 0.004 0.996 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0592 0.6636 0.000 0.984 0.000 0.016
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4155 0.2485 0.000 0.756 0.004 0.240
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.6657 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 4 0.5000 0.6015 0.000 0.496 0.000 0.504
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3975 0.7440 0.000 0.000 0.760 0.240
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1109 0.8422 0.000 0.004 0.968 0.028
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0469 0.6648 0.000 0.988 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.3074 0.94153 0.804 0.000 0.000 0.196 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0000 0.93553 0.000 0.000 0.000 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.3143 0.94506 0.796 0.000 0.000 0.204 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.5229 0.49923 0.048 0.404 0.000 0.000 0.548
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.3239 0.67830 0.004 0.828 0.000 0.156 0.012
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.3806 0.48375 0.072 0.008 0.096 0.000 0.824
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1106 0.93106 0.000 0.024 0.000 0.964 0.012
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.5221 0.50424 0.048 0.400 0.000 0.000 0.552
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.3143 0.94506 0.796 0.000 0.000 0.204 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.0404 0.93059 0.012 0.000 0.000 0.988 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.1671 0.74605 0.076 0.000 0.924 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.3123 0.79161 0.000 0.160 0.000 0.828 0.012
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0566 0.76356 0.004 0.000 0.984 0.000 0.012
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.0162 0.93443 0.004 0.000 0.000 0.996 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.3491 0.56528 0.072 0.036 0.036 0.000 0.856
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.6527 0.11534 0.076 0.392 0.044 0.000 0.488
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#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2966 0.77085 0.016 0.848 0.000 0.000 0.136
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.3033 0.56852 0.064 0.024 0.032 0.000 0.880
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.5229 0.49372 0.048 0.404 0.000 0.000 0.548
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.2228 0.78584 0.008 0.912 0.000 0.068 0.012
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.1331 0.75637 0.040 0.000 0.952 0.000 0.008
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1251 0.87779 0.008 0.956 0.000 0.000 0.036
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1557 0.87004 0.008 0.940 0.000 0.000 0.052
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.1364 0.92571 0.000 0.036 0.000 0.952 0.012
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.5579 0.49934 0.072 0.000 0.508 0.000 0.420
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0000 0.93553 0.000 0.000 0.000 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.5236 0.49324 0.048 0.408 0.000 0.000 0.544
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5583 0.49317 0.072 0.000 0.504 0.000 0.424
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0000 0.93553 0.000 0.000 0.000 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.3143 0.94506 0.796 0.000 0.000 0.204 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.5113 0.52213 0.044 0.380 0.000 0.000 0.576
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0693 0.93454 0.000 0.008 0.000 0.980 0.012
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.5159 0.06928 0.072 0.000 0.284 0.000 0.644
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.1331 0.75637 0.040 0.000 0.952 0.000 0.008
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1251 0.87779 0.008 0.956 0.000 0.000 0.036
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0693 0.76345 0.008 0.000 0.980 0.000 0.012
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5338 0.24421 0.040 0.560 0.008 0.000 0.392
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0963 0.87692 0.000 0.964 0.000 0.000 0.036
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1725 0.63475 0.020 0.044 0.000 0.000 0.936
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.5550 0.52022 0.072 0.000 0.528 0.000 0.400
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0566 0.76361 0.004 0.000 0.984 0.000 0.012
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1251 0.87779 0.008 0.956 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0146 0.8874 0.000 0.000 0.004 0.996 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2668 0.8242 0.004 0.168 0.000 0.000 0.828 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.3787 0.7531 0.000 0.812 0.064 0.036 0.088 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3101 0.7432 0.000 0.000 0.756 0.000 0.244 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.3473 0.8845 0.000 0.012 0.088 0.824 0.076 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2737 0.8249 0.004 0.160 0.004 0.000 0.832 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.0363 0.8843 0.012 0.000 0.000 0.988 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.5322 0.8151 0.004 0.076 0.140 0.696 0.084 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.0291 0.8878 0.004 0.000 0.004 0.992 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3371 0.6992 0.000 0.000 0.708 0.000 0.292 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 3 0.5560 0.1814 0.012 0.416 0.476 0.000 0.096 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3767 0.8834 0.000 0.012 0.104 0.800 0.084 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2476 0.8690 0.012 0.880 0.012 0.000 0.096 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.3629 0.6511 0.000 0.724 0.016 0.000 0.260 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.2896 0.8222 0.000 0.160 0.016 0.000 0.824 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3499 0.4290 0.000 0.000 0.680 0.000 0.000 0.320
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1644 0.8856 0.004 0.932 0.012 0.000 0.052 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1946 0.8828 0.004 0.912 0.012 0.000 0.072 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0547 0.9723 0.980 0.000 0.000 0.020 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.3619 0.4133 0.004 0.000 0.316 0.000 0.680 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.3607 0.6200 0.000 0.000 0.652 0.000 0.348 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3261 0.7865 0.012 0.804 0.012 0.000 0.172 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3564 0.5469 0.000 0.000 0.724 0.000 0.012 0.264
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.2558 0.8222 0.004 0.156 0.000 0.000 0.840 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3776 0.7624 0.000 0.000 0.760 0.000 0.188 0.052
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.3526 0.8835 0.000 0.012 0.088 0.820 0.080 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1434 0.8880 0.000 0.940 0.012 0.000 0.048 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1524 0.8868 0.000 0.932 0.008 0.000 0.060 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.2512 0.8283 0.000 0.880 0.060 0.000 0.060 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0260 0.8889 0.000 0.000 0.008 0.992 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.2879 0.8208 0.004 0.176 0.004 0.000 0.816 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3765 0.5054 0.000 0.000 0.596 0.000 0.404 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 6 0.2823 0.6367 0.204 0.000 0.000 0.000 0.000 0.796
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.2476 0.8671 0.012 0.880 0.012 0.000 0.096 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.3126 0.7409 0.000 0.000 0.752 0.000 0.248 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.4731 0.5838 0.016 0.188 0.716 0.000 0.072 0.008
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1556 0.8802 0.000 0.920 0.000 0.000 0.080 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3908 0.7398 0.004 0.796 0.064 0.000 0.016 0.120
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.2058 0.8465 0.000 0.908 0.056 0.000 0.036 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.3499 0.4170 0.000 0.000 0.320 0.000 0.680 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.2805 0.8229 0.000 0.160 0.012 0.000 0.828 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0964 0.8831 0.004 0.968 0.012 0.000 0.016 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.3419 0.8855 0.000 0.012 0.088 0.828 0.072 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.3623 0.8812 0.000 0.012 0.096 0.812 0.080 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1769 0.8841 0.004 0.924 0.012 0.000 0.060 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.3473 0.8845 0.000 0.012 0.088 0.824 0.076 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3621 0.6681 0.004 0.000 0.772 0.000 0.032 0.192
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2129 0.8440 0.000 0.904 0.056 0.000 0.040 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.1313 0.8785 0.004 0.000 0.028 0.952 0.016 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.3317 0.8867 0.000 0.012 0.080 0.836 0.072 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.3670 0.8799 0.000 0.012 0.100 0.808 0.080 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.2859 0.8211 0.000 0.156 0.016 0.000 0.828 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.1218 0.8768 0.004 0.000 0.028 0.956 0.012 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.3765 0.5054 0.000 0.000 0.596 0.000 0.404 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.2738 0.8219 0.004 0.176 0.000 0.000 0.820 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.0146 0.8869 0.004 0.000 0.000 0.996 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.2277 0.8772 0.000 0.892 0.032 0.000 0.076 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.3473 0.8845 0.000 0.012 0.088 0.824 0.076 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1124 0.8881 0.000 0.956 0.008 0.000 0.036 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.2964 0.6360 0.004 0.000 0.792 0.000 0.000 0.204
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.5698 0.3458 0.000 0.580 0.064 0.296 0.060 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 6 0.4662 0.0326 0.004 0.000 0.468 0.000 0.032 0.496
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.2948 0.6590 0.000 0.000 0.804 0.000 0.008 0.188
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1714 0.8773 0.000 0.908 0.000 0.000 0.092 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.0146 0.8869 0.004 0.000 0.000 0.996 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.1918 0.8788 0.000 0.904 0.008 0.000 0.088 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.0551 0.8849 0.004 0.000 0.004 0.984 0.008 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.2772 0.8196 0.004 0.180 0.000 0.000 0.816 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.4226 0.8757 0.004 0.012 0.120 0.768 0.096 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.3178 0.8156 0.004 0.176 0.016 0.000 0.804 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.6733 0.4612 0.000 0.304 0.140 0.468 0.088 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.3078 0.7505 0.000 0.000 0.796 0.000 0.192 0.012
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.4805 0.8382 0.000 0.056 0.128 0.732 0.084 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.1461 0.8692 0.000 0.940 0.044 0.000 0.016 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.1858 0.8771 0.000 0.904 0.004 0.000 0.092 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.3428 0.4494 0.000 0.000 0.304 0.000 0.696 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.2703 0.8233 0.004 0.172 0.000 0.000 0.824 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.1429 0.8870 0.004 0.940 0.004 0.000 0.052 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.3997 -0.2172 0.004 0.000 0.488 0.000 0.508 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.3943 0.7137 0.000 0.000 0.760 0.000 0.084 0.156
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.2263 0.8388 0.000 0.896 0.056 0.000 0.048 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.2783 0.6823 0.000 0.016 0.148 0.000 0.836 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.2845 0.8227 0.004 0.172 0.004 0.000 0.820 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.3455 0.7487 0.000 0.000 0.800 0.000 0.144 0.056
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.2595 0.8210 0.004 0.160 0.000 0.000 0.836 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.3067 0.7980 0.004 0.856 0.052 0.008 0.080 0.000
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#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.2390 0.8333 0.000 0.888 0.056 0.000 0.056 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.3894 0.5950 0.004 0.324 0.008 0.000 0.664 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.3352 0.7912 0.012 0.172 0.016 0.000 0.800 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.0972 0.8790 0.000 0.000 0.028 0.964 0.008 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.1713 0.8707 0.000 0.928 0.044 0.000 0.028 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2006 0.8722 0.892 0.000 0.000 0.004 0.000 0.104
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.2625 0.8215 0.000 0.872 0.056 0.000 0.072 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.3178 0.8156 0.004 0.176 0.016 0.000 0.804 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 6 0.2883 0.7726 0.000 0.000 0.212 0.000 0.000 0.788
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.1820 0.8839 0.008 0.924 0.012 0.000 0.056 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.6656 0.3985 0.000 0.340 0.124 0.452 0.084 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.5197 0.8127 0.000 0.080 0.136 0.700 0.084 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4448 0.7167 0.004 0.040 0.768 0.000 0.084 0.104
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0909 0.8830 0.000 0.968 0.012 0.000 0.020 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.2668 0.8238 0.004 0.168 0.000 0.000 0.828 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.2854 0.6119 0.000 0.000 0.208 0.000 0.792 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1970 0.8772 0.000 0.900 0.008 0.000 0.092 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0603 0.9672 0.980 0.000 0.000 0.016 0.000 0.004
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 6 0.0363 0.8448 0.012 0.000 0.000 0.000 0.000 0.988
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.2828 0.7661 0.004 0.072 0.060 0.000 0.864 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1714 0.8773 0.000 0.908 0.000 0.000 0.092 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3623 0.8812 0.000 0.012 0.096 0.812 0.080 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0260 0.8889 0.000 0.000 0.008 0.992 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 6 0.0458 0.8434 0.016 0.000 0.000 0.000 0.000 0.984
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.2772 0.6452 0.000 0.004 0.180 0.000 0.816 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1769 0.8841 0.004 0.924 0.012 0.000 0.060 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1588 0.8838 0.000 0.924 0.004 0.000 0.072 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.3903 0.8742 0.000 0.016 0.108 0.792 0.084 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.3421 0.7306 0.000 0.000 0.736 0.000 0.256 0.008
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.2946 0.8233 0.004 0.160 0.012 0.000 0.824 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1285 0.8875 0.000 0.944 0.004 0.000 0.052 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.2597 0.6485 0.000 0.000 0.176 0.000 0.824 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1225 0.8872 0.000 0.952 0.012 0.000 0.036 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1644 0.8698 0.000 0.932 0.040 0.000 0.028 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3623 0.8812 0.000 0.012 0.096 0.812 0.080 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.1769 0.8671 0.004 0.924 0.060 0.000 0.012 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 6 0.2823 0.6367 0.204 0.000 0.000 0.000 0.000 0.796
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 6 0.1204 0.8146 0.056 0.000 0.000 0.000 0.000 0.944
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.4791 0.6722 0.012 0.064 0.656 0.000 0.268 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.5670 0.6127 0.004 0.108 0.652 0.000 0.060 0.176
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.3473 0.8845 0.000 0.012 0.088 0.824 0.076 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3204 0.7858 0.000 0.836 0.068 0.004 0.092 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.1914 0.8865 0.008 0.920 0.016 0.000 0.056 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.1850 0.8870 0.008 0.924 0.016 0.000 0.052 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4226 0.8757 0.004 0.012 0.120 0.768 0.096 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 6 0.1204 0.8382 0.000 0.000 0.056 0.000 0.000 0.944
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.3349 0.7327 0.000 0.000 0.748 0.000 0.244 0.008
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.5799 0.5801 0.008 0.000 0.084 0.168 0.088 0.652
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3575 0.8823 0.000 0.012 0.092 0.816 0.080 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5185 0.8143 0.000 0.080 0.140 0.700 0.080 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2755 0.8534 0.012 0.856 0.012 0.000 0.120 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.3607 0.6167 0.000 0.000 0.652 0.000 0.348 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.3178 0.8156 0.004 0.176 0.016 0.000 0.804 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3490 0.7693 0.000 0.828 0.068 0.020 0.084 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 6 0.1501 0.8352 0.000 0.000 0.076 0.000 0.000 0.924
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1946 0.8824 0.004 0.912 0.012 0.000 0.072 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2159 0.8797 0.012 0.904 0.012 0.000 0.072 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3761 0.8787 0.000 0.016 0.100 0.804 0.080 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3974 0.6848 0.004 0.000 0.752 0.000 0.056 0.188
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.2703 0.8233 0.004 0.172 0.000 0.000 0.824 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4035 0.6817 0.004 0.000 0.744 0.000 0.056 0.196
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0000 0.8879 0.000 0.000 0.000 1.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0790 0.9869 0.968 0.000 0.000 0.032 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.2896 0.8222 0.000 0.160 0.016 0.000 0.824 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.3317 0.8867 0.000 0.012 0.080 0.836 0.072 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3803 0.7616 0.000 0.000 0.760 0.000 0.184 0.056
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.1501 0.8352 0.000 0.000 0.076 0.000 0.000 0.924
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2102 0.8809 0.012 0.908 0.012 0.000 0.068 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4910 0.4809 0.004 0.628 0.284 0.000 0.084 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1531 0.8846 0.000 0.928 0.004 0.000 0.068 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3266 0.5132 0.000 0.000 0.272 0.000 0.728 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.2948 0.6590 0.000 0.000 0.804 0.000 0.008 0.188
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 6 0.2941 0.7674 0.000 0.000 0.220 0.000 0.000 0.780
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1850 0.8870 0.008 0.924 0.016 0.000 0.052 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", "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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.984 0.994 0.4822 0.517 0.517
#> 3 3 0.979 0.951 0.980 0.3657 0.766 0.571
#> 4 4 0.834 0.810 0.898 0.1250 0.861 0.621
#> 5 5 0.839 0.843 0.913 0.0697 0.916 0.695
#> 6 6 0.886 0.853 0.923 0.0445 0.916 0.638
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.989 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.989 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.989 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.996 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.989 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.996 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.989 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.996 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.989 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.989 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.989 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.989 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.996 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.989 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.996 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.996 0.000 1.000
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#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.996 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 1 0.9608 0.385 0.616 0.384
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.996 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.989 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.996 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.996 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.989 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.996 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.989 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0938 0.985 0.012 0.988
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.996 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.996 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.0000 0.989 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.996 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.996 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.989 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.989 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.996 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.996 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.996 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.996 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.996 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.996 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.989 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.989 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.989 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.996 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.996 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.996 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.989 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.989 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.989 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.989 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.996 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.996 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.996 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.989 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.989 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.996 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.996 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.989 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.996 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.996 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.989 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.996 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.996 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.996 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.989 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.989 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.6343 0.808 0.840 0.160
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.989 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.989 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.989 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.996 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.996 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.989 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.996 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0000 0.989 1.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.989 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.996 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.996 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.989 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.996 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.996 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.0000 0.989 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.996 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.989 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.989 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.996 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.996 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.996 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0000 0.989 1.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.996 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.996 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.996 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.989 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.996 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.989 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.996 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.996 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.989 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.989 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.996 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.989 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.996 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.996 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.996 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.996 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.996 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.996 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.996 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.996 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.996 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9946 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9946 1.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9946 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9862 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.9946 1.000 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9474 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9946 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9862 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9946 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9946 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.9474 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9946 1.000 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.9474 0.000 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9946 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9862 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.5560 0.5492 0.000 0.700 0.300
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9946 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9862 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9862 0.000 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9862 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9474 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.9862 0.000 1.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9862 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9946 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9862 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.5733 0.4965 0.000 0.676 0.324
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9862 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9474 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.9474 0.000 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9862 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9474 0.000 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9946 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.3340 0.8508 0.000 0.880 0.120
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9862 0.000 1.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.9862 0.000 1.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9946 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9862 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9862 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.5988 0.4164 0.368 0.000 0.632
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.9474 0.000 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9862 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.3686 0.8248 0.000 0.140 0.860
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.0000 0.9474 0.000 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9862 0.000 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9946 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.0000 0.9474 0.000 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9474 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.9862 0.000 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9946 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9862 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9862 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.2625 0.8755 0.084 0.000 0.916
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9946 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.9946 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9946 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9862 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9946 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.0000 0.9474 0.000 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.9862 0.000 1.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9946 1.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9946 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9946 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9862 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9946 1.000 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9946 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9862 0.000 1.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9862 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9946 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9946 1.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.9862 0.000 1.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9946 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9862 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9946 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9946 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.0000 0.9474 0.000 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0000 0.9474 0.000 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.9946 1.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.0000 0.9474 0.000 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9946 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0000 0.9474 0.000 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9862 0.000 1.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.0000 0.9474 0.000 0.000 1.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9946 1.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9862 0.000 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9946 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9946 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9946 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9862 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9946 1.000 0.000 0.000
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#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9862 0.000 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9946 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9862 0.000 1.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0000 0.9474 0.000 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9946 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9862 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9862 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9862 0.000 1.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9946 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9946 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.6976 0.6486 0.236 0.064 0.700
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9946 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.6291 0.1244 0.468 0.000 0.532
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.0000 0.9474 0.000 0.000 1.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9862 0.000 1.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.0000 0.9474 0.000 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9946 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9862 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0000 0.9946 1.000 0.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9946 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9862 0.000 1.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9862 0.000 1.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9946 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.9474 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.3267 0.8484 0.000 0.116 0.884
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9474 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9862 0.000 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9946 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9946 1.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9862 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.6215 0.2689 0.000 0.428 0.572
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9862 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0592 0.9826 0.988 0.000 0.012
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0000 0.9474 0.000 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9862 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9862 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9946 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.0000 0.9474 0.000 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9946 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9862 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0000 0.9474 0.000 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9946 1.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9946 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9862 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9946 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0000 0.9474 0.000 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.9474 0.000 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9862 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.9474 0.000 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.6062 0.4094 0.000 0.384 0.616
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9862 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9862 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0000 0.9474 0.000 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.9474 0.000 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9862 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.4972 0.1584 0.456 0.000 0.000 0.544
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.4277 0.2624 0.000 0.720 0.280 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4761 0.6405 0.000 0.628 0.000 0.372
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3533 0.6398 0.000 0.864 0.080 0.056
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.0469 0.8789 0.000 0.012 0.000 0.988
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.0921 0.8602 0.000 0.028 0.000 0.972
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4103 0.7043 0.000 0.744 0.000 0.256
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1557 0.8375 0.000 0.056 0.944 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4933 0.5219 0.000 0.568 0.000 0.432
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2216 0.8250 0.000 0.092 0.908 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4500 0.6775 0.000 0.684 0.000 0.316
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4830 0.6306 0.000 0.392 0.608 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.0188 0.8840 0.004 0.000 0.000 0.996
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.0469 0.8380 0.012 0.000 0.988 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 4 0.3528 0.5946 0.000 0.192 0.000 0.808
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.5099 0.6398 0.000 0.380 0.612 0.008
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0188 0.7635 0.000 0.996 0.000 0.004
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.4564 0.6708 0.000 0.672 0.000 0.328
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.2760 0.7380 0.000 0.000 0.872 0.128
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4624 0.6834 0.000 0.340 0.660 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0707 0.7655 0.000 0.980 0.000 0.020
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0188 0.7635 0.000 0.996 0.000 0.004
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.4585 0.6899 0.000 0.332 0.668 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.1118 0.8431 0.000 0.036 0.964 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.3569 0.7750 0.000 0.196 0.804 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.4804 0.6285 0.000 0.616 0.000 0.384
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.4888 0.2877 0.412 0.000 0.000 0.588
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.4916 0.5811 0.000 0.424 0.576 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 4 0.1792 0.8246 0.000 0.068 0.000 0.932
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 4 0.0336 0.8814 0.000 0.008 0.000 0.992
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0469 0.7652 0.000 0.988 0.000 0.012
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4790 0.6446 0.000 0.380 0.620 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0469 0.7652 0.000 0.988 0.000 0.012
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0469 0.9781 0.988 0.000 0.012 0.000
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#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.4331 0.6917 0.000 0.712 0.000 0.288
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0188 0.7635 0.000 0.996 0.000 0.004
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.7790 0.6125 0.180 0.104 0.612 0.104
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.3024 0.7208 0.148 0.000 0.852 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.0000 0.8443 0.000 0.000 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.4585 0.6899 0.000 0.332 0.668 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.5070 0.2685 0.416 0.000 0.004 0.580
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.0188 0.8844 0.000 0.004 0.000 0.996
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0188 0.8440 0.004 0.000 0.996 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 4 0.0188 0.8844 0.000 0.004 0.000 0.996
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3123 0.6925 0.000 0.844 0.000 0.156
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.7614 0.000 1.000 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.4907 0.2657 0.420 0.000 0.000 0.580
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 4 0.1118 0.8571 0.000 0.036 0.000 0.964
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.4624 0.6834 0.000 0.340 0.660 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.4790 0.6338 0.000 0.620 0.000 0.380
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4624 0.6834 0.000 0.340 0.660 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0469 0.9781 0.988 0.000 0.012 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2081 0.7608 0.000 0.916 0.000 0.084
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9815 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.4830 0.6306 0.000 0.392 0.608 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 4 0.5112 0.3902 0.000 0.384 0.008 0.608
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 4 0.0000 0.8869 0.000 0.000 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0188 0.7635 0.000 0.996 0.000 0.004
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.1557 0.8375 0.000 0.056 0.944 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0469 0.8477 0.000 0.012 0.988 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.0000 0.8869 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.3242 0.7984 0.000 0.216 0.000 0.000 0.784
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.5495 0.0585 0.064 0.436 0.000 0.500 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3659 0.8092 0.012 0.000 0.768 0.000 0.220
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.3210 0.8009 0.000 0.212 0.000 0.000 0.788
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1965 0.9145 0.096 0.000 0.000 0.904 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.1195 0.8237 0.012 0.000 0.028 0.000 0.960
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 3 0.6384 0.6147 0.012 0.188 0.568 0.000 0.232
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0880 0.8952 0.000 0.968 0.000 0.000 0.032
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.2929 0.7047 0.000 0.820 0.000 0.000 0.180
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.2329 0.8316 0.000 0.124 0.000 0.000 0.876
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0404 0.8727 0.012 0.000 0.988 0.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0404 0.9057 0.012 0.988 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4457 0.2959 0.012 0.620 0.000 0.000 0.368
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0404 0.8727 0.012 0.000 0.988 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.2813 0.8193 0.000 0.168 0.000 0.000 0.832
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3690 0.8061 0.012 0.000 0.764 0.000 0.224
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.1732 0.8588 0.000 0.920 0.000 0.080 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.3305 0.7926 0.000 0.224 0.000 0.000 0.776
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.2377 0.8512 0.872 0.000 0.128 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1544 0.8694 0.000 0.932 0.000 0.000 0.068
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.4582 0.5010 0.012 0.000 0.572 0.000 0.416
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.3628 0.8121 0.012 0.000 0.772 0.000 0.216
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.2074 0.7961 0.104 0.000 0.896 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.1341 0.8767 0.000 0.944 0.000 0.056 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.3003 0.8133 0.000 0.188 0.000 0.000 0.812
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0510 0.9436 0.984 0.000 0.016 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1671 0.9287 0.076 0.000 0.000 0.924 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3391 0.8286 0.012 0.000 0.800 0.000 0.188
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.1478 0.8705 0.000 0.936 0.000 0.064 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.0162 0.9491 0.004 0.000 0.000 0.996 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.0404 0.8467 0.000 0.012 0.000 0.000 0.988
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.0162 0.9491 0.004 0.000 0.000 0.996 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.3274 0.7956 0.000 0.220 0.000 0.000 0.780
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3081 0.8411 0.012 0.000 0.832 0.000 0.156
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.4192 0.2586 0.596 0.000 0.000 0.404 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.0955 0.8721 0.004 0.000 0.968 0.000 0.028
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0807 0.8725 0.012 0.000 0.976 0.000 0.012
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3661 0.6662 0.724 0.000 0.276 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.3305 0.7926 0.000 0.224 0.000 0.000 0.776
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.3274 0.7956 0.000 0.220 0.000 0.000 0.780
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.0404 0.9400 0.000 0.012 0.000 0.988 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.3530 0.8201 0.012 0.000 0.784 0.000 0.204
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.2230 0.8215 0.000 0.884 0.000 0.000 0.116
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#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.2127 0.8685 0.892 0.000 0.108 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.2813 0.8193 0.000 0.168 0.000 0.000 0.832
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.3003 0.8133 0.000 0.188 0.000 0.000 0.812
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.1544 0.8671 0.000 0.932 0.000 0.068 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.4242 0.4663 0.000 0.428 0.000 0.000 0.572
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.0404 0.8430 0.012 0.000 0.000 0.000 0.988
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3274 0.7046 0.000 0.780 0.220 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0404 0.9460 0.988 0.000 0.012 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.2377 0.8115 0.000 0.872 0.000 0.128 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.3305 0.7926 0.000 0.224 0.000 0.000 0.776
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3659 0.8093 0.012 0.000 0.768 0.000 0.220
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.3242 0.7984 0.000 0.216 0.000 0.000 0.784
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.0162 0.8452 0.004 0.000 0.000 0.000 0.996
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0963 0.8530 0.036 0.000 0.964 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.0000 0.8459 0.000 0.000 0.000 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1671 0.9287 0.076 0.000 0.000 0.924 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.3661 0.6006 0.276 0.000 0.724 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0000 0.8459 0.000 0.000 0.000 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.3462 0.6206 0.012 0.000 0.196 0.000 0.792
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.2852 0.8197 0.000 0.172 0.000 0.000 0.828
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0000 0.8459 0.000 0.000 0.000 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.6798 0.5771 0.048 0.192 0.600 0.152 0.008
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.2377 0.8512 0.872 0.000 0.128 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.3039 0.7817 0.808 0.000 0.192 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.3916 0.4857 0.012 0.000 0.256 0.000 0.732
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.3391 0.8286 0.012 0.000 0.800 0.000 0.188
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.6298 0.0248 0.412 0.436 0.000 0.152 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0290 0.9074 0.000 0.992 0.000 0.000 0.008
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.3462 0.6206 0.012 0.000 0.196 0.000 0.792
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.2424 0.7613 0.000 0.000 0.868 0.132 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0703 0.8991 0.000 0.976 0.000 0.000 0.024
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.4538 0.0356 0.008 0.452 0.000 0.000 0.540
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.3081 0.6828 0.012 0.000 0.156 0.000 0.832
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.3305 0.7926 0.000 0.224 0.000 0.000 0.776
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.4201 0.2703 0.000 0.408 0.000 0.592 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1043 0.8892 0.000 0.960 0.000 0.000 0.040
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3427 0.8268 0.012 0.000 0.796 0.000 0.192
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.3305 0.7926 0.000 0.224 0.000 0.000 0.776
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.3462 0.8250 0.012 0.000 0.792 0.000 0.196
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1732 0.9270 0.080 0.000 0.000 0.920 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0404 0.9564 0.988 0.000 0.000 0.012 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1544 0.8416 0.000 0.068 0.000 0.000 0.932
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9497 0.000 0.000 0.000 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3690 0.8061 0.012 0.000 0.764 0.000 0.224
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5172 0.6228 0.012 0.692 0.072 0.000 0.224
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9111 0.000 1.000 0.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.0290 0.8443 0.008 0.000 0.000 0.000 0.992
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0566 0.8728 0.012 0.000 0.984 0.000 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.8728 0.000 0.000 1.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9111 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2664 0.8277 0.184 0.000 0.000 0.816 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.9607 0.000 0.000 0.000 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6353 0.1122 0.120 0.416 0.052 0.412 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.1204 0.8763 0.000 0.000 0.944 0.000 0.000 0.056
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.9193 0.000 0.000 0.000 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.9607 0.000 0.000 0.000 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.3578 0.6061 0.340 0.000 0.000 0.660 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0865 0.9030 0.000 0.000 0.036 0.964 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 6 0.0146 0.9415 0.000 0.000 0.004 0.000 0.000 0.996
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3126 0.7552 0.248 0.000 0.000 0.752 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.1204 0.8806 0.000 0.000 0.944 0.000 0.056 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 3 0.1327 0.8611 0.000 0.064 0.936 0.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.9193 0.000 0.000 0.000 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0508 0.9086 0.000 0.984 0.004 0.000 0.012 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4690 0.3487 0.000 0.552 0.048 0.000 0.400 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0000 0.9607 0.000 0.000 0.000 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 6 0.2969 0.6918 0.000 0.000 0.224 0.000 0.000 0.776
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0146 0.9103 0.000 0.996 0.004 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0146 0.9103 0.000 0.996 0.004 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.1765 0.8649 0.000 0.000 0.904 0.000 0.096 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.1267 0.8802 0.000 0.000 0.940 0.000 0.060 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4159 0.2763 0.000 0.588 0.396 0.000 0.016 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 6 0.3867 -0.0263 0.000 0.000 0.488 0.000 0.000 0.512
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0146 0.9587 0.000 0.004 0.000 0.000 0.996 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.1204 0.8763 0.000 0.000 0.944 0.000 0.000 0.056
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.9193 0.000 0.000 0.000 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0146 0.9103 0.000 0.996 0.004 0.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0865 0.9047 0.000 0.964 0.036 0.000 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.2591 0.8575 0.000 0.880 0.052 0.064 0.004 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2219 0.8637 0.136 0.000 0.000 0.864 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0000 0.9607 0.000 0.000 0.000 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.1267 0.8802 0.000 0.000 0.940 0.000 0.060 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3765 0.3432 0.596 0.000 0.000 0.000 0.000 0.404
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 6 0.0146 0.9415 0.000 0.000 0.004 0.000 0.000 0.996
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1563 0.8754 0.000 0.932 0.012 0.000 0.056 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.1333 0.8781 0.000 0.000 0.944 0.000 0.008 0.048
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.1471 0.8612 0.000 0.064 0.932 0.000 0.000 0.004
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0458 0.9097 0.000 0.984 0.000 0.000 0.016 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.1285 0.8977 0.000 0.944 0.052 0.004 0.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9367 1.000 0.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.2003 0.8509 0.000 0.000 0.884 0.000 0.116 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.0000 0.9607 0.000 0.000 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.1141 0.8871 0.948 0.000 0.000 0.000 0.000 0.052
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#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9193 0.000 0.000 0.000 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.1204 0.8763 0.000 0.000 0.944 0.000 0.000 0.056
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0146 0.9103 0.000 0.996 0.004 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 6 0.0000 0.9424 0.000 0.000 0.000 0.000 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.3390 0.5819 0.000 0.296 0.704 0.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0146 0.9108 0.000 0.996 0.000 0.000 0.004 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.2597 0.7985 0.000 0.000 0.824 0.000 0.176 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3851 0.2041 0.000 0.000 0.540 0.000 0.000 0.460
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 6 0.1007 0.9117 0.000 0.000 0.044 0.000 0.000 0.956
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0865 0.9047 0.000 0.964 0.036 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "pam"]
# you can also extract it by
# res = res_list["CV:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17420 rows and 500 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 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 0.893 0.942 0.975 0.4532 0.542 0.542
#> 3 3 0.855 0.840 0.914 0.1867 0.921 0.855
#> 4 4 0.908 0.880 0.955 0.1436 0.881 0.755
#> 5 5 0.728 0.720 0.874 0.2376 0.844 0.594
#> 6 6 0.736 0.763 0.858 0.0446 0.910 0.657
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.951900 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.951900 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.951900 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.985346 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.4431 0.900598 0.908 0.092
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.985346 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.951900 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.985346 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.951900 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.951900 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.4562 0.879863 0.096 0.904
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.4815 0.891540 0.896 0.104
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.985346 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.951900 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.985346 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.985346 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4161 0.905962 0.916 0.084
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.985346 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.985346 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.985346 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.985346 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.985346 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.985346 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.951900 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.985346 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.985346 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.985346 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.985346 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0000 0.985346 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.985346 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.985346 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.4690 0.894657 0.900 0.100
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.985346 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.985346 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.985346 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.951900 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.985346 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.985346 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.951900 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.985346 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.985346 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.985346 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.985346 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.985346 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.951900 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.985346 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.7453 0.725335 0.212 0.788
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.985346 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.951900 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.985346 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.985346 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.9881 0.258618 0.564 0.436
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.951900 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.951900 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.951900 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.985346 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.951900 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.985346 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.985346 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.7950 0.724996 0.760 0.240
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.951900 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.951900 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.985346 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4431 0.900479 0.908 0.092
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.951900 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.985346 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.985346 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.951900 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.951900 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.985346 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.951900 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.985346 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.951900 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.951900 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.985346 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.985346 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.9850 0.182001 0.428 0.572
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.2236 0.948031 0.036 0.964
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.951900 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.985346 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.985346 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.8955 0.571321 0.688 0.312
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.951900 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.985346 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.951900 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.951900 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.951900 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.985346 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.4815 0.891540 0.896 0.104
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.985346 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.5519 0.868283 0.872 0.128
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.985346 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.4690 0.894695 0.900 0.100
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.985346 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.985346 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.9983 -0.000517 0.476 0.524
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.951900 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.985346 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.985346 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.985346 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.951900 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.985346 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.985346 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.985346 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.951900 1.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.0000 0.985346 0.000 1.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.985346 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.985346 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 2 0.0000 0.985346 0.000 1.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.951900 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.985346 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.8861 0.586952 0.696 0.304
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.951900 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.985346 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.985346 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.4161 0.906081 0.916 0.084
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.9996 0.008866 0.488 0.512
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.7453 0.743919 0.788 0.212
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.985346 0.000 1.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.985346 0.000 1.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 2 0.8608 0.599305 0.284 0.716
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.0000 0.985346 0.000 1.000
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#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.985346 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.985346 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.985346 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.985346 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.985346 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 3 0.6180 0.7130 0.416 0.000 0.584
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2796 0.8091 0.908 0.000 0.092
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 3 0.6180 0.7130 0.416 0.000 0.584
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9502 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0747 0.8893 0.984 0.016 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0747 0.9423 0.000 0.984 0.016
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0747 0.8893 0.984 0.016 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9502 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 3 0.6180 0.7130 0.416 0.000 0.584
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.5178 0.4813 0.744 0.000 0.256
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.3816 0.4605 0.000 0.148 0.852
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0747 0.8893 0.984 0.016 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.6095 0.5067 0.000 0.608 0.392
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2625 0.8183 0.916 0.000 0.084
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9502 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0237 0.9485 0.000 0.996 0.004
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0747 0.8893 0.984 0.016 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9502 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9502 0.000 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9502 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.1289 0.9324 0.000 0.968 0.032
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.9502 0.000 1.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9502 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 3 0.5988 0.6986 0.368 0.000 0.632
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9502 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0747 0.9423 0.000 0.984 0.016
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9502 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.1289 0.9324 0.000 0.968 0.032
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6180 0.4670 0.000 0.584 0.416
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9502 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.9502 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0747 0.8893 0.984 0.016 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9502 0.000 1.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9502 0.000 1.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.9502 0.000 1.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0892 0.8716 0.980 0.000 0.020
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9502 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9502 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.0747 0.5901 0.016 0.000 0.984
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.6180 0.4670 0.000 0.584 0.416
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9502 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9502 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0747 0.9423 0.000 0.984 0.016
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9502 0.000 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 3 0.6180 0.7130 0.416 0.000 0.584
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0747 0.9423 0.000 0.984 0.016
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.6298 0.0572 0.004 0.388 0.608
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.9502 0.000 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 3 0.6180 0.7130 0.416 0.000 0.584
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9502 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9502 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8939 -0.1645 0.436 0.440 0.124
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0747 0.8734 0.984 0.000 0.016
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0747 0.8893 0.984 0.016 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.8793 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9502 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0747 0.8893 0.984 0.016 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0892 0.9402 0.000 0.980 0.020
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.9502 0.000 1.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.3879 0.6273 0.848 0.152 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0424 0.8853 0.992 0.008 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0747 0.8893 0.984 0.016 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9502 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0747 0.8893 0.984 0.016 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.2261 0.8347 0.932 0.000 0.068
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9502 0.000 1.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9502 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 3 0.6180 0.7130 0.416 0.000 0.584
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.4842 0.5697 0.776 0.000 0.224
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.9502 0.000 1.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0237 0.8826 0.996 0.004 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9502 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.2448 0.8215 0.924 0.000 0.076
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 3 0.6008 0.7001 0.372 0.000 0.628
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0747 0.9423 0.000 0.984 0.016
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.6168 0.4737 0.000 0.588 0.412
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.6168 0.2779 0.412 0.588 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.6309 0.2689 0.000 0.500 0.500
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 3 0.6180 0.7130 0.416 0.000 0.584
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.1163 0.9352 0.000 0.972 0.028
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9502 0.000 1.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.0592 0.5884 0.012 0.000 0.988
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.4887 0.5603 0.772 0.000 0.228
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9502 0.000 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 3 0.6180 0.7130 0.416 0.000 0.584
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 3 0.6180 0.7130 0.416 0.000 0.584
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.5882 0.0697 0.652 0.000 0.348
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9502 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0747 0.8893 0.984 0.016 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.9502 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.1289 0.8682 0.968 0.032 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0747 0.9423 0.000 0.984 0.016
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0747 0.8893 0.984 0.016 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.9502 0.000 1.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.9502 0.000 1.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.6252 0.1751 0.444 0.556 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 3 0.6180 0.7130 0.416 0.000 0.584
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0237 0.9485 0.000 0.996 0.004
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9502 0.000 1.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.9502 0.000 1.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 3 0.6154 0.7112 0.408 0.000 0.592
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9502 0.000 1.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9502 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0892 0.9402 0.000 0.980 0.020
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0747 0.8893 0.984 0.016 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.7309 0.4086 0.032 0.552 0.416
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0237 0.9476 0.004 0.996 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.9502 0.000 1.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 2 0.7232 0.3912 0.028 0.544 0.428
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 3 0.6180 0.7130 0.416 0.000 0.584
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.9502 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.0237 0.5845 0.004 0.000 0.996
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 3 0.6180 0.7130 0.416 0.000 0.584
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0747 0.9423 0.000 0.984 0.016
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.9502 0.000 1.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0747 0.8893 0.984 0.016 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.8307 0.1402 0.388 0.528 0.084
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.0747 0.5901 0.016 0.000 0.984
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0747 0.9423 0.000 0.984 0.016
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0237 0.9485 0.000 0.996 0.004
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.0237 0.5845 0.004 0.000 0.996
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.0592 0.9443 0.000 0.988 0.012
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0237 0.9485 0.000 0.996 0.004
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.9502 0.000 1.000 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9502 0.000 1.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.9502 0.000 1.000 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.9702 0.0668 0.364 0.220 0.416
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 3 0.6180 0.7130 0.416 0.000 0.584
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.6432 0.4368 0.004 0.568 0.428
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.0000 0.9502 0.000 1.000 0.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.9502 0.000 1.000 0.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0000 0.9502 0.000 1.000 0.000
#> F1565477-7479-4777-BD07-C6480B421166 2 0.0000 0.9502 0.000 1.000 0.000
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.9502 0.000 1.000 0.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.0000 0.9502 0.000 1.000 0.000
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0000 0.9502 0.000 1.000 0.000
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.0000 0.9502 0.000 1.000 0.000
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 2 0.0592 0.9417 0.012 0.988 0.000
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0747 0.8893 0.984 0.016 0.000
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.0000 0.8793 1.000 0.000 0.000
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 3 0.6180 0.7130 0.416 0.000 0.584
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.9502 0.000 1.000 0.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0747 0.9423 0.000 0.984 0.016
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.0747 0.9423 0.000 0.984 0.016
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.2599 0.8602 0.932 0.016 0.052
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.3425 0.7876 0.884 0.004 0.112
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 1 0.4654 0.4967 0.792 0.208 0.000
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0237 0.8786 0.996 0.000 0.004
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.2959 0.7996 0.900 0.000 0.100
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.9502 0.000 1.000 0.000
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.0000 0.9502 0.000 1.000 0.000
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.0747 0.9423 0.000 0.984 0.016
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 3 0.6267 0.6422 0.452 0.000 0.548
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 1 0.0747 0.8893 0.984 0.016 0.000
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 1 0.0747 0.8893 0.984 0.016 0.000
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.0747 0.9423 0.000 0.984 0.016
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.0000 0.9502 0.000 1.000 0.000
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 2 0.0000 0.9502 0.000 1.000 0.000
#> 7475BE15-F19F-4C98-B729-409A97F6A025 2 0.6180 0.4670 0.000 0.584 0.416
#> B2922217-970B-4E13-9E4E-531B80D5E62C 1 0.4291 0.6687 0.820 0.000 0.180
#> AB4D330F-6916-48DE-AF36-D00237C16020 2 0.0000 0.9502 0.000 1.000 0.000
#> 7FE613B0-A54B-4EB8-9353-DB1A34A04EE9 2 0.0000 0.9502 0.000 1.000 0.000
#> 3BF09B08-8A78-466E-9591-8784B464FC8A 2 0.0000 0.9502 0.000 1.000 0.000
#> FB6DF66B-78C8-46C0-AC38-12827F9CEE1E 2 0.0592 0.9445 0.000 0.988 0.012
#> 3FFCB13B-6E8C-49E8-835A-F1AD78A1108C 2 0.0000 0.9502 0.000 1.000 0.000
#> 111E8106-FA71-4E3A-AE6F-9962FA2D81B1 3 0.6225 0.6843 0.432 0.000 0.568
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#> F8E79C86-05B7-476C-9361-23C9C8FEB80C 2 0.0000 0.9502 0.000 1.000 0.000
#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.0000 0.9502 0.000 1.000 0.000
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.0237 0.9485 0.000 0.996 0.004
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.0747 0.9423 0.000 0.984 0.016
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.0000 0.9502 0.000 1.000 0.000
#> C0133A01-0F93-4306-954E-A725AE8B56C3 2 0.0000 0.9502 0.000 1.000 0.000
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.6180 0.4670 0.000 0.584 0.416
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.0000 0.9502 0.000 1.000 0.000
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.3116 0.7897 0.892 0.000 0.108
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.0000 0.9502 0.000 1.000 0.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0000 0.9502 0.000 1.000 0.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0000 0.9502 0.000 1.000 0.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.0747 0.9423 0.000 0.984 0.016
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.0000 0.9502 0.000 1.000 0.000
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 3 0.6180 0.7130 0.416 0.000 0.584
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.1163 0.9352 0.000 0.972 0.028
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0747 0.8893 0.984 0.016 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0747 0.8893 0.984 0.016 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.9502 0.000 1.000 0.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0747 0.9423 0.000 0.984 0.016
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.2261 0.9033 0.000 0.932 0.068
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0747 0.8893 0.984 0.016 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9502 0.000 1.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0000 0.9502 0.000 1.000 0.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.9502 0.000 1.000 0.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.6215 0.4440 0.000 0.572 0.428
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 3 0.6062 0.7041 0.384 0.000 0.616
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9502 0.000 1.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0237 0.9485 0.000 0.996 0.004
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.9502 0.000 1.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9502 0.000 1.000 0.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.3267 0.7772 0.884 0.000 0.116
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0237 0.8826 0.996 0.004 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.5254 0.4081 0.736 0.264 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.9502 0.000 1.000 0.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.9502 0.000 1.000 0.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.6299 0.0931 0.524 0.476 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9502 0.000 1.000 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.0237 0.5845 0.004 0.000 0.996
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.9502 0.000 1.000 0.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0747 0.8893 0.984 0.016 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0747 0.9423 0.000 0.984 0.016
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9502 0.000 1.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0747 0.8893 0.984 0.016 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9502 0.000 1.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.9502 0.000 1.000 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0747 0.9423 0.000 0.984 0.016
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.0747 0.8893 0.984 0.016 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9502 0.000 1.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0424 0.8853 0.992 0.008 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9502 0.000 1.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9502 0.000 1.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.9502 0.000 1.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.1753 0.8521 0.952 0.000 0.048
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9502 0.000 1.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 3 0.6180 0.7130 0.416 0.000 0.584
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9502 0.000 1.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9502 0.000 1.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.9502 0.000 1.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.9502 0.000 1.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9502 0.000 1.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9502 0.000 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.4062 0.7288 0.836 0.000 0.164
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9502 0.000 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9502 0.000 1.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.6295 0.0794 0.472 0.528 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9502 0.000 1.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 3 0.6225 0.6838 0.432 0.000 0.568
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9502 0.000 1.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9502 0.000 1.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.2448 0.8272 0.924 0.000 0.076
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.9502 0.000 1.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.1289 0.5944 0.032 0.000 0.968
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.9502 0.000 1.000 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9502 0.000 1.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.6180 0.4670 0.000 0.584 0.416
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.6888 0.4066 0.016 0.552 0.432
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9502 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.2959 0.8741 0.000 0.900 0.100
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0747 0.8893 0.984 0.016 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.5178 0.3907 0.744 0.256 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0237 0.9485 0.000 0.996 0.004
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.9502 0.000 1.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.6180 0.4670 0.000 0.584 0.416
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9502 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0237 0.9485 0.000 0.996 0.004
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9502 0.000 1.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.5905 0.6920 0.352 0.000 0.648
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 3 0.6180 0.7130 0.416 0.000 0.584
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.3030 0.5154 0.004 0.092 0.904
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9502 0.000 1.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.6180 0.4670 0.000 0.584 0.416
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9502 0.000 1.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.2625 0.8184 0.916 0.000 0.084
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0747 0.8893 0.984 0.016 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2066 0.8425 0.940 0.000 0.060
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.0747 0.5901 0.016 0.000 0.984
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0747 0.9423 0.000 0.984 0.016
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9502 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9502 0.000 1.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0747 0.8893 0.984 0.016 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 3 0.6180 0.7130 0.416 0.000 0.584
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0747 0.9423 0.000 0.984 0.016
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9502 0.000 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.3482 0.7594 0.872 0.000 0.128
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9502 0.000 1.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.6180 0.4670 0.000 0.584 0.416
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 3 0.6180 0.7130 0.416 0.000 0.584
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0237 0.9485 0.000 0.996 0.004
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9502 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9502 0.000 1.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0747 0.8893 0.984 0.016 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 3 0.6180 0.7130 0.416 0.000 0.584
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.9502 0.000 1.000 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 3 0.6180 0.7130 0.416 0.000 0.584
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.0747 0.5901 0.016 0.000 0.984
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.0747 0.5901 0.016 0.000 0.984
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9502 0.000 1.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9502 0.000 1.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0592 0.8876 0.988 0.012 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9502 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.1753 0.8485 0.952 0.048 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 3 0.6286 0.6133 0.464 0.000 0.536
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9502 0.000 1.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9502 0.000 1.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0747 0.8893 0.984 0.016 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.6180 0.4670 0.000 0.584 0.416
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0747 0.9423 0.000 0.984 0.016
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.1774 0.9281 0.016 0.960 0.024
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9502 0.000 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0747 0.8893 0.984 0.016 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0747 0.8893 0.984 0.016 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9502 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0747 0.9423 0.000 0.984 0.016
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9502 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.2878 0.7592 0.904 0.096 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.6180 0.4670 0.000 0.584 0.416
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9502 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9502 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0747 0.8893 0.984 0.016 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0747 0.9423 0.000 0.984 0.016
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2165 0.8390 0.936 0.000 0.064
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9502 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0237 0.9485 0.000 0.996 0.004
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.1751 0.8761 0.960 0.012 0.028
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 3 0.6180 0.7130 0.416 0.000 0.584
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0237 0.9485 0.000 0.996 0.004
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8793 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0747 0.9423 0.000 0.984 0.016
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6180 0.4670 0.000 0.584 0.416
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9502 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.1289 0.9324 0.000 0.968 0.032
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9502 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9502 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9502 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.1163 0.9352 0.000 0.972 0.028
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.6180 0.4670 0.000 0.584 0.416
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9502 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2589 0.8251 0.116 0.000 0.000 0.884
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1211 0.8764 0.960 0.000 0.000 0.040
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0000 0.9024 0.000 0.000 0.000 1.000
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#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> C0133A01-0F93-4306-954E-A725AE8B56C3 2 0.0188 0.9794 0.000 0.996 0.000 0.004
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 4 0.3074 0.7875 0.152 0.000 0.000 0.848
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 3 0.4981 0.2647 0.000 0.464 0.536 0.000
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0336 0.9769 0.000 0.992 0.008 0.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 3 0.4925 0.3567 0.000 0.428 0.572 0.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.0188 0.8998 0.000 0.004 0.000 0.996
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.3837 0.6943 0.224 0.000 0.000 0.776
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.2814 0.7451 0.000 0.132 0.000 0.868
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.4661 0.4037 0.000 0.348 0.000 0.652
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.1302 0.8799 0.044 0.000 0.000 0.956
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.4360 0.6514 0.248 0.000 0.008 0.744
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.4830 0.3454 0.000 0.392 0.000 0.608
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.2011 0.8562 0.080 0.000 0.000 0.920
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0188 0.9095 0.996 0.000 0.004 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.4907 0.3744 0.000 0.420 0.580 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.3975 0.5759 0.000 0.240 0.000 0.760
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.2281 0.8432 0.096 0.000 0.000 0.904
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1716 0.8681 0.064 0.000 0.000 0.936
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.3444 0.5685 0.184 0.000 0.816 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.4103 0.6453 0.256 0.000 0.000 0.744
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.4981 0.3081 0.536 0.000 0.464 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.2408 0.6839 0.104 0.000 0.896 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3311 0.7654 0.000 0.828 0.172 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0817 0.8838 0.000 0.024 0.000 0.976
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.0927 0.9612 0.000 0.976 0.008 0.016
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0188 0.9800 0.000 0.996 0.004 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.2149 0.8098 0.000 0.088 0.000 0.912
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.3569 0.7285 0.000 0.804 0.196 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1716 0.8681 0.064 0.000 0.000 0.936
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.3569 0.7285 0.000 0.804 0.196 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0921 0.8894 0.028 0.000 0.000 0.972
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9129 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9024 0.000 0.000 0.000 1.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.2973 0.8101 0.000 0.856 0.144 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4843 0.2358 0.000 0.604 0.396 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9826 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4981 0.2647 0.000 0.464 0.536 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.8028 0.000 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9826 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.91769 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2127 0.84565 0.108 0.000 0.000 0.892 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.91769 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2280 0.76642 0.000 0.120 0.000 0.000 0.880
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0290 0.90630 0.000 0.008 0.000 0.992 0.000
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#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.2424 0.78195 0.000 0.868 0.000 0.000 0.132
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.1043 0.80278 0.000 0.960 0.000 0.000 0.040
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.90961 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.84412 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0162 0.82596 0.000 0.004 0.000 0.000 0.996
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 5 0.2074 0.79529 0.000 0.004 0.060 0.016 0.920
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.1671 0.79899 0.000 0.924 0.000 0.000 0.076
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.90961 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.90961 0.000 0.000 0.000 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3074 0.75538 0.000 0.804 0.000 0.000 0.196
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.0162 0.82596 0.000 0.004 0.000 0.000 0.996
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.2329 0.76341 0.000 0.124 0.000 0.000 0.876
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.2769 0.80572 0.000 0.032 0.000 0.876 0.092
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0703 0.83809 0.000 0.024 0.976 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0963 0.80198 0.000 0.964 0.000 0.000 0.036
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2732 0.77711 0.000 0.840 0.000 0.000 0.160
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.90961 0.000 0.000 0.000 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.5240 0.50239 0.000 0.096 0.244 0.000 0.660
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1341 0.88429 0.056 0.000 0.000 0.944 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.2329 0.76341 0.000 0.124 0.000 0.000 0.876
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.3480 0.58126 0.000 0.000 0.248 0.000 0.752
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0794 0.89848 0.028 0.000 0.000 0.972 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.91769 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0162 0.82596 0.000 0.004 0.000 0.000 0.996
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.90961 0.000 0.000 0.000 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0798 0.81605 0.000 0.008 0.016 0.000 0.976
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0290 0.84443 0.000 0.008 0.992 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1270 0.80245 0.000 0.948 0.000 0.000 0.052
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.5181 0.40173 0.000 0.052 0.588 0.000 0.360
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 5 0.4262 -0.01816 0.000 0.440 0.000 0.000 0.560
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0963 0.80198 0.000 0.964 0.000 0.000 0.036
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1792 0.77269 0.000 0.084 0.000 0.000 0.916
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4555 0.22291 0.000 0.008 0.520 0.000 0.472
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0451 0.84435 0.000 0.008 0.988 0.000 0.004
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.2127 0.79214 0.000 0.892 0.000 0.000 0.108
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2728 0.8444 0.100 0.000 0.040 0.860 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2573 0.7641 0.000 0.112 0.024 0.000 0.864 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0405 0.8998 0.000 0.008 0.004 0.988 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2618 0.7622 0.000 0.116 0.024 0.000 0.860 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1204 0.8819 0.944 0.000 0.000 0.056 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0146 0.9017 0.000 0.000 0.000 0.996 0.004 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 6 0.3738 0.7949 0.000 0.016 0.280 0.000 0.000 0.704
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1556 0.8673 0.080 0.000 0.000 0.920 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4953 0.7172 0.000 0.172 0.652 0.000 0.176 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.2632 0.7963 0.000 0.832 0.004 0.000 0.164 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0937 0.8945 0.000 0.000 0.040 0.960 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1349 0.8427 0.000 0.940 0.004 0.000 0.056 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.2911 0.7570 0.000 0.144 0.024 0.000 0.832 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0146 0.7758 0.000 0.000 0.004 0.000 0.996 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.4754 0.5395 0.000 0.016 0.276 0.000 0.656 0.052
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0692 0.8438 0.000 0.976 0.004 0.000 0.020 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0914 0.8410 0.000 0.968 0.016 0.000 0.016 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1327 0.8439 0.000 0.936 0.000 0.000 0.064 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.4810 0.5354 0.000 0.016 0.276 0.000 0.652 0.056
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.2165 0.8633 0.000 0.008 0.108 0.000 0.000 0.884
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3432 0.7202 0.000 0.764 0.020 0.000 0.216 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3309 0.8363 0.000 0.000 0.720 0.000 0.280 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0806 0.8438 0.000 0.972 0.008 0.000 0.020 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 5 0.3879 0.6601 0.000 0.292 0.020 0.000 0.688 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 5 0.4964 0.6604 0.000 0.160 0.024 0.120 0.696 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0363 0.9002 0.012 0.000 0.000 0.988 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.4252 0.4128 0.000 0.372 0.024 0.000 0.604 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3607 0.8064 0.000 0.000 0.652 0.000 0.348 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 6 0.1075 0.8482 0.048 0.000 0.000 0.000 0.000 0.952
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 6 0.3738 0.7949 0.000 0.016 0.280 0.000 0.000 0.704
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1714 0.8391 0.000 0.908 0.000 0.000 0.092 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.3563 0.8157 0.000 0.000 0.664 0.000 0.336 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.2805 0.7957 0.000 0.828 0.012 0.000 0.160 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.3743 0.5740 0.000 0.724 0.024 0.000 0.252 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 5 0.3353 0.7338 0.000 0.080 0.016 0.000 0.836 0.068
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0146 0.8774 0.000 0.000 0.000 0.000 0.004 0.996
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 5 0.2624 0.7655 0.000 0.124 0.020 0.000 0.856 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.0713 0.7576 0.000 0.000 0.028 0.000 0.972 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.1349 0.7803 0.000 0.056 0.004 0.000 0.940 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.3139 0.7616 0.120 0.836 0.008 0.000 0.036 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0260 0.9009 0.008 0.000 0.000 0.992 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0603 0.8420 0.000 0.980 0.004 0.000 0.016 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4195 0.7647 0.000 0.040 0.768 0.000 0.148 0.044
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 5 0.0806 0.7816 0.000 0.020 0.008 0.000 0.972 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.4533 0.7315 0.000 0.072 0.056 0.756 0.116 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.4022 0.7711 0.000 0.108 0.064 0.792 0.036 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1204 0.8818 0.056 0.000 0.000 0.944 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.3023 0.5276 0.000 0.232 0.000 0.000 0.768 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.0508 0.7795 0.000 0.012 0.004 0.000 0.984 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3747 0.3888 0.396 0.000 0.000 0.604 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 5 0.3855 0.6767 0.000 0.272 0.024 0.000 0.704 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.2632 0.7953 0.000 0.832 0.004 0.000 0.164 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.2562 0.7722 0.172 0.000 0.000 0.828 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3830 0.8085 0.000 0.000 0.744 0.000 0.212 0.044
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 6 0.3797 0.7852 0.000 0.016 0.292 0.000 0.000 0.692
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.5817 0.1557 0.000 0.140 0.012 0.500 0.348 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.1807 0.5554 0.000 0.000 0.920 0.000 0.020 0.060
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.2164 0.5617 0.000 0.016 0.912 0.000 0.028 0.044
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1700 0.8320 0.000 0.928 0.024 0.000 0.048 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.3864 0.1327 0.480 0.000 0.000 0.520 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.1092 0.8411 0.000 0.960 0.020 0.000 0.020 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.3266 0.6529 0.272 0.000 0.000 0.728 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.3812 0.6852 0.000 0.264 0.024 0.000 0.712 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0937 0.8945 0.000 0.000 0.040 0.960 0.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.4377 0.2090 0.000 0.436 0.024 0.000 0.540 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.1644 0.8656 0.000 0.052 0.012 0.932 0.004 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 5 0.4010 0.2045 0.000 0.408 0.008 0.000 0.584 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.3969 0.4352 0.000 0.668 0.020 0.000 0.312 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0603 0.8423 0.000 0.980 0.004 0.000 0.016 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.1471 0.7456 0.000 0.064 0.004 0.000 0.932 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0547 0.8434 0.000 0.980 0.000 0.000 0.020 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.1010 0.8454 0.000 0.960 0.004 0.000 0.036 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.3782 0.5139 0.000 0.588 0.000 0.000 0.412 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.3151 0.8288 0.000 0.000 0.748 0.000 0.252 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 5 0.4111 0.6506 0.000 0.296 0.024 0.004 0.676 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.0146 0.7758 0.000 0.000 0.004 0.000 0.996 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
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#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.1285 0.8428 0.000 0.944 0.004 0.000 0.052 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.2662 0.7617 0.000 0.120 0.024 0.000 0.856 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1003 0.8420 0.000 0.964 0.016 0.000 0.020 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.5640 0.3616 0.200 0.000 0.000 0.532 0.000 0.268
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.3619 0.6309 0.000 0.680 0.004 0.000 0.316 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.0146 0.7758 0.000 0.000 0.004 0.000 0.996 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.5445 0.3616 0.000 0.108 0.012 0.572 0.308 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1092 0.8411 0.000 0.960 0.020 0.000 0.020 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.2793 0.7741 0.000 0.800 0.000 0.000 0.200 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0458 0.8421 0.000 0.984 0.000 0.000 0.016 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.2420 0.8621 0.076 0.000 0.040 0.884 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 5 0.3315 0.7142 0.000 0.200 0.020 0.000 0.780 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2941 0.7023 0.780 0.000 0.000 0.000 0.000 0.220
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 5 0.2669 0.7676 0.000 0.108 0.024 0.004 0.864 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.3062 0.7455 0.000 0.160 0.024 0.000 0.816 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 6 0.3320 0.8328 0.000 0.016 0.212 0.000 0.000 0.772
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.1010 0.8454 0.000 0.960 0.004 0.000 0.036 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.6053 0.3313 0.000 0.016 0.284 0.000 0.508 0.192
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.2623 0.7975 0.000 0.132 0.016 0.852 0.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.4086 0.7466 0.000 0.040 0.052 0.784 0.124 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3288 0.8361 0.000 0.000 0.724 0.000 0.276 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0777 0.8444 0.000 0.972 0.004 0.000 0.024 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 6 0.3717 0.7968 0.000 0.016 0.276 0.000 0.000 0.708
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.3876 0.6264 0.000 0.700 0.024 0.000 0.276 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 5 0.3840 0.6682 0.000 0.284 0.020 0.000 0.696 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0547 0.9290 0.980 0.000 0.000 0.000 0.000 0.020
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.2092 0.6926 0.000 0.124 0.000 0.000 0.876 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 6 0.3717 0.7968 0.000 0.016 0.276 0.000 0.000 0.708
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1564 0.8355 0.000 0.936 0.024 0.000 0.040 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.2436 0.8567 0.088 0.000 0.032 0.880 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1204 0.8819 0.056 0.000 0.000 0.944 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 6 0.0363 0.8748 0.012 0.000 0.000 0.000 0.000 0.988
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0858 0.8457 0.000 0.968 0.004 0.000 0.028 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1092 0.8416 0.000 0.960 0.020 0.000 0.020 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.0405 0.7794 0.000 0.008 0.004 0.000 0.988 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.2996 0.7103 0.228 0.000 0.000 0.772 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 5 0.3840 0.6700 0.000 0.284 0.020 0.000 0.696 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 6 0.3738 0.7949 0.000 0.016 0.280 0.000 0.000 0.704
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0858 0.8451 0.000 0.968 0.004 0.000 0.028 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 5 0.4199 0.4313 0.000 0.416 0.016 0.000 0.568 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 5 0.4039 0.5638 0.000 0.352 0.016 0.000 0.632 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 6 0.1007 0.8509 0.044 0.000 0.000 0.000 0.000 0.956
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 6 0.0000 0.8802 0.000 0.000 0.000 0.000 0.000 1.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.2871 0.7777 0.000 0.804 0.004 0.000 0.192 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.4169 0.7960 0.000 0.020 0.748 0.000 0.188 0.044
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0458 0.8421 0.000 0.984 0.000 0.000 0.016 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0976 0.8927 0.000 0.008 0.008 0.968 0.016 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.2053 0.8198 0.000 0.888 0.004 0.000 0.108 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0972 0.8449 0.000 0.964 0.008 0.000 0.028 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0937 0.8945 0.000 0.000 0.040 0.960 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 6 0.3290 0.8341 0.000 0.016 0.208 0.000 0.000 0.776
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 5 0.2230 0.7627 0.000 0.000 0.064 0.016 0.904 0.016
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.1075 0.8451 0.000 0.952 0.000 0.000 0.048 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0146 0.9018 0.000 0.004 0.000 0.996 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2562 0.7917 0.000 0.828 0.000 0.000 0.172 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.0632 0.7757 0.000 0.000 0.024 0.000 0.976 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.2618 0.7622 0.000 0.116 0.024 0.000 0.860 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.2900 0.8002 0.000 0.044 0.008 0.860 0.088 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 6 0.3348 0.8319 0.000 0.016 0.216 0.000 0.000 0.768
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0603 0.8420 0.000 0.980 0.004 0.000 0.016 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2219 0.8191 0.000 0.864 0.000 0.000 0.136 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3941 0.8064 0.000 0.004 0.744 0.000 0.208 0.044
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1204 0.8822 0.056 0.000 0.000 0.944 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.2618 0.7622 0.000 0.116 0.024 0.000 0.860 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.3858 0.8094 0.000 0.000 0.740 0.000 0.216 0.044
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0972 0.8955 0.028 0.000 0.008 0.964 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9465 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0000 0.7759 0.000 0.000 0.000 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9024 0.000 0.000 0.000 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3490 0.8351 0.000 0.000 0.724 0.000 0.268 0.008
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.3261 0.8353 0.000 0.016 0.204 0.000 0.000 0.780
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0713 0.8459 0.000 0.972 0.000 0.000 0.028 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.5355 0.5555 0.000 0.052 0.244 0.000 0.640 0.064
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.4906 0.7510 0.000 0.136 0.652 0.000 0.212 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1176 0.8443 0.000 0.956 0.020 0.000 0.024 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.2431 0.6774 0.000 0.132 0.008 0.000 0.860 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3590 0.6072 0.000 0.016 0.808 0.000 0.132 0.044
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 6 0.4258 0.5551 0.000 0.016 0.468 0.000 0.000 0.516
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1806 0.8308 0.000 0.908 0.004 0.000 0.088 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "mclust"]
# you can also extract it by
# res = res_list["CV:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.388 0.773 0.878 0.4831 0.503 0.503
#> 3 3 0.508 0.615 0.831 0.2652 0.846 0.709
#> 4 4 0.558 0.595 0.772 0.1691 0.821 0.599
#> 5 5 0.612 0.551 0.753 0.0699 0.871 0.616
#> 6 6 0.652 0.504 0.679 0.0461 0.895 0.623
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.82109 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.5946 0.82455 0.856 0.144
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.82109 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.88729 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.9129 0.65384 0.672 0.328
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.7376 0.78941 0.208 0.792
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.5946 0.82455 0.856 0.144
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.88729 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.82109 1.000 0.000
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#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.1633 0.87387 0.024 0.976
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.6531 0.81422 0.832 0.168
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.9522 0.55185 0.372 0.628
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.88729 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.5946 0.82455 0.856 0.144
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.88729 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.88729 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.7745 0.77267 0.228 0.772
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.7815 0.76182 0.768 0.232
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.88729 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.5946 0.82455 0.856 0.144
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.88729 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.88729 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.88729 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.5946 0.82455 0.856 0.144
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.88729 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.82109 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.88729 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.88729 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.88729 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.9129 0.44846 0.672 0.328
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.88729 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.88729 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0376 0.82134 0.996 0.004
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.88729 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.88729 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.9129 0.40233 0.328 0.672
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.88729 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.82109 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.3114 0.85813 0.056 0.944
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.88729 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.5946 0.82455 0.856 0.144
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.9732 0.47628 0.404 0.596
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0376 0.82134 0.996 0.004
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.8661 0.51157 0.288 0.712
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.88729 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 1 0.9686 0.24455 0.604 0.396
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.0376 0.82134 0.996 0.004
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.88729 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.8861 0.67731 0.304 0.696
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.8713 0.70126 0.708 0.292
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.8608 0.70384 0.716 0.284
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.5737 0.82301 0.136 0.864
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.88729 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 1 0.9909 0.06550 0.556 0.444
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.88729 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.88729 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.88729 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0376 0.82134 0.996 0.004
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.82109 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0376 0.82134 0.996 0.004
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.88729 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 1 0.9909 0.06550 0.556 0.444
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0938 0.88094 0.012 0.988
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.5946 0.82455 0.856 0.144
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.5946 0.82455 0.856 0.144
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.5946 0.82455 0.856 0.144
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.6531 0.70400 0.832 0.168
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.7139 0.79844 0.196 0.804
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.88729 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.4690 0.80506 0.100 0.900
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.5946 0.82455 0.856 0.144
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.82109 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.7376 0.78941 0.208 0.792
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.6343 0.82234 0.160 0.840
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.5946 0.82455 0.856 0.144
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.6973 0.68217 0.188 0.812
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.9933 0.03041 0.548 0.452
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.82109 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.88729 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.6438 0.74419 0.164 0.836
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.88729 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.5946 0.82455 0.856 0.144
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.82109 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.9933 0.37503 0.548 0.452
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.82109 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0376 0.82134 0.996 0.004
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0376 0.82134 0.996 0.004
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.88729 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.9866 0.38547 0.432 0.568
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.5946 0.82455 0.856 0.144
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.88729 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.9087 0.65973 0.676 0.324
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.82109 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.9393 0.23424 0.356 0.644
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.4431 0.81559 0.092 0.908
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.5946 0.82455 0.856 0.144
#> EAA457D5-032F-49D0-8D27-A841EB248964 1 0.9286 0.39501 0.656 0.344
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.7376 0.78941 0.208 0.792
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.3114 0.80011 0.944 0.056
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.7376 0.76904 0.208 0.792
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.5946 0.82455 0.856 0.144
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.8763 0.69755 0.704 0.296
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.6973 0.80464 0.188 0.812
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.7376 0.78941 0.208 0.792
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.88729 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.9522 0.58100 0.628 0.372
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.9998 -0.14518 0.508 0.492
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.88729 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.88729 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.5946 0.82455 0.856 0.144
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.9850 0.13082 0.572 0.428
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.5946 0.82455 0.856 0.144
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.88729 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.9323 0.59224 0.348 0.652
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.5946 0.82455 0.856 0.144
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.82109 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2603 0.87298 0.044 0.956
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.5946 0.82455 0.856 0.144
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.5737 0.82301 0.136 0.864
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 1 0.9129 0.43407 0.672 0.328
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.88729 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.8661 0.70084 0.288 0.712
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5737 0.82301 0.136 0.864
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.88729 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.88729 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.8327 0.73408 0.264 0.736
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 1 0.9608 0.28247 0.616 0.384
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.88729 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 3 0.4346 0.614375 0.184 0.000 0.816
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.899619 1.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 3 0.5397 0.558157 0.280 0.000 0.720
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.775053 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.6154 0.198934 0.592 0.000 0.408
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5016 0.606957 0.000 0.760 0.240
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.899619 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.775053 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 3 0.6252 0.289850 0.444 0.000 0.556
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0237 0.896494 0.996 0.000 0.004
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.1753 0.666360 0.048 0.000 0.952
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.5254 0.504854 0.264 0.000 0.736
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.6309 0.089817 0.000 0.504 0.496
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.899619 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.775053 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0892 0.769591 0.000 0.980 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.899619 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1964 0.752502 0.056 0.944 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4750 0.636743 0.216 0.784 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.775053 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.6302 0.137161 0.000 0.520 0.480
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.9498 0.311535 0.300 0.216 0.484
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.4750 0.636836 0.216 0.784 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 3 0.4291 0.630182 0.180 0.000 0.820
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.775053 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4887 0.620665 0.000 0.772 0.228
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.775053 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.6280 0.191299 0.000 0.540 0.460
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0237 0.655912 0.000 0.004 0.996
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.775053 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.5216 0.586428 0.000 0.740 0.260
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.899619 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.4931 0.622066 0.232 0.768 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4605 0.647527 0.204 0.796 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.6026 0.392940 0.376 0.624 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.899619 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.775053 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.775053 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.1753 0.666360 0.048 0.000 0.952
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.6309 -0.077393 0.000 0.496 0.504
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.775053 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.1860 0.757765 0.000 0.948 0.052
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4842 0.625235 0.000 0.776 0.224
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.5591 0.527321 0.304 0.696 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 3 0.5905 0.493296 0.352 0.000 0.648
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6305 0.125274 0.000 0.516 0.484
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.1753 0.666360 0.048 0.000 0.952
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.5497 0.548643 0.292 0.708 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 3 0.5926 0.489004 0.356 0.000 0.644
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.775053 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.775053 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.2356 0.653009 0.072 0.000 0.928
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.899619 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.899619 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.899619 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.5098 0.606245 0.248 0.752 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1529 0.864066 0.960 0.000 0.040
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5497 0.545831 0.000 0.708 0.292
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#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1643 0.758147 0.044 0.956 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 3 0.2448 0.663909 0.076 0.000 0.924
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.775053 0.000 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.775053 0.000 1.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.8179 0.404018 0.352 0.564 0.084
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.775053 0.000 1.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4178 0.697782 0.828 0.000 0.172
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.4974 0.613406 0.000 0.764 0.236
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.4796 0.633192 0.220 0.780 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.899619 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.6305 0.125274 0.000 0.516 0.484
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.2356 0.664421 0.072 0.000 0.928
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.7393 0.619063 0.140 0.704 0.156
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0237 0.773921 0.004 0.996 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.5733 0.364247 0.000 0.324 0.676
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.1753 0.666360 0.048 0.000 0.952
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.775053 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.6309 -0.077393 0.000 0.496 0.504
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.1753 0.854371 0.952 0.000 0.048
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.2703 0.816888 0.928 0.056 0.016
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.1289 0.765852 0.000 0.968 0.032
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5881 0.596294 0.256 0.728 0.016
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.6280 0.035013 0.000 0.460 0.540
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.775053 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.775053 0.000 1.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.5138 0.602091 0.252 0.748 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.2261 0.664898 0.068 0.000 0.932
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 3 0.5926 0.489004 0.356 0.000 0.644
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.1753 0.666360 0.048 0.000 0.952
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.775053 0.000 1.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.6307 -0.052059 0.000 0.488 0.512
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.5363 0.573970 0.276 0.724 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.899619 1.000 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.899619 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.899619 1.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.0000 0.655924 0.000 0.000 1.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.4452 0.651038 0.000 0.808 0.192
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.775053 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.5216 0.593155 0.260 0.740 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.899619 1.000 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 3 0.5926 0.489004 0.356 0.000 0.644
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5138 0.593443 0.000 0.748 0.252
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.2959 0.730550 0.000 0.900 0.100
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.899619 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.5775 0.592426 0.260 0.728 0.012
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.6111 0.212933 0.000 0.396 0.604
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 3 0.5678 0.527308 0.316 0.000 0.684
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.775053 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.7199 0.575035 0.260 0.676 0.064
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.5216 0.593155 0.260 0.740 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.899619 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 3 0.5882 0.497351 0.348 0.000 0.652
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6954 0.082443 0.016 0.500 0.484
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 3 0.5905 0.493296 0.352 0.000 0.648
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.1753 0.666360 0.048 0.000 0.952
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.1753 0.666360 0.048 0.000 0.952
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.775053 0.000 1.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.6305 0.125274 0.000 0.516 0.484
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.899619 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3267 0.716029 0.116 0.884 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.6432 0.129955 0.568 0.004 0.428
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.6286 -0.071782 0.536 0.000 0.464
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.5138 0.602091 0.252 0.748 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5138 0.602091 0.252 0.748 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.899619 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5016 0.497061 0.000 0.240 0.760
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.5497 0.536519 0.000 0.708 0.292
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.8128 -0.005293 0.068 0.492 0.440
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.9608 0.310633 0.232 0.468 0.300
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.899619 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.5254 0.558556 0.736 0.000 0.264
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.5835 0.461972 0.000 0.660 0.340
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5138 0.593443 0.000 0.748 0.252
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0892 0.768761 0.020 0.980 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.9378 0.298281 0.336 0.184 0.480
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.6309 -0.077393 0.000 0.496 0.504
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2711 0.734136 0.088 0.912 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.775053 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.899619 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6295 -0.000373 0.000 0.472 0.528
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.899619 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.775053 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.6305 0.125274 0.000 0.516 0.484
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.899619 1.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 3 0.5926 0.489004 0.356 0.000 0.644
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.775053 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.899619 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4121 0.681596 0.000 0.832 0.168
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6095 0.219574 0.000 0.392 0.608
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2537 0.738905 0.080 0.920 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.6309 -0.089663 0.000 0.500 0.500
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1753 0.759381 0.000 0.952 0.048
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.5098 0.606503 0.248 0.752 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.775053 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.6295 0.160371 0.000 0.528 0.472
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.6235 0.105757 0.000 0.436 0.564
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4974 0.618121 0.236 0.764 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1182 0.8736 0.968 0.000 0.016 0.016
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3873 0.7248 0.228 0.000 0.000 0.772
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0707 0.8839 0.980 0.000 0.000 0.020
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.5607 -0.1797 0.020 0.000 0.484 0.496
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5183 0.3041 0.008 0.584 0.408 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.3610 0.7338 0.200 0.000 0.000 0.800
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1716 0.8371 0.936 0.000 0.000 0.064
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4804 0.4861 0.384 0.000 0.000 0.616
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.3837 0.6704 0.224 0.000 0.776 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.4525 0.7311 0.116 0.000 0.804 0.080
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.5480 0.6946 0.124 0.140 0.736 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3688 0.7317 0.208 0.000 0.000 0.792
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.1398 0.7187 0.004 0.956 0.040 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3893 0.6186 0.008 0.796 0.196 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.5496 0.5130 0.000 0.604 0.024 0.372
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.5536 0.5024 0.000 0.592 0.024 0.384
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.7076 0.2987 0.124 0.416 0.460 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.4999 0.4737 0.012 0.000 0.660 0.328
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.5582 0.4827 0.000 0.576 0.024 0.400
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2480 0.8130 0.904 0.000 0.088 0.008
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.2773 0.6716 0.004 0.880 0.116 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4990 0.3885 0.008 0.640 0.352 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0336 0.7270 0.000 0.992 0.008 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.7076 -0.1849 0.124 0.460 0.416 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.3494 0.7117 0.172 0.000 0.824 0.004
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.5257 0.2201 0.008 0.548 0.444 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.6701 0.4871 0.000 0.564 0.108 0.328
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.5582 0.4827 0.000 0.576 0.024 0.400
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.5671 -0.0919 0.000 0.400 0.028 0.572
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.1661 0.7076 0.004 0.944 0.052 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.4431 0.5737 0.304 0.000 0.696 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4635 0.7319 0.124 0.080 0.796 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0188 0.7271 0.000 0.996 0.004 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4877 0.4519 0.008 0.664 0.328 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5172 0.3181 0.008 0.588 0.404 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.5628 0.4522 0.000 0.556 0.024 0.420
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0707 0.8839 0.980 0.000 0.000 0.020
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.2255 0.7179 0.012 0.000 0.920 0.068
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.3873 0.6664 0.228 0.000 0.772 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6354 0.4105 0.000 0.520 0.064 0.416
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0817 0.8837 0.976 0.000 0.000 0.024
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0188 0.7276 0.000 0.996 0.004 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.4127 0.7347 0.124 0.000 0.824 0.052
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.5611 0.4653 0.000 0.564 0.024 0.412
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4630 0.7226 0.196 0.000 0.036 0.768
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.2384 0.7066 0.008 0.072 0.916 0.004
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.6529 0.3368 0.012 0.052 0.544 0.392
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.4546 0.6905 0.256 0.000 0.012 0.732
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.6824 0.4496 0.336 0.000 0.116 0.548
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.2589 0.7219 0.116 0.000 0.000 0.884
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.4567 0.6709 0.276 0.000 0.008 0.716
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3975 0.7179 0.240 0.000 0.000 0.760
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0188 0.7271 0.000 0.996 0.004 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0817 0.8837 0.976 0.000 0.000 0.024
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#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0927 0.7242 0.000 0.976 0.016 0.008
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.4776 0.5045 0.376 0.000 0.000 0.624
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.5536 0.5024 0.000 0.592 0.024 0.384
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0895 0.8828 0.976 0.000 0.004 0.020
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.3052 0.6699 0.004 0.860 0.136 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 3 0.2179 0.7191 0.012 0.000 0.924 0.064
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.5592 0.4772 0.000 0.572 0.024 0.404
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 3 0.4818 0.6851 0.216 0.000 0.748 0.036
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.6755 -0.1388 0.000 0.092 0.448 0.460
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0188 0.7279 0.000 0.996 0.000 0.004
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4746 0.2291 0.632 0.000 0.000 0.368
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.5212 0.2736 0.008 0.572 0.420 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.5548 0.4977 0.000 0.588 0.024 0.388
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.4776 0.5045 0.376 0.000 0.000 0.624
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.3455 0.6880 0.012 0.004 0.852 0.132
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.4431 0.5737 0.304 0.000 0.696 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.5522 0.5694 0.000 0.080 0.716 0.204
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.2773 0.7352 0.116 0.000 0.880 0.004
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.3801 0.6746 0.220 0.000 0.780 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.2813 0.7007 0.000 0.896 0.024 0.080
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.4333 0.7410 0.120 0.056 0.820 0.004
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.1545 0.6420 0.008 0.000 0.040 0.952
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.0817 0.6272 0.000 0.000 0.024 0.976
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5930 0.2833 0.008 0.320 0.632 0.040
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.6867 0.4194 0.000 0.484 0.104 0.412
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4259 0.7379 0.128 0.056 0.816 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.5611 0.4653 0.000 0.564 0.024 0.412
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.4564 0.5521 0.328 0.000 0.672 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0817 0.8837 0.976 0.000 0.000 0.024
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.4431 0.5737 0.304 0.000 0.696 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0188 0.7275 0.000 0.996 0.004 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4259 0.7379 0.128 0.056 0.816 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.5620 0.4588 0.000 0.560 0.024 0.416
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.3837 0.6704 0.224 0.000 0.776 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3972 0.5927 0.008 0.788 0.204 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.4789 0.6408 0.000 0.772 0.172 0.056
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.5620 0.4588 0.000 0.560 0.024 0.416
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0707 0.8839 0.980 0.000 0.000 0.020
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5150 0.3139 0.008 0.596 0.396 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.3569 0.6081 0.000 0.804 0.196 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 4 0.7806 -0.2368 0.000 0.324 0.264 0.412
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.3575 0.7405 0.124 0.020 0.852 0.004
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0895 0.8828 0.976 0.000 0.004 0.020
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 4 0.7816 -0.2157 0.000 0.284 0.300 0.416
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.6580 0.4291 0.000 0.504 0.080 0.416
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0707 0.8839 0.980 0.000 0.000 0.020
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.2402 0.7157 0.012 0.000 0.912 0.076
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0707 0.8839 0.980 0.000 0.000 0.020
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.4431 0.5737 0.304 0.000 0.696 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.4431 0.5737 0.304 0.000 0.696 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.1209 0.7210 0.004 0.964 0.032 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.0376 0.7256 0.004 0.000 0.992 0.004
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.2973 0.7355 0.144 0.000 0.000 0.856
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.5536 0.5024 0.000 0.592 0.024 0.384
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.5668 0.2990 0.024 0.000 0.532 0.444
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2149 0.8212 0.912 0.000 0.000 0.088
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6031 0.4728 0.000 0.564 0.048 0.388
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5691 0.4660 0.000 0.564 0.028 0.408
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.3088 0.7298 0.128 0.000 0.008 0.864
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3052 0.7293 0.136 0.000 0.860 0.004
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.5150 0.3139 0.008 0.596 0.396 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.6197 0.7047 0.128 0.132 0.716 0.024
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 3 0.7745 0.1942 0.012 0.164 0.464 0.360
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.2921 0.7340 0.140 0.000 0.000 0.860
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5093 0.2560 0.012 0.000 0.348 0.640
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.5303 0.2103 0.004 0.544 0.448 0.004
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5138 0.3159 0.008 0.600 0.392 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.3377 0.6833 0.012 0.000 0.848 0.140
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.3914 0.7422 0.120 0.036 0.840 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.5523 0.5069 0.000 0.596 0.024 0.380
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2111 0.7130 0.000 0.932 0.024 0.044
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.1398 0.6748 0.040 0.000 0.004 0.956
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3333 0.7474 0.088 0.032 0.876 0.004
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.4008 0.7143 0.244 0.000 0.000 0.756
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2342 0.7076 0.008 0.080 0.912 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3873 0.7248 0.228 0.000 0.000 0.772
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0817 0.8837 0.976 0.000 0.000 0.024
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0336 0.7275 0.000 0.992 0.008 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.3942 0.7213 0.236 0.000 0.000 0.764
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.5220 0.2720 0.008 0.568 0.424 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.2999 0.7317 0.132 0.004 0.864 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.5510 0.5099 0.000 0.600 0.024 0.376
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.5075 0.7252 0.120 0.100 0.776 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.6048 0.1750 0.008 0.368 0.588 0.036
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.5915 0.4683 0.000 0.560 0.040 0.400
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.7285 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.6346 0.6020 0.116 0.244 0.640 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3962 0.7395 0.124 0.044 0.832 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5883 0.4854 0.000 0.572 0.040 0.388
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0671 0.9225 0.980 0.000 0.016 0.004 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0671 0.9225 0.980 0.000 0.016 0.004 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0510 0.6539 0.000 0.016 0.000 0.000 0.984
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6746 0.3039 0.000 0.360 0.380 0.260 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.4678 0.5858 0.004 0.668 0.028 0.000 0.300
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0404 0.6541 0.000 0.012 0.000 0.000 0.988
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2280 0.8490 0.880 0.000 0.000 0.120 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1908 0.8304 0.092 0.000 0.000 0.908 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.1965 0.6063 0.096 0.000 0.904 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.4565 0.5111 0.000 0.308 0.664 0.028 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.4947 0.2794 0.004 0.396 0.576 0.000 0.024
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.4613 0.0683 0.004 0.408 0.008 0.000 0.580
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4440 0.5767 0.004 0.660 0.012 0.000 0.324
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.4748 0.5236 0.016 0.384 0.000 0.004 0.596
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.4718 0.5037 0.016 0.444 0.000 0.000 0.540
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1043 0.6382 0.000 0.040 0.000 0.000 0.960
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.6667 0.4328 0.004 0.480 0.268 0.000 0.248
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.7161 -0.3232 0.000 0.408 0.400 0.148 0.044
#> C2F905E0-1D20-4582-8656-A2022521ED06 5 0.6156 0.5045 0.016 0.364 0.000 0.092 0.528
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.3333 0.7156 0.788 0.000 0.208 0.004 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.3684 0.2747 0.000 0.280 0.000 0.000 0.720
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4818 0.4253 0.000 0.520 0.020 0.000 0.460
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.2471 0.6030 0.000 0.136 0.000 0.000 0.864
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.6658 0.4536 0.004 0.480 0.236 0.000 0.280
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0162 0.6164 0.000 0.004 0.996 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0510 0.6503 0.000 0.016 0.000 0.000 0.984
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.5042 0.5744 0.004 0.676 0.064 0.000 0.256
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.4723 0.5027 0.016 0.448 0.000 0.000 0.536
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 5 0.4874 0.5018 0.016 0.452 0.000 0.004 0.528
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 5 0.6459 0.4904 0.016 0.332 0.000 0.132 0.520
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3837 0.1971 0.000 0.308 0.000 0.000 0.692
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.2127 0.6037 0.108 0.000 0.892 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4717 0.2929 0.000 0.396 0.584 0.000 0.020
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.0794 0.6505 0.000 0.028 0.000 0.000 0.972
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4101 0.5752 0.004 0.664 0.000 0.000 0.332
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4703 0.5840 0.004 0.684 0.036 0.000 0.276
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 5 0.6498 0.4866 0.016 0.312 0.000 0.144 0.528
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0609 0.9289 0.980 0.000 0.000 0.020 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.4517 0.4152 0.000 0.436 0.556 0.008 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0609 0.6173 0.020 0.000 0.980 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 5 0.6389 0.4963 0.016 0.332 0.000 0.124 0.528
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1121 0.9182 0.956 0.000 0.000 0.044 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.1908 0.6015 0.000 0.092 0.000 0.000 0.908
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#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.8121 -0.2099 0.016 0.384 0.100 0.140 0.360
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 3 0.4546 0.2797 0.000 0.460 0.532 0.008 0.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 3 0.4182 0.3235 0.000 0.400 0.600 0.000 0.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.6244 0.2584 0.000 0.336 0.160 0.504 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 5 0.4987 0.5331 0.016 0.360 0.000 0.016 0.608
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.4354 0.4870 0.000 0.368 0.624 0.008 0.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 5 0.0880 0.6534 0.000 0.032 0.000 0.000 0.968
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0000 0.6159 0.000 0.000 1.000 0.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.3231 0.7320 0.800 0.000 0.196 0.004 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 5 0.4674 0.5146 0.016 0.416 0.000 0.000 0.568
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 5 0.5615 -0.1804 0.000 0.320 0.096 0.000 0.584
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 5 0.1270 0.6400 0.000 0.052 0.000 0.000 0.948
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 5 0.2813 0.5005 0.000 0.168 0.000 0.000 0.832
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.0162 0.8963 0.004 0.000 0.000 0.996 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.4546 0.6840 0.008 0.116 0.108 0.768 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.1197 0.6348 0.000 0.048 0.000 0.000 0.952
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 5 0.4731 0.5003 0.016 0.456 0.000 0.000 0.528
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 3 0.6994 0.3655 0.008 0.304 0.444 0.240 0.004
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.0404 0.6541 0.000 0.012 0.000 0.000 0.988
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.1965 0.6063 0.096 0.000 0.904 0.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 5 0.5707 0.5135 0.016 0.388 0.000 0.052 0.544
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.6306 0.4100 0.000 0.304 0.108 0.564 0.024
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.4455 -0.0356 0.000 0.588 0.404 0.008 0.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 5 0.1478 0.6516 0.000 0.064 0.000 0.000 0.936
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.0404 0.8930 0.012 0.000 0.000 0.988 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 5 0.4713 0.5051 0.016 0.440 0.000 0.000 0.544
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 5 0.6389 0.4952 0.016 0.332 0.000 0.124 0.528
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.5100 0.5737 0.004 0.672 0.068 0.000 0.256
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.3513 0.7324 0.000 0.180 0.020 0.800 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.0404 0.6544 0.000 0.012 0.000 0.000 0.988
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.6629 -0.0870 0.000 0.232 0.332 0.436 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.1544 0.6218 0.000 0.068 0.000 0.000 0.932
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.1908 0.6015 0.000 0.092 0.000 0.000 0.908
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 5 0.3074 0.5826 0.000 0.196 0.000 0.000 0.804
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.0609 0.8875 0.020 0.000 0.000 0.980 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 5 0.4713 0.5050 0.016 0.440 0.000 0.000 0.544
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0671 0.9225 0.980 0.000 0.016 0.004 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.1792 0.6090 0.000 0.084 0.000 0.000 0.916
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4706 0.2305 0.004 0.500 0.008 0.000 0.488
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> 9BEDADE9-887F-4245-B827-26638F810303 3 0.4251 0.5248 0.000 0.316 0.672 0.012 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.0510 0.6539 0.000 0.016 0.000 0.000 0.984
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 5 0.4727 0.5017 0.016 0.452 0.000 0.000 0.532
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 3 0.3111 0.6045 0.004 0.144 0.840 0.012 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.0162 0.6526 0.000 0.004 0.000 0.000 0.996
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.1197 0.6337 0.000 0.048 0.000 0.000 0.952
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.7962 -0.1072 0.016 0.492 0.200 0.196 0.096
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4305 0.0716 0.512 0.000 0.000 0.488 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.5958 0.5334 0.004 0.524 0.100 0.000 0.372
#> B3E9A4C3-E877-4505-8695-960738A127FD 5 0.4962 0.5080 0.016 0.432 0.000 0.008 0.544
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.0609 0.8875 0.020 0.000 0.000 0.980 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4777 -0.2984 0.008 0.548 0.436 0.008 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.2127 0.6037 0.108 0.000 0.892 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.6374 -0.1390 0.016 0.564 0.316 0.012 0.092
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.3876 0.4232 0.000 0.316 0.684 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.6159 0.000 0.000 1.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 5 0.4482 0.5317 0.016 0.348 0.000 0.000 0.636
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.4182 0.3235 0.000 0.400 0.600 0.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.3531 0.7501 0.000 0.148 0.036 0.816 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.3663 0.7063 0.000 0.208 0.016 0.776 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.5257 0.4288 0.000 0.688 0.192 0.004 0.116
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 5 0.6416 0.4811 0.016 0.388 0.008 0.088 0.500
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4658 0.2754 0.000 0.408 0.576 0.000 0.016
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0404 0.6540 0.000 0.012 0.000 0.000 0.988
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.1908 0.6015 0.000 0.092 0.000 0.000 0.908
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 5 0.6047 0.5060 0.016 0.376 0.000 0.080 0.528
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.2280 0.6009 0.120 0.000 0.880 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.1121 0.9182 0.956 0.000 0.000 0.044 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.1965 0.6063 0.096 0.000 0.904 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.1908 0.6048 0.000 0.092 0.000 0.000 0.908
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4658 0.2754 0.000 0.408 0.576 0.000 0.016
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 5 0.6478 0.4877 0.016 0.316 0.000 0.140 0.528
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.1768 0.6142 0.072 0.004 0.924 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.4608 0.0523 0.000 0.336 0.024 0.000 0.640
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.5379 -0.1938 0.000 0.492 0.044 0.004 0.460
#> 397C8251-A0C6-40DC-AB16-86881797473B 5 0.6389 0.4952 0.016 0.332 0.000 0.124 0.528
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0609 0.9289 0.980 0.000 0.000 0.020 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.4886 0.4420 0.000 0.528 0.024 0.000 0.448
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.3888 0.4156 0.000 0.136 0.064 0.000 0.800
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 5 0.7748 0.3780 0.016 0.316 0.064 0.148 0.456
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4150 0.3335 0.000 0.388 0.612 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0671 0.9225 0.980 0.000 0.016 0.004 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.1965 0.5996 0.000 0.096 0.000 0.000 0.904
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.8243 -0.2180 0.016 0.376 0.116 0.140 0.352
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 5 0.6536 0.4782 0.016 0.336 0.000 0.140 0.508
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0609 0.9289 0.980 0.000 0.000 0.020 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4537 0.4684 0.000 0.396 0.592 0.012 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0609 0.9289 0.980 0.000 0.000 0.020 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.2127 0.6037 0.108 0.000 0.892 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.2127 0.6037 0.108 0.000 0.892 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.4722 0.0588 0.004 0.412 0.012 0.000 0.572
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4420 -0.1123 0.000 0.548 0.448 0.004 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.4855 0.5066 0.016 0.436 0.000 0.004 0.544
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6589 0.3430 0.000 0.364 0.424 0.212 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.4182 0.3496 0.600 0.000 0.000 0.400 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 5 0.7191 0.4833 0.016 0.268 0.040 0.140 0.536
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 5 0.6495 0.4991 0.016 0.308 0.004 0.128 0.544
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.2813 0.5650 0.000 0.168 0.832 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.4861 0.4695 0.000 0.548 0.024 0.000 0.428
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5657 0.5456 0.004 0.136 0.700 0.132 0.028
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.8052 -0.0433 0.000 0.432 0.244 0.152 0.172
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.6597 0.0648 0.000 0.332 0.224 0.444 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.7860 0.3368 0.000 0.412 0.132 0.132 0.324
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.4897 0.4246 0.000 0.516 0.024 0.000 0.460
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.4966 0.4466 0.000 0.404 0.564 0.032 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.4138 0.3447 0.000 0.384 0.616 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.4718 0.5082 0.016 0.444 0.000 0.000 0.540
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.4309 0.5411 0.016 0.308 0.000 0.000 0.676
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4300 -0.1891 0.000 0.524 0.476 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0162 0.8963 0.004 0.000 0.000 0.996 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0609 0.6536 0.000 0.020 0.000 0.000 0.980
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.4824 0.0592 0.004 0.596 0.380 0.000 0.020
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0000 0.8977 0.000 0.000 0.000 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0703 0.9279 0.976 0.000 0.000 0.024 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1732 0.6301 0.000 0.080 0.000 0.000 0.920
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0162 0.8963 0.004 0.000 0.000 0.996 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4325 0.5863 0.004 0.684 0.012 0.000 0.300
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.2852 0.5649 0.000 0.172 0.828 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 5 0.4682 0.5122 0.016 0.420 0.000 0.000 0.564
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4696 0.3005 0.004 0.400 0.584 0.000 0.012
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4568 0.4091 0.000 0.764 0.136 0.008 0.092
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 5 0.4967 0.5078 0.016 0.436 0.000 0.008 0.540
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1410 0.6273 0.000 0.060 0.000 0.000 0.940
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.5256 0.1676 0.004 0.592 0.356 0.000 0.048
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4640 0.2893 0.000 0.400 0.584 0.000 0.016
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 5 0.4865 0.5059 0.016 0.444 0.000 0.004 0.536
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2762 0.79667 0.000 0.000 0.048 0.860 0.092 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5662 0.54991 0.000 0.476 0.160 0.000 0.364 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 5 0.8661 -0.16979 0.000 0.160 0.232 0.116 0.316 0.176
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.1908 0.56426 0.000 0.004 0.900 0.000 0.096 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2738 0.80777 0.000 0.000 0.004 0.820 0.176 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.5411 0.55930 0.000 0.512 0.124 0.000 0.364 0.000
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#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.2631 0.52846 0.000 0.008 0.840 0.000 0.152 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.6675 -0.39632 0.000 0.336 0.264 0.000 0.368 0.032
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.0000 0.78588 0.000 0.000 0.000 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.6119 0.18774 0.000 0.632 0.132 0.048 0.160 0.028
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4940 0.09052 0.000 0.000 0.532 0.000 0.068 0.400
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.6082 0.45709 0.000 0.372 0.272 0.000 0.356 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.5011 0.24805 0.000 0.708 0.172 0.012 0.084 0.024
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2302 0.49342 0.000 0.900 0.032 0.008 0.060 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2854 0.80727 0.000 0.000 0.000 0.792 0.208 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.7416 0.51320 0.000 0.076 0.276 0.016 0.244 0.388
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 6 0.0865 0.62394 0.036 0.000 0.000 0.000 0.000 0.964
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 6 0.0865 0.62394 0.036 0.000 0.000 0.000 0.000 0.964
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.4143 0.41788 0.000 0.180 0.736 0.000 0.084 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.6063 -0.17522 0.000 0.008 0.480 0.000 0.232 0.280
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.2996 0.80153 0.000 0.000 0.000 0.772 0.228 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1151 0.54772 0.000 0.956 0.012 0.000 0.032 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 5 0.8581 -0.18536 0.000 0.180 0.232 0.092 0.320 0.176
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.3797 0.16829 0.580 0.000 0.000 0.420 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.3597 0.51743 0.000 0.840 0.032 0.016 0.048 0.064
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.2565 0.53804 0.000 0.900 0.020 0.016 0.032 0.032
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.3758 0.78228 0.000 0.000 0.016 0.700 0.284 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 6 0.3641 0.51153 0.000 0.000 0.224 0.000 0.028 0.748
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.2513 0.53225 0.000 0.008 0.852 0.000 0.140 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.6648 0.59774 0.000 0.044 0.172 0.040 0.172 0.572
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 3 0.8131 -0.14577 0.000 0.216 0.372 0.048 0.144 0.220
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3076 0.79876 0.000 0.000 0.000 0.760 0.240 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 5 0.8111 0.09095 0.000 0.092 0.132 0.288 0.380 0.108
#> 51447C55-B00E-4013-AF02-5C35DAB19839 3 0.7156 0.18553 0.000 0.092 0.512 0.028 0.208 0.160
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.3615 0.39868 0.000 0.008 0.700 0.000 0.292 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5686 0.54534 0.000 0.472 0.164 0.000 0.364 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 5 0.7992 -0.36161 0.000 0.184 0.252 0.016 0.300 0.248
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.5285 0.08954 0.000 0.000 0.524 0.000 0.108 0.368
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1168 0.54016 0.000 0.956 0.016 0.000 0.028 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.4436 0.48773 0.000 0.640 0.312 0.000 0.048 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3446 0.77303 0.000 0.000 0.000 0.692 0.308 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.5504 0.03428 0.000 0.000 0.564 0.000 0.204 0.232
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0000 0.78588 0.000 0.000 0.000 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5709 0.54311 0.000 0.468 0.168 0.000 0.364 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4871 0.26961 0.000 0.004 0.676 0.000 0.168 0.152
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3371 0.79379 0.020 0.000 0.036 0.828 0.116 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.95796 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.5998 0.49836 0.000 0.436 0.264 0.000 0.300 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2823 0.80367 0.000 0.000 0.000 0.796 0.204 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2146 0.57078 0.000 0.004 0.880 0.000 0.116 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.4032 0.56601 0.000 0.000 0.192 0.000 0.068 0.740
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1720 0.55052 0.000 0.928 0.040 0.000 0.032 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.5371 0.22372 0.000 0.004 0.576 0.000 0.128 0.292
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.3780 0.51272 0.000 0.024 0.788 0.000 0.156 0.032
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1575 0.54517 0.000 0.936 0.032 0.000 0.032 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.5884 0.52921 0.000 0.452 0.212 0.000 0.336 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4508 0.31924 0.000 0.004 0.716 0.000 0.116 0.164
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4968 0.13890 0.000 0.000 0.556 0.000 0.076 0.368
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1794 0.54243 0.000 0.924 0.036 0.000 0.040 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.984 0.993 0.4727 0.528 0.528
#> 3 3 0.958 0.935 0.974 0.2887 0.835 0.695
#> 4 4 0.862 0.874 0.947 0.1861 0.781 0.507
#> 5 5 0.803 0.810 0.901 0.0845 0.831 0.492
#> 6 6 0.751 0.691 0.803 0.0518 0.917 0.651
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.991 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.991 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.991 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.994 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.991 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.994 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.991 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.994 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.991 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.991 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.7219 0.753 0.200 0.800
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.991 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.994 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.991 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.994 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.994 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.991 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.994 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.994 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.994 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.994 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.994 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.994 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.991 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.994 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.994 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.994 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.994 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.1184 0.979 0.016 0.984
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.994 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.994 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.991 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.994 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.994 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.994 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.991 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.994 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.994 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.991 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.994 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.994 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.994 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.994 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0938 0.983 0.012 0.988
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.991 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.994 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.991 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.994 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.991 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.994 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.994 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.991 1.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.991 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.991 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.991 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.994 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.991 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.994 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.994 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.991 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.991 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.991 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.994 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.991 1.000 0.000
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#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.991 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.994 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.991 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.991 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.991 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.994 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.994 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.991 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.994 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0000 0.991 1.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.991 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.994 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.994 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.991 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.994 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.994 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.7219 0.753 0.200 0.800
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.994 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.991 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.991 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.994 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.994 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.994 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.3274 0.930 0.940 0.060
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.994 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.994 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.994 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.991 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.994 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.991 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.994 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.994 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.991 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.991 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.994 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.991 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.994 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.994 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.994 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.994 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.994 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.994 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.994 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.994 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.994 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9902 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9902 1.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9902 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9736 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.9902 1.000 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.3340 0.8455 0.000 0.880 0.120
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9902 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9736 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9902 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9902 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.9226 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9902 1.000 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.9226 0.000 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9902 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9736 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9736 0.000 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9902 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9736 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9736 0.000 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9736 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9226 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.9736 0.000 1.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9736 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9902 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9736 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9736 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9736 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9226 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.9226 0.000 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9736 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4399 0.7649 0.000 0.188 0.812
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9902 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9736 0.000 1.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9736 0.000 1.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.9736 0.000 1.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9902 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9736 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9736 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 3 0.5859 0.4491 0.344 0.000 0.656
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.9226 0.000 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9736 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0424 0.9663 0.000 0.992 0.008
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9736 0.000 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9736 0.000 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9902 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6274 0.1354 0.000 0.544 0.456
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9226 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.9736 0.000 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9902 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9736 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9736 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.9902 1.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9902 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.9902 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9902 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9736 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9902 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9736 0.000 1.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.9736 0.000 1.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9902 1.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9902 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9902 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9736 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9902 1.000 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9902 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9736 0.000 1.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9736 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9902 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9902 1.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.9736 0.000 1.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9902 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9736 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9902 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9902 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.4291 0.7648 0.000 0.820 0.180
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0000 0.9226 0.000 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.9902 1.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.0000 0.9226 0.000 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9902 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0000 0.9226 0.000 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9736 0.000 1.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.0000 0.9226 0.000 0.000 1.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9902 1.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9736 0.000 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9902 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9902 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9902 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9736 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9902 1.000 0.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.9736 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 2 0.5058 0.6404 0.244 0.756 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9736 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.9902 1.000 0.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.9736 0.000 1.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.9736 0.000 1.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0000 0.9736 0.000 1.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9902 1.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.9736 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9736 0.000 1.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.9736 0.000 1.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9902 1.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9736 0.000 1.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9736 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.3816 0.8096 0.000 0.148 0.852
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.9902 1.000 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.0000 0.9226 0.000 0.000 1.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.9736 0.000 1.000 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.9736 0.000 1.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.0000 0.9226 0.000 0.000 1.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9902 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.9736 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.0000 0.9226 0.000 0.000 1.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9902 1.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.2261 0.9061 0.000 0.932 0.068
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.9736 0.000 1.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.9902 1.000 0.000 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.0000 0.9902 1.000 0.000 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.0000 0.9226 0.000 0.000 1.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.9736 0.000 1.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.4750 0.7073 0.000 0.784 0.216
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.0000 0.9226 0.000 0.000 1.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.1031 0.9050 0.024 0.000 0.976
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.9736 0.000 1.000 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.9736 0.000 1.000 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9736 0.000 1.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.9736 0.000 1.000 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.0237 0.9197 0.004 0.000 0.996
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9902 1.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.0000 0.9226 0.000 0.000 1.000
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.0000 0.9736 0.000 1.000 0.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.9736 0.000 1.000 0.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0000 0.9736 0.000 1.000 0.000
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#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9902 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9736 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9902 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.6111 0.3812 0.000 0.396 0.604
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.9226 0.000 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9736 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.9226 0.000 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9736 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9736 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9736 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0000 0.9226 0.000 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.9226 0.000 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9736 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2408 0.8671 0.896 0.000 0.000 0.104
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.3908 0.7288 0.212 0.000 0.004 0.784
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3528 0.7608 0.192 0.000 0.000 0.808
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.4907 0.3065 0.000 0.420 0.000 0.580
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0469 0.9377 0.000 0.988 0.000 0.012
#> C2F905E0-1D20-4582-8656-A2022521ED06 4 0.3311 0.7416 0.000 0.172 0.000 0.828
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.4830 0.3154 0.000 0.608 0.392 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.2011 0.8542 0.080 0.000 0.000 0.920
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 4 0.0921 0.8881 0.000 0.028 0.000 0.972
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 4 0.0188 0.9009 0.000 0.004 0.000 0.996
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3801 0.7095 0.780 0.000 0.220 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 4 0.0336 0.8992 0.000 0.000 0.008 0.992
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.3801 0.7205 0.220 0.000 0.000 0.780
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.2647 0.8477 0.880 0.000 0.000 0.120
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 4 0.0469 0.8976 0.000 0.012 0.000 0.988
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4134 0.6625 0.260 0.000 0.000 0.740
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0817 0.9523 0.976 0.000 0.000 0.024
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.2704 0.8188 0.124 0.000 0.000 0.876
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 4 0.1474 0.8718 0.000 0.052 0.000 0.948
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.4134 0.6656 0.260 0.000 0.000 0.740
#> 231614D1-4FD6-455D-A65D-364599F6167D 4 0.4040 0.6423 0.000 0.248 0.000 0.752
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3610 0.7518 0.000 0.200 0.800 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.5125 0.4080 0.008 0.388 0.604 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.4877 0.3102 0.000 0.408 0.592 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 4 0.3266 0.7477 0.000 0.168 0.000 0.832
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.2216 0.8658 0.000 0.908 0.000 0.092
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 4 0.0336 0.8995 0.000 0.008 0.000 0.992
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0188 0.9437 0.004 0.996 0.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 4 0.1792 0.8563 0.000 0.068 0.000 0.932
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.4888 0.2550 0.000 0.588 0.412 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.2530 0.8523 0.888 0.000 0.000 0.112
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.4888 0.2612 0.000 0.588 0.412 0.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.4697 0.4033 0.644 0.000 0.000 0.356
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.0469 0.9624 0.988 0.000 0.000 0.012
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 1 0.2675 0.8640 0.892 0.008 0.100 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 4 0.0707 0.8932 0.000 0.020 0.000 0.980
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> F1565477-7479-4777-BD07-C6480B421166 4 0.3528 0.7139 0.000 0.192 0.000 0.808
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.0336 0.9409 0.000 0.992 0.000 0.008
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 4 0.1151 0.8915 0.008 0.024 0.000 0.968
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 3 0.2704 0.8237 0.000 0.124 0.876 0.000
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.2011 0.8735 0.000 0.920 0.080 0.000
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.9470 0.000 1.000 0.000 0.000
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#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9019 0.000 0.000 0.000 1.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4855 0.3816 0.000 0.400 0.600 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9727 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.1118 0.9405 0.964 0.000 0.000 0.036
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1940 0.8809 0.000 0.924 0.000 0.076
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 4 0.0336 0.8995 0.000 0.008 0.000 0.992
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9470 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4746 0.3798 0.000 0.632 0.368 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.9195 0.000 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.4072 0.6358 0.000 0.252 0.000 0.748
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2074 0.87411 0.896 0.000 0.000 0.104 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.1197 0.89154 0.000 0.048 0.000 0.000 0.952
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4054 0.68144 0.020 0.732 0.000 0.248 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.0451 0.89584 0.000 0.008 0.000 0.004 0.988
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2280 0.84107 0.120 0.000 0.000 0.880 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.1197 0.89154 0.000 0.048 0.000 0.000 0.952
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0510 0.94712 0.984 0.000 0.000 0.016 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0671 0.86878 0.004 0.016 0.000 0.980 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.1608 0.90488 0.928 0.000 0.000 0.072 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.0566 0.89411 0.000 0.012 0.000 0.004 0.984
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4126 0.36105 0.000 0.620 0.000 0.000 0.380
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0451 0.87082 0.004 0.008 0.000 0.988 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.4196 0.42818 0.000 0.640 0.000 0.004 0.356
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.2011 0.85553 0.000 0.908 0.000 0.088 0.004
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1043 0.89402 0.000 0.040 0.000 0.000 0.960
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1588 0.85480 0.016 0.948 0.000 0.008 0.028
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0510 0.86658 0.000 0.984 0.000 0.016 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0609 0.89742 0.000 0.020 0.000 0.000 0.980
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.0703 0.89753 0.000 0.024 0.000 0.000 0.976
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.0324 0.89666 0.000 0.004 0.000 0.004 0.992
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0794 0.89680 0.000 0.028 0.000 0.000 0.972
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.4463 0.58154 0.008 0.012 0.256 0.008 0.716
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0671 0.86878 0.004 0.016 0.000 0.980 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1043 0.86690 0.000 0.960 0.000 0.040 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1478 0.86165 0.000 0.936 0.000 0.064 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.3143 0.76162 0.000 0.796 0.000 0.204 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.3424 0.74022 0.240 0.000 0.000 0.760 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.4074 0.46215 0.000 0.364 0.000 0.000 0.636
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.0566 0.89411 0.000 0.012 0.000 0.004 0.984
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0451 0.94903 0.988 0.000 0.004 0.008 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.3814 0.60801 0.000 0.276 0.000 0.004 0.720
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.0693 0.89287 0.000 0.012 0.000 0.008 0.980
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.4434 0.12841 0.000 0.460 0.000 0.004 0.536
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0963 0.86720 0.000 0.964 0.000 0.036 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3675 0.72900 0.000 0.788 0.188 0.024 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.2605 0.81791 0.000 0.852 0.000 0.148 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.0290 0.89605 0.000 0.008 0.000 0.000 0.992
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.2929 0.78055 0.000 0.180 0.000 0.000 0.820
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.2230 0.83426 0.884 0.116 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.2179 0.84394 0.112 0.000 0.000 0.888 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0671 0.86878 0.004 0.016 0.000 0.980 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.1851 0.85743 0.088 0.000 0.000 0.912 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0963 0.86720 0.000 0.964 0.000 0.036 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0451 0.87102 0.008 0.004 0.000 0.988 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 5 0.0798 0.89288 0.000 0.016 0.000 0.008 0.976
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2424 0.82857 0.000 0.868 0.000 0.132 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.1732 0.85788 0.080 0.000 0.000 0.920 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.2230 0.84235 0.116 0.000 0.000 0.884 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0671 0.86878 0.004 0.016 0.000 0.980 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.1341 0.88828 0.000 0.056 0.000 0.000 0.944
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2280 0.83979 0.120 0.000 0.000 0.880 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.4088 0.32724 0.632 0.000 0.000 0.368 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.0000 0.89701 0.000 0.000 0.000 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.2329 0.84177 0.000 0.124 0.000 0.000 0.876
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.1270 0.92357 0.948 0.000 0.000 0.052 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.1732 0.85731 0.000 0.920 0.000 0.080 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0771 0.87208 0.020 0.004 0.000 0.976 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1041 0.86803 0.000 0.964 0.000 0.032 0.004
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.2561 0.82405 0.144 0.000 0.000 0.856 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.4491 0.74351 0.000 0.064 0.760 0.008 0.168
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.0579 0.89951 0.000 0.008 0.984 0.008 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.3336 0.68929 0.772 0.000 0.000 0.228 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.7250 -0.03246 0.336 0.012 0.240 0.008 0.404
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0404 0.94909 0.988 0.000 0.000 0.012 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.4338 0.52474 0.000 0.008 0.684 0.008 0.300
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0703 0.86761 0.000 0.976 0.000 0.024 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3177 0.71819 0.792 0.000 0.208 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.1043 0.93233 0.960 0.000 0.000 0.040 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0451 0.86463 0.000 0.988 0.000 0.008 0.004
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0880 0.93738 0.968 0.000 0.000 0.032 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.2891 0.73946 0.000 0.824 0.000 0.000 0.176
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0510 0.86858 0.000 0.016 0.000 0.984 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.1121 0.89295 0.000 0.044 0.000 0.000 0.956
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.3612 0.58695 0.000 0.268 0.000 0.732 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.5922 0.11033 0.000 0.104 0.420 0.000 0.476
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0703 0.86535 0.000 0.024 0.000 0.976 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.4254 0.75301 0.000 0.772 0.000 0.080 0.148
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0510 0.86658 0.000 0.984 0.000 0.016 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.2177 0.86895 0.908 0.008 0.000 0.004 0.080
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.94776 1.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.0703 0.89715 0.000 0.024 0.000 0.000 0.976
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.2054 0.87759 0.028 0.052 0.000 0.000 0.920
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0880 0.86777 0.000 0.968 0.000 0.032 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.94776 1.000 0.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.2852 0.76171 0.000 0.828 0.000 0.000 0.172
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.0324 0.89666 0.000 0.004 0.000 0.004 0.992
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 5 0.4423 0.50520 0.000 0.012 0.296 0.008 0.684
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.3074 0.76688 0.196 0.000 0.000 0.804 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.1544 0.86012 0.000 0.932 0.000 0.068 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.0609 0.89742 0.000 0.020 0.000 0.000 0.980
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.0703 0.89715 0.000 0.024 0.000 0.000 0.976
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 3 0.0794 0.88581 0.028 0.000 0.972 0.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.94776 1.000 0.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.2424 0.80552 0.000 0.000 0.868 0.000 0.132
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.0963 0.89547 0.000 0.036 0.000 0.000 0.964
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.0992 0.87231 0.024 0.008 0.000 0.968 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.1623 0.91220 0.948 0.016 0.000 0.020 0.016
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 5 0.0510 0.89780 0.000 0.016 0.000 0.000 0.984
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 5 0.0693 0.89287 0.000 0.012 0.000 0.008 0.980
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 1 0.2069 0.86889 0.912 0.000 0.012 0.000 0.076
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 5 0.0162 0.89664 0.000 0.004 0.000 0.000 0.996
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0404 0.86569 0.000 0.988 0.000 0.012 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 5 0.0290 0.89605 0.000 0.008 0.000 0.000 0.992
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.1341 0.86387 0.000 0.944 0.000 0.056 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.4101 0.51816 0.000 0.664 0.000 0.332 0.004
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 5 0.3636 0.65538 0.000 0.272 0.000 0.000 0.728
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 5 0.0609 0.89742 0.000 0.020 0.000 0.000 0.980
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#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0963 0.89514 0.000 0.036 0.000 0.000 0.964
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2127 0.80657 0.000 0.892 0.000 0.000 0.108
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0880 0.86765 0.000 0.968 0.000 0.032 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.1851 0.82982 0.000 0.088 0.000 0.912 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.94776 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0162 0.89727 0.000 0.000 0.004 0.000 0.996
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.1124 0.89528 0.000 0.036 0.004 0.000 0.960
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3143 0.76901 0.204 0.000 0.000 0.796 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0609 0.86768 0.000 0.980 0.000 0.020 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0703 0.89715 0.000 0.024 0.000 0.000 0.976
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1041 0.86777 0.000 0.964 0.000 0.032 0.004
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1671 0.85838 0.000 0.924 0.000 0.076 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0566 0.86998 0.004 0.012 0.000 0.984 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 5 0.6738 0.04373 0.000 0.308 0.000 0.280 0.412
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0451 0.94903 0.988 0.000 0.004 0.008 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0703 0.93520 0.976 0.000 0.024 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.0162 0.89664 0.000 0.004 0.000 0.000 0.996
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.4934 0.14426 0.008 0.444 0.004 0.008 0.536
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0451 0.87062 0.004 0.008 0.000 0.988 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1251 0.85526 0.000 0.956 0.000 0.008 0.036
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.2424 0.83045 0.000 0.868 0.000 0.132 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.2046 0.86133 0.000 0.916 0.000 0.068 0.016
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.1732 0.85841 0.000 0.920 0.000 0.080 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0609 0.86686 0.000 0.020 0.000 0.980 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.1018 0.89558 0.000 0.016 0.016 0.000 0.968
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.2629 0.80459 0.000 0.136 0.000 0.004 0.860
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0609 0.86686 0.000 0.020 0.000 0.980 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0510 0.86728 0.000 0.016 0.000 0.984 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.0451 0.89584 0.000 0.008 0.000 0.004 0.988
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.4305 -0.01439 0.000 0.000 0.488 0.000 0.512
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.1544 0.88234 0.000 0.068 0.000 0.000 0.932
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.3242 0.67432 0.000 0.216 0.000 0.784 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0865 0.85810 0.000 0.972 0.000 0.004 0.024
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.2536 0.81817 0.000 0.128 0.000 0.004 0.868
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0703 0.86535 0.000 0.024 0.000 0.976 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.0981 0.89009 0.008 0.012 0.000 0.008 0.972
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.3210 0.70669 0.788 0.000 0.000 0.212 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.1197 0.89154 0.000 0.048 0.000 0.000 0.952
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.4819 0.23165 0.000 0.012 0.404 0.008 0.576
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3816 0.64052 0.304 0.000 0.000 0.696 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0290 0.95059 0.992 0.000 0.000 0.008 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1197 0.89154 0.000 0.048 0.000 0.000 0.952
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2329 0.83817 0.124 0.000 0.000 0.876 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0693 0.89287 0.000 0.012 0.000 0.008 0.980
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.90764 0.000 0.000 1.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2771 0.79966 0.000 0.860 0.000 0.012 0.128
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0880 0.88435 0.000 0.032 0.968 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3450 0.75963 0.008 0.808 0.000 0.008 0.176
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0703 0.86761 0.000 0.976 0.000 0.024 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.0290 0.89605 0.000 0.008 0.000 0.000 0.992
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.1908 0.85331 0.000 0.000 0.092 0.000 0.908
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.1843 0.86767 0.000 0.008 0.932 0.008 0.052
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.1557 0.86586 0.000 0.940 0.000 0.052 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0458 0.90126 0.984 0.000 0.016 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.3864 0.15074 0.520 0.000 0.000 0.480 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0458 0.90126 0.984 0.000 0.016 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.1007 0.67159 0.000 0.044 0.000 0.000 0.956 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5102 0.62555 0.000 0.620 0.240 0.140 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3862 0.52402 0.000 0.000 0.524 0.000 0.476 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1075 0.85004 0.048 0.000 0.000 0.952 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.1644 0.66942 0.000 0.076 0.004 0.000 0.920 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.90280 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.2003 0.83930 0.884 0.000 0.000 0.116 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.1007 0.85648 0.000 0.000 0.044 0.956 0.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2941 0.73460 0.780 0.000 0.000 0.220 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.3446 0.76653 0.000 0.000 0.692 0.000 0.308 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4445 0.47067 0.000 0.656 0.056 0.000 0.288 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0260 0.85932 0.000 0.000 0.008 0.992 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.5636 -0.04065 0.000 0.424 0.148 0.000 0.428 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4303 0.75034 0.000 0.764 0.108 0.024 0.104 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0937 0.65996 0.000 0.000 0.040 0.000 0.960 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3370 0.76112 0.124 0.812 0.064 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.2112 0.77525 0.000 0.896 0.016 0.000 0.088 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0260 0.90244 0.992 0.000 0.008 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.2631 0.52270 0.000 0.000 0.180 0.000 0.820 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.2219 0.59021 0.000 0.000 0.136 0.000 0.864 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 3 0.3867 0.43075 0.000 0.000 0.512 0.000 0.488 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.1610 0.63553 0.000 0.000 0.084 0.000 0.916 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4085 0.75426 0.000 0.000 0.716 0.000 0.232 0.052
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.2536 0.82230 0.000 0.020 0.116 0.864 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1152 0.80414 0.000 0.952 0.044 0.000 0.004 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2915 0.76884 0.000 0.808 0.184 0.008 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4614 0.68474 0.000 0.676 0.228 0.096 0.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2664 0.74910 0.184 0.000 0.000 0.816 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.3342 0.60793 0.000 0.228 0.012 0.000 0.760 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3578 0.74650 0.000 0.000 0.660 0.000 0.340 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0777 0.89388 0.972 0.000 0.004 0.000 0.000 0.024
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 3 0.5949 0.36090 0.000 0.248 0.452 0.000 0.300 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.3409 0.76915 0.000 0.000 0.700 0.000 0.300 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5527 0.08358 0.000 0.460 0.408 0.000 0.132 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0820 0.80360 0.000 0.972 0.016 0.000 0.012 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0146 0.90259 0.996 0.000 0.000 0.004 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3841 0.40443 0.000 0.616 0.000 0.000 0.004 0.380
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4888 0.65691 0.000 0.644 0.240 0.116 0.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0458 0.89987 0.984 0.000 0.000 0.016 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.3817 0.62602 0.000 0.000 0.568 0.000 0.432 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.3062 0.64926 0.000 0.160 0.024 0.000 0.816 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.2778 0.74007 0.824 0.168 0.008 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1075 0.84860 0.048 0.000 0.000 0.952 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.1970 0.83257 0.000 0.008 0.092 0.900 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.3101 0.83402 0.032 0.024 0.092 0.852 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1088 0.79988 0.000 0.960 0.016 0.000 0.024 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0260 0.85779 0.008 0.000 0.000 0.992 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3175 0.76655 0.000 0.000 0.744 0.000 0.256 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4527 0.69182 0.000 0.680 0.236 0.084 0.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.0858 0.85474 0.028 0.000 0.004 0.968 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.1075 0.84909 0.048 0.000 0.000 0.952 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.1531 0.84953 0.000 0.004 0.068 0.928 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.2191 0.66012 0.000 0.120 0.004 0.000 0.876 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.1219 0.84840 0.048 0.000 0.004 0.948 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3854 0.10739 0.464 0.000 0.000 0.536 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.3647 -0.00094 0.000 0.000 0.360 0.000 0.640 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.3271 0.60762 0.000 0.232 0.008 0.000 0.760 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0458 0.89987 0.984 0.000 0.000 0.016 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.3151 0.69228 0.748 0.000 0.000 0.252 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.2740 0.78701 0.000 0.852 0.120 0.028 0.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0508 0.85961 0.004 0.000 0.012 0.984 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1910 0.79903 0.000 0.892 0.108 0.000 0.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1267 0.84380 0.060 0.000 0.000 0.940 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0713 0.89557 0.972 0.000 0.000 0.028 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.6244 0.52322 0.000 0.184 0.588 0.000 0.112 0.116
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 6 0.1501 0.87838 0.000 0.000 0.076 0.000 0.000 0.924
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.4729 0.62835 0.676 0.024 0.048 0.252 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.4882 0.54652 0.212 0.000 0.692 0.000 0.044 0.052
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0937 0.89021 0.960 0.000 0.000 0.040 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 6 0.3707 0.55830 0.000 0.000 0.312 0.000 0.008 0.680
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.2170 0.76924 0.000 0.888 0.012 0.000 0.100 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.1765 0.86463 0.924 0.000 0.024 0.000 0.000 0.052
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.2697 0.77347 0.812 0.000 0.000 0.188 0.000 0.000
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#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.3541 0.57257 0.000 0.260 0.012 0.000 0.728 0.000
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#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0891 0.79938 0.000 0.968 0.008 0.000 0.024 0.000
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#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3012 0.73600 0.000 0.008 0.796 0.000 0.196 0.000
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#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.1434 0.67044 0.000 0.048 0.012 0.000 0.940 0.000
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#> D52D0A66-D871-430E-8330-B4834FF4C6F4 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.1501 0.64138 0.000 0.000 0.076 0.000 0.924 0.000
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#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1444 0.78795 0.000 0.928 0.000 0.000 0.072 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.2730 0.72273 0.192 0.000 0.000 0.808 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.1267 0.85312 0.000 0.000 0.060 0.940 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0790 0.85399 0.032 0.000 0.000 0.968 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.1141 0.88315 0.948 0.000 0.052 0.000 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.1387 0.64552 0.000 0.000 0.068 0.000 0.932 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2147 0.77952 0.000 0.896 0.020 0.000 0.084 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1531 0.78810 0.000 0.928 0.004 0.000 0.068 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4002 0.72623 0.000 0.068 0.188 0.744 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0458 0.90126 0.984 0.000 0.016 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.3464 0.18995 0.000 0.000 0.312 0.000 0.688 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.2765 0.66765 0.000 0.064 0.056 0.000 0.872 0.008
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1714 0.82215 0.092 0.000 0.000 0.908 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.2257 0.75658 0.000 0.876 0.008 0.000 0.116 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 6 0.0458 0.92045 0.000 0.000 0.016 0.000 0.000 0.984
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0260 0.90192 0.992 0.000 0.000 0.008 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.1714 0.63007 0.000 0.000 0.092 0.000 0.908 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1779 0.80379 0.000 0.920 0.064 0.000 0.016 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3342 0.74604 0.000 0.760 0.228 0.012 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.1204 0.85563 0.000 0.000 0.056 0.944 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0363 0.90192 0.988 0.000 0.012 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.3889 0.62361 0.000 0.052 0.804 0.044 0.100 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0146 0.90259 0.996 0.000 0.000 0.004 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1007 0.88594 0.956 0.000 0.000 0.000 0.000 0.044
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#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.3833 -0.26576 0.000 0.000 0.444 0.000 0.556 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.3740 0.63690 0.000 0.096 0.784 0.000 0.120 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0458 0.85936 0.000 0.000 0.016 0.984 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2389 0.79418 0.000 0.888 0.052 0.000 0.060 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4431 0.69958 0.000 0.688 0.236 0.076 0.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0146 0.90259 0.996 0.000 0.000 0.004 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.2945 0.78118 0.000 0.824 0.156 0.020 0.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.2744 0.78490 0.000 0.840 0.144 0.016 0.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.1556 0.84621 0.000 0.000 0.080 0.920 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.2726 0.59404 0.000 0.000 0.112 0.000 0.856 0.032
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 3 0.5252 0.40753 0.000 0.096 0.480 0.000 0.424 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.1007 0.85648 0.000 0.000 0.044 0.956 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.2301 0.82953 0.000 0.020 0.096 0.884 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 3 0.3789 0.60946 0.000 0.000 0.584 0.000 0.416 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.6006 -0.28353 0.000 0.000 0.248 0.000 0.332 0.420
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.3390 0.62069 0.000 0.200 0.012 0.008 0.780 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.5570 0.44248 0.000 0.216 0.232 0.552 0.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 6 0.0260 0.92434 0.000 0.008 0.000 0.000 0.000 0.992
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1701 0.78525 0.000 0.920 0.008 0.000 0.072 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 3 0.5127 0.64161 0.000 0.112 0.588 0.000 0.300 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.1387 0.85058 0.000 0.000 0.068 0.932 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3426 0.77077 0.004 0.000 0.720 0.000 0.276 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.3789 0.32490 0.584 0.000 0.000 0.416 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.2020 0.66660 0.000 0.096 0.008 0.000 0.896 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4264 0.73379 0.000 0.000 0.720 0.000 0.196 0.084
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2527 0.75583 0.168 0.000 0.000 0.832 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0260 0.90192 0.992 0.000 0.000 0.008 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1701 0.67085 0.000 0.072 0.008 0.000 0.920 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.1075 0.84909 0.048 0.000 0.000 0.952 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3351 0.77151 0.000 0.000 0.712 0.000 0.288 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.0000 0.92975 0.000 0.000 0.000 0.000 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2346 0.78198 0.000 0.868 0.124 0.000 0.008 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 6 0.0547 0.91574 0.000 0.020 0.000 0.000 0.000 0.980
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 3 0.5169 0.47092 0.000 0.292 0.588 0.000 0.120 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1644 0.78467 0.000 0.920 0.004 0.000 0.076 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.3747 0.68116 0.000 0.000 0.604 0.000 0.396 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 6 0.4022 0.52691 0.000 0.000 0.040 0.000 0.252 0.708
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4711 0.50940 0.000 0.000 0.640 0.000 0.080 0.280
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.2553 0.78754 0.000 0.848 0.144 0.008 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)
#> 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["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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.369 0.787 0.819 0.3633 0.567 0.567
#> 3 3 0.518 0.693 0.828 0.5344 0.901 0.826
#> 4 4 0.511 0.582 0.780 0.1609 0.875 0.741
#> 5 5 0.507 0.595 0.752 0.0825 0.932 0.822
#> 6 6 0.528 0.502 0.700 0.0728 0.938 0.814
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.9775 0.8713 0.588 0.412
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.9248 0.8291 0.660 0.340
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.9775 0.8713 0.588 0.412
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1184 0.8713 0.016 0.984
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5842 0.7765 0.140 0.860
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.7056 0.7075 0.192 0.808
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.9775 0.8713 0.588 0.412
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1184 0.8713 0.016 0.984
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.9775 0.8713 0.588 0.412
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.9775 0.8713 0.588 0.412
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.8443 0.4920 0.272 0.728
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.8861 0.4056 0.696 0.304
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.2603 0.8586 0.044 0.956
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.9775 0.8713 0.588 0.412
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.2236 0.8662 0.036 0.964
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0938 0.8687 0.012 0.988
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.9393 0.8394 0.644 0.356
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0672 0.8701 0.008 0.992
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.9209 0.5225 0.336 0.664
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.1184 0.8713 0.016 0.984
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.2948 0.8549 0.052 0.948
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1843 0.8630 0.028 0.972
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0938 0.8687 0.012 0.988
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.9775 0.8713 0.588 0.412
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0672 0.8721 0.008 0.992
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.5737 0.7738 0.136 0.864
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0672 0.8701 0.008 0.992
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.2948 0.8549 0.052 0.948
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.4298 0.8148 0.088 0.912
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0672 0.8701 0.008 0.992
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.2778 0.8571 0.048 0.952
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.3114 0.5527 0.944 0.056
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1414 0.8692 0.020 0.980
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2603 0.8627 0.044 0.956
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.7139 0.4663 0.804 0.196
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.9775 0.8713 0.588 0.412
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0672 0.8701 0.008 0.992
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.1633 0.8671 0.024 0.976
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 2 0.8443 0.4920 0.272 0.728
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.2603 0.8586 0.044 0.956
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0672 0.8701 0.008 0.992
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.2236 0.8662 0.036 0.964
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0672 0.8701 0.008 0.992
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0938 0.8687 0.012 0.988
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.9775 0.8713 0.588 0.412
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1843 0.8653 0.028 0.972
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.9710 0.0383 0.600 0.400
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.9286 0.5179 0.344 0.656
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.9775 0.8713 0.588 0.412
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.9129 0.5391 0.328 0.672
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.9661 0.4537 0.392 0.608
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.2603 0.8602 0.044 0.956
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.9775 0.8713 0.588 0.412
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.3274 0.5562 0.940 0.060
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.9833 0.8601 0.576 0.424
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0938 0.8687 0.012 0.988
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.9795 0.8678 0.584 0.416
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.2236 0.8631 0.036 0.964
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2948 0.8540 0.052 0.948
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.8499 0.7536 0.724 0.276
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.9815 0.8644 0.580 0.420
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.9833 0.8601 0.576 0.424
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0376 0.8713 0.004 0.996
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.8499 0.7536 0.724 0.276
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.9775 0.8713 0.588 0.412
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.7056 0.7081 0.192 0.808
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0672 0.8701 0.008 0.992
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.9775 0.8713 0.588 0.412
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.9754 0.8699 0.592 0.408
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.9286 0.5181 0.344 0.656
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.9815 0.8644 0.580 0.420
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1184 0.8701 0.016 0.984
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.9775 0.8713 0.588 0.412
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.9775 0.8713 0.588 0.412
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.2423 0.8614 0.040 0.960
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.2236 0.8631 0.036 0.964
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.6973 0.6679 0.188 0.812
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.2603 0.8586 0.044 0.956
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.9775 0.8713 0.588 0.412
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.2603 0.8586 0.044 0.956
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0938 0.8687 0.012 0.988
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 2 0.8443 0.4920 0.272 0.728
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.9775 0.8713 0.588 0.412
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0938 0.8687 0.012 0.988
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.9775 0.8713 0.588 0.412
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.9775 0.8713 0.588 0.412
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.9775 0.8713 0.588 0.412
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0938 0.8712 0.012 0.988
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.9393 0.8394 0.644 0.356
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1184 0.8713 0.016 0.984
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.3733 0.5487 0.928 0.072
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0938 0.8716 0.012 0.988
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.9909 0.8306 0.556 0.444
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3114 0.8529 0.056 0.944
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0938 0.8687 0.012 0.988
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0672 0.8701 0.008 0.992
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.9775 0.8713 0.588 0.412
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0938 0.8715 0.012 0.988
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.2603 0.8451 0.044 0.956
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.1184 0.8701 0.016 0.984
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.9775 0.8713 0.588 0.412
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0672 0.8701 0.008 0.992
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0376 0.8712 0.004 0.996
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.6712 0.7365 0.176 0.824
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.9129 0.8186 0.672 0.328
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.8443 0.4920 0.272 0.728
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.2603 0.8590 0.044 0.956
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.9661 0.4537 0.392 0.608
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 2 0.9732 -0.2878 0.404 0.596
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.9775 0.8713 0.588 0.412
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0672 0.8701 0.008 0.992
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 2 0.8443 0.4920 0.272 0.728
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.9775 0.8713 0.588 0.412
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.7056 0.7075 0.192 0.808
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0672 0.8701 0.008 0.992
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.9881 0.8315 0.564 0.436
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.4690 0.8144 0.100 0.900
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 2 0.8443 0.4920 0.272 0.728
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.1633 0.8672 0.024 0.976
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.2603 0.8586 0.044 0.956
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 2 0.8443 0.4920 0.272 0.728
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.9000 0.5664 0.316 0.684
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.1843 0.8657 0.028 0.972
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0938 0.8687 0.012 0.988
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0376 0.8712 0.004 0.996
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.1633 0.8657 0.024 0.976
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 2 0.4939 0.7840 0.108 0.892
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.9775 0.8713 0.588 0.412
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.4690 0.8144 0.100 0.900
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.1414 0.8708 0.020 0.980
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0672 0.8701 0.008 0.992
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.5059 0.7969 0.112 0.888
#> F1565477-7479-4777-BD07-C6480B421166 2 0.1184 0.8713 0.016 0.984
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0376 0.8710 0.004 0.996
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.0672 0.8701 0.008 0.992
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.2043 0.8647 0.032 0.968
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.2778 0.8585 0.048 0.952
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 2 0.4431 0.7929 0.092 0.908
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.8763 0.7742 0.704 0.296
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.9833 0.8601 0.576 0.424
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.9775 0.8713 0.588 0.412
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0672 0.8716 0.008 0.992
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.2778 0.8560 0.048 0.952
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.9635 0.4586 0.388 0.612
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.9775 0.8713 0.588 0.412
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 2 0.4562 0.7755 0.096 0.904
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 1 0.3114 0.5527 0.944 0.056
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 2 0.9710 -0.3389 0.400 0.600
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.9491 0.8493 0.632 0.368
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0376 0.8712 0.004 0.996
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.0938 0.8687 0.012 0.988
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.2603 0.8590 0.044 0.956
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 1 0.9170 0.8219 0.668 0.332
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 1 0.8763 0.7742 0.704 0.296
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 1 0.4431 0.5694 0.908 0.092
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.1184 0.8690 0.016 0.984
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#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.0672 0.8701 0.008 0.992
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.2778 0.8637 0.048 0.952
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.5059 0.8064 0.112 0.888
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.0938 0.8692 0.012 0.988
#> C0133A01-0F93-4306-954E-A725AE8B56C3 2 0.5059 0.8083 0.112 0.888
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.2423 0.8606 0.040 0.960
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.9922 0.3718 0.448 0.552
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.9635 0.8614 0.612 0.388
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.9129 0.5391 0.328 0.672
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0672 0.8701 0.008 0.992
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.9129 0.5391 0.328 0.672
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.9248 0.5248 0.340 0.660
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.1184 0.8713 0.016 0.984
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.9775 0.8713 0.588 0.412
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.2603 0.8586 0.044 0.956
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.9815 0.8644 0.580 0.420
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.9815 0.8644 0.580 0.420
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.9209 0.5225 0.336 0.664
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.1184 0.8703 0.016 0.984
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.1414 0.8697 0.020 0.980
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.9909 0.8306 0.556 0.444
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0938 0.8687 0.012 0.988
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.2948 0.8601 0.052 0.948
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.1184 0.8713 0.016 0.984
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.3274 0.8540 0.060 0.940
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.9775 0.8713 0.588 0.412
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0672 0.8701 0.008 0.992
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.1184 0.8713 0.016 0.984
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.9922 0.3718 0.448 0.552
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0672 0.8716 0.008 0.992
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.9248 0.8291 0.660 0.340
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.9815 0.8644 0.580 0.420
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.9460 0.8404 0.636 0.364
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.1184 0.8713 0.016 0.984
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.1843 0.8690 0.028 0.972
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.9460 0.8404 0.636 0.364
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0938 0.8709 0.012 0.988
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 2 0.8443 0.4920 0.272 0.728
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.8955 0.5618 0.312 0.688
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.6623 0.5240 0.828 0.172
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.3584 0.8445 0.068 0.932
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0672 0.8705 0.008 0.992
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.8763 0.7742 0.704 0.296
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0938 0.8687 0.012 0.988
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.1843 0.8693 0.028 0.972
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.3733 0.8408 0.072 0.928
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.3114 0.5527 0.944 0.056
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0938 0.8712 0.012 0.988
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.9833 0.8561 0.576 0.424
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0672 0.8716 0.008 0.992
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0672 0.8706 0.008 0.992
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.9635 0.4586 0.388 0.612
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.9635 0.8614 0.612 0.388
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0938 0.8687 0.012 0.988
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.9775 0.8713 0.588 0.412
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0672 0.8706 0.008 0.992
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0672 0.8716 0.008 0.992
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1184 0.8713 0.016 0.984
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0938 0.8687 0.012 0.988
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.1184 0.8713 0.016 0.984
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0938 0.8687 0.012 0.988
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.5059 0.7778 0.112 0.888
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0672 0.8701 0.008 0.992
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0672 0.8716 0.008 0.992
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3431 0.8491 0.064 0.936
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0938 0.8687 0.012 0.988
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.9775 0.8713 0.588 0.412
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0672 0.8701 0.008 0.992
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0938 0.8687 0.012 0.988
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.9608 0.8593 0.616 0.384
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.2778 0.8648 0.048 0.952
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 2 0.8443 0.4920 0.272 0.728
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5059 0.8114 0.112 0.888
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1184 0.8713 0.016 0.984
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.2236 0.8631 0.036 0.964
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.9970 -0.1625 0.532 0.468
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0938 0.8687 0.012 0.988
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.1414 0.8697 0.020 0.980
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.7219 0.5181 0.200 0.800
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.3274 0.5562 0.940 0.060
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.8327 0.6198 0.264 0.736
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5178 0.7947 0.116 0.884
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.2603 0.8586 0.044 0.956
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0672 0.8701 0.008 0.992
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.7056 0.7081 0.192 0.808
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1414 0.8681 0.020 0.980
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.9993 0.5635 0.516 0.484
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.9775 0.8713 0.588 0.412
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 2 0.8443 0.4920 0.272 0.728
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0672 0.8716 0.008 0.992
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.2603 0.8586 0.044 0.956
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0938 0.8687 0.012 0.988
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.9129 0.8186 0.672 0.328
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.9833 0.8601 0.576 0.424
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.9775 0.8713 0.588 0.412
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.8267 0.5282 0.260 0.740
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.1184 0.8713 0.016 0.984
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0938 0.8687 0.012 0.988
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0938 0.8687 0.012 0.988
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.3114 0.5527 0.944 0.056
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.9775 0.8713 0.588 0.412
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.2236 0.8626 0.036 0.964
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.9922 0.3718 0.448 0.552
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.9775 0.8713 0.588 0.412
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1633 0.8658 0.024 0.976
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.2236 0.8631 0.036 0.964
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.9775 0.8713 0.588 0.412
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0376 0.8712 0.004 0.996
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0938 0.8687 0.012 0.988
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3431 0.8516 0.064 0.936
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.9833 0.8601 0.576 0.424
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.9775 0.8713 0.588 0.412
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.8861 0.5571 0.304 0.696
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.9775 0.8713 0.588 0.412
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 2 0.8443 0.4920 0.272 0.728
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 2 0.8443 0.4920 0.272 0.728
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.1843 0.8657 0.028 0.972
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.2423 0.8608 0.040 0.960
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.9815 0.8644 0.580 0.420
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0672 0.8701 0.008 0.992
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5737 0.7836 0.136 0.864
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.9775 0.8713 0.588 0.412
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.8955 0.5618 0.312 0.688
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.8955 0.5618 0.312 0.688
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.9393 0.8394 0.644 0.356
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.3114 0.8560 0.056 0.944
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.7056 0.7075 0.192 0.808
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.9087 0.2594 0.676 0.324
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0672 0.8701 0.008 0.992
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.9833 0.8601 0.576 0.424
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.9909 0.8306 0.556 0.444
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0672 0.8701 0.008 0.992
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.9922 0.3718 0.448 0.552
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0672 0.8701 0.008 0.992
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4562 0.8176 0.096 0.904
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1414 0.8697 0.020 0.980
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0938 0.8687 0.012 0.988
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0672 0.8701 0.008 0.992
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.9944 0.8086 0.544 0.456
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.2603 0.8586 0.044 0.956
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.9775 0.8713 0.588 0.412
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1414 0.8709 0.020 0.980
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.2778 0.8571 0.048 0.952
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.9881 0.8315 0.564 0.436
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.9775 0.8713 0.588 0.412
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0938 0.8716 0.012 0.988
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.9815 0.8644 0.580 0.420
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1843 0.8658 0.028 0.972
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.3114 0.8570 0.056 0.944
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0938 0.8687 0.012 0.988
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.1414 0.8697 0.020 0.980
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0938 0.8687 0.012 0.988
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1184 0.8705 0.016 0.984
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.8144 0.6249 0.252 0.748
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.2603 0.8586 0.044 0.956
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.2603 0.8586 0.044 0.956
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.8327 0.6246 0.264 0.736
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.2711 0.90532 0.912 0.088 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.4095 0.86762 0.880 0.056 0.064
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2711 0.90532 0.912 0.088 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0848 0.78538 0.008 0.984 0.008
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5334 0.66469 0.060 0.820 0.120
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.7050 0.35889 0.028 0.600 0.372
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2796 0.90412 0.908 0.092 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0848 0.78538 0.008 0.984 0.008
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2711 0.90532 0.912 0.088 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.2711 0.90532 0.912 0.088 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.8614 0.65541 0.172 0.228 0.600
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.8556 0.13852 0.416 0.096 0.488
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.5902 0.56299 0.004 0.680 0.316
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2448 0.90200 0.924 0.076 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.4931 0.67640 0.000 0.768 0.232
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0892 0.79111 0.000 0.980 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.4925 0.87174 0.844 0.076 0.080
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.78757 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7997 0.04098 0.072 0.568 0.360
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.2096 0.78964 0.004 0.944 0.052
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.5929 0.55660 0.004 0.676 0.320
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2339 0.78786 0.012 0.940 0.048
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#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.2945 0.90488 0.908 0.088 0.004
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.78757 0.000 1.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0661 0.78660 0.004 0.988 0.008
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.7157 0.51977 0.056 0.276 0.668
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.2625 0.78016 0.000 0.916 0.084
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.4095 0.86762 0.880 0.056 0.064
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.3030 0.90160 0.904 0.092 0.004
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.5339 0.86359 0.824 0.080 0.096
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.2772 0.78423 0.004 0.916 0.080
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0892 0.78495 0.000 0.980 0.020
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.5253 0.86563 0.828 0.076 0.096
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0475 0.78719 0.004 0.992 0.004
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.8614 0.65541 0.172 0.228 0.600
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.7402 0.23624 0.052 0.624 0.324
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.7054 0.24518 0.524 0.020 0.456
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.6057 0.52520 0.004 0.656 0.340
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.1753 0.79160 0.000 0.952 0.048
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.5497 0.79069 0.804 0.048 0.148
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0237 0.78696 0.000 0.996 0.004
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0892 0.78541 0.000 0.980 0.020
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.6081 0.51681 0.004 0.652 0.344
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.6416 0.43620 0.616 0.008 0.376
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0475 0.78709 0.004 0.992 0.004
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.4035 0.89522 0.880 0.080 0.040
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.2796 0.77726 0.000 0.908 0.092
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.4002 0.73892 0.000 0.840 0.160
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.7868 0.35127 0.056 0.420 0.524
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.3742 0.89380 0.892 0.072 0.036
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0592 0.78899 0.000 0.988 0.012
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.2711 0.90532 0.912 0.088 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.3619 0.75444 0.000 0.864 0.136
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.2625 0.78016 0.000 0.916 0.084
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.1015 0.78375 0.012 0.980 0.008
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0747 0.78922 0.000 0.984 0.016
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0661 0.78704 0.004 0.988 0.008
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0892 0.78994 0.000 0.980 0.020
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.6981 0.52464 0.068 0.704 0.228
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.78757 0.000 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.1753 0.79046 0.000 0.952 0.048
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3434 0.75652 0.032 0.904 0.064
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0237 0.78696 0.000 0.996 0.004
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.2711 0.90532 0.912 0.088 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0237 0.78846 0.000 0.996 0.004
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0237 0.78696 0.000 0.996 0.004
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.3856 0.89249 0.888 0.072 0.040
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3989 0.75985 0.012 0.864 0.124
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.8614 0.65541 0.172 0.228 0.600
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4602 0.71186 0.040 0.852 0.108
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.1015 0.78375 0.012 0.980 0.008
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.5465 0.61467 0.000 0.712 0.288
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.1453 0.54803 0.024 0.008 0.968
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0237 0.78696 0.000 0.996 0.004
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.3619 0.75592 0.000 0.864 0.136
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.6079 0.43860 0.216 0.748 0.036
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.6416 0.43379 0.616 0.008 0.376
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.7566 0.06211 0.040 0.512 0.448
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.3713 0.72437 0.032 0.892 0.076
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.6008 0.53606 0.004 0.664 0.332
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.78757 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.6969 0.34960 0.024 0.596 0.380
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0661 0.78611 0.004 0.988 0.008
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.7613 0.55192 0.620 0.064 0.316
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.2711 0.90532 0.912 0.088 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.8614 0.65541 0.172 0.228 0.600
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.1753 0.79046 0.000 0.952 0.048
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.5956 0.54945 0.004 0.672 0.324
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0237 0.78696 0.000 0.996 0.004
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.4544 0.85576 0.860 0.056 0.084
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.3375 0.89688 0.892 0.100 0.008
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2448 0.90200 0.924 0.076 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.8472 0.64874 0.160 0.228 0.612
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.2860 0.78169 0.004 0.912 0.084
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0892 0.79111 0.000 0.980 0.020
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0892 0.78994 0.000 0.980 0.020
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.6416 0.43620 0.616 0.008 0.376
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.2711 0.90532 0.912 0.088 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5058 0.66399 0.000 0.756 0.244
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.7157 0.52103 0.056 0.276 0.668
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.2448 0.90200 0.924 0.076 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1015 0.78631 0.012 0.980 0.008
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5216 0.64139 0.000 0.740 0.260
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.2945 0.90488 0.908 0.088 0.004
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.2537 0.78242 0.000 0.920 0.080
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0237 0.78696 0.000 0.996 0.004
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3112 0.76226 0.028 0.916 0.056
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.3375 0.89688 0.892 0.100 0.008
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.2711 0.90532 0.912 0.088 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.8243 -0.00569 0.084 0.548 0.368
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2711 0.90532 0.912 0.088 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 3 0.8614 0.65541 0.172 0.228 0.600
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 3 0.8614 0.65541 0.172 0.228 0.600
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4235 0.72223 0.000 0.824 0.176
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5138 0.66788 0.000 0.748 0.252
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3112 0.89948 0.900 0.096 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.78757 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5212 0.67792 0.064 0.828 0.108
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2711 0.90532 0.912 0.088 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7425 0.23133 0.052 0.620 0.328
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7402 0.23624 0.052 0.624 0.324
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.4925 0.87174 0.844 0.076 0.080
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.5896 0.60033 0.008 0.700 0.292
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.7083 0.34616 0.028 0.592 0.380
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5881 0.32725 0.256 0.016 0.728
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.78757 0.000 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.3193 0.89690 0.896 0.100 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3989 0.86754 0.864 0.124 0.012
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.78757 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.7124 0.52238 0.056 0.272 0.672
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0237 0.78712 0.004 0.996 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4609 0.71953 0.052 0.856 0.092
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3619 0.75592 0.000 0.864 0.136
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0237 0.78696 0.000 0.996 0.004
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.78757 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.4411 0.84561 0.844 0.140 0.016
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5397 0.62296 0.000 0.720 0.280
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2448 0.90200 0.924 0.076 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1015 0.78465 0.008 0.980 0.012
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.6033 0.52990 0.004 0.660 0.336
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.4830 0.87334 0.848 0.084 0.068
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.2711 0.90532 0.912 0.088 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3267 0.76926 0.000 0.884 0.116
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.3030 0.90160 0.904 0.092 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.5553 0.62816 0.004 0.724 0.272
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5831 0.61451 0.008 0.708 0.284
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0237 0.78696 0.000 0.996 0.004
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3619 0.75592 0.000 0.864 0.136
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0892 0.79044 0.000 0.980 0.020
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1163 0.79190 0.000 0.972 0.028
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.7328 0.33814 0.044 0.612 0.344
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.5754 0.59601 0.004 0.700 0.296
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.6008 0.53606 0.004 0.664 0.332
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7034 0.37981 0.048 0.668 0.284
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.3606 0.803662 0.840 0.000 0.020 0.140
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.2660 0.697051 0.008 0.908 0.072 0.012
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4840 0.600569 0.044 0.816 0.052 0.088
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.6212 0.612877 0.000 0.380 0.560 0.060
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.1174 0.869161 0.968 0.020 0.000 0.012
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.2586 0.694718 0.008 0.912 0.068 0.012
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1406 0.868901 0.960 0.016 0.000 0.024
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.8597 0.376909 0.264 0.076 0.164 0.496
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.5360 0.590850 0.000 0.436 0.552 0.012
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0804 0.868707 0.980 0.008 0.000 0.012
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.5112 -0.241918 0.000 0.560 0.436 0.004
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1302 0.709747 0.000 0.956 0.044 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.3808 0.783212 0.808 0.004 0.004 0.184
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7607 -0.166975 0.004 0.464 0.352 0.180
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3627 0.662869 0.008 0.840 0.144 0.008
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5212 0.616983 0.000 0.420 0.572 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2153 0.710698 0.008 0.936 0.036 0.020
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0469 0.710790 0.000 0.988 0.012 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.1406 0.867384 0.960 0.016 0.000 0.024
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.3113 0.695245 0.004 0.876 0.108 0.012
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.5650 0.558242 0.000 0.432 0.544 0.024
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.5212 0.616983 0.000 0.420 0.572 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7293 0.285636 0.036 0.628 0.172 0.164
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1661 0.709225 0.000 0.944 0.052 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.5300 0.615178 0.000 0.408 0.580 0.012
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.7310 0.240818 0.480 0.000 0.160 0.360
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1305 0.713636 0.000 0.960 0.036 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1598 0.708356 0.004 0.956 0.020 0.020
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#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 3 0.5229 0.604474 0.000 0.428 0.564 0.008
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.1575 0.865006 0.956 0.028 0.004 0.012
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.1339 0.868630 0.964 0.024 0.004 0.008
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.7607 -0.166975 0.004 0.464 0.352 0.180
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.2530 0.673448 0.000 0.888 0.112 0.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.4283 0.443523 0.000 0.740 0.256 0.004
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.2483 0.837899 0.920 0.056 0.012 0.012
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0188 0.710902 0.000 0.996 0.004 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.3900 0.657081 0.004 0.848 0.096 0.052
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.2660 0.695568 0.008 0.908 0.072 0.012
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.6942 -0.030976 0.004 0.576 0.292 0.128
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.1406 0.867384 0.960 0.016 0.000 0.024
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.2530 0.699249 0.008 0.912 0.072 0.008
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.4800 0.105101 0.000 0.044 0.760 0.196
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.4122 0.515248 0.000 0.760 0.236 0.004
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.3606 0.803662 0.840 0.000 0.020 0.140
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.1191 0.866963 0.968 0.024 0.004 0.004
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.4153 0.767690 0.784 0.008 0.004 0.204
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.4339 0.568878 0.008 0.764 0.224 0.004
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.1767 0.710431 0.000 0.944 0.044 0.012
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.4012 0.770901 0.788 0.004 0.004 0.204
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.2456 0.701311 0.008 0.916 0.068 0.008
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.7063 -0.071807 0.000 0.508 0.360 0.132
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.7622 0.075225 0.364 0.016 0.136 0.484
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.5125 0.640460 0.000 0.388 0.604 0.008
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.2281 0.690135 0.000 0.904 0.096 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.5169 0.663693 0.696 0.000 0.032 0.272
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0188 0.712119 0.000 0.996 0.004 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.1388 0.709169 0.000 0.960 0.028 0.012
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.5112 0.642159 0.000 0.384 0.608 0.008
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.7310 0.240818 0.480 0.000 0.160 0.360
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.2310 0.701935 0.004 0.920 0.068 0.008
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.3389 0.831794 0.868 0.024 0.004 0.104
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.4428 0.436791 0.000 0.720 0.276 0.004
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.4936 0.103173 0.000 0.624 0.372 0.004
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.6808 0.295818 0.000 0.236 0.600 0.164
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.2593 0.839719 0.892 0.004 0.000 0.104
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0469 0.713015 0.000 0.988 0.012 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.4877 0.233806 0.000 0.664 0.328 0.008
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4122 0.515248 0.000 0.760 0.236 0.004
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.2716 0.693052 0.012 0.908 0.068 0.012
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0921 0.713336 0.000 0.972 0.028 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.2515 0.700862 0.004 0.912 0.072 0.012
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1118 0.713487 0.000 0.964 0.036 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.7044 0.368379 0.056 0.664 0.108 0.172
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.1661 0.710429 0.000 0.944 0.052 0.004
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.3725 0.624016 0.000 0.812 0.180 0.008
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3047 0.682434 0.012 0.900 0.040 0.048
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0707 0.710706 0.000 0.980 0.020 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0921 0.712080 0.000 0.972 0.028 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0188 0.712119 0.000 0.996 0.004 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.2773 0.833931 0.880 0.004 0.000 0.116
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4168 0.638330 0.000 0.828 0.092 0.080
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4148 0.633413 0.012 0.844 0.072 0.072
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.2716 0.693052 0.012 0.908 0.068 0.012
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.5602 -0.403034 0.000 0.508 0.472 0.020
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 4 0.4804 0.537259 0.000 0.000 0.384 0.616
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0336 0.711674 0.000 0.992 0.008 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.4283 0.443523 0.000 0.740 0.256 0.004
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.5287 0.422226 0.216 0.736 0.016 0.032
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.7300 0.229128 0.472 0.000 0.156 0.372
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5716 0.620736 0.000 0.272 0.668 0.060
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.3247 0.633759 0.000 0.880 0.060 0.060
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.5320 0.609602 0.000 0.416 0.572 0.012
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.2048 0.705300 0.000 0.928 0.064 0.008
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.6123 0.621503 0.000 0.372 0.572 0.056
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0927 0.710417 0.000 0.976 0.016 0.008
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.6031 0.346181 0.564 0.000 0.048 0.388
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.3725 0.624016 0.000 0.812 0.180 0.008
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.5212 0.613224 0.000 0.420 0.572 0.008
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0592 0.710675 0.000 0.984 0.016 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.3806 0.788556 0.824 0.000 0.020 0.156
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.1674 0.862965 0.952 0.032 0.004 0.012
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0804 0.868707 0.980 0.008 0.000 0.012
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 4 0.9067 0.682120 0.156 0.164 0.196 0.484
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.4216 0.601375 0.008 0.788 0.196 0.008
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1302 0.709747 0.000 0.956 0.044 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1118 0.713487 0.000 0.964 0.036 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.7310 0.240818 0.480 0.000 0.160 0.360
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5285 -0.358189 0.000 0.524 0.468 0.008
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4919 0.093890 0.000 0.048 0.752 0.200
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0804 0.868707 0.980 0.008 0.000 0.012
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1007 0.714539 0.008 0.976 0.008 0.008
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5147 -0.336355 0.000 0.536 0.460 0.004
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.1510 0.868010 0.956 0.016 0.000 0.028
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.4053 0.563255 0.000 0.768 0.228 0.004
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.711401 0.000 1.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2807 0.690710 0.016 0.912 0.032 0.040
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.1674 0.862965 0.952 0.032 0.004 0.012
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.8787 -0.220950 0.048 0.412 0.272 0.268
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 4 0.8956 0.702141 0.156 0.164 0.180 0.500
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4483 0.390695 0.000 0.712 0.284 0.004
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5472 -0.263297 0.000 0.544 0.440 0.016
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1443 0.865427 0.960 0.028 0.004 0.008
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4689 0.611557 0.040 0.824 0.052 0.084
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7073 -0.096403 0.000 0.504 0.364 0.132
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7063 -0.071807 0.000 0.508 0.360 0.132
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.3808 0.783212 0.808 0.004 0.004 0.184
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.6365 -0.391362 0.004 0.504 0.440 0.052
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.6110 0.627426 0.000 0.368 0.576 0.056
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.6359 0.536544 0.132 0.000 0.220 0.648
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.1543 0.863401 0.956 0.032 0.004 0.008
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.2483 0.837899 0.920 0.056 0.012 0.012
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.4755 0.096238 0.000 0.040 0.760 0.200
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.2156 0.700920 0.004 0.928 0.060 0.008
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4149 0.645845 0.032 0.852 0.048 0.068
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4283 0.443523 0.000 0.740 0.256 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0336 0.711674 0.000 0.992 0.008 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0707 0.712258 0.000 0.980 0.020 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.2911 0.818197 0.900 0.072 0.012 0.016
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5581 -0.338974 0.000 0.532 0.448 0.020
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0804 0.868707 0.980 0.008 0.000 0.012
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.2660 0.696262 0.008 0.908 0.072 0.012
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5300 0.615178 0.000 0.408 0.580 0.012
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.4190 0.794263 0.816 0.032 0.004 0.148
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1297 0.868438 0.964 0.016 0.000 0.020
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.4621 0.379458 0.000 0.708 0.284 0.008
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.1004 0.866913 0.972 0.024 0.004 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.5168 0.478188 0.000 0.492 0.504 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6651 0.036513 0.004 0.596 0.300 0.100
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0188 0.712119 0.000 0.996 0.004 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4283 0.443523 0.000 0.740 0.256 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1211 0.713420 0.000 0.960 0.040 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1211 0.713816 0.000 0.960 0.040 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.6315 0.516598 0.000 0.396 0.540 0.064
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.5147 0.545395 0.000 0.460 0.536 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5310 0.610367 0.000 0.412 0.576 0.012
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.6701 0.022991 0.000 0.564 0.328 0.108
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 4 0.0992 0.81903 0.024 0.008 0.000 0.968 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4466 0.62297 0.076 0.000 0.176 0.748 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 4 0.0992 0.81903 0.024 0.008 0.000 0.968 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4721 0.64501 0.024 0.764 0.140 0.000 0.072
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4823 0.61001 0.032 0.776 0.136 0.020 0.036
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.6254 0.64822 0.076 0.280 0.048 0.000 0.596
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1787 0.81502 0.016 0.012 0.032 0.940 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4745 0.64140 0.024 0.760 0.148 0.000 0.068
#> C227E512-1327-4BD0-8A9E-613D64F37829 4 0.0992 0.81903 0.024 0.008 0.000 0.968 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1369 0.81971 0.028 0.008 0.008 0.956 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.7167 0.82849 0.548 0.084 0.000 0.148 0.220
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.7705 0.45995 0.236 0.060 0.536 0.124 0.044
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#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.6478 -0.10588 0.536 0.000 0.340 0.076 0.048
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0992 0.70938 0.000 0.968 0.008 0.000 0.024
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.1988 0.79911 0.008 0.016 0.048 0.928 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.3631 0.72539 0.008 0.040 0.112 0.836 0.004
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0992 0.70938 0.000 0.968 0.008 0.000 0.024
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 5 0.6677 0.15112 0.244 0.020 0.196 0.000 0.540
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4461 0.65176 0.016 0.776 0.144 0.000 0.064
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4355 0.63914 0.040 0.812 0.100 0.012 0.036
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4218 0.28888 0.008 0.660 0.000 0.000 0.332
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0771 0.70650 0.000 0.976 0.004 0.000 0.020
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0992 0.70938 0.000 0.968 0.008 0.000 0.024
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4012 0.69393 0.008 0.056 0.120 0.812 0.004
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.4875 0.56384 0.020 0.400 0.004 0.000 0.576
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.0912 0.81525 0.012 0.000 0.016 0.972 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.4746 0.64643 0.028 0.764 0.140 0.000 0.068
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.3835 0.68324 0.012 0.244 0.000 0.000 0.744
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.5382 0.61011 0.104 0.024 0.148 0.720 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 4 0.0992 0.81903 0.024 0.008 0.000 0.968 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.4898 0.32657 0.004 0.632 0.032 0.000 0.332
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.1597 0.80424 0.000 0.012 0.048 0.940 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.4088 0.62978 0.000 0.368 0.000 0.000 0.632
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6662 -0.32329 0.084 0.456 0.036 0.004 0.420
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0671 0.70698 0.000 0.980 0.004 0.000 0.016
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4218 0.28888 0.008 0.660 0.000 0.000 0.332
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1697 0.70601 0.000 0.932 0.008 0.000 0.060
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1430 0.70871 0.000 0.944 0.004 0.000 0.052
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.6441 0.52567 0.072 0.308 0.056 0.000 0.564
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.3969 0.69274 0.000 0.304 0.004 0.000 0.692
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.3863 0.68482 0.012 0.248 0.000 0.000 0.740
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7132 0.15298 0.068 0.544 0.172 0.000 0.216
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3988 0.4191 0.012 0.000 0.000 0.660 0.324 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4484 0.4221 0.000 0.516 0.016 0.000 0.008 0.460
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4807 0.4210 0.024 0.756 0.012 0.012 0.088 0.108
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.6344 0.4175 0.084 0.144 0.564 0.000 0.000 0.208
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2933 0.7611 0.032 0.008 0.000 0.860 0.096 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4325 0.4104 0.000 0.504 0.008 0.000 0.008 0.480
#> C227E512-1327-4BD0-8A9E-613D64F37829 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.2153 0.7761 0.040 0.004 0.000 0.912 0.040 0.004
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 5 0.7946 0.1735 0.272 0.060 0.028 0.060 0.444 0.136
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2825 0.6142 0.008 0.136 0.844 0.000 0.000 0.012
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1082 0.7682 0.000 0.000 0.000 0.956 0.040 0.004
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4729 0.5479 0.000 0.284 0.636 0.000 0.000 0.080
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1719 0.6117 0.000 0.924 0.060 0.000 0.000 0.016
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4227 -0.1614 0.008 0.000 0.000 0.496 0.492 0.004
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2237 0.6165 0.000 0.896 0.036 0.000 0.000 0.068
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.7595 0.7003 0.064 0.316 0.120 0.000 0.080 0.420
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5653 0.4254 0.000 0.496 0.140 0.000 0.004 0.360
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2957 0.6137 0.004 0.120 0.844 0.000 0.000 0.032
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2156 0.5959 0.008 0.920 0.028 0.008 0.004 0.032
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0508 0.6044 0.000 0.984 0.004 0.000 0.000 0.012
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 4 0.1484 0.7751 0.040 0.004 0.000 0.944 0.004 0.008
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.5133 0.4544 0.000 0.536 0.076 0.000 0.004 0.384
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.6108 0.4946 0.068 0.184 0.592 0.000 0.000 0.156
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.2179 0.6164 0.000 0.900 0.036 0.000 0.000 0.064
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2957 0.6137 0.004 0.120 0.844 0.000 0.000 0.032
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6996 0.2840 0.152 0.564 0.188 0.032 0.036 0.028
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4506 0.5017 0.000 0.608 0.044 0.000 0.000 0.348
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2667 0.6059 0.020 0.128 0.852 0.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 5 0.5395 0.5655 0.092 0.000 0.000 0.080 0.680 0.148
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1605 0.6032 0.000 0.936 0.044 0.000 0.004 0.016
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1836 0.5835 0.012 0.936 0.008 0.004 0.012 0.028
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 5 0.6340 0.3070 0.080 0.116 0.004 0.008 0.600 0.192
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1644 0.7730 0.012 0.004 0.000 0.932 0.052 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.4220 0.4322 0.000 0.520 0.008 0.000 0.004 0.468
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.5057 0.4912 0.000 0.324 0.580 0.000 0.000 0.096
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2825 0.6142 0.008 0.136 0.844 0.000 0.000 0.012
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.2106 0.6165 0.000 0.904 0.032 0.000 0.000 0.064
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.4729 0.5479 0.000 0.284 0.636 0.000 0.000 0.080
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.2106 0.6165 0.000 0.904 0.032 0.000 0.000 0.064
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0603 0.6052 0.000 0.980 0.004 0.000 0.000 0.016
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5442 0.3541 0.052 0.632 0.268 0.000 0.020 0.028
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.5517 0.3338 0.660 0.000 0.048 0.008 0.200 0.084
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6745 -0.3183 0.080 0.520 0.012 0.000 0.128 0.260
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.6504 0.0852 0.136 0.056 0.524 0.000 0.008 0.276
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.7184 0.3287 0.176 0.056 0.328 0.000 0.024 0.416
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.5018 0.4916 0.048 0.756 0.108 0.040 0.012 0.036
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1082 0.7682 0.000 0.000 0.000 0.956 0.040 0.004
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 5 0.5213 0.5511 0.100 0.000 0.008 0.060 0.712 0.120
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.2799 0.7317 0.000 0.012 0.000 0.852 0.124 0.012
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0458 0.6075 0.000 0.984 0.016 0.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.2400 0.7440 0.000 0.004 0.000 0.872 0.116 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4273 0.5019 0.008 0.364 0.616 0.000 0.008 0.004
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3142 0.5234 0.004 0.856 0.016 0.004 0.028 0.092
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 5 0.5369 0.4315 0.072 0.000 0.004 0.364 0.548 0.012
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.2512 0.7397 0.000 0.008 0.000 0.868 0.116 0.008
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.3770 0.6520 0.000 0.012 0.000 0.760 0.204 0.024
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.5738 0.2605 0.000 0.496 0.312 0.000 0.000 0.192
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 5 0.5369 0.4315 0.072 0.000 0.004 0.364 0.548 0.012
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.0935 0.7725 0.004 0.000 0.000 0.964 0.032 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.6259 0.4172 0.084 0.136 0.576 0.000 0.000 0.204
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.4378 0.4361 0.000 0.528 0.016 0.000 0.004 0.452
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.2581 0.7279 0.016 0.000 0.000 0.856 0.128 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.7047 -0.6188 0.060 0.432 0.056 0.000 0.080 0.372
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.2611 0.7373 0.000 0.008 0.000 0.864 0.116 0.012
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0810 0.6054 0.004 0.976 0.008 0.000 0.004 0.008
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.0767 0.7766 0.008 0.004 0.000 0.976 0.012 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3828 0.5803 0.012 0.288 0.696 0.000 0.000 0.004
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.3903 0.5652 0.012 0.304 0.680 0.000 0.004 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 2 0.9686 -0.3555 0.132 0.244 0.132 0.176 0.088 0.228
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.4554 0.5066 0.024 0.348 0.616 0.000 0.008 0.004
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 4 0.1168 0.7739 0.016 0.000 0.000 0.956 0.028 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.3936 0.6257 0.004 0.176 0.760 0.000 0.000 0.060
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0603 0.6052 0.000 0.980 0.004 0.000 0.000 0.016
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.2425 0.7605 0.024 0.004 0.000 0.884 0.088 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0603 0.6052 0.000 0.980 0.004 0.000 0.000 0.016
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.1598 0.7746 0.040 0.004 0.000 0.940 0.008 0.008
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.4187 0.5068 0.000 0.624 0.016 0.000 0.004 0.356
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 5 0.4227 0.1393 0.008 0.000 0.000 0.492 0.496 0.004
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.4412 0.4048 0.000 0.500 0.008 0.000 0.012 0.480
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 5 0.5695 0.5208 0.084 0.012 0.004 0.052 0.664 0.184
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.5472 0.1689 0.000 0.504 0.364 0.000 0.000 0.132
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.4392 0.6213 0.004 0.036 0.000 0.736 0.196 0.028
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3433 0.4983 0.004 0.832 0.024 0.000 0.032 0.108
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0603 0.6052 0.000 0.980 0.004 0.000 0.000 0.016
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.2106 0.6165 0.000 0.904 0.032 0.000 0.000 0.064
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 4 0.1484 0.7751 0.040 0.004 0.000 0.944 0.004 0.008
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.6047 0.0635 0.000 0.392 0.352 0.000 0.000 0.256
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.6076 0.4821 0.076 0.664 0.160 0.028 0.016 0.056
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0696 0.6030 0.004 0.980 0.004 0.000 0.004 0.008
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 4 0.1484 0.7751 0.040 0.004 0.000 0.944 0.004 0.008
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.2119 0.6167 0.000 0.904 0.036 0.000 0.000 0.060
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.5714 0.4276 0.000 0.508 0.196 0.000 0.000 0.296
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4542 0.5357 0.032 0.112 0.756 0.000 0.004 0.096
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.4293 0.0743 0.012 0.000 0.000 0.536 0.448 0.004
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.5832 0.8516 0.600 0.032 0.256 0.104 0.004 0.004
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.2276 0.5674 0.004 0.908 0.004 0.004 0.028 0.052
#> 14B59970-8F21-4201-9DA3-F78943A62534 6 0.7198 0.3115 0.176 0.056 0.340 0.000 0.024 0.404
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 4 0.7735 -0.1095 0.264 0.024 0.128 0.440 0.132 0.012
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.4555 0.4561 0.000 0.548 0.028 0.000 0.004 0.420
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 4 0.1484 0.7751 0.040 0.004 0.000 0.944 0.004 0.008
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#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.1268 0.6103 0.004 0.952 0.036 0.000 0.000 0.008
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.6792 0.3194 0.160 0.616 0.100 0.044 0.040 0.040
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.4363 0.5144 0.000 0.636 0.040 0.000 0.000 0.324
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.5767 0.3967 0.000 0.496 0.204 0.000 0.000 0.300
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3615 0.4836 0.012 0.824 0.012 0.004 0.032 0.116
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.2653 0.6087 0.000 0.844 0.012 0.000 0.000 0.144
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.2365 0.6168 0.000 0.888 0.040 0.000 0.000 0.072
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0458 0.6075 0.000 0.984 0.016 0.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.4022 0.3375 0.004 0.000 0.000 0.628 0.360 0.008
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4567 0.5173 0.052 0.768 0.116 0.000 0.016 0.048
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4561 0.3926 0.028 0.760 0.016 0.004 0.044 0.148
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.4412 0.4048 0.000 0.500 0.008 0.000 0.012 0.480
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.4571 0.5210 0.016 0.340 0.624 0.000 0.008 0.012
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.4260 0.5363 0.740 0.000 0.184 0.000 0.012 0.064
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0508 0.6055 0.000 0.984 0.012 0.000 0.000 0.004
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.4079 0.1897 0.004 0.608 0.380 0.000 0.000 0.008
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.5319 0.3837 0.008 0.708 0.012 0.136 0.104 0.032
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 5 0.5213 0.5511 0.100 0.000 0.008 0.060 0.712 0.120
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5797 0.3965 0.084 0.120 0.652 0.000 0.004 0.140
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.2822 0.4816 0.012 0.868 0.008 0.000 0.016 0.096
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.2389 0.6068 0.008 0.128 0.864 0.000 0.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.4508 0.4499 0.000 0.536 0.024 0.000 0.004 0.436
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.6259 0.4172 0.084 0.136 0.576 0.000 0.000 0.204
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1116 0.6015 0.004 0.960 0.000 0.000 0.008 0.028
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.6558 -0.1702 0.260 0.000 0.008 0.432 0.284 0.016
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.5767 0.3967 0.000 0.496 0.204 0.000 0.000 0.300
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.2588 0.6128 0.004 0.124 0.860 0.000 0.000 0.012
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0603 0.6052 0.000 0.980 0.004 0.000 0.000 0.016
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.4293 0.0743 0.012 0.000 0.000 0.536 0.448 0.004
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3470 0.6860 0.000 0.012 0.000 0.792 0.176 0.020
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1082 0.7682 0.000 0.000 0.000 0.956 0.040 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5990 0.8362 0.584 0.032 0.268 0.104 0.004 0.008
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.5908 0.3945 0.000 0.484 0.200 0.000 0.004 0.312
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1563 0.6097 0.000 0.932 0.056 0.000 0.000 0.012
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.1194 0.6089 0.004 0.956 0.032 0.000 0.000 0.008
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 5 0.5395 0.5655 0.092 0.000 0.000 0.080 0.680 0.148
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.4777 0.5717 0.004 0.240 0.664 0.000 0.000 0.092
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.6691 -0.2350 0.236 0.008 0.412 0.000 0.024 0.320
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1082 0.7682 0.000 0.000 0.000 0.956 0.040 0.004
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1026 0.6009 0.004 0.968 0.008 0.008 0.000 0.012
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.4261 0.5059 0.008 0.360 0.620 0.000 0.008 0.004
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 4 0.1699 0.7748 0.040 0.004 0.000 0.936 0.012 0.008
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.5959 0.3105 0.000 0.452 0.260 0.000 0.000 0.288
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0291 0.6055 0.000 0.992 0.004 0.000 0.000 0.004
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3322 0.5295 0.012 0.852 0.012 0.008 0.028 0.088
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3367 0.6962 0.000 0.012 0.000 0.804 0.164 0.020
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.8961 0.3777 0.180 0.216 0.192 0.020 0.084 0.308
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.1371 0.7761 0.040 0.004 0.000 0.948 0.004 0.004
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.5698 0.8540 0.604 0.032 0.256 0.104 0.000 0.004
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.5516 -0.1449 0.000 0.464 0.428 0.000 0.008 0.100
#> 29968837-2519-4D95-91CE-EC981D6781DC 3 0.5380 0.4141 0.012 0.396 0.528 0.000 0.012 0.052
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.2920 0.7270 0.000 0.008 0.000 0.844 0.128 0.020
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2119 0.6167 0.000 0.904 0.036 0.000 0.000 0.060
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4946 0.3709 0.032 0.736 0.008 0.012 0.064 0.148
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.6468 0.7289 0.024 0.372 0.112 0.000 0.028 0.464
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.6385 0.7275 0.024 0.360 0.104 0.000 0.028 0.484
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 5 0.4227 0.1393 0.008 0.000 0.000 0.492 0.496 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5171 0.5292 0.048 0.288 0.632 0.000 0.016 0.016
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.6211 0.4326 0.084 0.136 0.584 0.000 0.000 0.196
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.6381 0.1953 0.572 0.000 0.048 0.036 0.260 0.084
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2106 0.6165 0.000 0.904 0.032 0.000 0.000 0.064
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3019 0.7244 0.000 0.012 0.000 0.840 0.128 0.020
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4392 0.6213 0.004 0.036 0.000 0.736 0.196 0.028
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2106 0.6165 0.000 0.904 0.032 0.000 0.000 0.064
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.6470 -0.2149 0.236 0.000 0.420 0.000 0.024 0.320
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4217 0.4339 0.000 0.524 0.008 0.000 0.004 0.464
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4520 0.4436 0.028 0.776 0.016 0.008 0.052 0.120
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4079 0.1897 0.004 0.608 0.380 0.000 0.000 0.008
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0508 0.6055 0.000 0.984 0.012 0.000 0.000 0.004
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2046 0.6162 0.000 0.908 0.032 0.000 0.000 0.060
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4653 0.5876 0.004 0.052 0.000 0.712 0.208 0.024
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.4554 0.5066 0.024 0.348 0.616 0.000 0.008 0.004
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1082 0.7682 0.000 0.000 0.000 0.956 0.040 0.004
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.4486 0.4185 0.000 0.512 0.016 0.000 0.008 0.464
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2667 0.6059 0.020 0.128 0.852 0.000 0.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.5092 0.4129 0.032 0.024 0.004 0.648 0.280 0.012
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 4 0.1226 0.7768 0.040 0.004 0.000 0.952 0.000 0.004
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.5583 0.1926 0.000 0.500 0.348 0.000 0.000 0.152
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2556 0.7373 0.000 0.008 0.000 0.864 0.120 0.008
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3900 0.6132 0.000 0.232 0.728 0.000 0.000 0.040
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6336 0.2846 0.088 0.392 0.464 0.000 0.020 0.036
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0458 0.6075 0.000 0.984 0.016 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4079 0.1897 0.004 0.608 0.380 0.000 0.000 0.008
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1759 0.6091 0.004 0.924 0.064 0.000 0.004 0.004
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1367 0.6104 0.000 0.944 0.044 0.000 0.000 0.012
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.6756 0.2754 0.076 0.184 0.508 0.000 0.004 0.228
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3628 0.6296 0.004 0.168 0.784 0.000 0.000 0.044
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.2631 0.6049 0.012 0.128 0.856 0.000 0.004 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.6436 -0.5927 0.028 0.468 0.108 0.000 0.024 0.372
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.993 0.996 0.4659 0.535 0.535
#> 3 3 0.564 0.504 0.762 0.3520 0.843 0.709
#> 4 4 0.592 0.620 0.736 0.1453 0.767 0.474
#> 5 5 0.664 0.593 0.737 0.0801 0.921 0.725
#> 6 6 0.749 0.718 0.810 0.0483 0.902 0.608
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0376 0.997 0.996 0.004
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.995 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0376 0.997 0.996 0.004
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.996 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.995 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0376 0.994 0.004 0.996
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0376 0.997 0.996 0.004
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.996 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0376 0.997 0.996 0.004
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0376 0.997 0.996 0.004
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.1633 0.978 0.976 0.024
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#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0376 0.997 0.996 0.004
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.996 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.996 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0376 0.994 0.004 0.996
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.996 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.996 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.996 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0376 0.997 0.996 0.004
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.996 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.996 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.996 0.000 1.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.996 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0376 0.997 0.996 0.004
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.996 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.996 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0376 0.997 0.996 0.004
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0376 0.994 0.004 0.996
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0376 0.997 0.996 0.004
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0376 0.994 0.004 0.996
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.996 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.996 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.0000 0.995 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.996 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.996 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0376 0.997 0.996 0.004
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.995 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0376 0.994 0.004 0.996
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0376 0.994 0.004 0.996
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.996 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.996 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0376 0.994 0.004 0.996
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.996 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.995 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0376 0.997 0.996 0.004
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0376 0.997 0.996 0.004
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.996 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.996 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.996 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.995 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0376 0.997 0.996 0.004
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0376 0.997 0.996 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.3114 0.939 0.056 0.944
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.996 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.996 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.996 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.995 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0376 0.997 0.996 0.004
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.996 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0376 0.994 0.004 0.996
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0376 0.997 0.996 0.004
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.996 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.996 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0376 0.997 0.996 0.004
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.996 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.996 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0376 0.994 0.004 0.996
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.995 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0376 0.997 0.996 0.004
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0376 0.994 0.004 0.996
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0376 0.997 0.996 0.004
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0376 0.997 0.996 0.004
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0376 0.997 0.996 0.004
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.996 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.996 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0376 0.997 0.996 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.996 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.0376 0.994 0.004 0.996
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0376 0.997 0.996 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0376 0.994 0.004 0.996
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0376 0.994 0.004 0.996
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0376 0.997 0.996 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0376 0.994 0.004 0.996
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0376 0.994 0.004 0.996
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.0000 0.995 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.996 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0376 0.997 0.996 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0376 0.997 0.996 0.004
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.996 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0376 0.994 0.004 0.996
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.996 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0000 0.996 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.996 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.996 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.996 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0376 0.997 0.996 0.004
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.996 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0376 0.997 0.996 0.004
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0376 0.994 0.004 0.996
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.996 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.995 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0376 0.997 0.996 0.004
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.996 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0376 0.997 0.996 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.996 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.996 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.996 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.996 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.996 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.996 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0376 0.994 0.004 0.996
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.996 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.996 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0376 0.994 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.3752 0.89159 0.856 0.000 0.144
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0424 0.90943 0.992 0.000 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.3686 0.89285 0.860 0.000 0.140
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.3267 0.54081 0.000 0.884 0.116
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.4453 0.44125 0.152 0.012 0.836
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5327 0.34365 0.000 0.728 0.272
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.1643 0.90963 0.956 0.000 0.044
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.2066 0.57402 0.000 0.940 0.060
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.3686 0.89285 0.860 0.000 0.140
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1163 0.90922 0.972 0.000 0.028
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.7613 0.74303 0.680 0.116 0.204
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.5948 0.62861 0.640 0.000 0.360
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.1529 0.58553 0.000 0.960 0.040
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.90996 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0592 0.59465 0.000 0.988 0.012
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6267 -0.20265 0.000 0.548 0.452
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.1163 0.90607 0.972 0.000 0.028
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.6308 -0.30121 0.000 0.508 0.492
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.6225 0.16477 0.000 0.432 0.568
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.59549 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.1860 0.57888 0.000 0.948 0.052
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.6309 -0.31344 0.000 0.504 0.496
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.6308 -0.30121 0.000 0.508 0.492
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.3752 0.89159 0.856 0.000 0.144
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.59549 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.1529 0.58554 0.000 0.960 0.040
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.6267 -0.20265 0.000 0.548 0.452
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.1753 0.58125 0.000 0.952 0.048
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.6008 0.48956 0.000 0.372 0.628
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3192 0.54347 0.000 0.888 0.112
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.1860 0.57888 0.000 0.948 0.052
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.1643 0.90062 0.956 0.000 0.044
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.6280 0.40431 0.000 0.460 0.540
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.6260 0.43642 0.000 0.448 0.552
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.5053 0.56334 0.024 0.164 0.812
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.1031 0.91042 0.976 0.000 0.024
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.4062 0.49571 0.000 0.836 0.164
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0592 0.59465 0.000 0.988 0.012
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.4062 0.88459 0.836 0.000 0.164
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.2261 0.57326 0.000 0.932 0.068
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.6267 -0.20265 0.000 0.548 0.452
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.1031 0.59183 0.000 0.976 0.024
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5497 0.15894 0.000 0.708 0.292
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 3 0.6307 0.34981 0.000 0.488 0.512
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.3686 0.89285 0.860 0.000 0.140
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.6204 0.42792 0.000 0.424 0.576
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.6225 0.62352 0.568 0.000 0.432
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.4555 0.58351 0.000 0.200 0.800
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.3686 0.89285 0.860 0.000 0.140
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.5529 0.31258 0.000 0.704 0.296
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.5529 0.29649 0.000 0.704 0.296
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.6299 0.35457 0.000 0.476 0.524
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0237 0.90998 0.996 0.000 0.004
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.5591 0.66551 0.696 0.000 0.304
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.1031 0.90698 0.976 0.000 0.024
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.6308 -0.30121 0.000 0.508 0.492
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1163 0.90607 0.972 0.000 0.028
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.6026 -0.00371 0.000 0.624 0.376
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.5706 0.54909 0.000 0.320 0.680
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.3879 0.81415 0.848 0.000 0.152
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0892 0.90767 0.980 0.000 0.020
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.1163 0.90607 0.972 0.000 0.028
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0237 0.59506 0.000 0.996 0.004
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0237 0.90974 0.996 0.000 0.004
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.90996 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.1529 0.58554 0.000 0.960 0.040
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.4002 0.50028 0.000 0.840 0.160
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.3686 0.89285 0.860 0.000 0.140
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.90996 1.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4654 0.58429 0.000 0.208 0.792
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.1163 0.90607 0.972 0.000 0.028
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.6309 -0.31344 0.000 0.504 0.496
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0747 0.90986 0.984 0.000 0.016
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.3686 0.89285 0.860 0.000 0.140
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.6215 -0.12670 0.000 0.572 0.428
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.6252 -0.17821 0.000 0.556 0.444
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.3530 0.86503 0.900 0.032 0.068
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#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.5968 0.35723 0.000 0.364 0.636
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.4702 0.58461 0.000 0.212 0.788
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.1529 0.58553 0.000 0.960 0.040
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.3267 0.54081 0.000 0.884 0.116
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.5363 0.32899 0.000 0.724 0.276
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 3 0.6260 0.43642 0.000 0.448 0.552
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.3941 0.88954 0.844 0.000 0.156
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.3686 0.89285 0.860 0.000 0.140
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4346 0.87403 0.816 0.000 0.184
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0237 0.59506 0.000 0.996 0.004
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.1529 0.58553 0.000 0.960 0.040
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 3 0.6299 0.38105 0.000 0.476 0.524
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0237 0.90974 0.996 0.000 0.004
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.1163 0.90607 0.972 0.000 0.028
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0592 0.90897 0.988 0.000 0.012
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.8402 0.23072 0.092 0.376 0.532
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0237 0.59557 0.000 0.996 0.004
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.6308 -0.30121 0.000 0.508 0.492
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.6309 -0.31344 0.000 0.504 0.496
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.5465 0.68537 0.712 0.000 0.288
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.3686 0.89285 0.860 0.000 0.140
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.1031 0.59183 0.000 0.976 0.024
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.5560 0.29201 0.000 0.700 0.300
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0237 0.91018 0.996 0.000 0.004
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 3 0.6309 0.31526 0.000 0.500 0.500
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5988 0.01585 0.000 0.632 0.368
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.3686 0.89285 0.860 0.000 0.140
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.59549 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.6308 -0.30121 0.000 0.508 0.492
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.5810 0.54352 0.000 0.336 0.664
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.1163 0.90607 0.972 0.000 0.028
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.3686 0.89285 0.860 0.000 0.140
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.6204 0.13795 0.000 0.424 0.576
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3686 0.89285 0.860 0.000 0.140
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.4062 0.88459 0.836 0.000 0.164
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.4062 0.88459 0.836 0.000 0.164
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0237 0.59557 0.000 0.996 0.004
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.6252 -0.17821 0.000 0.556 0.444
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1163 0.90607 0.972 0.000 0.028
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.6308 -0.30121 0.000 0.508 0.492
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.4618 0.54877 0.024 0.136 0.840
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.3686 0.89285 0.860 0.000 0.140
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.4702 0.58382 0.000 0.212 0.788
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.4702 0.58382 0.000 0.212 0.788
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.1163 0.90607 0.972 0.000 0.028
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5760 0.38017 0.000 0.328 0.672
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.1529 0.58554 0.000 0.960 0.040
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.5785 0.64192 0.668 0.000 0.332
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.6308 -0.30121 0.000 0.508 0.492
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.1163 0.90607 0.972 0.000 0.028
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.1289 0.90562 0.968 0.000 0.032
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.6260 -0.19215 0.000 0.552 0.448
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5706 0.28578 0.000 0.680 0.320
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.4062 0.49571 0.000 0.836 0.164
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.5859 0.51871 0.000 0.344 0.656
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 3 0.6302 0.31723 0.000 0.480 0.520
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.6308 -0.30121 0.000 0.508 0.492
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.6308 -0.30121 0.000 0.508 0.492
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.1163 0.90607 0.972 0.000 0.028
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5650 0.16355 0.000 0.688 0.312
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.90996 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5835 0.30114 0.000 0.660 0.340
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.1964 0.57672 0.000 0.944 0.056
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0237 0.90974 0.996 0.000 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.3686 0.89285 0.860 0.000 0.140
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0237 0.59557 0.000 0.996 0.004
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.1411 0.90946 0.964 0.000 0.036
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1163 0.59050 0.000 0.972 0.028
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6126 -0.04331 0.000 0.600 0.400
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.6308 -0.30121 0.000 0.508 0.492
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.6307 -0.28466 0.000 0.512 0.488
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6308 -0.30121 0.000 0.508 0.492
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.6308 -0.30121 0.000 0.508 0.492
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.2959 0.51916 0.000 0.900 0.100
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.1031 0.59161 0.000 0.976 0.024
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.1964 0.57622 0.000 0.944 0.056
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.4702 0.58382 0.000 0.212 0.788
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.7335 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.5682 0.6911 0.456 0.000 0.024 0.520
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.5088 0.5333 0.000 0.424 0.572 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6116 0.5826 0.000 0.612 0.068 0.320
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3215 0.7170 0.000 0.032 0.876 0.092
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.4925 -0.4504 0.572 0.000 0.000 0.428
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.4608 0.6609 0.000 0.304 0.692 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1854 0.7296 0.940 0.000 0.012 0.048
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.5611 -0.4561 0.564 0.000 0.024 0.412
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5997 0.4506 0.696 0.008 0.088 0.208
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.5733 0.2807 0.216 0.012 0.060 0.712
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.5272 0.7303 0.000 0.112 0.752 0.136
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.5691 0.6797 0.468 0.000 0.024 0.508
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4127 0.7575 0.000 0.124 0.824 0.052
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1722 0.7878 0.000 0.944 0.048 0.008
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.5132 0.7013 0.448 0.000 0.004 0.548
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0804 0.8149 0.000 0.980 0.008 0.012
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.7748 0.1628 0.000 0.324 0.428 0.248
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.2921 0.7557 0.000 0.140 0.860 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4817 0.7297 0.000 0.088 0.784 0.128
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0336 0.8162 0.000 0.992 0.000 0.008
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0657 0.8150 0.000 0.984 0.004 0.012
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.7335 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.2704 0.7586 0.000 0.124 0.876 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.4231 0.7495 0.000 0.096 0.824 0.080
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1970 0.7768 0.000 0.932 0.060 0.008
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4764 0.7314 0.000 0.088 0.788 0.124
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.5032 0.7227 0.048 0.784 0.020 0.148
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 3 0.5329 0.5290 0.000 0.420 0.568 0.012
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4764 0.7314 0.000 0.088 0.788 0.124
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.4382 0.5820 0.296 0.000 0.000 0.704
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1151 0.8157 0.000 0.968 0.008 0.024
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1297 0.8151 0.000 0.964 0.016 0.020
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.6412 0.5626 0.000 0.592 0.088 0.320
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.5696 -0.6423 0.492 0.000 0.024 0.484
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 3 0.5126 0.5049 0.000 0.444 0.552 0.004
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3787 0.7590 0.000 0.124 0.840 0.036
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1978 0.7018 0.928 0.000 0.004 0.068
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.5862 0.6946 0.000 0.148 0.704 0.148
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1635 0.7912 0.000 0.948 0.044 0.008
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.4301 0.7554 0.000 0.120 0.816 0.064
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4434 0.5693 0.000 0.756 0.228 0.016
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0817 0.8153 0.000 0.976 0.000 0.024
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1584 0.8107 0.000 0.952 0.012 0.036
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.6655 0.2277 0.476 0.000 0.084 0.440
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6326 0.5928 0.000 0.632 0.104 0.264
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4446 0.6646 0.000 0.028 0.776 0.196
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.4775 0.6020 0.000 0.028 0.740 0.232
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.1022 0.8149 0.000 0.968 0.000 0.032
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.5691 0.6797 0.468 0.000 0.024 0.508
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.5292 0.4512 0.208 0.000 0.064 0.728
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0336 0.8162 0.000 0.992 0.000 0.008
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.6674 0.3260 0.000 0.584 0.300 0.116
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3168 0.7798 0.000 0.884 0.060 0.056
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.5517 0.5946 0.316 0.000 0.036 0.648
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.4981 0.6891 0.464 0.000 0.000 0.536
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.4933 0.7000 0.432 0.000 0.000 0.568
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.3837 0.7204 0.000 0.224 0.776 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.5688 0.6839 0.464 0.000 0.024 0.512
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.5691 0.6797 0.468 0.000 0.024 0.508
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.4104 0.7478 0.000 0.088 0.832 0.080
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 3 0.5126 0.5049 0.000 0.444 0.552 0.004
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.5691 0.6797 0.468 0.000 0.024 0.508
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.6027 0.6168 0.000 0.664 0.092 0.244
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0336 0.8162 0.000 0.992 0.000 0.008
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.5697 -0.6506 0.488 0.000 0.024 0.488
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.7084 0.2163 0.000 0.520 0.340 0.140
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.6560 0.4189 0.000 0.620 0.248 0.132
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.7818 0.2423 0.332 0.264 0.000 0.404
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.7871 0.2280 0.016 0.496 0.296 0.192
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.1722 0.7328 0.944 0.000 0.008 0.048
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.4514 0.7561 0.000 0.136 0.800 0.064
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0336 0.8155 0.000 0.992 0.000 0.008
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3470 0.6380 0.852 0.008 0.008 0.132
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.5620 -0.4684 0.560 0.000 0.024 0.416
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0376 0.8148 0.000 0.992 0.004 0.004
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.1854 0.7296 0.940 0.000 0.012 0.048
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#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3761 0.7587 0.000 0.852 0.080 0.068
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.1978 0.7018 0.928 0.000 0.004 0.068
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5165 0.6966 0.000 0.752 0.080 0.168
#> CFBE0BCC-D658-4098-8C40-773536AC474E 3 0.5126 0.5049 0.000 0.444 0.552 0.004
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.6756 0.3930 0.000 0.600 0.252 0.148
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 4 0.7192 -0.1982 0.388 0.000 0.140 0.472
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.1042 0.8084 0.000 0.972 0.020 0.008
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.6739 0.2992 0.000 0.576 0.304 0.120
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.3300 0.7397 0.008 0.848 0.000 0.144
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.6060 0.3568 0.096 0.076 0.080 0.748
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.7672 0.1074 0.000 0.284 0.460 0.256
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5788 0.6402 0.000 0.688 0.084 0.228
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.5217 0.7319 0.000 0.108 0.756 0.136
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 3 0.5112 0.5174 0.000 0.436 0.560 0.004
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.2300 0.7269 0.000 0.028 0.924 0.048
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0817 0.8153 0.000 0.976 0.000 0.024
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.4399 0.5447 0.768 0.000 0.020 0.212
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.3088 0.6507 0.864 0.000 0.008 0.128
#> 8F770678-E467-4FB7-8C48-9BBE52490145 3 0.3975 0.7109 0.000 0.240 0.760 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.5222 0.7320 0.000 0.112 0.756 0.132
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0707 0.8155 0.000 0.980 0.000 0.020
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.5685 0.6881 0.460 0.000 0.024 0.516
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.5673 0.6961 0.448 0.000 0.024 0.528
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.8174 0.3317 0.568 0.136 0.088 0.208
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.2704 0.7586 0.000 0.124 0.876 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0927 0.8105 0.000 0.976 0.016 0.008
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0188 0.8156 0.000 0.996 0.000 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.5067 0.4712 0.216 0.000 0.048 0.736
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.4411 0.7508 0.000 0.108 0.812 0.080
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4964 0.5894 0.000 0.028 0.716 0.256
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.5696 0.6513 0.484 0.000 0.024 0.492
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0469 0.8163 0.000 0.988 0.000 0.012
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.6928 0.2760 0.000 0.556 0.308 0.136
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.2704 0.7586 0.000 0.124 0.876 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0336 0.8162 0.000 0.992 0.000 0.008
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2214 0.7966 0.000 0.928 0.044 0.028
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.7918 -0.4399 0.004 0.240 0.348 0.408
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.1389 0.7377 0.952 0.000 0.000 0.048
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1661 0.7107 0.944 0.000 0.004 0.052
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.2053 0.6993 0.924 0.000 0.004 0.072
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.4337 0.7579 0.000 0.140 0.808 0.052
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4423 0.6506 0.000 0.792 0.168 0.040
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0804 0.8137 0.000 0.980 0.008 0.012
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5448 0.6755 0.000 0.724 0.080 0.196
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.1722 0.7327 0.944 0.000 0.008 0.048
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6346 0.6016 0.000 0.640 0.116 0.244
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.6317 0.6012 0.000 0.644 0.116 0.240
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4948 0.7019 0.440 0.000 0.000 0.560
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.8294 0.1986 0.020 0.396 0.356 0.228
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4231 0.7495 0.000 0.096 0.824 0.080
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.5080 0.2795 0.144 0.000 0.092 0.764
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0804 0.8137 0.000 0.980 0.008 0.012
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4955 0.7029 0.444 0.000 0.000 0.556
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5573 0.6390 0.368 0.028 0.000 0.604
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2198 0.7649 0.000 0.920 0.072 0.008
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.5442 0.5602 0.000 0.028 0.636 0.336
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 3 0.5126 0.5049 0.000 0.444 0.552 0.004
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3215 0.7842 0.000 0.876 0.032 0.092
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1174 0.8126 0.000 0.968 0.012 0.020
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1174 0.8076 0.000 0.968 0.020 0.012
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0672 0.8141 0.000 0.984 0.008 0.008
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4941 0.7010 0.436 0.000 0.000 0.564
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.6619 0.2477 0.000 0.568 0.332 0.100
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.5693 0.6734 0.472 0.000 0.024 0.504
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.4950 0.5181 0.000 0.376 0.620 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5361 0.7236 0.000 0.108 0.744 0.148
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.5691 0.6797 0.468 0.000 0.024 0.508
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1576 0.7354 0.948 0.000 0.004 0.048
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.2814 0.7574 0.000 0.132 0.868 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.4996 0.6631 0.484 0.000 0.000 0.516
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.4542 0.7490 0.000 0.108 0.804 0.088
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.7983 0.2498 0.020 0.496 0.280 0.204
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0336 0.8162 0.000 0.992 0.000 0.008
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4992 0.6554 0.000 0.772 0.132 0.096
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0927 0.8105 0.000 0.976 0.016 0.008
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0188 0.8156 0.000 0.996 0.000 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.1792 0.7522 0.000 0.068 0.932 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.4534 0.7555 0.000 0.132 0.800 0.068
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.5351 0.7217 0.000 0.104 0.744 0.152
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5998 0.6339 0.000 0.680 0.108 0.212
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.3305 0.85962 0.776 0.000 0.000 0.224 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3003 0.80779 0.040 0.000 0.064 0.880 0.016
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.3427 0.55941 0.000 0.192 0.012 0.000 0.796
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6210 0.23614 0.016 0.452 0.444 0.088 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.6207 0.19619 0.120 0.008 0.348 0.000 0.524
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2516 0.71011 0.140 0.000 0.000 0.860 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2248 0.58750 0.000 0.088 0.012 0.000 0.900
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.4114 0.84545 0.732 0.000 0.024 0.244 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4801 0.61209 0.204 0.000 0.064 0.724 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.3086 0.47857 0.816 0.004 0.180 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.6003 -0.14286 0.084 0.012 0.528 0.376 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.6968 -0.04211 0.168 0.024 0.400 0.000 0.408
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3446 0.76914 0.104 0.000 0.044 0.844 0.008
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.5903 0.32206 0.096 0.016 0.280 0.000 0.608
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1662 0.81393 0.004 0.936 0.004 0.000 0.056
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1538 0.82164 0.008 0.000 0.036 0.948 0.008
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1041 0.83350 0.004 0.964 0.000 0.000 0.032
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.7086 0.12140 0.012 0.208 0.456 0.008 0.316
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0510 0.59162 0.000 0.016 0.000 0.000 0.984
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.6561 0.06856 0.160 0.008 0.368 0.000 0.464
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0324 0.84085 0.004 0.992 0.000 0.000 0.004
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.3305 0.85962 0.776 0.000 0.000 0.224 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0798 0.58968 0.000 0.016 0.008 0.000 0.976
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.6020 0.25950 0.096 0.012 0.332 0.000 0.560
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.1124 0.82901 0.004 0.960 0.000 0.000 0.036
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.6568 0.10365 0.148 0.012 0.364 0.000 0.476
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.5405 0.54070 0.136 0.660 0.204 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.3300 0.55771 0.000 0.204 0.004 0.000 0.792
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.6630 0.07614 0.156 0.012 0.368 0.000 0.464
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.2280 0.74021 0.000 0.000 0.120 0.880 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0898 0.83539 0.008 0.972 0.020 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0727 0.84053 0.004 0.980 0.012 0.000 0.004
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.5725 0.28378 0.016 0.492 0.444 0.048 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2518 0.79946 0.080 0.000 0.016 0.896 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.3563 0.55104 0.000 0.208 0.012 0.000 0.780
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3944 0.45661 0.004 0.016 0.224 0.000 0.756
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.4449 0.81020 0.752 0.000 0.080 0.168 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.7460 0.19621 0.172 0.060 0.432 0.000 0.336
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1502 0.81319 0.004 0.940 0.000 0.000 0.056
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.6011 0.30827 0.104 0.016 0.284 0.000 0.596
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3441 0.70302 0.004 0.828 0.028 0.000 0.140
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0671 0.83988 0.000 0.980 0.016 0.000 0.004
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1892 0.80971 0.004 0.916 0.080 0.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.5519 -0.19360 0.412 0.000 0.520 0.068 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4985 0.33251 0.016 0.524 0.452 0.008 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.5453 0.06365 0.044 0.008 0.528 0.000 0.420
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.4522 0.08059 0.000 0.008 0.440 0.000 0.552
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.1768 0.81021 0.004 0.924 0.072 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.2654 0.80658 0.056 0.000 0.040 0.896 0.008
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.4620 0.47756 0.012 0.000 0.372 0.612 0.004
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0290 0.82191 0.008 0.000 0.000 0.992 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0451 0.84065 0.004 0.988 0.000 0.000 0.008
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0290 0.82191 0.008 0.000 0.000 0.992 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.7809 -0.30912 0.128 0.416 0.328 0.000 0.128
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2411 0.79712 0.008 0.884 0.108 0.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.3141 0.77927 0.000 0.000 0.152 0.832 0.016
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0290 0.82191 0.008 0.000 0.000 0.992 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0566 0.81562 0.012 0.000 0.004 0.984 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.1410 0.59351 0.000 0.060 0.000 0.000 0.940
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2332 0.81673 0.004 0.000 0.076 0.904 0.016
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3257 0.78861 0.080 0.000 0.052 0.860 0.008
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.5945 0.24812 0.096 0.008 0.340 0.000 0.556
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.3563 0.55104 0.000 0.208 0.012 0.000 0.780
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
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#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.1455 0.82161 0.008 0.000 0.032 0.952 0.008
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.0510 0.59162 0.000 0.016 0.000 0.000 0.984
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.1153 0.83933 0.004 0.964 0.024 0.000 0.008
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.1780 0.81416 0.024 0.000 0.028 0.940 0.008
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.3462 0.55803 0.000 0.196 0.012 0.000 0.792
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.4499 0.70735 0.764 0.004 0.136 0.096 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.4613 0.39428 0.004 0.580 0.408 0.000 0.008
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.5361 0.38068 0.028 0.016 0.412 0.544 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.7878 0.47943 0.156 0.232 0.464 0.000 0.148
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.4446 0.30180 0.000 0.592 0.008 0.000 0.400
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.2569 0.81576 0.012 0.000 0.076 0.896 0.016
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0451 0.84065 0.004 0.988 0.000 0.000 0.008
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0798 0.83991 0.000 0.976 0.016 0.000 0.008
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 5 0.6767 0.00559 0.160 0.016 0.392 0.000 0.432
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.5205 0.38358 0.016 0.020 0.412 0.552 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.3596 0.54826 0.000 0.212 0.012 0.000 0.776
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.0290 0.82191 0.008 0.000 0.000 0.992 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.0703 0.59264 0.000 0.024 0.000 0.000 0.976
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.2351 0.55763 0.000 0.016 0.088 0.000 0.896
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 5 0.4542 0.05326 0.000 0.008 0.456 0.000 0.536
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.3479 0.79565 0.056 0.000 0.076 0.852 0.016
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0566 0.84019 0.004 0.984 0.000 0.000 0.012
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.0798 0.59055 0.000 0.016 0.008 0.000 0.976
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.5609 0.21911 0.004 0.576 0.076 0.000 0.344
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.3530 0.55305 0.000 0.204 0.012 0.000 0.784
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0671 0.84082 0.000 0.980 0.004 0.000 0.016
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.3427 0.55941 0.000 0.192 0.012 0.000 0.796
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0566 0.84019 0.004 0.984 0.000 0.000 0.012
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.6303 0.69193 0.652 0.076 0.156 0.116 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.2966 0.56604 0.000 0.184 0.000 0.000 0.816
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.1671 0.59224 0.000 0.076 0.000 0.000 0.924
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.1124 0.83365 0.004 0.960 0.036 0.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.4232 0.48359 0.000 0.676 0.012 0.000 0.312
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4920 0.72912 0.644 0.000 0.048 0.308 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.3652 0.55623 0.004 0.200 0.012 0.000 0.784
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0566 0.84019 0.004 0.984 0.000 0.000 0.012
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.3479 0.79565 0.056 0.000 0.076 0.852 0.016
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.2612 0.78594 0.008 0.868 0.124 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.4449 0.81020 0.752 0.000 0.080 0.168 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3880 0.70461 0.020 0.772 0.204 0.004 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.3596 0.54826 0.000 0.212 0.012 0.000 0.776
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.7269 -0.02223 0.104 0.512 0.280 0.000 0.104
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.3756 0.29409 0.248 0.000 0.744 0.008 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.8009 0.44011 0.148 0.344 0.372 0.000 0.136
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.2873 0.75046 0.000 0.860 0.020 0.120 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.5225 0.37345 0.020 0.016 0.424 0.540 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.6778 0.45550 0.148 0.076 0.600 0.000 0.176
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.3999 0.50681 0.000 0.656 0.344 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.6874 0.03909 0.168 0.020 0.368 0.000 0.444
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.3462 0.55803 0.000 0.196 0.012 0.000 0.792
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.5573 0.31579 0.076 0.008 0.304 0.000 0.612
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0671 0.83988 0.000 0.980 0.016 0.000 0.004
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.5810 0.61764 0.608 0.000 0.264 0.124 0.004
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4583 0.70074 0.756 0.004 0.144 0.096 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.1608 0.59269 0.000 0.072 0.000 0.000 0.928
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.6874 0.03909 0.168 0.020 0.368 0.000 0.444
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0671 0.83988 0.000 0.980 0.016 0.000 0.004
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3152 0.80317 0.048 0.000 0.064 0.872 0.016
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.82112 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.2654 0.80658 0.056 0.000 0.040 0.896 0.008
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.3171 0.48479 0.816 0.008 0.176 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0798 0.58968 0.000 0.016 0.008 0.000 0.976
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0579 0.84068 0.000 0.984 0.008 0.000 0.008
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4306 0.53071 0.012 0.000 0.328 0.660 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.6142 0.26948 0.104 0.016 0.316 0.000 0.564
#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.4958 -0.00695 0.004 0.008 0.476 0.008 0.504
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.2929 0.79903 0.068 0.000 0.044 0.880 0.008
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0566 0.84092 0.000 0.984 0.012 0.000 0.004
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.7886 -0.37340 0.128 0.388 0.348 0.000 0.136
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0798 0.58968 0.000 0.016 0.008 0.000 0.976
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0566 0.84019 0.004 0.984 0.000 0.000 0.012
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.1285 0.83605 0.004 0.956 0.036 0.000 0.004
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.82112 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4927 0.40284 0.024 0.100 0.752 0.000 0.124
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3452 0.86109 0.756 0.000 0.000 0.244 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.4593 0.81750 0.736 0.000 0.080 0.184 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.4449 0.81020 0.752 0.000 0.080 0.168 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.6399 0.31840 0.100 0.048 0.252 0.000 0.600
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4000 0.66645 0.004 0.800 0.132 0.000 0.064
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0290 0.82191 0.008 0.000 0.000 0.992 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4107 0.70571 0.020 0.772 0.192 0.016 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.3728 0.85653 0.748 0.000 0.008 0.244 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.4621 0.39178 0.004 0.576 0.412 0.000 0.008
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.4630 0.39273 0.004 0.572 0.416 0.000 0.008
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.82112 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.6211 0.50096 0.220 0.068 0.636 0.000 0.076
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.6105 0.24834 0.104 0.012 0.332 0.000 0.552
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5775 -0.27431 0.068 0.000 0.512 0.412 0.008
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.82112 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.2002 0.79391 0.020 0.020 0.028 0.932 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1704 0.80317 0.004 0.928 0.000 0.000 0.068
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.3937 0.34934 0.000 0.008 0.736 0.004 0.252
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.3596 0.54826 0.000 0.212 0.012 0.000 0.776
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3166 0.77638 0.020 0.856 0.112 0.012 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2054 0.81565 0.008 0.916 0.072 0.000 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0671 0.83938 0.004 0.980 0.000 0.000 0.016
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0162 0.82160 0.004 0.000 0.000 0.996 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.8154 0.43874 0.148 0.324 0.364 0.000 0.164
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3497 0.76534 0.108 0.000 0.044 0.840 0.008
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.3621 0.55180 0.000 0.192 0.020 0.000 0.788
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.6839 0.05376 0.172 0.016 0.416 0.000 0.396
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3189 0.80035 0.056 0.000 0.064 0.868 0.012
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.3607 0.85889 0.752 0.000 0.004 0.244 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0798 0.58968 0.000 0.016 0.008 0.000 0.976
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0794 0.81781 0.028 0.000 0.000 0.972 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.6353 0.22028 0.120 0.016 0.332 0.000 0.532
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.7652 0.49135 0.220 0.208 0.480 0.000 0.092
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0566 0.84019 0.004 0.984 0.000 0.000 0.012
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4885 0.63424 0.084 0.748 0.148 0.000 0.020
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0833 0.83998 0.004 0.976 0.004 0.000 0.016
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0579 0.84068 0.000 0.984 0.008 0.000 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1251 0.57897 0.000 0.008 0.036 0.000 0.956
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.6257 0.28047 0.116 0.020 0.292 0.000 0.572
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.6732 0.12871 0.172 0.012 0.448 0.000 0.368
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4302 0.50515 0.004 0.648 0.344 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1908 0.83671 0.900 0.000 0.000 0.096 0.000 0.004
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.5296 0.78263 0.084 0.000 0.040 0.728 0.056 0.092
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.1957 0.83723 0.888 0.000 0.000 0.112 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.1493 0.85414 0.000 0.056 0.004 0.000 0.936 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.5296 0.38777 0.004 0.404 0.000 0.076 0.004 0.512
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.1625 0.84981 0.000 0.000 0.928 0.000 0.060 0.012
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2260 0.72527 0.140 0.000 0.000 0.860 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.1844 0.85033 0.000 0.024 0.048 0.000 0.924 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.2573 0.82201 0.864 0.000 0.000 0.112 0.000 0.024
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.6640 0.46722 0.324 0.000 0.036 0.504 0.048 0.088
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4618 0.58403 0.640 0.016 0.024 0.000 0.004 0.316
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.4013 0.45645 0.040 0.008 0.000 0.212 0.000 0.740
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3195 0.82515 0.008 0.008 0.852 0.000 0.064 0.068
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4570 0.72348 0.180 0.000 0.008 0.736 0.028 0.048
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.2053 0.83697 0.004 0.000 0.888 0.000 0.108 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1788 0.88232 0.004 0.928 0.000 0.000 0.040 0.028
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3199 0.79969 0.000 0.000 0.052 0.852 0.028 0.068
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2288 0.86695 0.004 0.896 0.000 0.000 0.072 0.028
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.6035 0.38482 0.000 0.092 0.056 0.000 0.320 0.532
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1910 0.82681 0.000 0.000 0.108 0.000 0.892 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1327 0.85283 0.000 0.000 0.936 0.000 0.064 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.1492 0.88675 0.000 0.940 0.000 0.000 0.036 0.024
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#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.1957 0.83723 0.888 0.000 0.000 0.112 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.3930 0.69521 0.728 0.000 0.000 0.032 0.004 0.236
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.3602 0.67372 0.744 0.000 0.004 0.008 0.004 0.240
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.3278 0.81591 0.004 0.020 0.840 0.000 0.108 0.028
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3563 0.72530 0.024 0.820 0.108 0.000 0.000 0.048
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.80368 0.000 0.000 0.000 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1857 0.88278 0.004 0.924 0.000 0.000 0.044 0.028
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3178 0.73199 0.016 0.816 0.000 0.004 0.004 0.160
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2100 0.83506 0.884 0.000 0.000 0.112 0.000 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.4627 0.34105 0.000 0.436 0.020 0.000 0.012 0.532
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.4703 0.34304 0.000 0.432 0.020 0.000 0.016 0.532
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0622 0.80430 0.000 0.000 0.012 0.980 0.000 0.008
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5930 0.45097 0.084 0.048 0.560 0.000 0.004 0.304
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.1610 0.84991 0.000 0.000 0.916 0.000 0.084 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.4712 0.39844 0.060 0.000 0.020 0.172 0.016 0.732
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.1924 0.88162 0.004 0.920 0.000 0.000 0.048 0.028
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.80368 0.000 0.000 0.000 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.1370 0.77143 0.004 0.012 0.000 0.948 0.000 0.036
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2173 0.87005 0.004 0.904 0.000 0.000 0.064 0.028
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.4468 -0.00613 0.004 0.000 0.484 0.000 0.020 0.492
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.1411 0.85321 0.000 0.060 0.000 0.000 0.936 0.004
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.2454 0.80563 0.016 0.876 0.000 0.004 0.000 0.104
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1823 0.85861 0.016 0.932 0.004 0.000 0.012 0.036
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1713 0.88387 0.000 0.928 0.000 0.000 0.044 0.028
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1788 0.88414 0.004 0.928 0.000 0.000 0.040 0.028
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0260 0.80000 0.000 0.000 0.000 0.992 0.000 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.3549 0.73531 0.020 0.140 0.808 0.000 0.000 0.032
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.4472 0.73711 0.168 0.000 0.008 0.748 0.028 0.048
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.1411 0.85321 0.000 0.060 0.000 0.000 0.936 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.3026 0.82919 0.004 0.008 0.860 0.000 0.064 0.064
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.5375 0.77508 0.100 0.000 0.040 0.720 0.052 0.088
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1957 0.83723 0.888 0.000 0.000 0.112 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.2595 0.80604 0.004 0.000 0.160 0.000 0.836 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0632 0.80371 0.024 0.000 0.000 0.976 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.1501 0.85237 0.000 0.000 0.924 0.000 0.076 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6293 0.45556 0.084 0.092 0.556 0.000 0.004 0.264
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1644 0.88496 0.000 0.932 0.000 0.000 0.040 0.028
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3634 0.75229 0.020 0.828 0.064 0.000 0.008 0.080
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1257 0.88800 0.000 0.952 0.000 0.000 0.028 0.020
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1007 0.88669 0.000 0.956 0.000 0.000 0.044 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3528 0.65520 0.004 0.000 0.296 0.000 0.700 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.2420 0.82401 0.004 0.000 0.864 0.000 0.128 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3056 0.81843 0.008 0.004 0.856 0.000 0.048 0.084
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4056 0.03027 0.004 0.576 0.004 0.000 0.000 0.416
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.986 0.994 0.4819 0.518 0.518
#> 3 3 0.771 0.871 0.925 0.3772 0.780 0.590
#> 4 4 0.745 0.649 0.786 0.1081 0.919 0.774
#> 5 5 0.829 0.782 0.852 0.0768 0.828 0.487
#> 6 6 0.846 0.769 0.875 0.0461 0.934 0.697
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.992 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.992 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.992 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.996 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.992 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.996 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.992 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.996 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.992 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.992 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.992 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.992 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.996 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.992 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.996 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.996 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.992 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.996 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.996 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.996 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.996 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.996 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.996 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.992 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.996 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.996 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.996 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.996 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.6801 0.785 0.820 0.180
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.996 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.996 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.992 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.996 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.996 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.9491 0.410 0.368 0.632
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.992 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.996 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.996 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.992 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.996 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.996 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.996 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.996 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.996 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.992 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.996 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.992 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.996 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.992 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.996 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.996 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.7883 0.697 0.764 0.236
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.992 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.992 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.992 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.996 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.992 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.996 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.996 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.992 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.992 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.992 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.996 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.992 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.992 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.996 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.996 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.992 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.992 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.996 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.992 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.996 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.992 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.992 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.996 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.996 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.992 1.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.996 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.992 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.996 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.996 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.992 1.000 0.000
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#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.992 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.992 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.996 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.996 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.996 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0000 0.992 1.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.996 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.996 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.996 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.992 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.996 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.992 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.996 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.996 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.992 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.992 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.996 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.992 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.996 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.996 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.996 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.996 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.996 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.996 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.996 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.996 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.996 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9752 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9752 1.000 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9752 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1031 0.9032 0.000 0.976 0.024
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.5058 0.5946 0.244 0.000 0.756
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.4399 0.7856 0.000 0.812 0.188
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9752 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1031 0.9032 0.000 0.976 0.024
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9752 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9752 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0424 0.9680 0.992 0.008 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.4399 0.7952 0.812 0.000 0.188
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9102 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9752 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9102 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 3 0.4702 0.8370 0.000 0.212 0.788
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9752 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 3 0.4842 0.7941 0.000 0.224 0.776
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4702 0.7813 0.000 0.788 0.212
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0592 0.9074 0.000 0.988 0.012
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.4399 0.7856 0.000 0.812 0.188
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.4399 0.8433 0.000 0.188 0.812
#> C2F905E0-1D20-4582-8656-A2022521ED06 3 0.4399 0.8433 0.000 0.188 0.812
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9752 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9102 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0747 0.9044 0.000 0.984 0.016
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 3 0.4399 0.8433 0.000 0.188 0.812
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0747 0.9044 0.000 0.984 0.016
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.1031 0.8355 0.000 0.024 0.976
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1031 0.9032 0.000 0.976 0.024
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.4178 0.7984 0.000 0.828 0.172
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9752 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.0000 0.8392 0.000 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.0000 0.8392 0.000 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.8392 0.000 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9752 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1031 0.9032 0.000 0.976 0.024
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9102 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9752 1.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.6280 0.2830 0.000 0.540 0.460
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 3 0.4399 0.8433 0.000 0.188 0.812
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9102 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 3 0.4750 0.8351 0.000 0.216 0.784
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 3 0.4399 0.8433 0.000 0.188 0.812
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9752 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.1643 0.8434 0.000 0.044 0.956
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.4399 0.7952 0.812 0.000 0.188
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.8392 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9752 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.4399 0.7856 0.000 0.812 0.188
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.4452 0.7856 0.000 0.808 0.192
#> 8D7800F8-0072-43E9-AC51-392908996F7D 3 0.5115 0.7446 0.188 0.016 0.796
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9752 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.4399 0.7952 0.812 0.000 0.188
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9752 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 3 0.4399 0.8433 0.000 0.188 0.812
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9752 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.1860 0.8439 0.000 0.052 0.948
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.0424 0.8384 0.000 0.008 0.992
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9752 1.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9752 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9752 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0237 0.9096 0.000 0.996 0.004
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9752 1.000 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9752 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.4346 0.7888 0.000 0.816 0.184
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.1031 0.9032 0.000 0.976 0.024
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9752 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9752 1.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.0000 0.8392 0.000 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9752 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 3 0.4399 0.8433 0.000 0.188 0.812
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9752 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9752 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.2448 0.8139 0.000 0.076 0.924
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.1753 0.8443 0.000 0.048 0.952
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.9752 1.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.6079 0.6226 0.000 0.388 0.612
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9752 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.9102 0.000 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 3 0.4399 0.8433 0.000 0.188 0.812
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.9752 1.000 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9752 1.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 3 0.4399 0.8433 0.000 0.188 0.812
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9752 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9752 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9752 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.2356 0.8616 0.000 0.928 0.072
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9752 1.000 0.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1031 0.9032 0.000 0.976 0.024
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.4399 0.7952 0.812 0.000 0.188
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9102 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.9752 1.000 0.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 3 0.0592 0.8429 0.000 0.012 0.988
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 3 0.4399 0.8433 0.000 0.188 0.812
#> 54835A82-ED8A-440C-B092-743CECBD1528 3 0.4399 0.8433 0.000 0.188 0.812
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9752 1.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.9102 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9102 0.000 1.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 3 0.4399 0.8433 0.000 0.188 0.812
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9752 1.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 3 0.4399 0.8433 0.000 0.188 0.812
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9102 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.4399 0.7856 0.000 0.812 0.188
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.9752 1.000 0.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.9752 1.000 0.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 3 0.0000 0.8392 0.000 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.4452 0.7856 0.000 0.808 0.192
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.9752 1.000 0.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9752 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.1031 0.9032 0.000 0.976 0.024
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.9752 1.000 0.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9752 1.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.4399 0.7856 0.000 0.812 0.188
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.1031 0.9032 0.000 0.976 0.024
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.9752 1.000 0.000 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 3 0.5384 0.7441 0.188 0.024 0.788
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0000 0.9752 1.000 0.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.9102 0.000 1.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.9102 0.000 1.000 0.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0000 0.9752 1.000 0.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.4399 0.7856 0.000 0.812 0.188
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.9102 0.000 1.000 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 3 0.4399 0.8433 0.000 0.188 0.812
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9102 0.000 1.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 3 0.0000 0.8392 0.000 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0000 0.9752 1.000 0.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9752 1.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 3 0.1031 0.8355 0.000 0.024 0.976
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.6215 0.4627 0.000 0.572 0.428
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.1860 0.8814 0.000 0.948 0.052
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0892 0.9024 0.000 0.980 0.020
#> F1565477-7479-4777-BD07-C6480B421166 2 0.5165 0.7685 0.072 0.832 0.096
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.9102 0.000 1.000 0.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.1031 0.9032 0.000 0.976 0.024
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0000 0.9102 0.000 1.000 0.000
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 3 0.0000 0.8392 0.000 0.000 1.000
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 2 0.8113 0.6273 0.144 0.644 0.212
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0000 0.9752 1.000 0.000 0.000
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.0000 0.9752 1.000 0.000 0.000
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.9752 1.000 0.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.9102 0.000 1.000 0.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0747 0.9044 0.000 0.984 0.016
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.4399 0.7856 0.000 0.812 0.188
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.9752 1.000 0.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.9752 1.000 0.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 1 0.4399 0.7952 0.812 0.000 0.188
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#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9102 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.8392 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.7026 0.35588 0.180 0.248 0.000 0.572
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3311 0.45754 0.000 0.000 0.828 0.172
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5161 0.03647 0.592 0.000 0.400 0.008
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.4925 0.30089 0.428 0.000 0.000 0.572
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0336 0.61685 0.000 0.000 0.992 0.008
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0336 0.62263 0.000 0.000 0.992 0.008
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0469 0.82024 0.000 0.988 0.000 0.012
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1792 0.78731 0.000 0.932 0.000 0.068
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.4509 -0.07407 0.000 0.004 0.288 0.708
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0336 0.61685 0.000 0.000 0.992 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0469 0.62150 0.000 0.000 0.988 0.012
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0188 0.61863 0.000 0.000 0.996 0.004
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.5653 0.58692 0.020 0.656 0.308 0.016
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0336 0.61685 0.000 0.000 0.992 0.008
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2760 0.74524 0.000 0.872 0.000 0.128
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.4972 -0.17351 0.000 0.456 0.000 0.544
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3444 0.64388 0.000 0.000 0.816 0.184
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0188 0.80988 0.996 0.000 0.000 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.1635 0.58234 0.000 0.044 0.948 0.008
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0469 0.82024 0.000 0.988 0.000 0.012
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.0000 0.62023 0.000 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3479 0.74292 0.000 0.840 0.148 0.012
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1824 0.79808 0.000 0.936 0.060 0.004
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.4830 -0.16845 0.608 0.000 0.000 0.392
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4817 0.47324 0.000 0.612 0.000 0.388
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4250 0.44195 0.000 0.000 0.724 0.276
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 4 0.3837 -0.07744 0.000 0.000 0.224 0.776
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0336 0.82259 0.000 0.992 0.000 0.008
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.4888 0.30844 0.412 0.000 0.000 0.588
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5028 0.51065 0.000 0.596 0.400 0.004
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4605 0.53822 0.000 0.664 0.000 0.336
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.3837 0.82836 0.776 0.000 0.000 0.224
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.1118 0.62581 0.000 0.000 0.964 0.036
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.4804 0.47747 0.000 0.616 0.000 0.384
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.5193 0.48839 0.000 0.580 0.412 0.008
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.4761 0.58504 0.000 0.664 0.332 0.004
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0707 0.81711 0.980 0.000 0.000 0.020
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.5740 0.46631 0.012 0.560 0.416 0.012
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0469 0.62122 0.000 0.000 0.988 0.012
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0672 0.79803 0.984 0.000 0.008 0.008
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 3 0.5279 0.65196 0.000 0.012 0.588 0.400
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.5039 0.32478 0.404 0.004 0.000 0.592
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.0188 0.62154 0.000 0.000 0.996 0.004
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 3 0.4522 0.65879 0.000 0.000 0.680 0.320
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 3 0.4356 0.65628 0.000 0.000 0.708 0.292
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4830 0.14770 0.000 0.000 0.608 0.392
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0376 0.80643 0.992 0.000 0.004 0.004
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 4 0.4855 -0.45357 0.000 0.000 0.400 0.600
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0188 0.80988 0.996 0.000 0.000 0.004
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0524 0.80246 0.988 0.000 0.004 0.008
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0188 0.80988 0.996 0.000 0.000 0.004
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.4790 0.16273 0.000 0.000 0.620 0.380
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.4955 0.30095 0.556 0.000 0.000 0.444
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.2737 0.77159 0.000 0.888 0.104 0.008
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0188 0.80988 0.996 0.000 0.000 0.004
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 3 0.0592 0.62428 0.000 0.000 0.984 0.016
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 3 0.0336 0.61685 0.000 0.000 0.992 0.008
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0376 0.80643 0.992 0.000 0.004 0.004
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.5268 0.12558 0.012 0.000 0.592 0.396
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 3 0.1022 0.62673 0.000 0.000 0.968 0.032
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0524 0.80246 0.988 0.000 0.004 0.008
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.3681 0.72060 0.000 0.816 0.176 0.008
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 4 0.1109 0.32280 0.000 0.028 0.004 0.968
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 3 0.5161 0.65551 0.000 0.008 0.592 0.400
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 3 0.4843 0.66192 0.000 0.000 0.604 0.396
#> F1565477-7479-4777-BD07-C6480B421166 4 0.5161 -0.39645 0.000 0.008 0.400 0.592
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 3 0.0336 0.62021 0.000 0.000 0.992 0.008
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.4804 0.47747 0.000 0.616 0.000 0.384
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 4 0.0524 0.31749 0.004 0.000 0.008 0.988
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> C713D324-E0EB-4F37-8B80-0674A57344E1 3 0.0336 0.62021 0.000 0.000 0.992 0.008
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 3 0.4866 0.15291 0.000 0.000 0.596 0.404
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.1716 0.82595 0.936 0.000 0.000 0.064
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 4 0.5050 0.31874 0.408 0.004 0.000 0.588
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0188 0.80988 0.996 0.000 0.000 0.004
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> 1B05B466-761E-483E-9588-697EAF2E7386 3 0.5599 0.64920 0.000 0.040 0.644 0.316
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 3 0.0469 0.62357 0.000 0.000 0.988 0.012
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 4 0.5050 0.31874 0.408 0.004 0.000 0.588
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 3 0.4855 0.66216 0.000 0.000 0.600 0.400
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 3 0.4855 0.66216 0.000 0.000 0.600 0.400
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#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0336 0.61685 0.000 0.000 0.992 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.81271 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.4843 0.66192 0.000 0.000 0.604 0.396
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.3649 0.85071 0.796 0.000 0.000 0.204
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0188 0.61853 0.000 0.000 0.996 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5300 0.49139 0.000 0.580 0.408 0.012
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5150 0.51150 0.000 0.596 0.396 0.008
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0188 0.82365 0.000 0.996 0.000 0.004
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.82422 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.4843 0.66192 0.000 0.000 0.604 0.396
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0469 0.62122 0.000 0.000 0.988 0.012
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0469 0.61478 0.000 0.000 0.988 0.012
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4804 0.47747 0.000 0.616 0.000 0.384
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.4088 -0.0147 0.004 0.276 0.008 0.712 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0912 0.8992 0.000 0.000 0.972 0.016 0.012
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.4171 0.8077 0.396 0.000 0.000 0.604 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4171 0.8077 0.396 0.000 0.000 0.604 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4138 0.2358 0.616 0.000 0.384 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.3388 0.2521 0.200 0.000 0.008 0.792 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.1671 0.8291 0.000 0.924 0.000 0.000 0.076
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.6493 0.2971 0.000 0.000 0.188 0.384 0.428
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0703 0.8852 0.000 0.000 0.024 0.000 0.976
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.1043 0.8972 0.000 0.000 0.960 0.000 0.040
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0162 0.8797 0.000 0.996 0.000 0.000 0.004
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.6632 0.0957 0.228 0.344 0.428 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.2329 0.5839 0.124 0.000 0.000 0.876 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1082 0.8670 0.000 0.964 0.008 0.028 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4656 0.5266 0.000 0.508 0.012 0.480 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.4171 0.8077 0.396 0.000 0.000 0.604 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.4235 0.2458 0.000 0.000 0.424 0.000 0.576
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.3796 0.5132 0.000 0.700 0.300 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0963 0.8616 0.000 0.964 0.036 0.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.4436 0.3825 0.596 0.000 0.008 0.396 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.4686 0.6192 0.000 0.596 0.020 0.384 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.3910 0.7484 0.000 0.000 0.772 0.196 0.032
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.5568 0.4856 0.000 0.000 0.076 0.384 0.540
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0510 0.8747 0.016 0.984 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0290 0.4905 0.000 0.000 0.008 0.992 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.1043 0.8849 0.000 0.040 0.960 0.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3318 0.7726 0.000 0.800 0.008 0.192 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.3796 0.7430 0.300 0.000 0.000 0.700 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.1121 0.8956 0.000 0.000 0.956 0.000 0.044
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.4403 0.6303 0.000 0.608 0.008 0.384 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0162 0.8969 0.996 0.000 0.000 0.004 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.0290 0.9011 0.000 0.008 0.992 0.000 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.4015 0.4079 0.000 0.348 0.652 0.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.3143 0.5169 0.796 0.000 0.000 0.204 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.0290 0.9011 0.000 0.008 0.992 0.000 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0880 0.8678 0.968 0.000 0.032 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.4182 0.8016 0.400 0.000 0.000 0.600 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0162 0.8969 0.996 0.000 0.000 0.004 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.0290 0.4905 0.000 0.000 0.008 0.992 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.2852 0.7486 0.000 0.000 0.172 0.000 0.828
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.3966 0.4734 0.000 0.000 0.336 0.000 0.664
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0510 0.8993 0.000 0.000 0.984 0.016 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.3274 0.6657 0.220 0.000 0.000 0.780 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0880 0.8678 0.968 0.000 0.032 0.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 5 0.3621 0.7396 0.000 0.000 0.020 0.192 0.788
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0794 0.8721 0.972 0.000 0.028 0.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0162 0.8969 0.996 0.000 0.000 0.004 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0794 0.8721 0.972 0.000 0.028 0.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.0510 0.8993 0.000 0.000 0.984 0.016 0.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.0404 0.5039 0.012 0.000 0.000 0.988 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 2 0.3130 0.7958 0.096 0.856 0.048 0.000 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0162 0.8936 0.996 0.000 0.004 0.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 3 0.1341 0.8886 0.000 0.000 0.944 0.000 0.056
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0880 0.8678 0.968 0.000 0.032 0.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.4392 0.5843 0.008 0.000 0.612 0.380 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 3 0.1341 0.8886 0.000 0.000 0.944 0.000 0.056
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 5 0.0510 0.8901 0.000 0.000 0.016 0.000 0.984
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0794 0.8721 0.972 0.000 0.028 0.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.3013 0.7507 0.008 0.832 0.160 0.000 0.000
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 5 0.4657 0.5635 0.000 0.008 0.008 0.380 0.604
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> F1565477-7479-4777-BD07-C6480B421166 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 3 0.1043 0.8972 0.000 0.000 0.960 0.000 0.040
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#> 424A05C2-C0C2-439A-A483-E959810E155B 5 0.6405 0.3293 0.000 0.000 0.172 0.384 0.444
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.0609 0.8969 0.000 0.020 0.980 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.2074 0.8220 0.000 0.000 0.104 0.000 0.896
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.4067 0.6951 0.000 0.692 0.008 0.300 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.5632 0.5120 0.080 0.000 0.528 0.392 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.8963 1.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3336 0.6618 0.000 0.772 0.228 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4403 0.6303 0.000 0.608 0.008 0.384 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.4686 0.6192 0.000 0.596 0.020 0.384 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.4686 0.6192 0.000 0.596 0.020 0.384 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.1043 0.8972 0.000 0.000 0.960 0.000 0.040
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.2707 0.3550 0.132 0.000 0.008 0.860 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0510 0.8737 0.000 0.984 0.000 0.000 0.016
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3835 0.5706 0.000 0.732 0.008 0.000 0.260
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.4138 0.5855 0.000 0.000 0.616 0.384 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0898 0.8716 0.000 0.972 0.020 0.008 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1608 0.8397 0.000 0.928 0.072 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.0609 0.8969 0.000 0.020 0.980 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0000 0.8988 0.000 0.000 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4138 0.8250 0.384 0.000 0.000 0.616 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0290 0.8966 0.992 0.000 0.000 0.008 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1732 0.8441 0.000 0.000 0.080 0.000 0.920
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.4150 0.8194 0.388 0.000 0.000 0.612 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0963 0.8988 0.000 0.000 0.964 0.000 0.036
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0290 0.9011 0.000 0.008 0.992 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.2648 0.7663 0.000 0.152 0.848 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.8815 0.000 1.000 0.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.0510 0.8911 0.000 0.000 0.016 0.000 0.984
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.1270 0.8912 0.000 0.000 0.948 0.000 0.052
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0290 0.9034 0.000 0.000 0.992 0.000 0.008
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4403 0.6303 0.000 0.608 0.008 0.384 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.3109 0.6112 0.004 0.000 0.000 0.224 0.000 0.772
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1714 0.8611 0.092 0.000 0.000 0.908 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.1387 0.9295 0.068 0.000 0.000 0.932 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.1327 0.9160 0.936 0.000 0.000 0.000 0.000 0.064
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.5283 0.5111 0.148 0.000 0.000 0.264 0.000 0.588
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2632 0.7609 0.004 0.000 0.832 0.000 0.000 0.164
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0547 0.8560 0.000 0.980 0.000 0.000 0.000 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0146 0.8608 0.000 0.996 0.000 0.000 0.000 0.004
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.4621 0.4984 0.000 0.000 0.064 0.000 0.304 0.632
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0260 0.8272 0.000 0.000 0.008 0.000 0.992 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.3446 0.7094 0.000 0.000 0.308 0.000 0.692 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.6762 -0.0354 0.348 0.144 0.080 0.000 0.000 0.428
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0146 0.8272 0.000 0.000 0.004 0.000 0.996 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0146 0.9359 0.000 0.000 0.000 0.996 0.000 0.004
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0458 0.8590 0.000 0.984 0.000 0.000 0.000 0.016
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.3151 0.6030 0.000 0.748 0.000 0.000 0.000 0.252
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.4278 0.6346 0.000 0.076 0.000 0.084 0.060 0.780
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1267 0.9359 0.060 0.000 0.000 0.940 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.3782 -0.0281 0.000 0.000 0.588 0.000 0.412 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1285 0.9264 0.944 0.000 0.000 0.004 0.000 0.052
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3383 0.6829 0.004 0.000 0.728 0.000 0.000 0.268
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.1049 0.8400 0.000 0.960 0.032 0.000 0.000 0.008
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3769 0.6123 0.004 0.640 0.000 0.000 0.000 0.356
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.3937 0.1927 0.424 0.000 0.000 0.004 0.000 0.572
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.1387 0.5871 0.000 0.068 0.000 0.000 0.000 0.932
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.2793 0.6217 0.000 0.000 0.800 0.000 0.000 0.200
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.5491 0.3462 0.000 0.000 0.144 0.000 0.332 0.524
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.3482 0.6459 0.000 0.684 0.000 0.000 0.000 0.316
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.3862 0.2783 0.000 0.000 0.000 0.476 0.000 0.524
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0146 0.8613 0.000 0.996 0.000 0.000 0.000 0.004
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.3547 0.6559 0.004 0.000 0.696 0.000 0.000 0.300
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 6 0.2912 0.3759 0.000 0.216 0.000 0.000 0.000 0.784
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.2048 0.8114 0.000 0.000 0.120 0.000 0.880 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 6 0.3531 0.5004 0.000 0.328 0.000 0.000 0.000 0.672
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0363 0.8601 0.000 0.988 0.000 0.000 0.000 0.012
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.3547 0.6559 0.004 0.000 0.696 0.000 0.000 0.300
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 3 0.6224 0.1054 0.004 0.308 0.380 0.000 0.000 0.308
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.2454 0.7604 0.840 0.000 0.000 0.160 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.3383 0.6856 0.004 0.000 0.728 0.000 0.000 0.268
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0806 0.8542 0.000 0.972 0.000 0.000 0.020 0.008
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.1141 0.9242 0.948 0.000 0.000 0.000 0.000 0.052
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 4 0.1387 0.9295 0.068 0.000 0.000 0.932 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
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#> 41445787-7763-458C-9FC9-744922C0FD8F 6 0.3774 0.4212 0.000 0.000 0.000 0.408 0.000 0.592
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.3547 0.6559 0.004 0.000 0.696 0.000 0.000 0.300
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 5 0.2969 0.6325 0.000 0.224 0.000 0.000 0.776 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0806 0.8542 0.000 0.972 0.000 0.000 0.020 0.008
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.1327 0.8270 0.000 0.000 0.936 0.000 0.000 0.064
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 6 0.3782 0.4149 0.000 0.000 0.000 0.412 0.000 0.588
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.3050 0.7677 0.000 0.000 0.236 0.000 0.764 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.3647 0.6435 0.000 0.000 0.360 0.000 0.640 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 6 0.5411 0.3619 0.000 0.000 0.132 0.000 0.336 0.532
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.3563 0.6784 0.000 0.000 0.336 0.000 0.664 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4165 0.4790 0.000 0.672 0.292 0.000 0.036 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0458 0.8600 0.000 0.984 0.000 0.000 0.000 0.016
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.1285 0.9264 0.944 0.000 0.000 0.004 0.000 0.052
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.0632 0.8270 0.000 0.000 0.024 0.000 0.976 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.1765 0.8170 0.000 0.000 0.096 0.000 0.904 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3076 0.7147 0.000 0.760 0.000 0.000 0.000 0.240
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.3409 0.4935 0.000 0.300 0.000 0.000 0.700 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.2378 0.7715 0.848 0.000 0.000 0.152 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 3 0.4581 -0.2291 0.000 0.036 0.516 0.000 0.448 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 6 0.1910 0.5386 0.000 0.108 0.000 0.000 0.000 0.892
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.1285 0.9264 0.944 0.000 0.000 0.004 0.000 0.052
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 6 0.1426 0.5952 0.000 0.028 0.016 0.008 0.000 0.948
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.3547 0.6559 0.004 0.000 0.696 0.000 0.000 0.300
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 6 0.4664 0.3060 0.364 0.000 0.052 0.000 0.000 0.584
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.3665 0.6556 0.004 0.004 0.696 0.000 0.000 0.296
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.4045 0.2781 0.000 0.564 0.000 0.428 0.000 0.008
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.3765 0.4273 0.000 0.000 0.000 0.404 0.000 0.596
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.1501 0.8223 0.000 0.000 0.924 0.000 0.000 0.076
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 6 0.3592 0.4856 0.000 0.344 0.000 0.000 0.000 0.656
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0146 0.8567 0.004 0.000 0.996 0.000 0.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.1387 0.7965 0.000 0.000 0.932 0.000 0.068 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1327 0.8267 0.000 0.936 0.000 0.000 0.000 0.064
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.1204 0.9237 0.944 0.000 0.000 0.000 0.000 0.056
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.1141 0.9242 0.948 0.000 0.000 0.000 0.000 0.052
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.3244 0.7465 0.000 0.000 0.268 0.000 0.732 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0405 0.8538 0.004 0.000 0.988 0.000 0.000 0.008
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0806 0.8542 0.000 0.972 0.000 0.000 0.020 0.008
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.1387 0.9133 0.932 0.000 0.000 0.000 0.000 0.068
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.3221 0.7507 0.000 0.000 0.264 0.000 0.736 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.3371 0.4540 0.000 0.000 0.000 0.708 0.000 0.292
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.5646 0.3786 0.000 0.000 0.220 0.000 0.244 0.536
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.3426 0.6763 0.004 0.000 0.720 0.000 0.000 0.276
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3531 0.6880 0.000 0.000 0.328 0.000 0.672 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0146 0.8613 0.000 0.996 0.000 0.000 0.000 0.004
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 6 0.3851 0.1805 0.000 0.460 0.000 0.000 0.000 0.540
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.5094 0.3963 0.096 0.000 0.336 0.000 0.000 0.568
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1285 0.9264 0.944 0.000 0.000 0.004 0.000 0.052
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.1141 0.9242 0.948 0.000 0.000 0.000 0.000 0.052
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.0260 0.8532 0.000 0.008 0.992 0.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4798 0.5463 0.004 0.580 0.052 0.000 0.000 0.364
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.1563 0.6093 0.000 0.012 0.000 0.056 0.000 0.932
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.3756 0.4856 0.000 0.352 0.004 0.000 0.000 0.644
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.3830 0.4589 0.000 0.376 0.004 0.000 0.000 0.620
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3847 0.6060 0.008 0.000 0.644 0.000 0.000 0.348
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.5160 0.4536 0.108 0.000 0.000 0.320 0.000 0.572
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.3857 0.2180 0.000 0.000 0.468 0.000 0.000 0.532
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4756 0.4819 0.004 0.524 0.000 0.040 0.000 0.432
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3360 0.6856 0.004 0.732 0.000 0.000 0.000 0.264
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.1644 0.8200 0.004 0.000 0.920 0.000 0.000 0.076
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0000 0.8271 0.000 0.000 0.000 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0260 0.8553 0.000 0.000 0.992 0.000 0.000 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1204 0.9386 0.056 0.000 0.000 0.944 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0260 0.9481 0.992 0.000 0.000 0.008 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.3563 0.6784 0.000 0.000 0.336 0.000 0.664 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9396 0.000 0.000 0.000 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3847 0.6060 0.008 0.000 0.644 0.000 0.000 0.348
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.8613 0.000 1.000 0.000 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4596 0.5871 0.004 0.052 0.640 0.000 0.000 0.304
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0363 0.8606 0.000 0.988 0.000 0.000 0.000 0.012
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0260 0.8609 0.000 0.992 0.000 0.000 0.000 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3563 0.6784 0.000 0.000 0.336 0.000 0.664 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.0000 0.8581 0.000 0.000 1.000 0.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0603 0.8506 0.004 0.000 0.980 0.000 0.000 0.016
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.3620 0.4849 0.000 0.352 0.000 0.000 0.000 0.648
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.979 0.991 0.4748 0.525 0.525
#> 3 3 0.636 0.705 0.694 0.2730 0.903 0.819
#> 4 4 0.697 0.624 0.785 0.2082 0.787 0.541
#> 5 5 0.760 0.764 0.865 0.0798 0.844 0.506
#> 6 6 0.723 0.560 0.763 0.0409 0.917 0.657
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9869 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9869 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9869 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9940 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.9869 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9940 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9869 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9940 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9869 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9869 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.8327 0.6409 0.264 0.736
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9869 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9940 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9869 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9940 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9940 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9869 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9940 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9940 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9940 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.9940 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.9940 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9940 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9869 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9940 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9940 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9940 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.9940 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.1184 0.9785 0.016 0.984
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9940 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.9940 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9869 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9940 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9940 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.8955 0.5459 0.312 0.688
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9869 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9940 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9940 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9869 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.9940 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9940 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9940 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9940 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0376 0.9903 0.004 0.996
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9869 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.9940 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.9869 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0376 0.9903 0.004 0.996
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9869 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9940 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9940 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.9686 0.3572 0.604 0.396
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9869 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.9869 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9869 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9940 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9869 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9940 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.9940 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.4298 0.8964 0.912 0.088
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9869 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9869 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9940 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9869 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9869 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9940 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9940 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9869 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9869 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.9940 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9869 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9940 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9869 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9869 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.9940 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.9940 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.8608 0.6055 0.716 0.284
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.9940 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9869 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.9940 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9940 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.9869 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9869 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9940 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9869 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9869 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9869 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9940 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9869 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.9940 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.0000 0.9869 1.000 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9940 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.9869 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.9940 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.9940 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.9170 0.5123 0.668 0.332
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9869 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.9940 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9940 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.9940 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9869 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9940 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9940 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.9940 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.9869 1.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.6623 0.7903 0.828 0.172
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.8861 0.5626 0.304 0.696
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.9940 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.9869 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9869 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.9940 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.9869 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9869 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.9940 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.9940 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.9869 1.000 0.000
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#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.9940 0.000 1.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.9940 0.000 1.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0000 0.9869 1.000 0.000
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#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.9940 0.000 1.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.9940 0.000 1.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9940 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.2948 0.9415 0.052 0.948
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0000 0.9869 1.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9869 1.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.5629 0.8462 0.132 0.868
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.0000 0.9940 0.000 1.000
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.9940 0.000 1.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0000 0.9940 0.000 1.000
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#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.9940 0.000 1.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.0000 0.9940 0.000 1.000
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0000 0.9940 0.000 1.000
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.0000 0.9940 0.000 1.000
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#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.9940 0.000 1.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0000 0.9940 0.000 1.000
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.0000 0.9940 0.000 1.000
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.9869 1.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.9869 1.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 1 0.0000 0.9869 1.000 0.000
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0000 0.9869 1.000 0.000
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0000 0.9869 1.000 0.000
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.9940 0.000 1.000
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.0000 0.9940 0.000 1.000
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.0000 0.9940 0.000 1.000
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#> 6D114A21-A539-4C72-B1A6-EDC2B878375B 1 0.0000 0.9869 1.000 0.000
#> 31B347CB-0B28-4B99-8493-E3A62C6D7A5B 2 0.0000 0.9940 0.000 1.000
#> 48469D58-87D6-4A56-A0EF-C6BAC88B8D4E 1 0.0000 0.9869 1.000 0.000
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#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.0000 0.9940 0.000 1.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.9869 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9940 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.9940 0.000 1.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.9940 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9940 0.000 1.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.9869 1.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.9869 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.9869 1.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.9940 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.9940 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.9869 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9940 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.9869 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.9940 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.0000 0.9869 1.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0000 0.9940 0.000 1.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9940 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.9869 1.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9940 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.9940 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.9940 0.000 1.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.0000 0.9869 1.000 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9940 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9869 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9940 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9940 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.9940 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.9869 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9940 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9869 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9940 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9940 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.9940 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.9940 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9940 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9940 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9869 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9940 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9940 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 1 0.5842 0.8341 0.860 0.140
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9940 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9869 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9940 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9940 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9869 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.9940 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9869 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.4431 0.8961 0.092 0.908
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9940 0.000 1.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.9940 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.9170 0.5020 0.332 0.668
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9940 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9940 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.9869 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.0000 0.9869 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.9940 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.9940 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.9940 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9940 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.9940 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9940 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.9869 1.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9869 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.1843 0.9601 0.972 0.028
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9940 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.9940 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9940 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.9869 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9869 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9869 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.7950 0.6899 0.760 0.240
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9940 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9940 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9940 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.0000 0.9869 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9869 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.9940 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9940 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9869 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9940 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9940 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9869 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9940 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9940 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9940 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9869 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9869 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.9940 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9869 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9869 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9869 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9940 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9940 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9869 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9940 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.0000 0.9869 1.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9869 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9940 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9940 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9869 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.9940 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9940 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.9000 0.5417 0.684 0.316
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9940 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9869 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9869 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9940 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.9940 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9940 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0000 0.9869 1.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9940 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9940 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9940 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9869 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9940 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9869 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9940 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.9940 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9869 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9869 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9940 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9869 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9940 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.9940 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9940 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.9940 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9940 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9940 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9940 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9940 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9940 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9940 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.77491 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.6305 -0.76009 0.516 0.000 0.484
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.77491 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0592 0.81675 0.000 0.988 0.012
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6819 0.79024 0.476 0.012 0.512
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.6307 0.69567 0.000 0.512 0.488
#> 7D2EF3FC-2977-4410-947F-244B54755779 3 0.6308 0.81273 0.492 0.000 0.508
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.4346 0.79074 0.000 0.816 0.184
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.77491 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.77491 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6819 0.21669 0.512 0.012 0.476
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.6307 0.81384 0.488 0.000 0.512
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.6302 0.69558 0.000 0.520 0.480
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.5785 -0.18572 0.668 0.000 0.332
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0592 0.81675 0.000 0.988 0.012
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.81618 0.000 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 3 0.6308 0.81273 0.492 0.000 0.508
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0592 0.81675 0.000 0.988 0.012
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.6252 0.71419 0.000 0.556 0.444
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3412 0.80522 0.000 0.876 0.124
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.6307 0.69567 0.000 0.512 0.488
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0237 0.81544 0.000 0.996 0.004
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.81618 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.77491 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.6252 0.71525 0.000 0.556 0.444
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.6307 0.69567 0.000 0.512 0.488
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.81618 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.6307 0.69567 0.000 0.512 0.488
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.8338 0.65793 0.084 0.516 0.400
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0592 0.81675 0.000 0.988 0.012
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.6307 0.69567 0.000 0.512 0.488
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 3 0.6308 0.81273 0.492 0.000 0.508
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0237 0.81544 0.000 0.996 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0237 0.81544 0.000 0.996 0.004
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.8475 -0.27110 0.112 0.320 0.568
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 3 0.6308 0.81273 0.492 0.000 0.508
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0592 0.81675 0.000 0.988 0.012
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.2066 0.81286 0.000 0.940 0.060
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.77491 1.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.6305 0.69567 0.000 0.516 0.484
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.81618 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.2066 0.81222 0.000 0.940 0.060
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.81618 0.000 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0237 0.81544 0.000 0.996 0.004
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.77491 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.4750 0.78462 0.000 0.784 0.216
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.6235 0.27798 0.564 0.000 0.436
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6302 0.69371 0.000 0.520 0.480
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#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.77491 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0592 0.81675 0.000 0.988 0.012
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0592 0.81675 0.000 0.988 0.012
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0592 0.81675 0.000 0.988 0.012
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.81618 0.000 1.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0592 0.81675 0.000 0.988 0.012
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.81618 0.000 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 3 0.6307 0.81384 0.488 0.000 0.512
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0592 0.81675 0.000 0.988 0.012
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0592 0.81675 0.000 0.988 0.012
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 3 0.9695 0.31702 0.384 0.216 0.400
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0237 0.81652 0.000 0.996 0.004
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.77491 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0592 0.81675 0.000 0.988 0.012
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.81618 0.000 1.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.77491 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4887 0.77258 0.000 0.772 0.228
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.77491 1.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.8595 0.61328 0.100 0.496 0.404
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0592 0.81675 0.000 0.988 0.012
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.6267 0.70793 0.000 0.548 0.452
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.9280 -0.17694 0.352 0.168 0.480
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.81618 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.6126 0.72866 0.000 0.600 0.400
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 3 0.6307 0.81384 0.488 0.000 0.512
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.5859 0.50775 0.344 0.000 0.656
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.6302 0.69371 0.000 0.520 0.480
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0237 0.81544 0.000 0.996 0.004
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.6307 0.69567 0.000 0.512 0.488
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0592 0.81675 0.000 0.988 0.012
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.6307 0.69567 0.000 0.512 0.488
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0237 0.81544 0.000 0.996 0.004
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.77491 1.000 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.77491 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.5360 0.46258 0.768 0.012 0.220
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0592 0.81675 0.000 0.988 0.012
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.6307 0.69567 0.000 0.512 0.488
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0237 0.81544 0.000 0.996 0.004
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.5785 -0.18572 0.668 0.000 0.332
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 3 0.6307 0.81384 0.488 0.000 0.512
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 3 0.6308 0.81273 0.492 0.000 0.508
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.6488 0.46061 0.756 0.084 0.160
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.6307 0.69567 0.000 0.512 0.488
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.81618 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0237 0.81544 0.000 0.996 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 3 0.6307 0.81384 0.488 0.000 0.512
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.77491 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.6307 0.69567 0.000 0.512 0.488
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.6307 0.69567 0.000 0.512 0.488
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.5760 -0.16633 0.672 0.000 0.328
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0237 0.81544 0.000 0.996 0.004
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4842 0.78265 0.000 0.776 0.224
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.77491 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.6305 0.69783 0.000 0.516 0.484
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.81618 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0237 0.81544 0.000 0.996 0.004
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 3 0.6308 0.81273 0.492 0.000 0.508
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.77491 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6302 0.69371 0.000 0.520 0.480
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.77491 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.77491 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.77491 1.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0592 0.81675 0.000 0.988 0.012
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0237 0.81544 0.000 0.996 0.004
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 3 0.6308 0.81273 0.492 0.000 0.508
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.81618 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6678 0.79889 0.480 0.008 0.512
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.77491 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.5859 0.74261 0.000 0.656 0.344
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5882 0.74139 0.000 0.652 0.348
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 3 0.6307 0.81384 0.488 0.000 0.512
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.6302 0.69371 0.000 0.520 0.480
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.6307 0.69567 0.000 0.512 0.488
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4865 0.08627 0.032 0.136 0.832
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.81618 0.000 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 3 0.6307 0.81384 0.488 0.000 0.512
#> 52893AFF-C014-411F-B220-2A17D82C383D 3 0.6307 0.81384 0.488 0.000 0.512
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.81618 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.6307 0.69567 0.000 0.512 0.488
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0592 0.81675 0.000 0.988 0.012
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.6819 0.79024 0.476 0.012 0.512
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0237 0.81544 0.000 0.996 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.81618 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.81618 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 3 0.6307 0.81384 0.488 0.000 0.512
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0237 0.81684 0.000 0.996 0.004
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.5835 -0.22501 0.660 0.000 0.340
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.2165 0.81343 0.000 0.936 0.064
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.6307 0.69567 0.000 0.512 0.488
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.5835 -0.22492 0.660 0.000 0.340
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.77491 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.6026 0.73756 0.000 0.624 0.376
#> E80C7EE2-1220-4070-ACB1-276763318139 3 0.6308 0.81273 0.492 0.000 0.508
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.6235 0.71835 0.000 0.564 0.436
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6299 0.69633 0.000 0.524 0.476
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.81618 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.6302 0.69371 0.000 0.520 0.480
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.81618 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0237 0.81544 0.000 0.996 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.5926 0.74335 0.000 0.644 0.356
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3686 0.79520 0.000 0.860 0.140
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.6307 0.69567 0.000 0.512 0.488
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.2537 0.80747 0.000 0.920 0.080
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0817 0.8969 0.024 0.000 0.000 0.976
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.4585 0.5459 0.000 0.000 0.332 0.668
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.3311 0.2810 0.000 0.828 0.172 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4008 0.6977 0.756 0.000 0.244 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0469 0.9036 0.000 0.000 0.012 0.988
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.3172 0.5365 0.000 0.160 0.840 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3610 0.7369 0.200 0.000 0.000 0.800
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0592 0.5508 0.000 0.984 0.016 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4967 0.5637 0.000 0.548 0.452 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.5000 0.5957 0.000 0.496 0.504 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.3400 0.2533 0.000 0.820 0.180 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.4955 0.5666 0.000 0.556 0.444 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4643 0.5890 0.000 0.656 0.344 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.2149 0.4067 0.000 0.000 0.912 0.088
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4933 0.6238 0.000 0.432 0.568 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.1284 0.4462 0.000 0.012 0.964 0.024
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0188 0.9090 0.004 0.000 0.000 0.996
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.1867 0.4824 0.000 0.928 0.072 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4477 0.5951 0.000 0.312 0.688 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.4679 0.5881 0.000 0.648 0.352 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.1389 0.5162 0.000 0.952 0.048 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4643 0.5890 0.000 0.656 0.344 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.3610 0.1275 0.000 0.200 0.800 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.4761 0.5219 0.664 0.000 0.332 0.004
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0817 0.4470 0.000 0.024 0.976 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.4985 0.6192 0.000 0.468 0.532 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.4981 0.5587 0.000 0.536 0.464 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4746 -0.3382 0.000 0.368 0.632 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.0188 0.4626 0.000 0.004 0.996 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.8104 0.4440 0.540 0.056 0.144 0.260
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.1389 0.5140 0.000 0.952 0.048 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4697 0.4945 0.644 0.000 0.000 0.356
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#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.3975 0.0788 0.000 0.760 0.240 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.3942 0.6942 0.764 0.000 0.000 0.236
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.4877 0.5770 0.000 0.592 0.408 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0592 0.5508 0.000 0.984 0.016 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0592 0.5508 0.000 0.984 0.016 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.0707 0.8980 0.000 0.000 0.020 0.980
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0336 0.5570 0.000 0.992 0.008 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0592 0.5508 0.000 0.984 0.016 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 3 0.7236 -0.1337 0.000 0.144 0.460 0.396
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.1716 0.5699 0.000 0.936 0.064 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.4193 -0.0421 0.000 0.268 0.732 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.0779 0.4706 0.000 0.016 0.980 0.004
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.0000 0.4652 0.000 0.000 1.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.4356 0.3466 0.292 0.000 0.708 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.4933 0.5705 0.000 0.568 0.432 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.2281 0.3480 0.000 0.096 0.904 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.0469 0.9036 0.000 0.000 0.012 0.988
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.4356 0.6233 0.000 0.000 0.292 0.708
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.1022 0.4844 0.000 0.032 0.968 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0188 0.5598 0.000 0.996 0.004 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.4761 0.6123 0.000 0.372 0.628 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.4972 0.5621 0.000 0.544 0.456 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3569 0.7411 0.196 0.000 0.000 0.804
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.4164 0.6620 0.736 0.000 0.264 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3610 0.7363 0.200 0.000 0.000 0.800
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.3569 0.2105 0.000 0.196 0.804 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.3074 0.5078 0.000 0.152 0.848 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0592 0.5508 0.000 0.984 0.016 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4992 0.5533 0.000 0.524 0.476 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.4643 0.5890 0.000 0.656 0.344 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.4713 0.5099 0.000 0.000 0.360 0.640
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.3311 0.4131 0.000 0.172 0.828 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.3486 0.4177 0.000 0.188 0.812 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.4652 0.000 0.000 1.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.5771 0.0768 0.004 0.020 0.472 0.504
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.4643 0.5890 0.000 0.656 0.344 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.4643 0.5890 0.000 0.656 0.344 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.4977 0.6256 0.000 0.460 0.540 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.5624 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.4817 0.4688 0.000 0.000 0.388 0.612
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.4661 0.5886 0.000 0.652 0.348 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.4972 0.5621 0.000 0.544 0.456 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4866 0.5546 0.000 0.596 0.404 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3528 0.7463 0.192 0.000 0.000 0.808
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1557 0.4937 0.000 0.944 0.056 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4761 0.6123 0.000 0.372 0.628 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3688 0.7285 0.208 0.000 0.000 0.792
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9372 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.4985 0.6195 0.000 0.468 0.532 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.9108 0.000 0.000 0.000 1.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.4992 -0.5451 0.000 0.524 0.476 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0336 0.4593 0.000 0.008 0.992 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0592 0.4533 0.000 0.016 0.984 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4977 0.5602 0.000 0.540 0.460 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.4972 0.5618 0.000 0.544 0.456 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4977 -0.5368 0.000 0.540 0.460 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.1867 0.4824 0.000 0.928 0.072 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4761 0.6123 0.000 0.372 0.628 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.4977 -0.4683 0.000 0.460 0.540 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0703 0.92535 0.024 0.000 0.000 0.976 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.3143 0.71463 0.000 0.796 0.000 0.204 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.2891 0.78630 0.000 0.000 0.824 0.000 0.176
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0162 0.81107 0.000 0.000 0.004 0.000 0.996
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4800 0.67187 0.676 0.052 0.272 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0865 0.92214 0.000 0.024 0.004 0.972 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2351 0.80624 0.000 0.088 0.896 0.000 0.016
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3177 0.75353 0.208 0.000 0.000 0.792 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.4371 0.49430 0.000 0.012 0.344 0.000 0.644
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4656 -0.05996 0.000 0.508 0.012 0.000 0.480
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.5043 0.61432 0.000 0.208 0.100 0.000 0.692
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.6731 0.29692 0.000 0.304 0.416 0.000 0.280
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0162 0.81107 0.000 0.000 0.004 0.000 0.996
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0404 0.86347 0.000 0.988 0.000 0.000 0.012
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.2230 0.82423 0.000 0.884 0.000 0.000 0.116
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.2561 0.73645 0.000 0.000 0.144 0.000 0.856
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.4201 0.50741 0.000 0.328 0.008 0.000 0.664
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0404 0.85954 0.000 0.988 0.012 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0290 0.81014 0.000 0.008 0.000 0.000 0.992
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2654 0.82806 0.000 0.032 0.884 0.000 0.084
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0794 0.86216 0.000 0.972 0.000 0.000 0.028
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4004 0.66317 0.000 0.760 0.216 0.016 0.008
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0162 0.93589 0.004 0.000 0.000 0.996 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3837 0.55337 0.000 0.000 0.308 0.000 0.692
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1965 0.88858 0.904 0.000 0.096 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2304 0.79852 0.000 0.100 0.892 0.000 0.008
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.3752 0.57043 0.000 0.292 0.000 0.000 0.708
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.4192 0.37347 0.000 0.000 0.404 0.000 0.596
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.4525 0.46655 0.000 0.360 0.016 0.000 0.624
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1197 0.85792 0.000 0.952 0.000 0.000 0.048
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0451 0.86118 0.000 0.988 0.008 0.000 0.004
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.4415 -0.10487 0.444 0.004 0.552 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.3934 0.62721 0.000 0.740 0.244 0.000 0.016
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
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#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.6489 0.26171 0.000 0.492 0.240 0.000 0.268
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.3508 0.62823 0.000 0.748 0.252 0.000 0.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.0290 0.86123 0.000 0.992 0.008 0.000 0.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.0703 0.92329 0.000 0.024 0.000 0.976 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.4114 0.48087 0.000 0.624 0.000 0.000 0.376
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0290 0.86123 0.000 0.992 0.008 0.000 0.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.1965 0.83043 0.000 0.904 0.096 0.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.4300 0.05961 0.000 0.524 0.000 0.000 0.476
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 5 0.1851 0.76388 0.000 0.000 0.088 0.000 0.912
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.2732 0.80243 0.000 0.000 0.840 0.000 0.160
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 5 0.0794 0.80810 0.000 0.000 0.028 0.000 0.972
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.3143 0.75798 0.204 0.000 0.000 0.796 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.0290 0.93337 0.000 0.000 0.000 0.992 0.008
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.0162 0.81107 0.000 0.000 0.004 0.000 0.996
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.3796 0.61140 0.000 0.700 0.000 0.000 0.300
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.2389 0.87783 0.880 0.004 0.116 0.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.2536 0.79341 0.000 0.868 0.004 0.000 0.128
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.0609 0.92757 0.000 0.020 0.000 0.980 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.3928 0.58986 0.000 0.296 0.700 0.000 0.004
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 5 0.1197 0.79205 0.000 0.048 0.000 0.000 0.952
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.3395 0.66190 0.236 0.000 0.000 0.764 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0880 0.86312 0.000 0.968 0.000 0.000 0.032
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.2127 0.82577 0.000 0.892 0.000 0.000 0.108
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.0609 0.92757 0.000 0.020 0.000 0.980 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.0162 0.81104 0.000 0.004 0.000 0.000 0.996
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.0671 0.81123 0.000 0.004 0.016 0.000 0.980
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.3837 0.55085 0.000 0.000 0.308 0.000 0.692
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.3395 0.73534 0.000 0.000 0.764 0.000 0.236
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.3857 0.58693 0.688 0.000 0.000 0.312 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.1732 0.83965 0.000 0.920 0.000 0.000 0.080
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.0963 0.80646 0.000 0.000 0.036 0.000 0.964
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 5 0.2359 0.79205 0.000 0.060 0.036 0.000 0.904
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.0162 0.81104 0.000 0.004 0.000 0.000 0.996
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0703 0.86328 0.000 0.976 0.000 0.000 0.024
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0880 0.86275 0.000 0.968 0.000 0.000 0.032
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.1430 0.90037 0.000 0.052 0.004 0.944 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.0404 0.81097 0.000 0.000 0.012 0.000 0.988
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0324 0.86268 0.000 0.992 0.000 0.004 0.004
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.1121 0.79453 0.000 0.044 0.000 0.000 0.956
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.1484 0.80436 0.000 0.008 0.048 0.000 0.944
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0963 0.86217 0.000 0.964 0.000 0.000 0.036
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0404 0.91893 0.988 0.000 0.000 0.012 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0324 0.86221 0.000 0.992 0.004 0.000 0.004
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2127 0.88361 0.892 0.000 0.108 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.2625 0.79265 0.000 0.876 0.108 0.000 0.016
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.0162 0.81104 0.000 0.004 0.000 0.000 0.996
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.1043 0.85241 0.000 0.960 0.040 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.1205 0.76491 0.040 0.004 0.956 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.4235 0.17121 0.000 0.576 0.000 0.000 0.424
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 3 0.3452 0.68124 0.000 0.244 0.756 0.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.0609 0.92591 0.000 0.020 0.000 0.980 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.4866 0.51031 0.000 0.284 0.052 0.664 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.2488 0.79098 0.000 0.124 0.872 0.000 0.004
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.2179 0.82879 0.000 0.000 0.888 0.000 0.112
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.2966 0.78072 0.000 0.000 0.816 0.000 0.184
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1270 0.85561 0.000 0.948 0.000 0.000 0.052
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.1608 0.89847 0.928 0.000 0.072 0.000 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.3160 0.81839 0.808 0.004 0.188 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.1956 0.79106 0.000 0.008 0.076 0.000 0.916
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.2540 0.80882 0.000 0.088 0.888 0.000 0.024
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1270 0.85554 0.000 0.948 0.000 0.000 0.052
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3039 0.77152 0.192 0.000 0.000 0.808 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0162 0.93579 0.004 0.000 0.000 0.996 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.6226 0.32925 0.504 0.340 0.156 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.4074 0.45491 0.000 0.000 0.364 0.000 0.636
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0703 0.86328 0.000 0.976 0.000 0.000 0.024
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0510 0.86401 0.000 0.984 0.000 0.000 0.016
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.3305 0.72553 0.000 0.000 0.776 0.000 0.224
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.3210 0.76749 0.000 0.000 0.788 0.000 0.212
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.3074 0.76708 0.196 0.000 0.000 0.804 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5680 0.51372 0.000 0.628 0.160 0.000 0.212
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.2891 0.71166 0.000 0.000 0.176 0.000 0.824
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0703 0.86328 0.000 0.976 0.000 0.000 0.024
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4898 0.63198 0.000 0.248 0.684 0.000 0.068
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.2286 0.88190 0.888 0.004 0.108 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.2338 0.87993 0.884 0.004 0.112 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.5577 0.58093 0.000 0.184 0.172 0.000 0.644
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1168 0.86027 0.000 0.960 0.008 0.000 0.032
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.4030 0.47041 0.000 0.352 0.000 0.000 0.648
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.2852 0.74519 0.000 0.828 0.000 0.172 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.5580 0.50301 0.000 0.632 0.236 0.000 0.132
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.5525 0.49313 0.000 0.636 0.240 0.000 0.124
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.2648 0.76488 0.000 0.152 0.848 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.2280 0.82715 0.000 0.000 0.880 0.000 0.120
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.2629 0.70036 0.000 0.004 0.860 0.136 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.3932 0.50768 0.000 0.328 0.000 0.000 0.672
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.4060 0.46474 0.000 0.360 0.000 0.000 0.640
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.2230 0.82871 0.000 0.000 0.884 0.000 0.116
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.2338 0.79752 0.000 0.884 0.004 0.112 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3143 0.73356 0.000 0.796 0.000 0.000 0.204
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.4297 0.00693 0.000 0.528 0.000 0.000 0.472
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.5450 0.21211 0.000 0.444 0.060 0.000 0.496
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3109 0.76373 0.200 0.000 0.000 0.800 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0000 0.81164 0.000 0.000 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2540 0.80865 0.000 0.088 0.888 0.000 0.024
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3305 0.73433 0.224 0.000 0.000 0.776 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.92458 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.3508 0.63213 0.000 0.000 0.252 0.000 0.748
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.93731 0.000 0.000 0.000 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3424 0.70326 0.000 0.000 0.760 0.000 0.240
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.4242 0.30565 0.000 0.428 0.572 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4171 0.27141 0.000 0.604 0.000 0.000 0.396
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3336 0.66247 0.000 0.772 0.228 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3177 0.68542 0.000 0.792 0.000 0.000 0.208
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0963 0.86287 0.000 0.964 0.000 0.000 0.036
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.2813 0.72454 0.000 0.000 0.168 0.000 0.832
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.4060 0.46449 0.000 0.000 0.360 0.000 0.640
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3704 0.78344 0.000 0.088 0.820 0.000 0.092
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0162 0.86255 0.000 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3015 0.81468 0.024 0.000 0.012 0.844 0.000 0.120
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0146 0.80481 0.000 0.000 0.004 0.000 0.996 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5786 0.04181 0.000 0.492 0.000 0.208 0.000 0.300
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.2830 0.62439 0.000 0.000 0.836 0.000 0.144 0.020
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
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#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.2328 0.67351 0.000 0.000 0.892 0.000 0.052 0.056
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4376 0.53159 0.000 0.000 0.704 0.000 0.212 0.084
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.2762 0.73510 0.196 0.000 0.000 0.804 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.3446 0.31469 0.000 0.692 0.000 0.000 0.000 0.308
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.7560 -0.33128 0.000 0.312 0.212 0.000 0.168 0.308
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.4319 0.38011 0.000 0.000 0.348 0.000 0.620 0.032
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.48955 0.000 1.000 0.000 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3446 0.31469 0.000 0.692 0.000 0.000 0.000 0.308
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4640 0.37725 0.000 0.160 0.720 0.000 0.016 0.104
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.3409 0.72735 0.700 0.000 0.000 0.000 0.000 0.300
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.3499 0.71272 0.680 0.000 0.000 0.000 0.000 0.320
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.6794 -0.16223 0.000 0.356 0.328 0.000 0.276 0.040
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5476 0.24945 0.000 0.588 0.044 0.000 0.060 0.308
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3784 0.32197 0.000 0.680 0.000 0.000 0.308 0.012
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5575 0.10357 0.000 0.532 0.000 0.172 0.000 0.296
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.7403 0.43591 0.000 0.272 0.220 0.000 0.136 0.372
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.6874 0.44737 0.000 0.348 0.224 0.000 0.056 0.372
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.1957 0.82824 0.000 0.000 0.000 0.888 0.000 0.112
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.3013 0.57359 0.000 0.068 0.844 0.000 0.000 0.088
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.1219 0.66106 0.000 0.000 0.948 0.000 0.048 0.004
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.3868 -0.27438 0.000 0.000 0.496 0.000 0.000 0.504
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.3867 0.29908 0.000 0.660 0.000 0.000 0.328 0.012
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.0260 0.85998 0.000 0.000 0.000 0.992 0.000 0.008
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3710 0.33054 0.000 0.696 0.000 0.000 0.292 0.012
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.2595 0.63319 0.000 0.000 0.872 0.000 0.044 0.084
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0000 0.80491 0.000 0.000 0.000 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5219 0.18016 0.000 0.568 0.000 0.116 0.000 0.316
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3650 0.34339 0.000 0.716 0.008 0.000 0.004 0.272
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1814 0.46032 0.000 0.900 0.000 0.000 0.100 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3368 0.37249 0.000 0.756 0.000 0.000 0.232 0.012
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.7097 0.10449 0.000 0.468 0.208 0.000 0.164 0.160
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.2854 0.72331 0.208 0.000 0.000 0.792 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.0790 0.78468 0.000 0.000 0.000 0.000 0.968 0.032
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2805 0.64106 0.000 0.012 0.828 0.000 0.000 0.160
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3076 0.68781 0.240 0.000 0.000 0.760 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.87434 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.6704 -0.03696 0.000 0.304 0.364 0.000 0.300 0.032
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0000 0.86158 0.000 0.000 0.000 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3315 0.64622 0.000 0.000 0.804 0.000 0.040 0.156
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.4890 0.11538 0.000 0.360 0.580 0.000 0.008 0.052
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2838 0.40821 0.000 0.808 0.000 0.000 0.188 0.004
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.6044 -0.35210 0.000 0.416 0.276 0.000 0.000 0.308
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4063 0.36092 0.000 0.776 0.040 0.000 0.036 0.148
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0777 0.48964 0.000 0.972 0.000 0.000 0.024 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.5992 0.22927 0.000 0.008 0.292 0.000 0.492 0.208
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.7188 0.30100 0.000 0.148 0.440 0.000 0.244 0.168
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3144 0.63529 0.000 0.016 0.808 0.000 0.004 0.172
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.3330 0.33486 0.000 0.716 0.000 0.000 0.000 0.284
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.919 0.950 0.978 0.4767 0.529 0.529
#> 3 3 0.560 0.610 0.770 0.2426 0.896 0.808
#> 4 4 0.511 0.599 0.747 0.1805 0.761 0.507
#> 5 5 0.536 0.552 0.746 0.0700 0.846 0.541
#> 6 6 0.606 0.467 0.687 0.0685 0.903 0.633
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9895 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9895 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9895 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9699 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.6148 0.8102 0.848 0.152
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9699 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9895 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9699 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9895 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9895 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9895 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9895 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9699 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9895 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9699 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9699 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9895 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9699 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.7139 0.7702 0.196 0.804
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9699 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.9699 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.9699 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9699 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9895 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9699 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9699 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9699 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.9699 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.9686 0.3090 0.604 0.396
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9699 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.9699 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9895 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9699 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9699 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.9795 0.3388 0.416 0.584
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9895 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9699 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9699 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9895 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.9699 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9699 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9699 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9699 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9699 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9895 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.9699 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.9895 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.7139 0.7702 0.196 0.804
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9895 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9699 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9699 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8016 0.7024 0.244 0.756
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9895 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.9895 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9895 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9699 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9895 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9699 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.9699 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.9895 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9895 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9895 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9699 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9895 1.000 0.000
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#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.9699 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.8327 0.6690 0.264 0.736
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9895 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.9699 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9699 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9895 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9699 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9699 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9699 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9895 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9895 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.9635 0.3307 0.612 0.388
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9895 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9895 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9895 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9699 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9699 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9895 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9699 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.9087 0.5599 0.324 0.676
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9895 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7139 0.7702 0.196 0.804
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7139 0.7702 0.196 0.804
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9895 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.9699 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9699 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.0000 0.9895 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9699 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9895 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9895 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9699 0.000 1.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.8861 0.5991 0.304 0.696
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9699 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.7139 0.7711 0.196 0.804
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9699 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9699 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9699 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9895 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9699 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9895 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9699 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.9699 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9895 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9895 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9699 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9895 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9699 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.9699 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9699 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.9699 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9699 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9699 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9699 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9699 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9699 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9699 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 3 0.5785 8.79e-01 0.332 0.000 0.668
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.6095 -2.79e-01 0.608 0.000 0.392
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 3 0.5810 8.94e-01 0.336 0.000 0.664
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.6887 2.81e-01 0.704 0.060 0.236
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0237 8.57e-01 0.000 0.996 0.004
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.4452 2.88e-01 0.808 0.000 0.192
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 8.57e-01 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 3 0.5810 8.94e-01 0.336 0.000 0.664
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 3 0.6045 8.56e-01 0.380 0.000 0.620
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5926 1.29e-02 0.644 0.000 0.356
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0747 4.32e-01 0.984 0.000 0.016
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0237 8.57e-01 0.000 0.996 0.004
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.5529 4.96e-02 0.704 0.000 0.296
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.5254 8.17e-01 0.000 0.736 0.264
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.5591 4.04e-02 0.696 0.000 0.304
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.5058 8.24e-01 0.000 0.756 0.244
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.4636 7.66e-01 0.116 0.848 0.036
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0237 8.57e-01 0.000 0.996 0.004
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5763 8.11e-01 0.008 0.716 0.276
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 3 0.5948 8.67e-01 0.360 0.000 0.640
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 8.57e-01 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0237 8.57e-01 0.000 0.996 0.004
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.5138 8.22e-01 0.000 0.748 0.252
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0237 8.57e-01 0.000 0.996 0.004
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.9671 1.99e-03 0.460 0.292 0.248
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 8.57e-01 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.1765 8.40e-01 0.040 0.956 0.004
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.2165 4.13e-01 0.936 0.000 0.064
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.5553 8.13e-01 0.004 0.724 0.272
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.5327 8.15e-01 0.000 0.728 0.272
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.9022 3.48e-02 0.480 0.384 0.136
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.5327 1.43e-01 0.728 0.000 0.272
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 8.57e-01 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.5968 -1.21e-02 0.636 0.000 0.364
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0424 8.57e-01 0.000 0.992 0.008
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.5254 8.17e-01 0.000 0.736 0.264
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5178 8.20e-01 0.000 0.744 0.256
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.5553 8.13e-01 0.004 0.724 0.272
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 3 0.5810 8.94e-01 0.336 0.000 0.664
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5919 8.09e-01 0.012 0.712 0.276
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.6026 6.79e-02 0.624 0.000 0.376
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.9648 5.41e-01 0.244 0.464 0.292
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 3 0.5810 8.94e-01 0.336 0.000 0.664
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.2050 8.38e-01 0.020 0.952 0.028
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.1999 8.38e-01 0.036 0.952 0.012
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.9882 -1.68e-01 0.408 0.312 0.280
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.5497 6.17e-02 0.708 0.000 0.292
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.1643 4.29e-01 0.956 0.000 0.044
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4452 2.88e-01 0.808 0.000 0.192
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.5327 8.15e-01 0.000 0.728 0.272
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.4504 2.83e-01 0.804 0.000 0.196
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5363 8.14e-01 0.000 0.724 0.276
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.5588 8.13e-01 0.004 0.720 0.276
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.5760 9.92e-02 0.672 0.000 0.328
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.5706 -3.27e-03 0.680 0.000 0.320
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.4399 2.93e-01 0.812 0.000 0.188
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.5859 -1.31e-01 0.656 0.000 0.344
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.6180 -3.51e-01 0.584 0.000 0.416
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 8.57e-01 0.000 1.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 3 0.6026 8.56e-01 0.376 0.000 0.624
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.6302 -5.73e-01 0.520 0.000 0.480
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.9122 6.52e-01 0.184 0.536 0.280
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.4452 2.88e-01 0.808 0.000 0.192
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.5327 8.15e-01 0.000 0.728 0.272
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 3 0.6291 6.96e-01 0.468 0.000 0.532
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 3 0.5835 8.92e-01 0.340 0.000 0.660
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.4654 8.33e-01 0.000 0.792 0.208
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.5363 8.14e-01 0.000 0.724 0.276
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.1170 4.33e-01 0.976 0.016 0.008
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.9328 5.88e-01 0.232 0.520 0.248
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 3 0.5810 8.94e-01 0.336 0.000 0.664
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 8.57e-01 0.000 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.5926 1.29e-02 0.644 0.000 0.356
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 3 0.5948 8.75e-01 0.360 0.000 0.640
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 3 0.5810 8.94e-01 0.336 0.000 0.664
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 3 0.5810 8.94e-01 0.336 0.000 0.664
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.6280 -4.69e-01 0.540 0.000 0.460
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0424 8.57e-01 0.000 0.992 0.008
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.3038 3.84e-01 0.896 0.000 0.104
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.4235 7.17e-01 0.176 0.824 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.2176 4.24e-01 0.948 0.020 0.032
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0424 4.33e-01 0.992 0.000 0.008
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.5553 8.13e-01 0.004 0.724 0.272
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.9098 6.39e-01 0.184 0.540 0.276
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 3 0.6252 7.06e-01 0.444 0.000 0.556
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.1529 8.58e-01 0.000 0.960 0.040
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.5254 8.18e-01 0.000 0.736 0.264
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 3 0.6079 8.30e-01 0.388 0.000 0.612
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 8.57e-01 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0829 8.53e-01 0.012 0.984 0.004
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.6062 -2.30e-01 0.616 0.000 0.384
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.5948 4.79e-05 0.640 0.000 0.360
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.6407 8.00e-01 0.028 0.700 0.272
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.1999 8.38e-01 0.036 0.952 0.012
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.5905 2.37e-02 0.648 0.000 0.352
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 3 0.5810 8.94e-01 0.336 0.000 0.664
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.5905 2.37e-02 0.648 0.000 0.352
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 3 0.6026 7.84e-01 0.376 0.000 0.624
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0237 8.57e-01 0.000 0.996 0.004
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#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5216 8.21e-01 0.000 0.740 0.260
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 3 0.5785 8.88e-01 0.332 0.000 0.668
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 8.57e-01 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.5327 8.15e-01 0.000 0.728 0.272
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.8009 7.42e-01 0.100 0.624 0.276
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.4452 2.88e-01 0.808 0.000 0.192
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 3 0.5810 8.94e-01 0.336 0.000 0.664
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.6955 -5.16e-02 0.492 0.492 0.016
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 3 0.6095 8.33e-01 0.392 0.000 0.608
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.5968 -1.21e-02 0.636 0.000 0.364
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.5968 -1.21e-02 0.636 0.000 0.364
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0424 8.58e-01 0.000 0.992 0.008
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5363 8.14e-01 0.000 0.724 0.276
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.4452 2.88e-01 0.808 0.000 0.192
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.5327 8.15e-01 0.000 0.728 0.272
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.8722 2.34e-01 0.576 0.152 0.272
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 3 0.6045 8.51e-01 0.380 0.000 0.620
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.9191 6.22e-01 0.208 0.536 0.256
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.7525 6.70e-01 0.208 0.684 0.108
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0747 4.31e-01 0.984 0.000 0.016
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.9267 5.84e-01 0.248 0.528 0.224
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0237 8.57e-01 0.000 0.996 0.004
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.5948 7.28e-02 0.640 0.000 0.360
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.5291 8.16e-01 0.000 0.732 0.268
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.4452 2.88e-01 0.808 0.000 0.192
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0592 4.33e-01 0.988 0.000 0.012
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.4974 8.26e-01 0.000 0.764 0.236
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.6562 5.47e-01 0.264 0.700 0.036
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.2448 8.08e-01 0.076 0.924 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.9724 -7.30e-02 0.452 0.268 0.280
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5291 8.17e-01 0.000 0.732 0.268
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3686 3.53e-01 0.860 0.000 0.140
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5291 8.17e-01 0.000 0.732 0.268
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.6180 -3.51e-01 0.584 0.000 0.416
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.3573 7.86e-01 0.120 0.876 0.004
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.6168 -3.43e-01 0.588 0.000 0.412
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 3 0.5810 8.94e-01 0.336 0.000 0.664
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 8.57e-01 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.5216 1.71e-01 0.740 0.000 0.260
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0237 8.57e-01 0.000 0.996 0.004
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.9040 6.40e-01 0.204 0.556 0.240
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4654 8.33e-01 0.000 0.792 0.208
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5327 8.15e-01 0.000 0.728 0.272
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.5327 8.15e-01 0.000 0.728 0.272
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 8.57e-01 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0237 8.57e-01 0.000 0.996 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.3532 7.98e-01 0.108 0.884 0.008
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.7607 7.63e-01 0.076 0.644 0.280
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.2530 0.7395 0.112 0.000 0.000 0.888
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.4304 0.5947 0.000 0.284 0.716 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6840 0.0339 0.012 0.524 0.072 0.392
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0469 0.7325 0.000 0.012 0.988 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.2401 0.7414 0.092 0.004 0.000 0.904
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.3975 0.6396 0.000 0.240 0.760 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.5000 0.0941 0.496 0.000 0.000 0.504
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.7103 -0.1244 0.404 0.128 0.000 0.468
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.6222 0.2574 0.056 0.412 0.000 0.532
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0188 0.7350 0.000 0.004 0.996 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2773 0.7325 0.116 0.004 0.000 0.880
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.2589 0.7158 0.000 0.116 0.884 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3942 0.7578 0.000 0.764 0.236 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.2888 0.7333 0.124 0.004 0.000 0.872
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.4661 0.6005 0.000 0.652 0.348 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.6082 0.5780 0.016 0.168 0.712 0.104
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.2149 0.7313 0.000 0.088 0.912 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0817 0.7282 0.000 0.024 0.976 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4134 0.7473 0.000 0.740 0.260 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.3726 0.7619 0.000 0.788 0.212 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2888 0.7112 0.872 0.004 0.000 0.124
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.1940 0.7401 0.000 0.076 0.924 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0336 0.7375 0.000 0.008 0.992 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3907 0.7586 0.000 0.768 0.232 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0817 0.7282 0.000 0.024 0.976 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6452 0.3740 0.000 0.620 0.112 0.268
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 3 0.4522 0.5386 0.000 0.320 0.680 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2198 0.6924 0.000 0.072 0.920 0.008
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0336 0.7327 0.008 0.000 0.000 0.992
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.3801 0.7641 0.000 0.780 0.220 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.3907 0.7599 0.000 0.768 0.232 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.7828 0.2711 0.016 0.292 0.504 0.188
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.2593 0.7382 0.104 0.004 0.000 0.892
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 3 0.4761 0.5278 0.000 0.332 0.664 0.004
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.2589 0.7158 0.000 0.116 0.884 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.7082 0.1625 0.448 0.124 0.000 0.428
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2011 0.7029 0.000 0.080 0.920 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.3873 0.7632 0.000 0.772 0.228 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.2589 0.7158 0.000 0.116 0.884 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4661 0.6314 0.000 0.652 0.348 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.3942 0.7616 0.000 0.764 0.236 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.4356 0.7218 0.000 0.708 0.292 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.7416 -0.0996 0.392 0.168 0.000 0.440
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.7506 0.2264 0.016 0.440 0.428 0.116
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.2782 0.6890 0.004 0.068 0.904 0.024
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.4155 0.6743 0.016 0.116 0.836 0.032
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.6193 0.5012 0.000 0.672 0.148 0.180
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.2593 0.7378 0.104 0.004 0.000 0.892
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.2593 0.6976 0.016 0.080 0.000 0.904
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.2334 0.7425 0.088 0.004 0.000 0.908
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.3726 0.7619 0.000 0.788 0.212 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.2401 0.7414 0.092 0.004 0.000 0.904
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.4866 0.5480 0.000 0.596 0.404 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4522 0.7150 0.000 0.680 0.320 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.4332 0.6790 0.072 0.112 0.000 0.816
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.2704 0.7338 0.124 0.000 0.000 0.876
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.1743 0.7441 0.056 0.004 0.000 0.940
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.4008 0.6486 0.000 0.244 0.756 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2179 0.7392 0.064 0.012 0.000 0.924
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3306 0.7142 0.156 0.004 0.000 0.840
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0336 0.7375 0.000 0.008 0.992 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 3 0.4605 0.5237 0.000 0.336 0.664 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.2125 0.7438 0.920 0.004 0.000 0.076
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3751 0.6870 0.196 0.004 0.000 0.800
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.6714 0.5625 0.000 0.540 0.360 0.100
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.2401 0.7414 0.092 0.004 0.000 0.904
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.3975 0.7495 0.000 0.760 0.240 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.4509 0.5484 0.288 0.004 0.000 0.708
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.1022 0.7642 0.968 0.000 0.000 0.032
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.4564 0.2442 0.000 0.328 0.672 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.4431 0.7169 0.000 0.696 0.304 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.3196 0.6577 0.000 0.136 0.008 0.856
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.5592 0.5520 0.000 0.656 0.300 0.044
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 3 0.2589 0.7158 0.000 0.116 0.884 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.4008 0.7503 0.000 0.756 0.244 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 4 0.7442 -0.0664 0.368 0.176 0.000 0.456
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.3801 0.5488 0.780 0.000 0.000 0.220
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.3942 0.7623 0.000 0.764 0.236 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.6775 0.2089 0.516 0.100 0.000 0.384
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 3 0.4730 0.4632 0.000 0.364 0.636 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.2060 0.7374 0.052 0.016 0.000 0.932
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 3 0.6524 0.4765 0.000 0.264 0.616 0.120
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.5635 0.5545 0.016 0.172 0.072 0.740
#> EF87699E-C04F-4087-92A5-DE43444658F8 3 0.2921 0.7099 0.000 0.140 0.860 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.1118 0.7205 0.000 0.036 0.000 0.964
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3942 0.7529 0.000 0.764 0.236 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.4072 0.7460 0.000 0.748 0.252 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.4934 0.6850 0.000 0.720 0.252 0.028
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.3400 0.6591 0.820 0.000 0.000 0.180
#> FB60555C-BAAB-4561-99A4-5C77101253A9 3 0.2345 0.7243 0.000 0.100 0.900 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 3 0.5168 -0.2681 0.000 0.496 0.500 0.004
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.4040 0.7457 0.000 0.752 0.248 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.3123 0.6849 0.844 0.000 0.000 0.156
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.3942 0.7563 0.000 0.764 0.236 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 3 0.1557 0.7380 0.000 0.056 0.944 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0817 0.7282 0.000 0.024 0.976 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.3523 0.7409 0.112 0.032 0.000 0.856
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 4 0.7117 -0.1419 0.424 0.128 0.000 0.448
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.5344 0.7074 0.000 0.668 0.300 0.032
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.3100 0.6892 0.004 0.080 0.888 0.028
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#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0817 0.7266 0.000 0.024 0.976 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.4406 0.7297 0.000 0.700 0.300 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.2773 0.7392 0.116 0.004 0.000 0.880
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.2053 0.7442 0.072 0.004 0.000 0.924
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.2466 0.7403 0.096 0.004 0.000 0.900
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 4 0.7626 0.1001 0.216 0.336 0.000 0.448
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.1474 0.7385 0.000 0.052 0.948 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.3801 0.7618 0.000 0.780 0.220 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.3688 0.7619 0.000 0.792 0.208 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.2060 0.7057 0.016 0.052 0.000 0.932
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0336 0.7377 0.000 0.008 0.992 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.7170 0.4377 0.016 0.212 0.608 0.164
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.2773 0.7325 0.116 0.004 0.000 0.880
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4406 0.7268 0.000 0.700 0.300 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4994 0.3301 0.000 0.520 0.480 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0707 0.7679 0.980 0.000 0.000 0.020
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.1940 0.7325 0.000 0.076 0.924 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.3942 0.7607 0.000 0.764 0.236 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.5062 0.7156 0.000 0.692 0.284 0.024
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2334 0.7425 0.088 0.004 0.000 0.908
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.7377 0.3124 0.000 0.216 0.520 0.264
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2216 0.7369 0.908 0.000 0.000 0.092
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.6834 0.2044 0.476 0.100 0.000 0.424
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.6878 0.1993 0.472 0.104 0.000 0.424
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.3400 0.6942 0.000 0.180 0.820 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3907 0.7633 0.000 0.768 0.232 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.2401 0.7414 0.092 0.004 0.000 0.904
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3726 0.7619 0.000 0.788 0.212 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.6414 0.4577 0.000 0.636 0.124 0.240
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.2814 0.6999 0.868 0.000 0.000 0.132
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.7100 0.4298 0.016 0.512 0.388 0.084
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.6184 0.5580 0.016 0.196 0.696 0.092
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.0707 0.7367 0.020 0.000 0.000 0.980
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.6411 0.4612 0.000 0.600 0.308 0.092
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0469 0.7325 0.000 0.012 0.988 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.7345 0.0217 0.348 0.168 0.000 0.484
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.3975 0.7593 0.000 0.760 0.240 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.2334 0.7425 0.088 0.004 0.000 0.908
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.2918 0.6811 0.008 0.116 0.000 0.876
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.4164 0.7473 0.000 0.736 0.264 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.7276 0.4199 0.016 0.232 0.592 0.160
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 3 0.4855 0.5607 0.000 0.268 0.712 0.020
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.6034 0.5453 0.000 0.688 0.164 0.148
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4500 0.7255 0.000 0.684 0.316 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3726 0.7619 0.000 0.788 0.212 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3764 0.7619 0.000 0.784 0.216 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.1004 0.7383 0.024 0.004 0.000 0.972
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4564 0.6989 0.000 0.672 0.328 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.4018 0.6608 0.224 0.004 0.000 0.772
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.4502 0.6021 0.000 0.236 0.748 0.016
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.4669 0.6031 0.000 0.200 0.764 0.036
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4477 0.5000 0.312 0.000 0.000 0.688
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0592 0.7691 0.984 0.000 0.000 0.016
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.3123 0.7113 0.000 0.156 0.844 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.2530 0.7402 0.100 0.004 0.000 0.896
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.1022 0.7365 0.000 0.032 0.968 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5535 0.5581 0.000 0.656 0.304 0.040
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.3726 0.7619 0.000 0.788 0.212 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4776 0.0262 0.000 0.376 0.624 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3801 0.7618 0.000 0.780 0.220 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3907 0.7555 0.000 0.768 0.232 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0921 0.7401 0.000 0.028 0.972 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.1302 0.7401 0.000 0.044 0.956 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4790 0.1273 0.000 0.380 0.620 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.5937 0.6577 0.000 0.608 0.340 0.052
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0865 0.82041 0.972 0.000 0.004 0.024 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0740 0.79689 0.008 0.000 0.008 0.980 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.6450 0.17999 0.020 0.480 0.108 0.000 0.392
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6668 0.44366 0.000 0.272 0.524 0.188 0.016
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.3532 0.77868 0.000 0.128 0.048 0.000 0.824
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.0290 0.79572 0.008 0.000 0.000 0.992 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.6051 0.27454 0.020 0.384 0.072 0.000 0.524
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 4 0.4304 0.02768 0.484 0.000 0.000 0.516 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.6157 0.32205 0.060 0.000 0.572 0.324 0.044
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.5915 0.32763 0.000 0.048 0.572 0.344 0.036
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.3622 0.77337 0.000 0.124 0.056 0.000 0.820
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.1197 0.78510 0.048 0.000 0.000 0.952 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.3899 0.75718 0.020 0.192 0.008 0.000 0.780
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.1503 0.69503 0.020 0.952 0.008 0.000 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1018 0.79504 0.016 0.000 0.016 0.968 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2605 0.63433 0.000 0.852 0.000 0.000 0.148
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 5 0.6507 0.30005 0.000 0.192 0.376 0.000 0.432
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.3628 0.73215 0.000 0.216 0.012 0.000 0.772
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.3688 0.77712 0.000 0.124 0.060 0.000 0.816
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3914 0.63072 0.000 0.788 0.164 0.000 0.048
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0290 0.69602 0.000 0.992 0.000 0.000 0.008
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.2488 0.76020 0.872 0.000 0.004 0.124 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.4462 0.77223 0.020 0.168 0.044 0.000 0.768
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.2439 0.78147 0.000 0.120 0.004 0.000 0.876
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3351 0.62043 0.020 0.828 0.004 0.000 0.148
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.4049 0.77374 0.000 0.124 0.084 0.000 0.792
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.5514 0.30835 0.020 0.296 0.640 0.012 0.032
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5579 0.15560 0.020 0.536 0.036 0.000 0.408
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.5620 0.64314 0.000 0.116 0.272 0.000 0.612
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1768 0.76732 0.000 0.000 0.072 0.924 0.004
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0162 0.69590 0.000 0.996 0.000 0.000 0.004
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.1341 0.69444 0.000 0.944 0.056 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.6466 0.11930 0.000 0.204 0.480 0.000 0.316
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.0404 0.79571 0.012 0.000 0.000 0.988 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.6444 0.18415 0.020 0.484 0.108 0.000 0.388
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3495 0.77936 0.000 0.152 0.032 0.000 0.816
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.7577 -0.07708 0.332 0.000 0.284 0.344 0.040
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.4411 0.73677 0.000 0.120 0.116 0.000 0.764
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1405 0.69750 0.020 0.956 0.008 0.000 0.016
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.3608 0.77833 0.000 0.148 0.040 0.000 0.812
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4153 0.53421 0.020 0.736 0.004 0.000 0.240
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1704 0.69138 0.000 0.928 0.068 0.000 0.004
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.4201 0.60104 0.000 0.752 0.204 0.000 0.044
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.6471 0.35454 0.092 0.000 0.592 0.260 0.056
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.6248 0.24020 0.000 0.468 0.384 0.000 0.148
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0703 0.82145 0.976 0.000 0.000 0.024 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.4906 0.63326 0.000 0.076 0.232 0.000 0.692
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.5958 0.53809 0.000 0.144 0.288 0.000 0.568
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.5533 0.19202 0.000 0.536 0.408 0.012 0.044
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.1043 0.78841 0.040 0.000 0.000 0.960 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.4438 0.61651 0.000 0.004 0.224 0.732 0.040
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.0000 0.79488 0.000 0.000 0.000 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0609 0.69622 0.000 0.980 0.000 0.000 0.020
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.0162 0.79538 0.004 0.000 0.000 0.996 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5318 0.39959 0.020 0.656 0.048 0.000 0.276
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3413 0.66133 0.000 0.832 0.124 0.000 0.044
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.5286 0.48383 0.008 0.000 0.316 0.624 0.052
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.0510 0.79550 0.016 0.000 0.000 0.984 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0290 0.79451 0.000 0.000 0.008 0.992 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.4997 0.40030 0.020 0.404 0.008 0.000 0.568
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.2554 0.77567 0.020 0.000 0.076 0.896 0.008
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1478 0.77793 0.064 0.000 0.000 0.936 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.2753 0.77901 0.000 0.136 0.008 0.000 0.856
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.6333 0.19055 0.020 0.492 0.096 0.000 0.392
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.2377 0.75712 0.872 0.000 0.000 0.128 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3586 0.56234 0.264 0.000 0.000 0.736 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.5216 0.52675 0.000 0.660 0.248 0.000 0.092
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.0162 0.79538 0.004 0.000 0.000 0.996 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1121 0.69348 0.000 0.956 0.000 0.000 0.044
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 4 0.3366 0.58945 0.232 0.000 0.000 0.768 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0703 0.82150 0.976 0.000 0.000 0.024 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 5 0.5588 0.40342 0.020 0.380 0.040 0.000 0.560
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.5261 0.54806 0.020 0.704 0.080 0.000 0.196
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 3 0.4696 0.24086 0.000 0.004 0.584 0.400 0.012
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.5910 0.27195 0.020 0.264 0.620 0.000 0.096
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.3531 0.77824 0.000 0.148 0.036 0.000 0.816
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1403 0.70073 0.000 0.952 0.024 0.000 0.024
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 3 0.6190 0.32787 0.052 0.004 0.576 0.324 0.044
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.3480 0.62513 0.752 0.000 0.000 0.248 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0865 0.69690 0.000 0.972 0.024 0.000 0.004
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.5767 0.44777 0.124 0.000 0.256 0.616 0.004
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#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.2890 0.77036 0.000 0.160 0.004 0.000 0.836
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 5 0.5864 0.50574 0.000 0.120 0.320 0.000 0.560
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.2331 0.77450 0.080 0.000 0.020 0.900 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0609 0.69622 0.000 0.980 0.000 0.000 0.020
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.3300 0.75863 0.000 0.204 0.004 0.000 0.792
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.4552 0.39537 0.020 0.668 0.004 0.000 0.308
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.7096 -0.02615 0.020 0.380 0.212 0.000 0.388
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.4191 0.63374 0.012 0.784 0.160 0.000 0.044
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.5827 0.16711 0.020 0.520 0.052 0.000 0.408
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0290 0.69602 0.000 0.992 0.000 0.000 0.008
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 3 0.5427 0.29921 0.000 0.048 0.568 0.376 0.008
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.4967 0.18710 0.020 0.464 0.004 0.000 0.512
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.4759 0.56935 0.020 0.328 0.008 0.000 0.644
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.3002 0.66591 0.000 0.856 0.116 0.000 0.028
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.3739 0.64075 0.020 0.820 0.024 0.000 0.136
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.4114 0.35361 0.624 0.000 0.000 0.376 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.6721 0.38945 0.020 0.532 0.200 0.000 0.248
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0510 0.69661 0.000 0.984 0.000 0.000 0.016
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1725 0.78954 0.044 0.000 0.020 0.936 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.4133 0.62036 0.000 0.768 0.180 0.000 0.052
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 3 0.7225 0.19627 0.176 0.000 0.440 0.344 0.040
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5314 0.47794 0.000 0.632 0.296 0.004 0.068
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.7006 0.14306 0.020 0.428 0.164 0.004 0.384
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.6282 0.47713 0.020 0.600 0.220 0.000 0.160
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.5647 0.42287 0.072 0.000 0.696 0.176 0.056
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.1471 0.69394 0.020 0.952 0.004 0.000 0.024
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.5268 0.54376 0.020 0.324 0.032 0.000 0.624
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 3 0.7274 0.29812 0.000 0.248 0.376 0.352 0.024
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.5554 0.27056 0.000 0.004 0.408 0.528 0.060
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 5 0.5339 0.69200 0.000 0.152 0.176 0.000 0.672
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.4615 0.57507 0.000 0.724 0.220 0.004 0.052
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.3918 0.75138 0.000 0.096 0.100 0.000 0.804
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.6099 0.21114 0.020 0.520 0.076 0.000 0.384
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.3432 0.77563 0.000 0.132 0.040 0.000 0.828
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.2450 0.69237 0.000 0.896 0.076 0.000 0.028
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.7534 -0.08207 0.300 0.000 0.320 0.344 0.036
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.6734 0.28226 0.116 0.000 0.520 0.324 0.040
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.4950 0.47049 0.020 0.384 0.008 0.000 0.588
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.4317 0.73340 0.000 0.112 0.116 0.000 0.772
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.3033 0.68401 0.000 0.864 0.084 0.000 0.052
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1117 0.79682 0.020 0.000 0.016 0.964 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.0000 0.79488 0.000 0.000 0.000 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.0703 0.79240 0.024 0.000 0.000 0.976 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.6437 0.42053 0.040 0.036 0.616 0.264 0.044
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.2848 0.77142 0.000 0.156 0.004 0.000 0.840
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.1518 0.69602 0.020 0.952 0.012 0.000 0.016
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0510 0.69680 0.000 0.984 0.016 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4468 0.60644 0.000 0.000 0.240 0.716 0.044
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.3309 0.77935 0.000 0.128 0.036 0.000 0.836
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.5303 -0.10936 0.000 0.040 0.516 0.004 0.440
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 4 0.1197 0.78510 0.048 0.000 0.000 0.952 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.3710 0.64751 0.000 0.808 0.144 0.000 0.048
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.6137 0.04539 0.020 0.496 0.076 0.000 0.408
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.1399 0.80365 0.952 0.000 0.028 0.020 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3754 0.76426 0.020 0.176 0.008 0.000 0.796
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1197 0.68575 0.000 0.952 0.048 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.3794 0.64320 0.000 0.800 0.152 0.000 0.048
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.79488 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4139 0.48722 0.004 0.040 0.824 0.052 0.080
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3074 0.69371 0.804 0.000 0.000 0.196 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.7489 0.10388 0.384 0.000 0.240 0.336 0.040
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.7525 0.05775 0.364 0.000 0.252 0.344 0.040
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.4511 0.70209 0.020 0.260 0.012 0.000 0.708
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.2588 0.67690 0.000 0.892 0.048 0.000 0.060
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.0162 0.79538 0.004 0.000 0.000 0.996 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0609 0.69622 0.000 0.980 0.000 0.000 0.020
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6168 0.16807 0.000 0.396 0.512 0.044 0.048
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.4430 0.13504 0.540 0.000 0.004 0.456 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.6653 0.23341 0.000 0.436 0.320 0.000 0.244
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 5 0.6800 0.14351 0.000 0.304 0.320 0.000 0.376
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.2179 0.75238 0.000 0.000 0.100 0.896 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.5455 0.37937 0.020 0.148 0.700 0.000 0.132
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.3386 0.77933 0.000 0.128 0.040 0.000 0.832
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5736 0.38984 0.044 0.004 0.672 0.224 0.056
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2685 0.68283 0.000 0.880 0.092 0.000 0.028
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.0000 0.79488 0.000 0.000 0.000 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.6146 -0.16015 0.000 0.100 0.444 0.448 0.008
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.4615 0.66752 0.020 0.768 0.144 0.000 0.068
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.4897 -0.12787 0.000 0.024 0.516 0.000 0.460
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.6734 0.18660 0.020 0.452 0.144 0.000 0.384
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5456 0.26151 0.000 0.556 0.388 0.008 0.048
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.4119 0.64791 0.020 0.792 0.032 0.000 0.156
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0898 0.69707 0.000 0.972 0.008 0.000 0.020
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1179 0.69574 0.016 0.964 0.004 0.000 0.016
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.0703 0.79140 0.000 0.000 0.024 0.976 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.6042 0.46019 0.020 0.616 0.116 0.000 0.248
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1544 0.77715 0.068 0.000 0.000 0.932 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.6670 0.17421 0.020 0.464 0.136 0.000 0.380
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.6160 0.03151 0.020 0.084 0.528 0.000 0.368
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1728 0.79142 0.020 0.000 0.036 0.940 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0609 0.82247 0.980 0.000 0.000 0.020 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.4217 0.72155 0.020 0.232 0.008 0.000 0.740
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.0404 0.79571 0.012 0.000 0.000 0.988 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.3309 0.77852 0.000 0.128 0.036 0.000 0.836
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6396 0.12908 0.020 0.308 0.548 0.000 0.124
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0609 0.69688 0.000 0.980 0.000 0.000 0.020
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.6155 -0.00464 0.020 0.476 0.076 0.000 0.428
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.1405 0.69562 0.020 0.956 0.008 0.000 0.016
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0609 0.69683 0.000 0.980 0.000 0.000 0.020
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3013 0.77221 0.000 0.160 0.008 0.000 0.832
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.4341 0.77425 0.020 0.136 0.056 0.000 0.788
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.5495 0.18136 0.000 0.064 0.436 0.000 0.500
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4795 0.54165 0.000 0.704 0.224 0.000 0.072
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0547 0.82616 0.980 0.000 0.000 0.000 0.000 0.020
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1268 0.72168 0.004 0.000 0.000 0.952 0.036 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.83384 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.6371 0.73956 0.000 0.336 0.220 0.000 0.424 0.020
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.5304 0.27711 0.000 0.292 0.000 0.084 0.020 0.604
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0632 0.67079 0.000 0.000 0.976 0.000 0.024 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.1845 0.71607 0.004 0.000 0.000 0.916 0.072 0.008
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.6298 0.72958 0.000 0.284 0.248 0.000 0.452 0.016
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0363 0.83109 0.988 0.000 0.000 0.012 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.4544 0.28480 0.548 0.000 0.000 0.416 0.036 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 6 0.5266 0.23637 0.004 0.000 0.000 0.312 0.108 0.576
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.4509 0.26587 0.000 0.008 0.000 0.316 0.036 0.640
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0935 0.66060 0.000 0.000 0.964 0.000 0.032 0.004
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2402 0.71278 0.032 0.000 0.000 0.896 0.060 0.012
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4798 0.29127 0.000 0.060 0.564 0.000 0.376 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4034 0.43072 0.000 0.652 0.020 0.000 0.328 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1693 0.71057 0.004 0.000 0.000 0.932 0.020 0.044
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3014 0.60478 0.000 0.832 0.036 0.000 0.132 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.7496 -0.30757 0.000 0.112 0.276 0.004 0.272 0.336
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.5255 0.20239 0.000 0.112 0.548 0.000 0.340 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1049 0.66221 0.000 0.000 0.960 0.000 0.032 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4170 0.55992 0.000 0.760 0.032 0.000 0.040 0.168
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0547 0.64245 0.000 0.980 0.000 0.000 0.020 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.4012 0.59428 0.728 0.000 0.000 0.232 0.008 0.032
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.4538 0.30806 0.000 0.048 0.612 0.000 0.340 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2346 0.64911 0.000 0.008 0.868 0.000 0.124 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.4344 0.36447 0.000 0.628 0.036 0.000 0.336 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.1074 0.66322 0.000 0.000 0.960 0.000 0.028 0.012
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 6 0.5619 0.32134 0.000 0.164 0.024 0.008 0.164 0.640
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.5830 0.70760 0.000 0.252 0.224 0.000 0.520 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.2001 0.64325 0.000 0.000 0.912 0.000 0.048 0.040
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.3948 0.61077 0.000 0.000 0.000 0.748 0.064 0.188
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.1219 0.64218 0.000 0.948 0.004 0.000 0.048 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0622 0.64224 0.000 0.980 0.000 0.000 0.008 0.012
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.6843 0.15960 0.000 0.192 0.096 0.004 0.196 0.512
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.1116 0.72199 0.004 0.000 0.000 0.960 0.028 0.008
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.6661 0.69276 0.000 0.376 0.192 0.004 0.392 0.036
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.2942 0.64482 0.000 0.032 0.836 0.000 0.132 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.7213 0.00035 0.180 0.000 0.000 0.372 0.116 0.332
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.1082 0.65838 0.000 0.000 0.956 0.000 0.040 0.004
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#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.7020 0.62245 0.000 0.352 0.184 0.004 0.388 0.072
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5188 0.30307 0.000 0.544 0.024 0.004 0.036 0.392
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.6513 0.16401 0.000 0.468 0.204 0.000 0.288 0.040
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2553 0.61617 0.000 0.848 0.008 0.000 0.144 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3271 0.55054 0.000 0.760 0.008 0.000 0.232 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3245 0.64586 0.000 0.000 0.000 0.800 0.028 0.172
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 3 0.6984 0.02293 0.000 0.144 0.440 0.000 0.300 0.116
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.1934 0.71373 0.040 0.000 0.000 0.916 0.044 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.6785 0.66991 0.000 0.372 0.184 0.000 0.384 0.060
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.5911 0.29754 0.000 0.016 0.532 0.000 0.168 0.284
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2201 0.71114 0.004 0.000 0.000 0.904 0.036 0.056
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.83384 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.5061 0.02744 0.000 0.076 0.496 0.000 0.428 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.1732 0.71563 0.004 0.000 0.000 0.920 0.072 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0865 0.66375 0.000 0.000 0.964 0.000 0.036 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 6 0.7074 0.08593 0.000 0.092 0.248 0.000 0.232 0.428
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2302 0.62455 0.000 0.872 0.008 0.000 0.120 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.6040 0.12748 0.000 0.192 0.512 0.000 0.280 0.016
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3888 0.46256 0.000 0.672 0.016 0.000 0.312 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2278 0.62058 0.000 0.868 0.004 0.000 0.128 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.3566 0.59406 0.000 0.056 0.788 0.000 0.156 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3595 0.53286 0.000 0.036 0.780 0.000 0.180 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.4190 0.44574 0.000 0.000 0.692 0.000 0.048 0.260
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4203 0.56861 0.000 0.772 0.088 0.000 0.024 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["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 17420 rows and 500 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 1.000 0.985 0.994 0.4731 0.528 0.528
#> 3 3 0.616 0.490 0.720 0.3001 0.781 0.601
#> 4 4 0.786 0.803 0.918 0.1444 0.780 0.494
#> 5 5 0.705 0.673 0.838 0.0981 0.848 0.550
#> 6 6 0.688 0.654 0.795 0.0479 0.912 0.652
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.994 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.994 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.994 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.994 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.0000 0.994 1.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.994 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.994 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.994 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.994 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.994 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.994 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.994 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.994 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.994 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.994 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.994 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.994 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.994 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.994 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.994 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.994 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.994 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.994 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.994 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.994 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.994 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.994 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.994 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.1843 0.966 0.028 0.972
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.994 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.994 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.994 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.994 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.994 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.994 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.994 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.994 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.994 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.994 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.994 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.994 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.994 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.994 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.994 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.994 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.994 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0000 0.994 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.994 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.994 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.994 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.994 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.6048 0.829 0.852 0.148
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.994 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.0000 0.994 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.994 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.994 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.994 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.994 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.994 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.0000 0.994 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.994 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.994 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.994 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.994 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.994 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.994 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.994 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.994 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.994 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.994 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.994 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.994 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.994 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.994 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.994 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.994 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.4022 0.912 0.920 0.080
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.994 0.000 1.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.994 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.994 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.994 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.994 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.994 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.994 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.994 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.994 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.994 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.994 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.994 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.994 0.000 1.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.5519 0.855 0.872 0.128
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.994 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.994 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.994 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.994 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.9209 0.499 0.664 0.336
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.994 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.994 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.994 0.000 1.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.994 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.994 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.994 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.994 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.994 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0000 0.994 1.000 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.994 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0376 0.991 0.004 0.996
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.994 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.994 1.000 0.000
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cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.892498 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2878 0.846280 0.904 0.000 0.096
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.892498 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.6299 0.630812 0.000 0.524 0.476
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6286 -0.346455 0.464 0.000 0.536
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5621 0.488816 0.000 0.692 0.308
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.892498 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.6280 0.649402 0.000 0.540 0.460
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.892498 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.892498 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.7188 0.404786 0.492 0.484 0.024
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.6505 0.434429 0.528 0.004 0.468
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.326820 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0424 0.890800 0.992 0.000 0.008
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.6267 0.652587 0.000 0.548 0.452
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6280 0.649402 0.000 0.540 0.460
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.1411 0.877791 0.964 0.000 0.036
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.6299 0.630812 0.000 0.524 0.476
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.1860 0.420256 0.000 0.052 0.948
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.6280 0.649402 0.000 0.540 0.460
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.1031 0.311027 0.000 0.976 0.024
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.6305 -0.552238 0.000 0.484 0.516
#> C2F905E0-1D20-4582-8656-A2022521ED06 3 0.6274 -0.481024 0.000 0.456 0.544
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.892498 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.6260 0.651538 0.000 0.552 0.448
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.6235 0.645138 0.000 0.564 0.436
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.6286 0.645976 0.000 0.536 0.464
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0424 0.322214 0.000 0.992 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.4963 0.084048 0.008 0.792 0.200
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.6280 0.649402 0.000 0.540 0.460
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0747 0.316797 0.000 0.984 0.016
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 3 0.6309 -0.395656 0.496 0.000 0.504
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.5098 0.115805 0.000 0.248 0.752
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.2356 0.401698 0.000 0.072 0.928
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0424 0.438452 0.000 0.008 0.992
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.892498 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.6307 0.612043 0.000 0.512 0.488
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.6225 0.642353 0.000 0.568 0.432
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.892498 1.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.1163 0.307547 0.000 0.972 0.028
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.6291 0.641622 0.000 0.532 0.468
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.6235 0.645138 0.000 0.564 0.436
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.6267 0.652587 0.000 0.548 0.452
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 3 0.5098 0.121612 0.000 0.248 0.752
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.892498 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 3 0.6299 -0.567799 0.000 0.476 0.524
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.9556 -0.254564 0.196 0.432 0.372
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0592 0.437807 0.000 0.012 0.988
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.892498 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.6309 -0.441606 0.000 0.500 0.500
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.4750 0.170044 0.000 0.216 0.784
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.1163 0.872602 0.972 0.000 0.028
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.892498 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.6307 -0.387350 0.488 0.000 0.512
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.1964 0.867655 0.944 0.000 0.056
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 3 0.6008 -0.235456 0.000 0.372 0.628
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0424 0.890800 0.992 0.000 0.008
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.6244 0.647603 0.000 0.560 0.440
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 3 0.0747 0.434665 0.000 0.016 0.984
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.6284 0.634748 0.680 0.016 0.304
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.892498 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.6299 0.433898 0.524 0.000 0.476
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.6286 0.645976 0.000 0.536 0.464
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0424 0.890800 0.992 0.000 0.008
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0424 0.890800 0.992 0.000 0.008
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.6267 0.652587 0.000 0.548 0.452
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.6307 0.612043 0.000 0.512 0.488
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.892498 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0424 0.890800 0.992 0.000 0.008
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.0000 0.439068 0.000 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.3752 0.809280 0.856 0.000 0.144
#> 231614D1-4FD6-455D-A65D-364599F6167D 3 0.6291 -0.512068 0.000 0.468 0.532
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.892498 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.892498 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.6079 0.526182 0.000 0.612 0.388
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.3192 0.354246 0.000 0.888 0.112
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0237 0.890890 0.996 0.004 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0424 0.322214 0.000 0.992 0.008
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.892498 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.6192 0.632804 0.000 0.580 0.420
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 3 0.6359 -0.221246 0.008 0.364 0.628
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.6252 0.485406 0.556 0.444 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.892498 1.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 3 0.6647 -0.479745 0.008 0.452 0.540
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.892498 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.892498 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.892498 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 3 0.6291 -0.511903 0.000 0.468 0.532
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.4121 0.793214 0.832 0.000 0.168
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.6505 0.639581 0.004 0.528 0.468
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.2173 0.427517 0.048 0.008 0.944
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.6267 0.652587 0.000 0.548 0.452
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 3 0.6307 -0.380964 0.488 0.000 0.512
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 3 0.5098 0.119907 0.000 0.248 0.752
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 3 0.6359 -0.221246 0.008 0.364 0.628
#> 54835A82-ED8A-440C-B092-743CECBD1528 3 0.8463 0.136675 0.444 0.088 0.468
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.892498 1.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.6267 0.652587 0.000 0.548 0.452
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.6483 0.650387 0.004 0.544 0.452
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 3 0.6062 -0.274292 0.000 0.384 0.616
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.892498 1.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.6286 0.645976 0.000 0.536 0.464
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.6235 0.645138 0.000 0.564 0.436
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.1529 0.295736 0.000 0.960 0.040
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.6192 0.507535 0.580 0.000 0.420
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.7164 0.451808 0.524 0.452 0.024
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 3 0.1031 0.433633 0.000 0.024 0.976
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.6062 -0.276554 0.000 0.384 0.616
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.6027 0.663197 0.712 0.272 0.016
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.892498 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.6291 0.641622 0.000 0.532 0.468
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.6079 0.548841 0.612 0.388 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.892498 1.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.6280 0.588903 0.000 0.540 0.460
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.6280 0.649402 0.000 0.540 0.460
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.6280 0.450735 0.540 0.000 0.460
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.0000 0.892498 1.000 0.000 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.7013 0.480545 0.548 0.432 0.020
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.6260 0.651538 0.000 0.552 0.448
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.4887 0.465167 0.000 0.772 0.228
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.7159 0.456829 0.528 0.448 0.024
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.4974 0.044174 0.000 0.764 0.236
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.6267 0.652587 0.000 0.548 0.452
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 3 0.6008 -0.235456 0.000 0.372 0.628
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.6267 0.652587 0.000 0.548 0.452
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 3 0.1031 0.433633 0.000 0.024 0.976
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0424 0.889470 0.992 0.008 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.892498 1.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.5062 0.101886 0.016 0.800 0.184
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 3 0.1163 0.431895 0.000 0.028 0.972
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.6307 0.612043 0.000 0.512 0.488
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.6267 0.652587 0.000 0.548 0.452
#> F1565477-7479-4777-BD07-C6480B421166 3 0.5497 -0.000948 0.000 0.292 0.708
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.6267 0.652587 0.000 0.548 0.452
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.6307 0.612043 0.000 0.512 0.488
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.6235 0.645138 0.000 0.564 0.436
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 3 0.0000 0.439068 0.000 0.000 1.000
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 3 0.0747 0.436304 0.000 0.016 0.984
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0000 0.892498 1.000 0.000 0.000
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.2165 0.867391 0.936 0.000 0.064
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.892498 1.000 0.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.6267 0.652587 0.000 0.548 0.452
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.3619 0.402835 0.000 0.864 0.136
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 3 0.6267 -0.118735 0.000 0.452 0.548
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.892498 1.000 0.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.892498 1.000 0.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 3 0.6267 -0.324561 0.452 0.000 0.548
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0892 0.887232 0.980 0.000 0.020
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0000 0.892498 1.000 0.000 0.000
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.6280 0.649402 0.000 0.540 0.460
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.6280 0.649402 0.000 0.540 0.460
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.5905 0.571009 0.000 0.648 0.352
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 1 0.0592 0.889791 0.988 0.000 0.012
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 1 0.0424 0.890800 0.992 0.000 0.008
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 3 0.6302 -0.373095 0.480 0.000 0.520
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.6260 0.651538 0.000 0.552 0.448
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.6274 0.651307 0.000 0.544 0.456
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 2 0.6260 0.651538 0.000 0.552 0.448
#> 7475BE15-F19F-4C98-B729-409A97F6A025 2 0.1411 0.299889 0.000 0.964 0.036
#> B2922217-970B-4E13-9E4E-531B80D5E62C 1 0.0000 0.892498 1.000 0.000 0.000
#> AB4D330F-6916-48DE-AF36-D00237C16020 2 0.6291 0.641622 0.000 0.532 0.468
#> 7FE613B0-A54B-4EB8-9353-DB1A34A04EE9 3 0.5621 -0.050335 0.000 0.308 0.692
#> 3BF09B08-8A78-466E-9591-8784B464FC8A 2 0.6267 0.652587 0.000 0.548 0.452
#> FB6DF66B-78C8-46C0-AC38-12827F9CEE1E 2 0.5431 0.510219 0.000 0.716 0.284
#> 3FFCB13B-6E8C-49E8-835A-F1AD78A1108C 2 0.6307 0.611635 0.000 0.512 0.488
#> 111E8106-FA71-4E3A-AE6F-9962FA2D81B1 1 0.1411 0.880639 0.964 0.000 0.036
#> CF674380-93D3-47C5-A5D3-53413155C0A1 2 0.6299 0.630812 0.000 0.524 0.476
#> 6934281D-C912-44C8-928D-91F5B0E1E5B0 2 0.5926 -0.093359 0.000 0.644 0.356
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#> DB90FB7F-C1D7-44AF-9A6B-400EE8541109 3 0.6299 0.031874 0.476 0.000 0.524
#> F8E79C86-05B7-476C-9361-23C9C8FEB80C 2 0.6307 0.612043 0.000 0.512 0.488
#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.6286 0.645976 0.000 0.536 0.464
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.6302 0.633382 0.000 0.520 0.480
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.6192 0.632772 0.000 0.580 0.420
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.6308 0.603218 0.000 0.508 0.492
#> C0133A01-0F93-4306-954E-A725AE8B56C3 3 0.6881 -0.183745 0.388 0.020 0.592
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.1529 0.295501 0.000 0.960 0.040
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 3 0.2356 0.410356 0.000 0.072 0.928
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.0000 0.892498 1.000 0.000 0.000
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.5988 0.515606 0.000 0.632 0.368
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.6682 0.602965 0.008 0.504 0.488
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.6252 0.649796 0.000 0.556 0.444
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.4842 0.065956 0.000 0.776 0.224
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.6302 0.625201 0.000 0.520 0.480
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.892498 1.000 0.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.0000 0.326820 0.000 1.000 0.000
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.4654 0.764747 0.792 0.000 0.208
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.1643 0.873387 0.956 0.000 0.044
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 3 0.0747 0.435589 0.000 0.016 0.984
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.6299 0.630812 0.000 0.524 0.476
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.6308 0.597748 0.000 0.508 0.492
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 3 0.6180 -0.144532 0.416 0.000 0.584
#> 303ED788-B6CF-49EF-A607-505A7001E367 3 0.6309 -0.581521 0.000 0.496 0.504
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.5254 0.307971 0.000 0.264 0.736
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 3 0.6045 -0.261623 0.000 0.380 0.620
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.1765 0.291562 0.004 0.956 0.040
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.892498 1.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.6299 0.630812 0.000 0.524 0.476
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.6274 0.651350 0.000 0.544 0.456
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.4702 0.221605 0.000 0.212 0.788
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.6267 0.652587 0.000 0.548 0.452
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0892 0.887232 0.980 0.000 0.020
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.2356 0.858617 0.928 0.000 0.072
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.892498 1.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.6267 0.652587 0.000 0.548 0.452
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 3 0.1964 0.415643 0.000 0.056 0.944
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.5178 0.707446 0.744 0.000 0.256
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.6280 0.649402 0.000 0.540 0.460
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.6483 0.473015 0.544 0.452 0.004
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 3 0.0747 0.435185 0.000 0.016 0.984
#> 41445787-7763-458C-9FC9-744922C0FD8F 3 0.6816 -0.365446 0.472 0.012 0.516
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.6204 -0.112060 0.000 0.424 0.576
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.6307 0.612043 0.000 0.512 0.488
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.892498 1.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 3 0.6260 -0.459877 0.000 0.448 0.552
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 3 0.5291 0.070008 0.000 0.268 0.732
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.1031 0.311027 0.000 0.976 0.024
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 3 0.3816 0.396200 0.148 0.000 0.852
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.6307 0.612043 0.000 0.512 0.488
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.1031 0.885780 0.976 0.000 0.024
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.6267 0.652587 0.000 0.548 0.452
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.6267 0.652587 0.000 0.548 0.452
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.4399 0.226615 0.000 0.188 0.812
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.892498 1.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 3 0.6309 -0.590969 0.000 0.500 0.500
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.892498 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.6267 0.652587 0.000 0.548 0.452
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.6267 0.652587 0.000 0.548 0.452
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.6307 0.612043 0.000 0.512 0.488
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.7295 0.577642 0.028 0.488 0.484
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.6286 0.645976 0.000 0.536 0.464
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 3 0.6291 -0.511903 0.000 0.468 0.532
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.892498 1.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.6280 0.649402 0.000 0.540 0.460
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.6280 0.649402 0.000 0.540 0.460
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 3 0.2261 0.405872 0.000 0.068 0.932
#> C978676F-8698-4A0E-9983-F3F8C3224F55 3 0.6669 -0.521085 0.008 0.468 0.524
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.892498 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.6267 0.652587 0.000 0.548 0.452
#> B3E9A4C3-E877-4505-8695-960738A127FD 3 0.6291 -0.511903 0.000 0.468 0.532
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.892498 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.0000 0.439068 0.000 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2356 0.850935 0.928 0.072 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.0747 0.437444 0.000 0.016 0.984
#> CFBE0BCC-D658-4098-8C40-773536AC474E 3 0.6307 -0.562248 0.000 0.488 0.512
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.1031 0.311027 0.000 0.976 0.024
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.8389 -0.155361 0.092 0.536 0.372
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.6305 0.618871 0.000 0.516 0.484
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.6267 0.652587 0.000 0.548 0.452
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.4235 0.782484 0.824 0.000 0.176
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.6779 -0.317075 0.444 0.012 0.544
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.6302 0.062712 0.000 0.520 0.480
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.0000 0.439068 0.000 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0424 0.322214 0.000 0.992 0.008
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.6291 0.641622 0.000 0.532 0.468
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.6260 0.651538 0.000 0.552 0.448
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 3 0.1753 0.421474 0.000 0.048 0.952
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.5541 0.699505 0.740 0.008 0.252
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.892498 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.6489 0.468004 0.540 0.456 0.004
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.6280 0.649402 0.000 0.540 0.460
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.326820 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 3 0.1860 0.418878 0.000 0.052 0.948
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.4504 0.764917 0.804 0.000 0.196
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.5560 0.673409 0.700 0.000 0.300
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.1031 0.885780 0.976 0.000 0.024
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.6286 0.461383 0.536 0.464 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.6267 0.652587 0.000 0.548 0.452
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.6286 0.645976 0.000 0.536 0.464
#> 397C8251-A0C6-40DC-AB16-86881797473B 3 0.6008 -0.235456 0.000 0.372 0.628
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 3 0.6291 -0.351824 0.468 0.000 0.532
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.892498 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5016 0.474498 0.000 0.760 0.240
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4605 0.261954 0.000 0.204 0.796
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.892498 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 3 0.7107 -0.173944 0.036 0.340 0.624
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.6026 0.593610 0.000 0.624 0.376
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.892498 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.6267 0.652587 0.000 0.548 0.452
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 3 0.6625 -0.447694 0.008 0.440 0.552
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.0892 0.435245 0.000 0.020 0.980
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.6062 0.570883 0.616 0.000 0.384
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.892498 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6008 -0.104166 0.000 0.628 0.372
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.892498 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.892498 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.2261 0.853830 0.932 0.068 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.6267 0.652587 0.000 0.548 0.452
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.6274 0.650607 0.000 0.544 0.456
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3752 0.814145 0.856 0.000 0.144
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.6307 0.612043 0.000 0.512 0.488
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6168 -0.236039 0.412 0.000 0.588
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.892498 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.2066 0.407265 0.000 0.060 0.940
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.1753 0.415853 0.000 0.048 0.952
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.5497 0.680017 0.708 0.000 0.292
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.4702 0.075514 0.000 0.788 0.212
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.5621 0.531086 0.000 0.692 0.308
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.8937 -0.199344 0.124 0.448 0.428
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.6676 0.624149 0.008 0.516 0.476
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.5138 0.724370 0.748 0.000 0.252
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3941 0.805285 0.844 0.000 0.156
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.6274 0.651307 0.000 0.544 0.456
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.5905 -0.090396 0.000 0.648 0.352
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.6682 0.602965 0.008 0.504 0.488
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.6244 -0.289482 0.440 0.000 0.560
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.6267 0.652587 0.000 0.548 0.452
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.6309 0.594812 0.000 0.504 0.496
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.6305 0.618625 0.000 0.516 0.484
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.5254 0.709772 0.736 0.000 0.264
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4002 0.416992 0.000 0.840 0.160
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.892498 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.6307 0.612043 0.000 0.512 0.488
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.1031 0.311027 0.000 0.976 0.024
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0892 0.887232 0.980 0.000 0.020
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.892498 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.6280 0.649402 0.000 0.540 0.460
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.892498 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1753 0.351515 0.000 0.952 0.048
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.1289 0.303880 0.000 0.968 0.032
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 3 0.6307 -0.562082 0.000 0.488 0.512
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.6299 0.598582 0.000 0.524 0.476
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6286 0.645976 0.000 0.536 0.464
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 3 0.6252 -0.449142 0.000 0.444 0.556
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.6267 0.652587 0.000 0.548 0.452
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3551 0.399573 0.000 0.868 0.132
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0237 0.324551 0.000 0.996 0.004
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.1753 0.417642 0.000 0.048 0.952
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2973 0.7833 0.856 0.000 0.000 0.144
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.4585 0.5019 0.000 0.668 0.332 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9334 0.000 1.000 0.000 0.000
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#> 5E825B8D-F90B-448D-8472-90B5258D6553 3 0.4866 0.3328 0.000 0.404 0.596 0.000
#> 476E8F79-2F9B-4EF8-9A91-3DF184AB71BA 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> DB90FB7F-C1D7-44AF-9A6B-400EE8541109 4 0.5256 0.3063 0.392 0.012 0.000 0.596
#> F8E79C86-05B7-476C-9361-23C9C8FEB80C 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 0DBC5E6B-7BBA-4083-9F99-2BC19D75F4E1 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> DBC68065-BBF0-4D9E-B5C6-6BD9960EF915 2 0.1792 0.8857 0.000 0.932 0.000 0.068
#> D5315D14-B91F-4F2B-8C7A-C83690E3D4B8 2 0.0592 0.9253 0.000 0.984 0.016 0.000
#> 89333723-A89A-4190-942C-5F28C76D36F0 2 0.3726 0.7135 0.000 0.788 0.000 0.212
#> C0133A01-0F93-4306-954E-A725AE8B56C3 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 4 0.3764 0.6023 0.000 0.216 0.000 0.784
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.3837 0.7020 0.000 0.776 0.224 0.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0921 0.9177 0.000 0.972 0.028 0.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 3 0.4250 0.5971 0.000 0.276 0.724 0.000
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 4 0.4477 0.4837 0.312 0.000 0.000 0.688
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.4382 0.5565 0.704 0.000 0.000 0.296
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 4 0.4193 0.5467 0.000 0.268 0.000 0.732
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.3486 0.7478 0.000 0.812 0.000 0.188
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.6423 0.5566 0.000 0.648 0.156 0.196
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 4 0.4500 0.4034 0.000 0.000 0.316 0.684
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.2704 0.8249 0.000 0.876 0.000 0.124
#> CEA8617F-0E70-43DC-8075-CA4698661303 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.4843 0.3187 0.000 0.604 0.000 0.396
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0188 0.9214 0.996 0.000 0.000 0.004
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.4855 0.3389 0.600 0.000 0.000 0.400
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.2589 0.8337 0.000 0.884 0.000 0.116
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.4713 0.3875 0.360 0.000 0.000 0.640
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 3 0.1302 0.8584 0.044 0.000 0.956 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 4 0.4898 0.3056 0.000 0.416 0.000 0.584
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.1940 0.8385 0.000 0.000 0.924 0.076
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0188 0.9314 0.000 0.996 0.000 0.004
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.3688 0.7192 0.000 0.792 0.000 0.208
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.4804 0.3513 0.000 0.616 0.000 0.384
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.1042 0.9174 0.008 0.972 0.000 0.020
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.3444 0.7527 0.000 0.816 0.000 0.184
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 4 0.3123 0.6800 0.000 0.156 0.000 0.844
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0188 0.9313 0.000 0.996 0.000 0.004
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.1474 0.8555 0.000 0.052 0.948 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.3801 0.7197 0.000 0.780 0.220 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.4961 0.1474 0.448 0.000 0.000 0.552
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.2530 0.7981 0.000 0.112 0.888 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.1389 0.7574 0.000 0.048 0.000 0.952
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0592 0.9253 0.000 0.984 0.016 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 4 0.1302 0.7634 0.000 0.044 0.000 0.956
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.4095 0.6981 0.792 0.000 0.192 0.016
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.0921 0.8714 0.028 0.000 0.972 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 4 0.4040 0.5924 0.000 0.248 0.000 0.752
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.4907 0.2220 0.580 0.000 0.000 0.420
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3444 0.6751 0.184 0.000 0.000 0.816
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0336 0.9185 0.992 0.000 0.000 0.008
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 3 0.0921 0.8730 0.028 0.000 0.972 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.4277 0.6001 0.000 0.720 0.000 0.280
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0469 0.9276 0.000 0.988 0.012 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 4 0.6507 0.2757 0.000 0.404 0.076 0.520
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4522 0.5177 0.000 0.680 0.000 0.320
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4661 0.4652 0.000 0.652 0.348 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0921 0.9150 0.000 0.972 0.000 0.028
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.1022 0.7685 0.000 0.032 0.000 0.968
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2011 0.7484 0.080 0.000 0.000 0.920
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.4522 0.5195 0.000 0.000 0.680 0.320
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.2742 0.8673 0.000 0.900 0.076 0.024
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.4985 0.1424 0.532 0.000 0.000 0.468
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.4888 0.3154 0.000 0.412 0.000 0.588
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.4898 0.3050 0.000 0.416 0.000 0.584
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.3649 0.6536 0.204 0.000 0.000 0.796
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0817 0.9203 0.000 0.976 0.024 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.4040 0.6400 0.000 0.000 0.752 0.248
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3610 0.6571 0.200 0.000 0.000 0.800
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.4898 0.2464 0.416 0.000 0.000 0.584
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.1389 0.8605 0.000 0.000 0.952 0.048
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.0000 0.7823 0.000 0.000 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2530 0.8543 0.000 0.896 0.100 0.004
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3726 0.6435 0.212 0.000 0.000 0.788
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0469 0.9276 0.000 0.988 0.012 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0188 0.9214 0.996 0.000 0.000 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9242 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.2760 0.7971 0.872 0.000 0.000 0.128
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1118 0.9128 0.000 0.964 0.036 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.4054 0.6850 0.000 0.188 0.796 0.016
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3311 0.7677 0.000 0.828 0.000 0.172
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9334 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0336 0.9296 0.000 0.992 0.008 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.8889 0.000 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.4585 0.4751 0.000 0.332 0.000 0.668
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
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#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.1341 0.86695 0.000 0.056 0.000 0.000 0.944
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1518 0.71071 0.004 0.944 0.004 0.000 0.048
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.6744 0.28597 0.260 0.356 0.000 0.384 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.4273 0.15320 0.000 0.552 0.000 0.000 0.448
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4283 -0.11309 0.000 0.544 0.000 0.456 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0290 0.86781 0.992 0.000 0.000 0.008 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.6424 0.31967 0.000 0.240 0.000 0.508 0.252
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.6472 0.28397 0.000 0.284 0.000 0.492 0.224
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4856 0.35428 0.028 0.388 0.000 0.584 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.83855 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0703 0.86544 0.000 0.000 0.000 0.024 0.976
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.3210 0.48613 0.000 0.000 0.212 0.788 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.3700 0.68442 0.008 0.240 0.000 0.000 0.752
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.5215 0.42779 0.056 0.352 0.000 0.592 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 2 0.6674 -0.27727 0.236 0.408 0.000 0.356 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.2127 0.83271 0.000 0.108 0.000 0.000 0.892
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.6579 0.11931 0.000 0.004 0.416 0.404 0.176
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.1012 0.87522 0.000 0.020 0.000 0.012 0.968
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4030 0.20574 0.000 0.648 0.000 0.352 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3229 0.68306 0.000 0.840 0.032 0.000 0.128
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3857 0.51984 0.000 0.688 0.000 0.000 0.312
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.4278 0.14107 0.000 0.548 0.000 0.000 0.452
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 2 0.4367 0.15415 0.008 0.620 0.000 0.372 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.5476 0.59789 0.000 0.184 0.160 0.000 0.656
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1043 0.86676 0.960 0.000 0.000 0.040 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.1121 0.85368 0.000 0.000 0.000 0.044 0.956
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0000 0.83855 0.000 0.000 1.000 0.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.1544 0.86291 0.932 0.000 0.000 0.068 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0324 0.86712 0.992 0.004 0.000 0.004 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0703 0.87616 0.000 0.024 0.000 0.000 0.976
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.4402 0.73481 0.740 0.056 0.000 0.204 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.2535 0.83770 0.000 0.032 0.076 0.000 0.892
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.83855 0.000 0.000 1.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2648 0.67503 0.000 0.848 0.000 0.000 0.152
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3318 0.61720 0.000 0.800 0.192 0.000 0.008
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.3647 0.60847 0.004 0.764 0.000 0.004 0.228
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1894 0.71210 0.000 0.920 0.000 0.008 0.072
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1043 0.85630 0.000 0.000 0.000 0.040 0.960
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.1197 0.86955 0.000 0.048 0.000 0.000 0.952
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.0000 0.83855 0.000 0.000 1.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.4306 0.14371 0.000 0.492 0.000 0.508 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4332 0.6028 0.316 0.000 0.000 0.644 0.000 0.040
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.3649 0.7456 0.000 0.040 0.000 0.096 0.820 0.044
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5870 -0.1153 0.000 0.436 0.000 0.200 0.000 0.364
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.2673 0.7808 0.000 0.004 0.008 0.004 0.856 0.128
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3588 0.7130 0.804 0.020 0.000 0.144 0.000 0.032
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.4025 0.7308 0.000 0.048 0.000 0.096 0.796 0.060
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1327 0.8624 0.936 0.000 0.000 0.064 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.3460 0.5260 0.000 0.000 0.020 0.760 0.000 0.220
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0713 0.7533 0.000 0.028 0.972 0.000 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.1007 0.8757 0.956 0.000 0.000 0.044 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.3224 0.7636 0.000 0.040 0.000 0.004 0.824 0.132
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4610 0.5682 0.000 0.712 0.000 0.040 0.208 0.040
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.2457 0.6731 0.028 0.032 0.000 0.904 0.008 0.028
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.3959 0.7320 0.000 0.064 0.000 0.004 0.760 0.172
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.4788 0.5413 0.000 0.024 0.000 0.040 0.288 0.648
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1794 0.7977 0.000 0.016 0.000 0.028 0.932 0.024
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4202 0.6070 0.000 0.000 0.712 0.000 0.224 0.064
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4038 0.7077 0.056 0.804 0.000 0.004 0.076 0.060
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1844 0.7499 0.000 0.928 0.000 0.040 0.016 0.016
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0146 0.8942 0.996 0.000 0.000 0.004 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0820 0.8055 0.000 0.000 0.000 0.012 0.972 0.016
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.1590 0.8035 0.000 0.008 0.000 0.008 0.936 0.048
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.4671 0.6664 0.000 0.140 0.000 0.004 0.700 0.156
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4219 0.3731 0.000 0.000 0.592 0.000 0.388 0.020
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.1237 0.8095 0.000 0.020 0.000 0.020 0.956 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.4813 0.6702 0.000 0.024 0.708 0.004 0.072 0.192
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 6 0.3864 0.5262 0.004 0.004 0.000 0.344 0.000 0.648
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.2176 0.7317 0.000 0.896 0.000 0.024 0.000 0.080
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4419 0.6887 0.000 0.752 0.000 0.028 0.080 0.140
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.4860 0.6224 0.000 0.128 0.000 0.216 0.000 0.656
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.2135 0.7976 0.872 0.000 0.000 0.128 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.4465 0.7050 0.000 0.096 0.000 0.084 0.764 0.056
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.2766 0.7777 0.000 0.020 0.000 0.004 0.852 0.124
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0146 0.8933 0.996 0.000 0.000 0.000 0.000 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.6054 -0.0196 0.004 0.400 0.000 0.004 0.412 0.180
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.3511 0.7484 0.000 0.048 0.000 0.004 0.800 0.148
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5847 0.1679 0.000 0.456 0.000 0.004 0.372 0.168
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.1564 0.7413 0.000 0.936 0.000 0.040 0.000 0.024
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.1844 0.7376 0.000 0.924 0.004 0.048 0.000 0.024
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.5254 0.0968 0.032 0.000 0.460 0.036 0.000 0.472
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.5066 0.6187 0.000 0.176 0.000 0.188 0.000 0.636
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0363 0.8919 0.988 0.000 0.000 0.012 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 5 0.3314 0.6457 0.000 0.000 0.000 0.004 0.740 0.256
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 5 0.4914 0.3025 0.000 0.040 0.000 0.016 0.576 0.368
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.3789 0.2137 0.584 0.416 0.000 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.3804 0.4249 0.424 0.000 0.000 0.576 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.3668 0.5506 0.000 0.004 0.000 0.328 0.000 0.668
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.5410 0.4234 0.044 0.304 0.000 0.596 0.000 0.056
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1168 0.7492 0.000 0.956 0.000 0.016 0.000 0.028
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.3336 0.7051 0.160 0.016 0.000 0.808 0.000 0.016
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.7582 0.1753 0.000 0.384 0.180 0.004 0.236 0.196
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3655 0.6586 0.000 0.792 0.000 0.096 0.000 0.112
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 4 0.3988 0.6582 0.060 0.000 0.040 0.796 0.000 0.104
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.3974 0.6932 0.216 0.008 0.000 0.740 0.000 0.036
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.3655 0.5829 0.000 0.076 0.000 0.788 0.000 0.136
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.3069 0.7632 0.000 0.096 0.000 0.032 0.852 0.020
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 4 0.3562 0.6904 0.176 0.000 0.000 0.784 0.004 0.036
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1141 0.8707 0.948 0.000 0.000 0.052 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.2051 0.7928 0.000 0.004 0.000 0.004 0.896 0.096
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.5251 0.6480 0.000 0.108 0.000 0.124 0.696 0.072
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0146 0.8942 0.996 0.000 0.000 0.004 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.2340 0.7760 0.852 0.000 0.000 0.148 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 6 0.5284 0.3256 0.000 0.388 0.000 0.104 0.000 0.508
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.3241 0.6485 0.012 0.108 0.000 0.836 0.000 0.044
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.2206 0.7479 0.000 0.904 0.000 0.008 0.024 0.064
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.3198 0.5779 0.740 0.000 0.000 0.260 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.5559 0.1940 0.000 0.360 0.528 0.008 0.004 0.100
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.3628 0.6857 0.000 0.784 0.168 0.004 0.000 0.044
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.1375 0.8641 0.952 0.008 0.000 0.004 0.028 0.008
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 3 0.4879 0.6890 0.048 0.016 0.720 0.004 0.024 0.188
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0458 0.8905 0.984 0.000 0.000 0.016 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.5278 0.7088 0.000 0.136 0.032 0.012 0.696 0.124
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.1844 0.7456 0.000 0.928 0.000 0.040 0.016 0.016
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0603 0.8845 0.980 0.000 0.004 0.000 0.000 0.016
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.1863 0.8278 0.896 0.000 0.000 0.104 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.2428 0.7367 0.000 0.896 0.000 0.060 0.024 0.020
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.1075 0.8737 0.952 0.000 0.000 0.048 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.5397 0.6149 0.000 0.200 0.000 0.080 0.660 0.060
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.2240 0.6500 0.000 0.056 0.000 0.904 0.008 0.032
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.3640 0.7455 0.000 0.024 0.000 0.104 0.816 0.056
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 6 0.4834 0.5960 0.000 0.100 0.000 0.260 0.000 0.640
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.4951 0.4303 0.000 0.372 0.000 0.024 0.572 0.032
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.3435 0.6065 0.000 0.060 0.000 0.804 0.000 0.136
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3249 0.7059 0.000 0.836 0.000 0.060 0.008 0.096
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.2711 0.7294 0.000 0.876 0.000 0.080 0.020 0.024
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.5640 0.4635 0.652 0.092 0.000 0.004 0.064 0.188
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0146 0.8933 0.996 0.000 0.000 0.000 0.000 0.004
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.0862 0.8055 0.000 0.004 0.000 0.008 0.972 0.016
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.3263 0.7665 0.000 0.064 0.000 0.060 0.848 0.028
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.3482 0.7122 0.000 0.812 0.000 0.004 0.116 0.068
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0146 0.8933 0.996 0.000 0.000 0.000 0.000 0.004
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 5 0.5818 0.1010 0.000 0.388 0.000 0.004 0.448 0.160
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.1901 0.7986 0.000 0.008 0.000 0.004 0.912 0.076
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#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.1501 0.7994 0.000 0.000 0.000 0.000 0.924 0.076
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 6 0.5072 0.1962 0.000 0.044 0.000 0.016 0.424 0.516
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.3672 0.5199 0.368 0.000 0.000 0.632 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.2350 0.7279 0.000 0.880 0.000 0.000 0.100 0.020
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.3155 0.7655 0.000 0.036 0.000 0.004 0.828 0.132
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 5 0.5024 0.4641 0.000 0.340 0.000 0.000 0.572 0.088
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.4481 0.7130 0.000 0.068 0.000 0.096 0.764 0.072
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.2101 0.7472 0.016 0.920 0.000 0.040 0.008 0.016
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.2115 0.7938 0.000 0.020 0.000 0.032 0.916 0.032
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0984 0.7531 0.000 0.968 0.000 0.012 0.008 0.012
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0146 0.8933 0.996 0.000 0.000 0.000 0.000 0.004
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.1616 0.8050 0.000 0.020 0.000 0.000 0.932 0.048
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.2383 0.7880 0.000 0.052 0.000 0.028 0.900 0.020
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.4108 0.6145 0.000 0.744 0.000 0.164 0.000 0.092
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.4150 0.6798 0.000 0.788 0.000 0.084 0.080 0.048
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0363 0.8921 0.988 0.000 0.000 0.012 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.3573 0.7456 0.000 0.052 0.000 0.004 0.796 0.148
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.3456 0.7099 0.000 0.816 0.000 0.004 0.076 0.104
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.3782 0.4297 0.412 0.000 0.000 0.588 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3858 0.5681 0.000 0.740 0.000 0.044 0.000 0.216
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0260 0.8912 0.992 0.000 0.000 0.000 0.000 0.008
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5676 0.2253 0.000 0.520 0.000 0.284 0.000 0.196
#> CFBE0BCC-D658-4098-8C40-773536AC474E 5 0.4495 0.7025 0.000 0.060 0.000 0.112 0.760 0.068
#> B53929AB-C35E-44E0-9BB9-89029834D737 3 0.6200 0.5776 0.008 0.088 0.612 0.004 0.088 0.200
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.3568 0.6559 0.000 0.788 0.000 0.008 0.172 0.032
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.2833 0.7054 0.000 0.836 0.148 0.000 0.012 0.004
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.2795 0.7160 0.000 0.856 0.000 0.100 0.000 0.044
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.4212 0.6010 0.000 0.048 0.000 0.264 0.000 0.688
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 6 0.5703 0.3067 0.000 0.028 0.168 0.004 0.176 0.624
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 6 0.5006 0.3091 0.000 0.388 0.000 0.056 0.008 0.548
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.1958 0.7411 0.000 0.000 0.896 0.000 0.100 0.004
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.2497 0.7881 0.000 0.032 0.000 0.040 0.896 0.032
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.1753 0.7972 0.000 0.000 0.000 0.004 0.912 0.084
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1863 0.7344 0.000 0.920 0.000 0.036 0.000 0.044
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.0603 0.8901 0.980 0.000 0.000 0.016 0.000 0.004
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 3 0.2340 0.6632 0.148 0.000 0.852 0.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.1218 0.8080 0.000 0.028 0.000 0.004 0.956 0.012
#> F703B62A-687F-4084-BC52-DE28EDE411C3 3 0.0260 0.7599 0.000 0.000 0.992 0.000 0.008 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1552 0.7436 0.000 0.940 0.000 0.036 0.004 0.020
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.4663 0.6293 0.252 0.000 0.000 0.660 0.000 0.088
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3468 0.6197 0.004 0.088 0.000 0.816 0.000 0.092
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2597 0.7456 0.824 0.000 0.000 0.176 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.3892 0.6538 0.752 0.000 0.188 0.000 0.000 0.060
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.1138 0.8037 0.000 0.004 0.000 0.012 0.960 0.024
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.3621 0.6637 0.000 0.788 0.000 0.004 0.160 0.048
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0837 0.7521 0.000 0.972 0.000 0.020 0.004 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 6 0.4078 0.5534 0.000 0.024 0.000 0.320 0.000 0.656
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.1779 0.8021 0.000 0.016 0.000 0.000 0.920 0.064
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.4251 0.4609 0.000 0.000 0.000 0.028 0.348 0.624
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.1765 0.8350 0.904 0.000 0.000 0.096 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1536 0.7463 0.000 0.940 0.000 0.040 0.004 0.016
#> D709688D-812C-4903-B1CB-50C035FC97BB 3 0.7135 0.4016 0.000 0.128 0.472 0.004 0.220 0.176
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.1313 0.8034 0.000 0.004 0.000 0.028 0.952 0.016
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.1649 0.7540 0.000 0.936 0.000 0.008 0.016 0.040
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.4411 0.3783 0.000 0.628 0.000 0.020 0.012 0.340
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3927 0.5815 0.008 0.084 0.000 0.780 0.000 0.128
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 6 0.5328 0.4912 0.004 0.008 0.236 0.032 0.060 0.660
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.8945 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0547 0.8888 0.980 0.000 0.000 0.020 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0146 0.8933 0.996 0.000 0.000 0.000 0.000 0.004
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.3141 0.7682 0.000 0.040 0.000 0.004 0.832 0.124
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4955 0.5787 0.000 0.680 0.008 0.008 0.092 0.212
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4242 0.6154 0.032 0.148 0.000 0.764 0.000 0.056
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.5218 0.4781 0.000 0.600 0.000 0.004 0.280 0.116
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.5504 0.5616 0.000 0.232 0.000 0.204 0.000 0.564
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0146 0.8942 0.996 0.000 0.000 0.004 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.4573 0.5452 0.000 0.100 0.000 0.008 0.180 0.712
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.5051 0.5653 0.000 0.208 0.000 0.008 0.128 0.656
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.2384 0.6475 0.000 0.056 0.000 0.896 0.008 0.040
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.0865 0.8041 0.000 0.000 0.000 0.000 0.964 0.036
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.5844 0.1311 0.000 0.000 0.468 0.324 0.000 0.208
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.6118 0.5292 0.044 0.192 0.000 0.004 0.584 0.176
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.3616 0.5933 0.000 0.132 0.000 0.792 0.000 0.076
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5525 0.4275 0.040 0.256 0.000 0.616 0.000 0.088
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.4357 0.7047 0.004 0.084 0.000 0.004 0.736 0.172
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.5507 0.4576 0.000 0.000 0.172 0.016 0.196 0.616
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.5003 0.6620 0.000 0.064 0.000 0.148 0.712 0.076
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5348 0.3454 0.000 0.576 0.000 0.272 0.000 0.152
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2639 0.7390 0.000 0.892 0.044 0.008 0.040 0.016
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3065 0.6873 0.000 0.820 0.000 0.000 0.152 0.028
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.5775 0.3329 0.000 0.504 0.000 0.004 0.320 0.172
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4835 0.3303 0.000 0.352 0.000 0.580 0.000 0.068
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.6237 0.5292 0.000 0.120 0.076 0.004 0.584 0.216
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1007 0.8757 0.956 0.000 0.000 0.044 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 5 0.2375 0.7872 0.000 0.016 0.000 0.020 0.896 0.068
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2848 0.7285 0.000 0.008 0.828 0.000 0.004 0.160
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.2048 0.8116 0.880 0.000 0.000 0.120 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0146 0.8942 0.996 0.000 0.000 0.004 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1871 0.7983 0.000 0.032 0.000 0.016 0.928 0.024
#> E80C7EE2-1220-4070-ACB1-276763318139 4 0.6012 0.5798 0.268 0.112 0.000 0.572 0.004 0.044
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.3742 0.7414 0.000 0.040 0.008 0.004 0.788 0.160
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0000 0.7596 0.000 0.000 1.000 0.000 0.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4411 0.6352 0.000 0.728 0.000 0.004 0.120 0.148
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.2772 0.6834 0.000 0.816 0.180 0.000 0.000 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2724 0.7325 0.000 0.876 0.000 0.016 0.076 0.032
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0767 0.7535 0.000 0.976 0.000 0.012 0.008 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.1897 0.7962 0.000 0.004 0.000 0.004 0.908 0.084
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.2858 0.8043 0.000 0.024 0.024 0.048 0.884 0.020
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3387 0.7214 0.000 0.012 0.808 0.004 0.016 0.160
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.4780 0.4143 0.000 0.288 0.000 0.012 0.056 0.644
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.293 0.661 0.834 0.4143 0.522 0.522
#> 3 3 0.399 0.623 0.812 0.4334 0.702 0.501
#> 4 4 0.432 0.466 0.714 0.1429 0.862 0.669
#> 5 5 0.507 0.604 0.726 0.0989 0.818 0.494
#> 6 6 0.581 0.591 0.751 0.0451 0.939 0.752
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.82338 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.3274 0.70907 0.060 0.940
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.82338 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 1 0.9000 0.51042 0.684 0.316
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.5946 0.69873 0.144 0.856
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.2043 0.70765 0.032 0.968
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.82338 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 1 0.8443 0.60673 0.728 0.272
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.82338 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.82338 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0376 0.82456 0.996 0.004
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.6148 0.69713 0.152 0.848
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 1 0.9710 0.24896 0.600 0.400
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.3274 0.81859 0.940 0.060
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.9998 0.25039 0.492 0.508
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.0000 0.82338 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.9850 0.07929 0.572 0.428
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.9815 0.48536 0.420 0.580
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.70276 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 1 0.9087 0.49035 0.676 0.324
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.2778 0.70859 0.048 0.952
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 1 0.9881 0.07514 0.564 0.436
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.0000 0.82338 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.82338 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 1 0.9970 -0.08176 0.532 0.468
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.8661 0.64806 0.288 0.712
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 1 0.5178 0.80735 0.884 0.116
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.2043 0.70765 0.032 0.968
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.8763 0.54772 0.704 0.296
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.3431 0.82456 0.936 0.064
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.70276 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.8499 0.65359 0.276 0.724
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.9983 0.31905 0.476 0.524
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4815 0.70566 0.104 0.896
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.70276 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.82338 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 1 0.6973 0.74169 0.812 0.188
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.9710 0.52509 0.400 0.600
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0376 0.82450 0.996 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.8327 0.66114 0.264 0.736
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 1 0.5946 0.78902 0.856 0.144
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 1 1.0000 -0.23236 0.500 0.500
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.0938 0.82561 0.988 0.012
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.4298 0.81851 0.912 0.088
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.82338 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.5294 0.80681 0.880 0.120
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.0000 0.70276 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.70276 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.82338 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.70276 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.70276 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0672 0.82475 0.992 0.008
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.82338 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 2 0.0000 0.70276 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0672 0.82520 0.992 0.008
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 1 0.4690 0.81426 0.900 0.100
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3733 0.81770 0.928 0.072
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 1 0.9896 0.05293 0.560 0.440
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.9833 0.47782 0.424 0.576
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 2 0.0000 0.70276 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.82338 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 2 0.9393 0.58512 0.356 0.644
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 1 0.9963 -0.05106 0.536 0.464
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 2 0.0000 0.70276 0.000 1.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.8555 0.57422 0.720 0.280
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.3431 0.70887 0.064 0.936
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 1 0.6623 0.75995 0.828 0.172
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.82338 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.82338 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.70276 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.82338 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.9963 0.36113 0.464 0.536
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.82338 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.82338 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.9732 0.51792 0.404 0.596
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 1 0.4939 0.81063 0.892 0.108
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0672 0.82464 0.992 0.008
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 1 0.2603 0.82625 0.956 0.044
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.82338 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 1 0.2778 0.82595 0.952 0.048
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 1 0.0000 0.82338 1.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0376 0.82450 0.996 0.004
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.82338 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 1 0.0000 0.82338 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.82338 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.82338 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.9833 0.10837 0.576 0.424
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 1 0.5842 0.79113 0.860 0.140
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.9850 0.07929 0.572 0.428
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 1 0.6623 0.76202 0.828 0.172
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 2 0.0000 0.70276 0.000 1.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 1 0.5842 0.79122 0.860 0.140
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.9896 0.00758 0.560 0.440
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 1 0.5737 0.79648 0.864 0.136
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 1 0.0000 0.82338 1.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.0376 0.82438 0.996 0.004
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.82338 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.9686 0.53181 0.396 0.604
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 1 0.5842 0.79113 0.860 0.140
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.9944 0.38557 0.456 0.544
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.82338 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 1 0.8955 0.52428 0.688 0.312
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.9866 0.45687 0.432 0.568
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.70276 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 2 0.3431 0.70890 0.064 0.936
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.4690 0.81336 0.900 0.100
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.9087 0.61902 0.324 0.676
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.70276 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.9323 0.38502 0.652 0.348
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.82338 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 1 0.0000 0.82338 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.82338 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.82338 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.2043 0.70765 0.032 0.968
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 1 0.3584 0.82386 0.932 0.068
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 2 0.3431 0.70890 0.064 0.936
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.3114 0.82122 0.944 0.056
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.7299 0.71527 0.796 0.204
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.9909 0.42243 0.444 0.556
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 1 0.9491 0.36161 0.632 0.368
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.3733 0.82009 0.928 0.072
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.5294 0.70279 0.120 0.880
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 1 0.9977 -0.09607 0.528 0.472
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 1 0.5059 0.81127 0.888 0.112
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 1 0.5408 0.80367 0.876 0.124
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.9963 0.35874 0.464 0.536
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.3114 0.82122 0.944 0.056
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.82338 1.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 1 0.9833 0.13254 0.576 0.424
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.9044 0.62506 0.320 0.680
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 1 0.6343 0.77476 0.840 0.160
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.2043 0.70765 0.032 0.968
#> F1565477-7479-4777-BD07-C6480B421166 1 0.6623 0.76202 0.828 0.172
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 1 0.9000 0.51042 0.684 0.316
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 1 0.6623 0.76202 0.828 0.172
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.9661 0.53769 0.392 0.608
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 2 0.8499 0.65561 0.276 0.724
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 2 0.8955 0.63205 0.312 0.688
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 2 0.9833 0.47283 0.424 0.576
#> E7901BA6-1472-4395-8275-F54D06F71621 2 0.9393 0.58512 0.356 0.644
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.82338 1.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.9944 0.38656 0.456 0.544
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.8443 0.65724 0.272 0.728
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.0000 0.70276 0.000 1.000
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.82338 1.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.1414 0.82610 0.980 0.020
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 2 0.0000 0.70276 0.000 1.000
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.6973 0.72380 0.812 0.188
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 2 0.9881 0.44686 0.436 0.564
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.9460 0.57752 0.364 0.636
#> 1B05B466-761E-483E-9588-697EAF2E7386 1 0.5737 0.79407 0.864 0.136
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.9661 0.53769 0.392 0.608
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 2 0.9522 0.56431 0.372 0.628
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 2 0.9833 0.47283 0.424 0.576
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 2 0.0000 0.70276 0.000 1.000
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.9866 0.45636 0.432 0.568
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.9393 0.58718 0.356 0.644
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 2 0.9866 0.45687 0.432 0.568
#> 7475BE15-F19F-4C98-B729-409A97F6A025 2 0.9087 0.62023 0.324 0.676
#> B2922217-970B-4E13-9E4E-531B80D5E62C 1 0.0000 0.82338 1.000 0.000
#> AB4D330F-6916-48DE-AF36-D00237C16020 1 0.9000 0.51042 0.684 0.316
#> 7FE613B0-A54B-4EB8-9353-DB1A34A04EE9 1 0.5059 0.81127 0.888 0.112
#> 3BF09B08-8A78-466E-9591-8784B464FC8A 2 0.9608 0.55109 0.384 0.616
#> FB6DF66B-78C8-46C0-AC38-12827F9CEE1E 2 0.9775 0.50209 0.412 0.588
#> 3FFCB13B-6E8C-49E8-835A-F1AD78A1108C 1 0.0000 0.82338 1.000 0.000
#> 111E8106-FA71-4E3A-AE6F-9962FA2D81B1 2 0.9522 0.56431 0.372 0.628
#> CF674380-93D3-47C5-A5D3-53413155C0A1 1 0.9881 0.07514 0.564 0.436
#> 6934281D-C912-44C8-928D-91F5B0E1E5B0 2 0.2043 0.70765 0.032 0.968
#> 4AB3093F-31DF-4FCC-BD5F-CD2DA5882949 2 0.8499 0.65359 0.276 0.724
#> AB93CECB-C034-4B57-B913-6EB3E34E536F 2 0.2043 0.70765 0.032 0.968
#> 84357DE5-59E5-44A8-A769-89BB71823056 2 0.0672 0.70462 0.008 0.992
#> 57A76611-9DD1-4A90-AA67-0475D2DE7E16 1 0.0000 0.82338 1.000 0.000
#> 6D114A21-A539-4C72-B1A6-EDC2B878375B 1 0.0000 0.82338 1.000 0.000
#> 31B347CB-0B28-4B99-8493-E3A62C6D7A5B 1 0.2778 0.82639 0.952 0.048
#> 48469D58-87D6-4A56-A0EF-C6BAC88B8D4E 1 0.3584 0.81932 0.932 0.068
#> BC9DFF9D-B056-4740-819C-6EC39E3D7D5F 2 0.0000 0.70276 0.000 1.000
#> 170F08BD-DB7B-41A7-90FA-420DB0087CF8 1 0.0000 0.82338 1.000 0.000
#> 1C1609A0-29A8-465A-A4AB-C52A2550811F 1 0.6531 0.76444 0.832 0.168
#> 06E5E412-4813-454A-A122-E1470523C0A2 1 1.0000 -0.23236 0.500 0.500
#> 2FDF4F7A-FD2D-473B-AB8F-7E74C859C62B 2 0.1414 0.70652 0.020 0.980
#> 934A0046-C446-4C5C-AC7E-95D936061FB1 2 0.9635 0.54398 0.388 0.612
#> 013BFB22-CB5D-41D7-82A9-B4538A6C9DC3 2 0.0000 0.70276 0.000 1.000
#> CAEC664A-D584-49FD-9DA0-5FD95CD77195 1 0.4690 0.81426 0.900 0.100
#> 7D765956-EDC7-4423-8DCC-E14682F546AD 2 0.0000 0.70276 0.000 1.000
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#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.70276 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 1 0.5842 0.79113 0.860 0.140
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 2 0.9460 0.57373 0.364 0.636
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.82338 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.8608 0.57295 0.716 0.284
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 1 0.8861 0.54029 0.696 0.304
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.8763 0.64210 0.296 0.704
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.9970 -0.12013 0.532 0.468
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 1 0.6623 0.75995 0.828 0.172
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.82338 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.70276 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 2 0.0000 0.70276 0.000 1.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.9732 0.51792 0.404 0.596
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 1 0.4161 0.81913 0.916 0.084
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 2 0.9833 0.47283 0.424 0.576
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 1 0.5294 0.80552 0.880 0.120
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 1 0.5059 0.81127 0.888 0.112
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.9129 0.61628 0.328 0.672
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 2 0.0376 0.70383 0.004 0.996
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 1 0.6438 0.77042 0.836 0.164
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.5946 0.78084 0.856 0.144
#> 8FBB326D-E544-498E-8A47-8C8291063E14 1 0.5408 0.80232 0.876 0.124
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.9686 0.53181 0.396 0.604
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.70276 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 2 0.9866 0.45351 0.432 0.568
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 1 0.8555 0.58937 0.720 0.280
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.82338 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.9393 0.58674 0.356 0.644
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 1 0.4161 0.81913 0.916 0.084
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.8713 0.64578 0.292 0.708
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.0000 0.82338 1.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 1 0.9944 -0.02013 0.544 0.456
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 1 0.4161 0.81913 0.916 0.084
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0672 0.82475 0.992 0.008
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 1 0.3584 0.82386 0.932 0.068
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 1 0.5842 0.79099 0.860 0.140
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 1 0.8443 0.60689 0.728 0.272
#> C978676F-8698-4A0E-9983-F3F8C3224F55 1 0.0376 0.82445 0.996 0.004
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.82338 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 1 0.9393 0.39826 0.644 0.356
#> B3E9A4C3-E877-4505-8695-960738A127FD 1 0.8955 0.52428 0.688 0.312
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 2 0.9896 0.43435 0.440 0.560
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.8499 0.65561 0.276 0.724
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.82338 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.9710 0.52618 0.400 0.600
#> CFBE0BCC-D658-4098-8C40-773536AC474E 1 0.6623 0.76202 0.828 0.172
#> B53929AB-C35E-44E0-9BB9-89029834D737 1 0.5629 0.79905 0.868 0.132
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.0000 0.70276 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 1 0.3879 0.82191 0.924 0.076
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 1 0.4939 0.81009 0.892 0.108
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0376 0.82438 0.996 0.004
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 2 0.0000 0.70276 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.2043 0.70765 0.032 0.968
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.5946 0.69873 0.144 0.856
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 1 0.8016 0.65870 0.756 0.244
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 1 0.5629 0.79670 0.868 0.132
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.70276 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.9963 0.35874 0.464 0.536
#> C5B99B79-067A-48F9-95E4-35770562E686 2 0.3431 0.70890 0.064 0.936
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.82338 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.82338 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 1 0.8608 0.58184 0.716 0.284
#> F703B62A-687F-4084-BC52-DE28EDE411C3 1 0.9323 0.42680 0.652 0.348
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 1 0.5059 0.81127 0.888 0.112
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 2 0.3431 0.70890 0.064 0.936
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.5629 0.78563 0.868 0.132
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0938 0.82572 0.988 0.012
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0376 0.82450 0.996 0.004
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.9754 0.51017 0.408 0.592
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 1 0.6531 0.76668 0.832 0.168
#> 397C8251-A0C6-40DC-AB16-86881797473B 1 0.4298 0.81851 0.912 0.088
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.8499 0.65359 0.276 0.724
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.82338 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.9710 0.52395 0.400 0.600
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.70276 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.82338 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.5294 0.80663 0.880 0.120
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.5737 0.79705 0.864 0.136
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.82338 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.9815 0.48556 0.420 0.580
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 1 0.2236 0.82642 0.964 0.036
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.8763 0.64210 0.296 0.704
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 2 0.9393 0.58512 0.356 0.644
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.82338 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.9988 -0.16209 0.520 0.480
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.82338 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.82338 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.82338 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.9998 0.25039 0.492 0.508
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.5737 0.79648 0.864 0.136
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.82338 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.4562 0.81552 0.904 0.096
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.9710 0.52618 0.400 0.600
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.82338 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.70276 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.70276 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.9850 0.07929 0.572 0.428
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.9087 0.62023 0.324 0.676
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.8443 0.65724 0.272 0.728
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.0000 0.70276 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.0672 0.82529 0.992 0.008
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.4431 0.81118 0.908 0.092
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0376 0.82387 0.996 0.004
#> 51447C55-B00E-4013-AF02-5C35DAB19839 1 0.5946 0.78902 0.856 0.144
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.70276 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 1 0.5519 0.79981 0.872 0.128
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.9710 0.52618 0.400 0.600
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.4939 0.81009 0.892 0.108
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.4690 0.81426 0.900 0.100
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 0.4690 0.81426 0.900 0.100
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0672 0.82520 0.992 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.2423 0.82641 0.960 0.040
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.82338 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.1414 0.70652 0.020 0.980
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.9909 0.42098 0.444 0.556
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.9323 0.38502 0.652 0.348
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.82338 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.9775 0.50208 0.412 0.588
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.82338 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.9754 0.50980 0.408 0.592
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 1 0.9944 -0.03350 0.544 0.456
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 1 0.4690 0.81426 0.900 0.100
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.9909 0.42184 0.444 0.556
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.0000 0.82338 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.4562 0.81605 0.904 0.096
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.2236 0.70809 0.036 0.964
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.3274 0.82456 0.940 0.060
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 1 0.7528 0.70384 0.784 0.216
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.70276 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.7577 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.6308 0.3514 0.000 0.492 0.508
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.7577 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.6051 0.5182 0.292 0.696 0.012
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6204 -0.0187 0.000 0.576 0.424
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4555 0.8125 0.000 0.200 0.800
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.7577 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.6209 0.3379 0.368 0.628 0.004
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.7577 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.7577 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.1163 0.7609 0.972 0.028 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.6111 0.0682 0.000 0.604 0.396
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.5315 0.6406 0.216 0.772 0.012
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.3851 0.7196 0.860 0.136 0.004
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.4786 0.7413 0.112 0.844 0.044
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.2165 0.7565 0.936 0.064 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.4915 0.6810 0.184 0.804 0.012
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3589 0.7541 0.048 0.900 0.052
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.3941 0.8375 0.000 0.156 0.844
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5986 0.5330 0.284 0.704 0.012
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5431 0.7264 0.000 0.284 0.716
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5486 0.6791 0.196 0.780 0.024
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.1529 0.7603 0.960 0.040 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.7577 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.5235 0.7176 0.152 0.812 0.036
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4784 0.6124 0.004 0.796 0.200
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 1 0.6225 0.3746 0.568 0.432 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4750 0.7997 0.000 0.216 0.784
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6521 0.4250 0.340 0.644 0.016
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.5859 0.5442 0.656 0.344 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0237 0.8688 0.000 0.004 0.996
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.4121 0.6198 0.000 0.832 0.168
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.4174 0.7533 0.092 0.872 0.036
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.6521 -0.2687 0.004 0.504 0.492
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.4062 0.8344 0.000 0.164 0.836
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.7577 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.6495 -0.0028 0.460 0.536 0.004
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.2879 0.7411 0.024 0.924 0.052
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.2165 0.7558 0.936 0.064 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.5365 0.5414 0.004 0.744 0.252
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 1 0.6299 0.2579 0.524 0.476 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4563 0.7425 0.112 0.852 0.036
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.3482 0.7322 0.872 0.128 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.5882 0.5279 0.652 0.348 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.7577 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.6126 0.4411 0.600 0.400 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0237 0.8688 0.000 0.004 0.996
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.4062 0.8344 0.000 0.164 0.836
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.7577 1.000 0.000 0.000
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#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.3910 0.7110 0.020 0.876 0.104
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 1 0.5968 0.5110 0.636 0.364 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.4915 0.6314 0.012 0.804 0.184
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.1163 0.7603 0.972 0.028 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.5298 0.7077 0.164 0.804 0.032
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 1 0.5968 0.5100 0.636 0.364 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.2066 0.7583 0.940 0.060 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 1 0.5905 0.5327 0.648 0.352 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 1 0.6305 0.2333 0.516 0.484 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.6527 0.2366 0.404 0.588 0.008
#> C978676F-8698-4A0E-9983-F3F8C3224F55 1 0.2537 0.7513 0.920 0.080 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.7577 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.5956 0.5735 0.264 0.720 0.016
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.6890 0.4231 0.340 0.632 0.028
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 2 0.2297 0.7461 0.036 0.944 0.020
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.5318 0.6017 0.016 0.780 0.204
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.7577 1.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3764 0.7440 0.040 0.892 0.068
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.6309 -0.1539 0.496 0.504 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 1 0.6244 0.3547 0.560 0.440 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0237 0.8688 0.000 0.004 0.996
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 1 0.5497 0.6052 0.708 0.292 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 1 0.6192 0.4040 0.580 0.420 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.1860 0.7601 0.948 0.052 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0237 0.8688 0.000 0.004 0.996
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4291 0.8242 0.000 0.180 0.820
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.6204 -0.0187 0.000 0.576 0.424
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.6045 0.2931 0.380 0.620 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 1 0.6274 0.3177 0.544 0.456 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0592 0.8678 0.000 0.012 0.988
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.4479 0.7546 0.096 0.860 0.044
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.6309 0.3428 0.000 0.496 0.504
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.7577 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.7577 1.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.6282 0.4499 0.324 0.664 0.012
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.5884 0.5554 0.272 0.716 0.012
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 1 0.6111 0.4521 0.604 0.396 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 3 0.6309 0.3428 0.000 0.496 0.504
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.6410 0.3659 0.576 0.420 0.004
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2496 0.7542 0.928 0.068 0.004
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.2165 0.7558 0.936 0.064 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3237 0.7494 0.032 0.912 0.056
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 1 0.6309 0.1881 0.504 0.496 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 1 0.5882 0.5279 0.652 0.348 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.4121 0.6198 0.000 0.832 0.168
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.7577 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.2492 0.7392 0.016 0.936 0.048
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0237 0.8688 0.000 0.004 0.996
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.7577 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.6168 0.4254 0.588 0.412 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.6260 0.3398 0.552 0.448 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.7577 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.3583 0.7547 0.044 0.900 0.056
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 1 0.3941 0.7153 0.844 0.156 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.4861 0.6317 0.012 0.808 0.180
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 2 0.4324 0.6912 0.028 0.860 0.112
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.7577 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.4540 0.7351 0.124 0.848 0.028
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.7577 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.7577 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.7577 1.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.4786 0.7413 0.112 0.844 0.044
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.6252 0.3444 0.556 0.444 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0424 0.7577 0.992 0.008 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.6154 0.4354 0.592 0.408 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3764 0.7440 0.040 0.892 0.068
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.7577 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.3340 0.8477 0.000 0.120 0.880
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.4062 0.8344 0.000 0.164 0.836
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.4915 0.6810 0.184 0.804 0.012
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.4195 0.6820 0.012 0.852 0.136
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.5070 0.5727 0.004 0.772 0.224
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0237 0.8688 0.000 0.004 0.996
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.2625 0.7512 0.916 0.084 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.6104 0.5022 0.648 0.348 0.004
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.2165 0.7574 0.936 0.064 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 1 0.6280 0.2976 0.540 0.460 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0237 0.8688 0.000 0.004 0.996
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 1 0.6252 0.3496 0.556 0.444 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3764 0.7440 0.040 0.892 0.068
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.6192 0.4040 0.580 0.420 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.6180 0.4185 0.584 0.416 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 0.6180 0.4138 0.584 0.416 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.1753 0.7599 0.952 0.048 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.4555 0.6842 0.800 0.200 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0237 0.7562 0.996 0.004 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.5591 0.7094 0.000 0.304 0.696
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.3983 0.7580 0.068 0.884 0.048
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 2 0.5692 0.5693 0.268 0.724 0.008
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.7577 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3572 0.7519 0.040 0.900 0.060
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.7577 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.2550 0.7437 0.024 0.936 0.040
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5236 0.7075 0.168 0.804 0.028
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 1 0.6180 0.4138 0.584 0.416 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4075 0.7604 0.072 0.880 0.048
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.1753 0.7596 0.952 0.048 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.6111 0.4557 0.604 0.396 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5706 0.6907 0.000 0.320 0.680
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.5733 0.5713 0.676 0.324 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.6154 0.1975 0.408 0.592 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.1964 0.8615 0.000 0.056 0.944
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.6382 0.11983 0.000 0.080 0.340 0.580
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.6287 0.50316 0.176 0.676 0.004 0.144
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.7921 0.29691 0.000 0.332 0.320 0.348
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4540 0.72194 0.000 0.196 0.772 0.032
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.6798 0.43391 0.224 0.604 0.000 0.172
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.2610 0.73318 0.900 0.012 0.000 0.088
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.7283 0.39226 0.000 0.208 0.256 0.536
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.5293 0.49114 0.100 0.748 0.000 0.152
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.4149 0.69374 0.804 0.028 0.000 0.168
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.3385 0.46763 0.056 0.884 0.012 0.048
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.4605 0.68516 0.800 0.092 0.000 0.108
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.7423 -0.25715 0.168 0.428 0.000 0.404
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.5111 0.24054 0.032 0.724 0.004 0.240
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.5021 0.70642 0.000 0.036 0.724 0.240
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.6109 0.50361 0.172 0.692 0.004 0.132
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.5062 0.58893 0.000 0.284 0.692 0.024
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.6881 0.26063 0.120 0.540 0.000 0.340
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.4036 0.70342 0.836 0.076 0.000 0.088
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.4136 0.48463 0.092 0.840 0.008 0.060
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4731 0.21543 0.000 0.780 0.160 0.060
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 1 0.7648 0.04126 0.400 0.392 0.000 0.208
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4538 0.69538 0.000 0.216 0.760 0.024
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.7862 -0.07627 0.280 0.332 0.000 0.388
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.7553 0.27630 0.476 0.308 0.000 0.216
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.4008 0.61813 0.000 0.244 0.000 0.756
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.5044 0.38276 0.060 0.764 0.004 0.172
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.7440 -0.07309 0.000 0.388 0.440 0.172
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.5083 0.69966 0.000 0.036 0.716 0.248
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0592 0.73619 0.984 0.000 0.000 0.016
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.7344 0.27110 0.300 0.512 0.000 0.188
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.2002 0.39106 0.000 0.936 0.020 0.044
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.2988 0.72463 0.876 0.012 0.000 0.112
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.5067 0.14275 0.000 0.736 0.216 0.048
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.7662 0.10981 0.344 0.436 0.000 0.220
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.2927 0.47231 0.068 0.900 0.008 0.024
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.5770 0.61866 0.712 0.148 0.000 0.140
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.7518 0.26699 0.476 0.320 0.000 0.204
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.7638 0.19925 0.448 0.332 0.000 0.220
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.5083 0.69966 0.000 0.036 0.716 0.248
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.3229 0.72953 0.880 0.048 0.000 0.072
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.2635 0.73124 0.904 0.020 0.000 0.076
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 1 0.7683 0.05795 0.400 0.384 0.000 0.216
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.6374 0.52827 0.644 0.128 0.000 0.228
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.6471 0.41927 0.132 0.652 0.004 0.212
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.5291 0.21637 0.032 0.700 0.004 0.264
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0779 0.73585 0.980 0.004 0.000 0.016
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.5605 0.61765 0.020 0.320 0.012 0.648
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.5409 0.47659 0.068 0.752 0.012 0.168
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0000 0.85166 0.000 0.000 1.000 0.000
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#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.7031 0.41828 0.552 0.152 0.000 0.296
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.7677 0.03476 0.372 0.412 0.000 0.216
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.2124 0.38712 0.000 0.932 0.028 0.040
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.5643 0.52924 0.024 0.428 0.000 0.548
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.6426 0.46223 0.288 0.620 0.004 0.088
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.3144 0.34176 0.000 0.884 0.072 0.044
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 1 0.7608 0.23348 0.456 0.328 0.000 0.216
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.6450 -0.01242 0.008 0.648 0.100 0.244
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.3621 0.71193 0.860 0.072 0.000 0.068
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.4396 0.48708 0.104 0.824 0.008 0.064
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 1 0.7608 0.23207 0.456 0.328 0.000 0.216
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.3198 0.72703 0.880 0.040 0.000 0.080
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 1 0.7588 0.26162 0.468 0.312 0.000 0.220
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.7647 0.13787 0.336 0.444 0.000 0.220
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.7644 0.33255 0.260 0.468 0.000 0.272
#> C978676F-8698-4A0E-9983-F3F8C3224F55 1 0.4901 0.67020 0.780 0.112 0.000 0.108
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.5979 0.50371 0.164 0.704 0.004 0.128
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.5749 0.49122 0.252 0.688 0.008 0.052
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.5815 0.52195 0.032 0.428 0.000 0.540
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.7103 -0.17498 0.012 0.564 0.112 0.312
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5290 0.12691 0.024 0.680 0.004 0.292
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.7659 0.16457 0.332 0.444 0.000 0.224
#> B53929AB-C35E-44E0-9BB9-89029834D737 1 0.7701 0.01885 0.392 0.388 0.000 0.220
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 1 0.7086 0.37759 0.548 0.292 0.000 0.160
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 1 0.7681 0.07143 0.404 0.380 0.000 0.216
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.3474 0.72185 0.868 0.064 0.000 0.068
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4182 0.73924 0.000 0.180 0.796 0.024
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.7921 0.29691 0.000 0.332 0.320 0.348
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.7004 0.40791 0.220 0.580 0.000 0.200
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.7670 0.05532 0.364 0.420 0.000 0.216
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0336 0.84861 0.000 0.008 0.992 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.5435 0.33947 0.064 0.728 0.004 0.204
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.6423 0.13425 0.000 0.084 0.336 0.580
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.1256 0.73602 0.964 0.008 0.000 0.028
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.6496 0.49888 0.204 0.652 0.004 0.140
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.5906 0.49847 0.152 0.700 0.000 0.148
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 1 0.7634 0.18903 0.444 0.340 0.000 0.216
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.6423 0.13425 0.000 0.084 0.336 0.580
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.7216 0.35007 0.508 0.156 0.000 0.336
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.3108 0.72410 0.872 0.016 0.000 0.112
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.2988 0.72463 0.876 0.012 0.000 0.112
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.3182 0.40143 0.012 0.892 0.032 0.064
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.7620 0.16694 0.324 0.456 0.000 0.220
#> 397C8251-A0C6-40DC-AB16-86881797473B 1 0.7518 0.26699 0.476 0.320 0.000 0.204
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4008 0.61813 0.000 0.244 0.000 0.756
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.1888 0.39128 0.000 0.940 0.016 0.044
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.7650 0.19717 0.448 0.328 0.000 0.224
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.7700 -0.00506 0.384 0.396 0.000 0.220
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.3392 0.41059 0.016 0.880 0.024 0.080
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 1 0.6110 0.58399 0.680 0.176 0.000 0.144
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.6868 -0.15638 0.012 0.572 0.088 0.328
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.5605 0.61765 0.020 0.320 0.012 0.648
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6896 -0.01702 0.104 0.544 0.004 0.348
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0921 0.73665 0.972 0.000 0.000 0.028
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.3385 0.46763 0.056 0.884 0.012 0.048
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.7717 0.00819 0.388 0.388 0.000 0.224
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1151 0.73633 0.968 0.008 0.000 0.024
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.7677 0.10284 0.412 0.372 0.000 0.216
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.5314 0.11468 0.024 0.676 0.004 0.296
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.4459 0.74930 0.000 0.032 0.780 0.188
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.5083 0.69966 0.000 0.036 0.716 0.248
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.7423 -0.25715 0.168 0.428 0.000 0.404
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.4669 0.27897 0.004 0.804 0.092 0.100
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.4880 0.17329 0.000 0.760 0.188 0.052
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.4906 0.67920 0.776 0.084 0.000 0.140
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.6811 0.46122 0.588 0.144 0.000 0.268
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3333 0.72482 0.872 0.040 0.000 0.088
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.7688 0.05666 0.364 0.416 0.000 0.220
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.85166 0.000 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.7679 0.01110 0.376 0.408 0.000 0.216
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5314 0.11468 0.024 0.676 0.004 0.296
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.7681 0.07143 0.404 0.380 0.000 0.216
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.7679 0.08596 0.408 0.376 0.000 0.216
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 0.7679 0.08100 0.408 0.376 0.000 0.216
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.2635 0.73124 0.904 0.020 0.000 0.076
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.6546 0.54127 0.636 0.192 0.000 0.172
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1022 0.73641 0.968 0.000 0.000 0.032
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.6403 0.56371 0.000 0.232 0.640 0.128
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.2405 0.43984 0.020 0.928 0.016 0.036
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 2 0.7811 -0.16932 0.252 0.380 0.000 0.368
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3304 0.39729 0.012 0.884 0.028 0.076
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0336 0.73408 0.992 0.000 0.000 0.008
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1635 0.39842 0.000 0.948 0.008 0.044
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.6420 0.39504 0.108 0.644 0.004 0.244
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 1 0.7679 0.08100 0.408 0.376 0.000 0.216
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5130 0.31871 0.044 0.740 0.004 0.212
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.4231 0.69729 0.824 0.080 0.000 0.096
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.7660 0.15354 0.428 0.356 0.000 0.216
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5925 0.55321 0.000 0.284 0.648 0.068
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.7474 0.32273 0.496 0.292 0.000 0.212
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.7199 0.36697 0.232 0.552 0.000 0.216
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.2002 0.83073 0.000 0.020 0.936 0.044
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0865 0.79641 0.972 0.024 0.000 0.004 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.6791 0.06083 0.000 0.016 0.316 0.484 0.184
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.4604 0.25342 0.012 0.680 0.000 0.016 0.292
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 5 0.7358 -0.14199 0.000 0.048 0.292 0.200 0.460
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.4268 0.69565 0.000 0.024 0.728 0.004 0.244
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.3997 0.52494 0.032 0.776 0.000 0.004 0.188
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.3205 0.75091 0.816 0.176 0.000 0.004 0.004
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.7674 0.27536 0.000 0.064 0.232 0.424 0.280
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.4182 0.05755 0.004 0.644 0.000 0.000 0.352
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.5519 0.67373 0.696 0.188 0.000 0.080 0.036
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.4504 0.60188 0.000 0.428 0.000 0.008 0.564
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.4306 0.16188 0.508 0.492 0.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.7247 0.53562 0.096 0.156 0.000 0.548 0.200
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.6300 0.62166 0.008 0.240 0.000 0.184 0.568
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.5485 0.68655 0.000 0.016 0.692 0.144 0.148
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4684 0.19663 0.012 0.664 0.000 0.016 0.308
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4904 0.57222 0.000 0.036 0.644 0.004 0.316
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.7270 -0.28385 0.020 0.360 0.000 0.284 0.336
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.4278 0.27277 0.548 0.452 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0609 0.79515 0.980 0.020 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.4796 0.52123 0.004 0.468 0.000 0.012 0.516
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.5564 0.65998 0.000 0.200 0.128 0.008 0.664
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.3096 0.73901 0.108 0.860 0.000 0.008 0.024
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4429 0.66280 0.000 0.028 0.712 0.004 0.256
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.8300 0.29144 0.176 0.292 0.000 0.360 0.172
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.3123 0.70267 0.184 0.812 0.000 0.000 0.004
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.3942 0.55421 0.000 0.020 0.000 0.748 0.232
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.6050 0.68611 0.012 0.328 0.000 0.100 0.560
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 5 0.6878 -0.06055 0.004 0.052 0.396 0.084 0.464
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.5561 0.67980 0.000 0.016 0.684 0.152 0.148
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.1443 0.79917 0.948 0.044 0.000 0.004 0.004
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.3543 0.66827 0.060 0.828 0.000 0.000 0.112
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.4102 0.73631 0.000 0.300 0.004 0.004 0.692
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3684 0.73453 0.788 0.192 0.000 0.016 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.5761 0.60434 0.000 0.184 0.176 0.004 0.636
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.2616 0.72294 0.076 0.888 0.000 0.000 0.036
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.4415 0.58320 0.004 0.444 0.000 0.000 0.552
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4227 0.15849 0.420 0.580 0.000 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.3328 0.71396 0.176 0.812 0.000 0.004 0.008
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0865 0.79641 0.972 0.024 0.000 0.004 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5252 0.67389 0.208 0.704 0.000 0.032 0.056
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
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#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 3 0.0162 0.84420 0.000 0.000 0.996 0.000 0.004
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 3 0.0162 0.84420 0.000 0.000 0.996 0.000 0.004
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.3997 0.52494 0.032 0.776 0.000 0.004 0.188
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 5 0.4276 0.67632 0.000 0.380 0.000 0.004 0.616
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.4001 0.74437 0.800 0.152 0.000 0.024 0.024
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.8071 -0.04795 0.372 0.200 0.000 0.316 0.112
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 3 0.5561 0.67980 0.000 0.016 0.684 0.152 0.148
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.3211 0.71971 0.164 0.824 0.000 0.004 0.008
#> 71FB5F96-671E-43C2-973E-3839079F753B 5 0.6316 0.66452 0.008 0.288 0.000 0.156 0.548
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.3828 0.70537 0.764 0.220 0.000 0.008 0.008
#> 303ED788-B6CF-49EF-A607-505A7001E367 1 0.4283 0.24980 0.544 0.456 0.000 0.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 5 0.6833 0.44967 0.004 0.132 0.080 0.176 0.608
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 5 0.5771 0.72550 0.000 0.256 0.020 0.088 0.636
#> CEA8617F-0E70-43DC-8075-CA4698661303 4 0.8254 0.35242 0.196 0.264 0.000 0.384 0.156
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.3475 0.71361 0.180 0.804 0.000 0.004 0.012
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.4635 0.49109 0.040 0.728 0.000 0.012 0.220
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.3216 0.73287 0.096 0.856 0.000 0.004 0.044
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.3242 0.62703 0.000 0.012 0.000 0.816 0.172
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.1731 0.79501 0.932 0.060 0.000 0.004 0.004
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 2 0.7911 -0.06848 0.104 0.376 0.000 0.348 0.172
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.4561 0.27889 0.012 0.688 0.000 0.016 0.284
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 5 0.6503 0.47815 0.004 0.132 0.056 0.176 0.632
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.6705 0.55721 0.068 0.112 0.000 0.588 0.232
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.3416 0.69389 0.072 0.840 0.000 0.000 0.088
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.2339 0.78798 0.892 0.100 0.000 0.004 0.004
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 3 0.5561 0.67980 0.000 0.016 0.684 0.152 0.148
#> 41445787-7763-458C-9FC9-744922C0FD8F 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 5 0.5807 0.69414 0.004 0.256 0.000 0.128 0.612
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.2732 0.72119 0.160 0.840 0.000 0.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.4592 0.59443 0.012 0.036 0.000 0.728 0.224
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.3183 0.73872 0.108 0.856 0.000 0.008 0.028
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.4438 0.71143 0.168 0.768 0.000 0.016 0.048
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 5 0.4832 0.72158 0.000 0.228 0.048 0.012 0.712
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 3 0.5898 0.63465 0.000 0.016 0.644 0.192 0.148
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.3362 0.70863 0.076 0.844 0.000 0.000 0.080
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.7823 0.21859 0.436 0.236 0.000 0.240 0.088
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.2351 0.73160 0.088 0.896 0.000 0.000 0.016
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.4178 0.73882 0.000 0.292 0.008 0.004 0.696
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.4943 0.59920 0.016 0.056 0.000 0.716 0.212
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.6285 0.28099 0.080 0.596 0.000 0.048 0.276
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.4750 0.72835 0.000 0.260 0.044 0.004 0.692
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.2732 0.72119 0.160 0.840 0.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 5 0.6261 0.57157 0.000 0.148 0.072 0.124 0.656
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.4210 0.35302 0.588 0.412 0.000 0.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.5007 0.49313 0.012 0.472 0.000 0.012 0.504
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.2732 0.72187 0.160 0.840 0.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.4074 0.69728 0.752 0.224 0.000 0.012 0.012
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.3048 0.71071 0.176 0.820 0.000 0.000 0.004
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.2554 0.72050 0.072 0.892 0.000 0.000 0.036
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.6319 0.51142 0.084 0.648 0.000 0.096 0.172
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.4305 -0.09369 0.488 0.512 0.000 0.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.4193 0.21743 0.012 0.684 0.000 0.000 0.304
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.5002 0.26289 0.052 0.636 0.000 0.000 0.312
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.5121 0.59996 0.024 0.056 0.000 0.708 0.212
#> E1744D91-44AA-4269-B057-D1B620278604 5 0.6833 0.44967 0.004 0.132 0.080 0.176 0.608
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.1041 0.79802 0.964 0.032 0.000 0.004 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 5 0.6481 0.54853 0.008 0.216 0.000 0.236 0.540
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.4408 0.70797 0.088 0.796 0.000 0.028 0.088
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.4415 0.72051 0.116 0.792 0.000 0.028 0.064
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.3534 0.61542 0.256 0.744 0.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.2574 0.73771 0.112 0.876 0.000 0.000 0.012
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.4251 0.47717 0.624 0.372 0.000 0.000 0.004
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4095 0.71167 0.000 0.024 0.752 0.004 0.220
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 5 0.7358 -0.14199 0.000 0.048 0.292 0.200 0.460
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.3326 0.56811 0.024 0.824 0.000 0.000 0.152
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.2824 0.73352 0.096 0.872 0.000 0.000 0.032
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0609 0.83954 0.000 0.000 0.980 0.000 0.020
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 5 0.6398 0.65904 0.012 0.300 0.000 0.148 0.540
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.6780 0.07280 0.000 0.016 0.312 0.488 0.184
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0898 0.79499 0.972 0.020 0.000 0.000 0.008
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.2339 0.78798 0.892 0.100 0.000 0.004 0.004
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.4560 0.33223 0.020 0.700 0.000 0.012 0.268
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.4025 0.27327 0.008 0.700 0.000 0.000 0.292
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.4438 0.71143 0.168 0.768 0.000 0.016 0.048
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.6780 0.07280 0.000 0.016 0.312 0.488 0.184
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.7874 0.09270 0.396 0.232 0.000 0.292 0.080
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.4274 0.73259 0.776 0.172 0.000 0.032 0.020
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.4007 0.70864 0.756 0.220 0.000 0.020 0.004
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.4839 0.74601 0.000 0.304 0.012 0.024 0.660
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2790 0.71401 0.068 0.880 0.000 0.000 0.052
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.3328 0.71396 0.176 0.812 0.000 0.004 0.008
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.3999 0.55477 0.000 0.020 0.000 0.740 0.240
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.4102 0.73578 0.000 0.300 0.004 0.004 0.692
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.1764 0.79397 0.940 0.036 0.000 0.012 0.012
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.5693 0.66050 0.204 0.680 0.000 0.052 0.064
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.4429 0.72104 0.112 0.792 0.000 0.028 0.068
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.4877 0.74184 0.000 0.312 0.012 0.024 0.652
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.4150 0.27463 0.388 0.612 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 5 0.6534 0.47214 0.004 0.132 0.056 0.180 0.628
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.5422 0.58873 0.016 0.072 0.004 0.684 0.224
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.7541 -0.04231 0.052 0.204 0.000 0.372 0.372
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2166 0.79570 0.912 0.072 0.000 0.004 0.012
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0898 0.79596 0.972 0.020 0.000 0.000 0.008
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0771 0.79535 0.976 0.020 0.000 0.004 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.4504 0.60188 0.000 0.428 0.000 0.008 0.564
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.4497 0.71842 0.116 0.788 0.000 0.032 0.064
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.2112 0.79058 0.908 0.084 0.000 0.004 0.004
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2439 0.73447 0.120 0.876 0.000 0.000 0.004
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 5 0.6458 0.53878 0.008 0.212 0.000 0.236 0.544
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0510 0.79413 0.984 0.016 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.4840 0.73063 0.000 0.016 0.752 0.104 0.128
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.5561 0.67980 0.000 0.016 0.684 0.152 0.148
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.7247 0.53562 0.096 0.156 0.000 0.548 0.200
#> EAA457D5-032F-49D0-8D27-A841EB248964 5 0.5374 0.71286 0.000 0.208 0.064 0.032 0.696
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.5430 0.63241 0.000 0.192 0.148 0.000 0.660
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.4450 0.19806 0.508 0.488 0.000 0.000 0.004
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.7496 0.29515 0.480 0.212 0.000 0.240 0.068
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3828 0.70537 0.764 0.220 0.000 0.008 0.008
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.3294 0.72748 0.104 0.852 0.000 0.008 0.036
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.84514 0.000 0.000 1.000 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.3294 0.73726 0.104 0.852 0.000 0.008 0.036
#> 18D832D1-14AD-4E0C-B051-566D9554A968 5 0.6458 0.53878 0.008 0.212 0.000 0.236 0.544
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2574 0.73771 0.112 0.876 0.000 0.000 0.012
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2513 0.73559 0.116 0.876 0.000 0.000 0.008
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.2621 0.73722 0.112 0.876 0.000 0.004 0.008
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3379 0.76266 0.828 0.148 0.000 0.016 0.008
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4135 0.40338 0.340 0.656 0.000 0.000 0.004
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2291 0.79293 0.908 0.072 0.000 0.008 0.012
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.5241 0.55432 0.000 0.008 0.596 0.040 0.356
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.4088 0.68973 0.000 0.368 0.000 0.000 0.632
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.7435 0.54317 0.196 0.108 0.000 0.528 0.168
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.4880 0.74706 0.000 0.296 0.012 0.028 0.664
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0703 0.79561 0.976 0.024 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.4009 0.73058 0.000 0.312 0.000 0.004 0.684
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.6672 0.43587 0.016 0.412 0.000 0.144 0.428
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2621 0.73722 0.112 0.876 0.000 0.004 0.008
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.6316 0.66452 0.008 0.288 0.000 0.156 0.548
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.4283 0.24980 0.544 0.456 0.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2583 0.73367 0.132 0.864 0.000 0.000 0.004
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.5039 0.54676 0.000 0.028 0.604 0.008 0.360
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3300 0.67524 0.204 0.792 0.000 0.000 0.004
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.3099 0.60836 0.028 0.848 0.000 0.000 0.124
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.1544 0.82614 0.000 0.000 0.932 0.000 0.068
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1148 0.81892 0.960 0.016 0.004 0.020 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 5 0.5746 0.65769 0.000 0.000 0.032 0.112 0.576 0.280
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#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.5344 0.65862 0.676 0.192 0.020 0.092 0.020 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.4627 0.65097 0.684 0.256 0.008 0.040 0.012 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.3568 0.74941 0.000 0.172 0.788 0.032 0.008 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.2356 0.70356 0.008 0.884 0.100 0.004 0.004 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.2107 0.71395 0.052 0.916 0.008 0.016 0.008 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 5 0.2250 0.49004 0.000 0.000 0.020 0.092 0.888 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0862 0.81725 0.972 0.016 0.008 0.000 0.004 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.2558 0.73541 0.000 0.156 0.840 0.004 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.0000 0.77810 0.000 0.000 0.000 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.2938 0.80043 0.876 0.044 0.012 0.052 0.016 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.4517 0.61988 0.104 0.756 0.028 0.108 0.004 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.3177 0.70919 0.016 0.860 0.044 0.068 0.012 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0748 0.81762 0.976 0.016 0.004 0.000 0.004 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.3869 0.74872 0.000 0.180 0.768 0.040 0.012 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.3565 0.51750 0.276 0.716 0.004 0.000 0.004 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.6566 0.47149 0.000 0.068 0.564 0.108 0.236 0.024
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.5645 0.12459 0.004 0.016 0.084 0.492 0.404 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0862 0.81725 0.972 0.016 0.008 0.000 0.004 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.6779 0.16401 0.012 0.124 0.256 0.520 0.088 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.3497 0.79610 0.840 0.080 0.016 0.048 0.016 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1293 0.81706 0.956 0.020 0.004 0.016 0.004 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.1722 0.82115 0.936 0.036 0.008 0.016 0.004 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.3827 0.63576 0.000 0.308 0.680 0.008 0.004 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.3288 0.70738 0.020 0.856 0.040 0.068 0.016 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3001 0.79283 0.852 0.108 0.004 0.028 0.008 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.1232 0.72436 0.016 0.956 0.024 0.000 0.004 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.6863 0.53816 0.000 0.112 0.492 0.232 0.164 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.1026 0.81754 0.968 0.012 0.008 0.008 0.004 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.3975 0.54144 0.000 0.000 0.040 0.000 0.244 0.716
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.4403 0.43934 0.000 0.000 0.048 0.000 0.304 0.648
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4502 0.56637 0.032 0.140 0.044 0.764 0.020 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.4279 0.69909 0.000 0.092 0.796 0.028 0.048 0.036
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4090 0.60787 0.000 0.076 0.792 0.008 0.020 0.104
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.0146 0.77731 0.000 0.000 0.000 0.000 0.004 0.996
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.4478 0.19493 0.392 0.580 0.016 0.000 0.012 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.6798 -0.03958 0.392 0.208 0.020 0.360 0.020 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4610 0.65683 0.688 0.248 0.008 0.048 0.008 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2881 0.71507 0.032 0.868 0.084 0.012 0.004 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.0000 0.77810 0.000 0.000 0.000 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1881 0.72208 0.004 0.924 0.052 0.016 0.004 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.6863 0.53816 0.000 0.112 0.492 0.232 0.164 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1440 0.72607 0.012 0.948 0.032 0.004 0.004 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.1218 0.72391 0.012 0.956 0.028 0.000 0.004 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1440 0.72487 0.012 0.948 0.032 0.004 0.004 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.4071 0.73199 0.756 0.184 0.008 0.048 0.004 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.3507 0.57839 0.216 0.764 0.008 0.000 0.012 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.3530 0.79008 0.836 0.080 0.016 0.056 0.012 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 6 0.5864 0.28752 0.000 0.000 0.312 0.028 0.120 0.540
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.3189 0.70931 0.000 0.236 0.760 0.004 0.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4189 0.56673 0.116 0.080 0.016 0.780 0.008 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0862 0.81725 0.972 0.016 0.008 0.000 0.004 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.3800 0.74769 0.000 0.164 0.780 0.044 0.012 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0862 0.81725 0.972 0.016 0.008 0.000 0.004 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2668 0.73683 0.000 0.168 0.828 0.004 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.6811 0.41922 0.000 0.336 0.392 0.220 0.052 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1440 0.72487 0.012 0.948 0.032 0.004 0.004 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.6635 0.63260 0.000 0.192 0.524 0.196 0.088 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4280 0.18288 0.428 0.556 0.008 0.000 0.008 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1377 0.72758 0.024 0.952 0.016 0.004 0.004 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 6 0.5128 0.31881 0.000 0.000 0.376 0.008 0.068 0.548
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.2454 0.69460 0.088 0.884 0.020 0.000 0.008 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.2979 0.60836 0.000 0.804 0.188 0.004 0.004 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.2070 0.74098 0.000 0.000 0.048 0.000 0.044 0.908
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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.973 0.988 0.4546 0.545 0.545
#> 3 3 0.809 0.830 0.930 0.3799 0.636 0.430
#> 4 4 0.685 0.690 0.853 0.1533 0.769 0.467
#> 5 5 0.893 0.883 0.937 0.0913 0.893 0.630
#> 6 6 0.772 0.666 0.810 0.0398 0.947 0.762
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9908 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.0000 0.9823 0.000 1.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9908 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.8499 0.6281 0.276 0.724
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.0000 0.9823 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9823 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9908 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 1 0.0000 0.9908 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9908 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9908 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9908 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.0000 0.9823 0.000 1.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 1 0.0000 0.9908 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9908 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.2236 0.9561 0.036 0.964
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.0000 0.9908 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9908 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.9661 0.3667 0.392 0.608
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.9823 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 1 0.6438 0.8065 0.836 0.164
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.9823 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 1 0.0000 0.9908 1.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.0000 0.9908 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9908 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 1 0.6343 0.8120 0.840 0.160
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9823 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 1 0.0000 0.9908 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.9823 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.0000 0.9908 1.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.0000 0.9908 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.9823 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.9908 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 1 0.0000 0.9908 1.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.9823 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.9823 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9908 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 1 0.0000 0.9908 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9823 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9908 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.9823 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 1 0.0000 0.9908 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 1 0.0000 0.9908 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.0000 0.9908 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.0000 0.9908 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9908 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.0000 0.9908 1.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.0000 0.9823 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.9823 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9908 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.9823 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.9823 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.9908 1.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9908 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 2 0.0000 0.9823 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9908 1.000 0.000
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#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9908 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9908 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.9908 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9823 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 1 0.0000 0.9908 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 1 0.0000 0.9908 1.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.0000 0.9823 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9908 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.2236 0.9561 0.036 0.964
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.9823 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9908 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.0000 0.9908 1.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.0000 0.9908 1.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9908 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.2236 0.9561 0.036 0.964
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 1 0.0000 0.9908 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.9823 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9908 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9908 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.5408 0.8582 0.876 0.124
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9908 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9908 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9908 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.7056 0.7681 0.192 0.808
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.0000 0.9908 1.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9908 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.0000 0.9908 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.0938 0.9737 0.012 0.988
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9908 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.9823 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.9823 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9908 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.9823 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9823 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.0000 0.9823 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.0000 0.9908 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9908 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9908 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 1 0.0000 0.9908 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.9823 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 1 0.0000 0.9908 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.0000 0.9908 1.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.0000 0.9908 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.0000 0.9908 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 0.0000 0.9908 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9908 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.0000 0.9908 1.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9908 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.9823 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.7056 0.7681 0.192 0.808
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9908 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9908 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2236 0.9561 0.036 0.964
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9908 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.2236 0.9561 0.036 0.964
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 1 0.0000 0.9908 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 1 0.0000 0.9908 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.9823 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.0000 0.9908 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.0000 0.9908 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9823 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.0000 0.9908 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 1 0.0000 0.9908 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.9823 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0747 0.8808 0.984 0.016 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.0747 0.9483 0.016 0.000 0.984
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0747 0.8808 0.984 0.016 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0661 0.9202 0.008 0.988 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.0747 0.9483 0.016 0.000 0.984
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9567 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0747 0.8808 0.984 0.016 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9244 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0747 0.8808 0.984 0.016 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0747 0.8808 0.984 0.016 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0747 0.8808 0.984 0.016 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.0747 0.9483 0.016 0.000 0.984
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9244 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0237 0.8725 0.996 0.004 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0592 0.9195 0.000 0.988 0.012
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6079 0.3585 0.388 0.612 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.6307 -0.1044 0.488 0.512 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0592 0.9193 0.012 0.988 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9567 0.000 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9244 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9567 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0424 0.9214 0.008 0.992 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.6126 0.3305 0.400 0.600 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0747 0.8808 0.984 0.016 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0237 0.9230 0.000 0.996 0.004
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.3412 0.8222 0.000 0.124 0.876
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9244 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9567 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0592 0.9193 0.012 0.988 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4796 0.6770 0.220 0.780 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9567 0.000 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.6309 0.1253 0.500 0.500 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0424 0.9214 0.008 0.992 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.0000 0.9567 0.000 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0237 0.9552 0.004 0.000 0.996
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0747 0.8808 0.984 0.016 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9244 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0747 0.9170 0.000 0.984 0.016
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0424 0.8756 0.992 0.008 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0000 0.9567 0.000 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9244 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9244 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4702 0.6888 0.212 0.788 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.5327 0.5933 0.272 0.728 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0747 0.8808 0.984 0.016 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.9244 0.000 1.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0237 0.9552 0.004 0.000 0.996
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.9567 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0747 0.8808 0.984 0.016 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.9567 0.000 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.9567 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0747 0.8808 0.984 0.016 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0747 0.8808 0.984 0.016 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0237 0.9552 0.004 0.000 0.996
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0747 0.8808 0.984 0.016 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9244 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0424 0.8756 0.992 0.008 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9244 0.000 1.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0747 0.9172 0.016 0.984 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.9567 0.000 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0747 0.8808 0.984 0.016 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 2 0.6244 0.0968 0.440 0.560 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9244 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0000 0.9567 0.000 0.000 1.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.8691 1.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0000 0.9567 0.000 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9244 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0747 0.8808 0.984 0.016 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0237 0.8725 0.996 0.004 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.0000 0.9567 0.000 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0747 0.8808 0.984 0.016 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9244 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0747 0.8808 0.984 0.016 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0747 0.8808 0.984 0.016 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0829 0.9179 0.004 0.984 0.012
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.9244 0.000 1.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0747 0.8808 0.984 0.016 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.5138 0.6269 0.252 0.748 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0747 0.8808 0.984 0.016 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.9244 0.000 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 1 0.5835 0.4482 0.660 0.340 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0747 0.8808 0.984 0.016 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0747 0.8808 0.984 0.016 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.6079 0.3585 0.388 0.612 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0747 0.8808 0.984 0.016 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0747 0.8808 0.984 0.016 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0237 0.8725 0.996 0.004 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9244 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 2 0.0424 0.9214 0.008 0.992 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.9244 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0237 0.9552 0.004 0.000 0.996
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9244 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.6309 0.1253 0.500 0.500 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.9244 0.000 1.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.6215 0.2566 0.428 0.572 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.1964 0.8493 0.944 0.056 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0747 0.8808 0.984 0.016 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0592 0.9195 0.000 0.988 0.012
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.9244 0.000 1.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0829 0.9178 0.012 0.984 0.004
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0747 0.8808 0.984 0.016 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9244 0.000 1.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0592 0.9195 0.000 0.988 0.012
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.9567 0.000 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.0747 0.9483 0.016 0.000 0.984
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.6225 0.3693 0.568 0.432 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0747 0.9172 0.016 0.984 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.9567 0.000 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.4178 0.7541 0.828 0.172 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0747 0.8808 0.984 0.016 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.6095 0.3493 0.392 0.608 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0747 0.8808 0.984 0.016 0.000
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#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0747 0.8808 0.984 0.016 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9244 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3846 0.8208 0.016 0.876 0.108
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0747 0.8808 0.984 0.016 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.9567 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0000 0.9567 0.000 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.0592 0.9193 0.012 0.988 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.9567 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0000 0.9567 0.000 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9567 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.6204 0.2674 0.424 0.576 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0892 0.8668 0.980 0.020 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0747 0.8808 0.984 0.016 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9244 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.9567 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.2066 0.8728 0.060 0.940 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0747 0.9172 0.016 0.984 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9244 0.000 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9244 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9244 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0747 0.8808 0.984 0.016 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.4750 0.6830 0.216 0.784 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0424 0.8756 0.992 0.008 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0000 0.9567 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0424 0.9215 0.000 0.992 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.6126 0.4099 0.600 0.400 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0747 0.8808 0.984 0.016 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0829 0.9179 0.004 0.984 0.012
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0747 0.8808 0.984 0.016 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0592 0.9195 0.000 0.988 0.012
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.9244 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9244 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0829 0.9178 0.012 0.984 0.004
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6079 0.3585 0.388 0.612 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9244 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.9567 0.000 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9244 0.000 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9244 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9567 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3688 0.3473 0.000 0.000 0.208 0.792
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.3610 0.3597 0.000 0.000 0.200 0.800
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.3610 0.6449 0.000 0.800 0.000 0.200
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4998 0.2335 0.512 0.488 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.3610 0.3597 0.000 0.000 0.200 0.800
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.4222 0.5026 0.000 0.728 0.000 0.272
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0188 0.9337 0.996 0.000 0.000 0.004
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.7345 0.1924 0.168 0.348 0.000 0.484
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.4679 0.4872 0.000 0.352 0.000 0.648
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 4 0.4967 0.3731 0.000 0.452 0.000 0.548
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1867 0.8775 0.000 0.000 0.928 0.072
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 4 0.4941 0.3383 0.000 0.436 0.000 0.564
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.3356 0.6727 0.176 0.824 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 4 0.4925 0.4182 0.000 0.428 0.000 0.572
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 4 0.6750 0.4195 0.000 0.128 0.288 0.584
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.1792 0.8821 0.000 0.000 0.932 0.068
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.3569 0.4756 0.000 0.196 0.000 0.804
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.3074 0.4845 0.152 0.000 0.000 0.848
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.4500 0.5000 0.000 0.000 0.684 0.316
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1389 0.8525 0.000 0.952 0.000 0.048
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3751 0.7406 0.800 0.196 0.000 0.004
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 4 0.4898 0.1803 0.000 0.000 0.416 0.584
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.4955 -0.0736 0.000 0.556 0.000 0.444
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0188 0.8946 0.000 0.996 0.000 0.004
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.2149 0.8547 0.912 0.088 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.2831 0.8265 0.876 0.120 0.000 0.004
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 4 0.4996 0.2999 0.000 0.484 0.000 0.516
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.0188 0.5526 0.000 0.004 0.000 0.996
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.2868 0.4939 0.136 0.000 0.000 0.864
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 4 0.4916 0.4250 0.000 0.424 0.000 0.576
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.7586 -0.1003 0.388 0.196 0.000 0.416
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 4 0.4989 0.0320 0.000 0.000 0.472 0.528
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4746 0.3788 0.000 0.000 0.632 0.368
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.4713 0.2411 0.000 0.640 0.000 0.360
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0188 0.8946 0.000 0.996 0.000 0.004
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 1 0.4761 0.4668 0.628 0.372 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3569 0.7431 0.804 0.196 0.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.6339 0.5814 0.656 0.196 0.000 0.148
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 2 0.4925 0.0551 0.000 0.572 0.000 0.428
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.5113 0.4669 0.152 0.088 0.000 0.760
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.2868 0.7441 0.000 0.864 0.000 0.136
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.3975 0.5757 0.240 0.760 0.000 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.4477 0.5963 0.688 0.312 0.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 4 0.4916 0.4250 0.000 0.424 0.000 0.576
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 4 0.4790 0.4675 0.000 0.380 0.000 0.620
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 4 0.4967 0.3731 0.000 0.452 0.000 0.548
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.4877 0.4691 0.000 0.000 0.592 0.408
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.3591 0.6737 0.168 0.824 0.000 0.008
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 4 0.0188 0.5526 0.000 0.004 0.000 0.996
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 4 0.7838 0.0685 0.280 0.316 0.000 0.404
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 4 0.3610 0.3597 0.000 0.000 0.200 0.800
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.5466 0.3122 0.548 0.436 0.000 0.016
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 4 0.6790 0.3325 0.196 0.196 0.000 0.608
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 4 0.4996 0.2965 0.000 0.484 0.000 0.516
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 4 0.4999 0.2749 0.000 0.492 0.000 0.508
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.5284 0.6222 0.696 0.264 0.000 0.040
#> 66B28FC4-B101-4745-8495-49EB475F9750 4 0.3873 0.3264 0.000 0.000 0.228 0.772
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 4 0.4967 0.3731 0.000 0.452 0.000 0.548
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.8977 0.000 1.000 0.000 0.000
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#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.0000 0.5507 0.000 0.000 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0000 0.5507 0.000 0.000 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4948 0.1009 0.000 0.440 0.000 0.560
#> EAA457D5-032F-49D0-8D27-A841EB248964 4 0.4866 0.2000 0.000 0.000 0.404 0.596
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 4 0.4898 0.1803 0.000 0.000 0.416 0.584
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.7586 -0.1003 0.388 0.196 0.000 0.416
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3486 0.7529 0.812 0.188 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.0000 0.5507 0.000 0.000 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0707 0.9208 0.980 0.020 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 4 0.4916 0.4250 0.000 0.424 0.000 0.576
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.6722 0.3365 0.200 0.184 0.000 0.616
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 4 0.4898 0.4366 0.000 0.416 0.000 0.584
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9366 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 4 0.4916 0.4250 0.000 0.424 0.000 0.576
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.4948 -0.0601 0.000 0.560 0.000 0.440
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 4 0.4164 0.5297 0.000 0.264 0.000 0.736
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0188 0.8948 0.004 0.996 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.9518 0.000 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.8977 0.000 1.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9518 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3255 0.838 0.000 0.000 0.052 0.848 0.100
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.4069 0.800 0.000 0.000 0.076 0.788 0.136
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.3612 0.668 0.000 0.268 0.000 0.000 0.732
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.0898 0.936 0.020 0.972 0.000 0.008 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.2127 0.859 0.000 0.000 0.000 0.892 0.108
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.1671 0.881 0.000 0.076 0.000 0.000 0.924
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.2248 0.879 0.900 0.012 0.000 0.088 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1965 0.837 0.000 0.096 0.000 0.904 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.1082 0.921 0.000 0.028 0.000 0.008 0.964
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4066 0.530 0.000 0.000 0.672 0.004 0.324
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 4 0.5013 0.636 0.000 0.240 0.000 0.680 0.080
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.1095 0.921 0.000 0.012 0.008 0.012 0.968
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3143 0.745 0.000 0.000 0.796 0.000 0.204
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.0955 0.884 0.000 0.028 0.000 0.968 0.004
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0510 0.886 0.000 0.000 0.000 0.984 0.016
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.3305 0.732 0.000 0.224 0.000 0.000 0.776
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.2624 0.834 0.000 0.000 0.872 0.012 0.116
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0162 0.954 0.000 0.000 0.996 0.000 0.004
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0880 0.957 0.000 0.968 0.000 0.000 0.032
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.0912 0.925 0.000 0.016 0.000 0.012 0.972
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.5531 0.566 0.632 0.120 0.000 0.248 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.1364 0.897 0.000 0.000 0.036 0.012 0.952
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.0609 0.925 0.000 0.020 0.000 0.000 0.980
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.952 0.000 1.000 0.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0404 0.943 0.000 0.988 0.000 0.012 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0162 0.954 0.000 0.000 0.996 0.000 0.004
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0324 0.952 0.000 0.000 0.992 0.004 0.004
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0290 0.945 0.992 0.008 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0162 0.954 0.000 0.000 0.996 0.000 0.004
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0912 0.935 0.972 0.016 0.000 0.012 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3536 0.798 0.812 0.032 0.000 0.156 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 5 0.0880 0.922 0.000 0.032 0.000 0.000 0.968
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.3011 0.839 0.000 0.016 0.000 0.844 0.140
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0510 0.886 0.000 0.000 0.000 0.984 0.016
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0162 0.954 0.000 0.000 0.996 0.004 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.0671 0.883 0.004 0.016 0.000 0.980 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.2130 0.860 0.000 0.000 0.080 0.012 0.908
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0566 0.942 0.984 0.004 0.000 0.012 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.3586 0.746 0.000 0.000 0.792 0.020 0.188
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 5 0.3816 0.623 0.000 0.304 0.000 0.000 0.696
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 5 0.1082 0.921 0.000 0.028 0.000 0.008 0.964
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0404 0.957 0.000 0.988 0.000 0.000 0.012
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0000 0.952 0.000 1.000 0.000 0.000 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.3274 0.721 0.220 0.780 0.000 0.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.4354 0.462 0.624 0.368 0.000 0.008 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.5245 0.369 0.328 0.064 0.000 0.608 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 4 0.2685 0.825 0.000 0.092 0.000 0.880 0.028
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0703 0.959 0.000 0.976 0.000 0.000 0.024
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0324 0.952 0.000 0.000 0.992 0.004 0.004
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0566 0.885 0.000 0.012 0.000 0.984 0.004
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0880 0.948 0.000 0.968 0.000 0.000 0.032
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.1211 0.943 0.024 0.960 0.000 0.000 0.016
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.2516 0.826 0.140 0.860 0.000 0.000 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.0671 0.927 0.000 0.016 0.000 0.004 0.980
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 5 0.1082 0.921 0.000 0.028 0.000 0.008 0.964
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.0671 0.927 0.000 0.016 0.000 0.004 0.980
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 4 0.4497 0.446 0.000 0.000 0.352 0.632 0.016
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.2865 0.831 0.008 0.856 0.000 0.132 0.004
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 4 0.3496 0.785 0.000 0.012 0.000 0.788 0.200
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 4 0.2563 0.814 0.008 0.120 0.000 0.872 0.000
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#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.3551 0.706 0.220 0.772 0.000 0.008 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.1216 0.930 0.000 0.000 0.960 0.020 0.020
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.4182 0.359 0.000 0.400 0.000 0.000 0.600
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 4 0.4250 0.717 0.000 0.028 0.000 0.720 0.252
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.4639 0.459 0.000 0.000 0.344 0.632 0.024
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.4249 0.289 0.000 0.432 0.000 0.000 0.568
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.1341 0.938 0.000 0.944 0.000 0.000 0.056
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0451 0.951 0.000 0.988 0.000 0.008 0.004
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3106 0.788 0.000 0.000 0.140 0.840 0.020
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.5320 0.399 0.572 0.060 0.000 0.368 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.3055 0.823 0.840 0.016 0.000 0.144 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.0693 0.943 0.012 0.980 0.000 0.008 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0798 0.926 0.000 0.016 0.000 0.008 0.976
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.952 0.000 1.000 0.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.1478 0.877 0.000 0.000 0.000 0.936 0.064
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.1851 0.878 0.000 0.912 0.000 0.088 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0510 0.956 0.000 0.984 0.000 0.000 0.016
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0671 0.927 0.000 0.016 0.000 0.004 0.980
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.2864 0.843 0.000 0.012 0.000 0.852 0.136
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0510 0.886 0.000 0.000 0.000 0.984 0.016
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.2233 0.873 0.000 0.016 0.000 0.904 0.080
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0693 0.940 0.980 0.008 0.000 0.012 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.0671 0.927 0.000 0.016 0.000 0.004 0.980
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0290 0.956 0.000 0.992 0.000 0.000 0.008
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0162 0.947 0.996 0.004 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.1877 0.877 0.000 0.012 0.000 0.924 0.064
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0162 0.954 0.000 0.000 0.996 0.000 0.004
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.3300 0.737 0.000 0.204 0.000 0.792 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 5 0.1117 0.898 0.000 0.000 0.016 0.020 0.964
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.1364 0.897 0.000 0.000 0.036 0.012 0.952
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.952 0.000 1.000 0.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.1792 0.846 0.000 0.084 0.000 0.916 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.3835 0.770 0.796 0.156 0.000 0.048 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.1701 0.883 0.000 0.016 0.000 0.936 0.048
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0510 0.956 0.000 0.984 0.000 0.000 0.016
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.1300 0.924 0.956 0.028 0.000 0.016 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0324 0.945 0.992 0.004 0.000 0.004 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0162 0.954 0.000 0.000 0.996 0.004 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0566 0.885 0.000 0.012 0.000 0.984 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.0798 0.926 0.000 0.016 0.000 0.008 0.976
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.948 1.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0510 0.927 0.000 0.016 0.000 0.000 0.984
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.2020 0.859 0.000 0.100 0.000 0.000 0.900
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0794 0.958 0.000 0.972 0.000 0.000 0.028
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.1106 0.916 0.000 0.024 0.000 0.012 0.964
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0290 0.956 0.000 0.992 0.000 0.000 0.008
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0609 0.960 0.000 0.980 0.000 0.000 0.020
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.2732 0.819 0.000 0.840 0.000 0.000 0.160
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.955 0.000 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4474 0.5035 0.000 0.000 0.068 0.704 0.220 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.1610 0.8056 0.000 0.000 0.916 0.000 0.084 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.5207 0.4741 0.000 0.000 0.108 0.628 0.252 0.012
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 6 0.2003 0.8559 0.000 0.000 0.000 0.000 0.116 0.884
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.4117 0.7047 0.000 0.140 0.748 0.000 0.112 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.2527 0.7144 0.000 0.832 0.000 0.000 0.168 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.4255 0.5009 0.000 0.000 0.068 0.708 0.224 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.2579 0.7891 0.000 0.040 0.872 0.000 0.088 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.6041 -0.3477 0.388 0.000 0.000 0.252 0.360 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0000 0.8062 0.000 0.000 1.000 0.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0790 0.8476 0.000 0.968 0.000 0.000 0.032 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.4184 0.0310 0.000 0.016 0.000 0.576 0.408 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 3 0.3494 0.6881 0.000 0.000 0.736 0.012 0.252 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.1858 0.8025 0.000 0.004 0.904 0.000 0.092 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 6 0.5592 0.3972 0.000 0.000 0.340 0.000 0.156 0.504
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 5 0.6941 -0.0901 0.000 0.116 0.304 0.136 0.444 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0865 0.8453 0.000 0.964 0.000 0.000 0.036 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.1556 0.8060 0.000 0.000 0.920 0.000 0.080 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.1814 0.7610 0.000 0.000 0.900 0.000 0.100 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.2867 0.8204 0.000 0.848 0.040 0.000 0.112 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 6 0.4305 0.6000 0.000 0.000 0.260 0.000 0.056 0.684
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 5 0.3765 0.2360 0.000 0.000 0.000 0.404 0.596 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0458 0.8540 0.000 0.984 0.000 0.000 0.016 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 6 0.0937 0.8867 0.000 0.000 0.000 0.000 0.040 0.960
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1387 0.4768 0.000 0.000 0.000 0.932 0.068 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.5290 0.5569 0.000 0.116 0.544 0.000 0.340 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 6 0.7148 0.2678 0.000 0.000 0.228 0.096 0.268 0.408
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.0632 0.8872 0.000 0.000 0.000 0.000 0.024 0.976
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.1075 0.8665 0.952 0.000 0.000 0.000 0.048 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.3680 0.7737 0.000 0.784 0.072 0.000 0.144 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.0260 0.8048 0.000 0.000 0.992 0.000 0.008 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 5 0.6553 0.4284 0.272 0.024 0.000 0.312 0.392 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2378 0.7225 0.000 0.000 0.848 0.000 0.152 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0777 0.8587 0.000 0.972 0.004 0.000 0.024 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.2487 0.7915 0.000 0.032 0.876 0.000 0.092 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0458 0.8540 0.000 0.984 0.000 0.000 0.016 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0790 0.8476 0.000 0.968 0.000 0.000 0.032 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3221 0.6695 0.000 0.736 0.000 0.000 0.264 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.2762 0.7837 0.000 0.000 0.000 0.000 0.196 0.804
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 6 0.0146 0.8946 0.000 0.000 0.000 0.000 0.004 0.996
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.4371 0.6071 0.716 0.180 0.000 0.000 0.104 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4920 0.3565 0.580 0.064 0.000 0.004 0.352 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.1910 0.8437 0.000 0.892 0.000 0.000 0.108 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 5 0.6502 0.4350 0.316 0.020 0.000 0.276 0.388 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.4170 0.6774 0.000 0.032 0.660 0.000 0.308 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 5 0.6068 -0.0768 0.000 0.000 0.268 0.344 0.388 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 6 0.0632 0.8916 0.000 0.000 0.000 0.000 0.024 0.976
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.1814 0.8325 0.900 0.000 0.000 0.000 0.100 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0790 0.4684 0.000 0.000 0.000 0.968 0.032 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.2300 0.7959 0.000 0.000 0.856 0.000 0.144 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 6 0.3796 0.7704 0.000 0.000 0.000 0.060 0.176 0.764
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3795 0.1106 0.004 0.000 0.000 0.632 0.364 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.3014 0.6755 0.000 0.000 0.804 0.012 0.184 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.2312 0.8379 0.000 0.876 0.012 0.000 0.112 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
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#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.2100 0.8409 0.000 0.884 0.004 0.000 0.112 0.000
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#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 6 0.0713 0.8908 0.000 0.000 0.000 0.000 0.028 0.972
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#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.3878 0.7550 0.000 0.772 0.116 0.000 0.112 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.4400 0.5355 0.000 0.592 0.000 0.032 0.376 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.4549 0.5048 0.000 0.000 0.056 0.708 0.216 0.020
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 5 0.6447 0.4060 0.240 0.020 0.000 0.348 0.392 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 5 0.6437 0.4328 0.320 0.016 0.000 0.276 0.388 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.2454 0.7272 0.000 0.840 0.000 0.000 0.160 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.0146 0.8055 0.000 0.000 0.996 0.000 0.004 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0632 0.8588 0.000 0.976 0.000 0.000 0.024 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0937 0.8427 0.000 0.960 0.000 0.000 0.040 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.4130 0.4976 0.000 0.000 0.044 0.696 0.260 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0000 0.8062 0.000 0.000 1.000 0.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 5 0.5223 0.3631 0.000 0.208 0.000 0.180 0.612 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.1957 0.8422 0.000 0.888 0.000 0.000 0.112 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.0146 0.8055 0.000 0.000 0.996 0.000 0.004 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0790 0.8476 0.000 0.968 0.000 0.000 0.032 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.5509 0.3176 0.000 0.000 0.148 0.524 0.328 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0865 0.4663 0.000 0.000 0.000 0.964 0.036 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.5284 0.1012 0.000 0.000 0.104 0.508 0.388 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2823 0.7289 0.796 0.000 0.000 0.000 0.204 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.3883 0.4953 0.656 0.000 0.000 0.012 0.332 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.0260 0.8075 0.000 0.000 0.992 0.000 0.008 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0937 0.8564 0.000 0.960 0.000 0.000 0.040 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1765 0.8351 0.904 0.000 0.000 0.000 0.096 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.8573 0.000 1.000 0.000 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.5135 0.3377 0.000 0.000 0.104 0.572 0.324 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.2454 0.8126 0.000 0.000 0.000 0.000 0.160 0.840
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 5 0.4332 0.2985 0.000 0.040 0.000 0.316 0.644 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.4214 0.5416 0.000 0.000 0.680 0.044 0.276 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.2593 0.7173 0.000 0.000 0.844 0.008 0.148 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0937 0.8427 0.000 0.960 0.000 0.000 0.040 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.4584 -0.0681 0.040 0.000 0.000 0.556 0.404 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 5 0.7095 0.3351 0.332 0.172 0.000 0.104 0.392 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1957 0.8422 0.000 0.888 0.000 0.000 0.112 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0458 0.8540 0.000 0.984 0.000 0.000 0.016 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.5475 0.0543 0.000 0.000 0.124 0.460 0.416 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2135 0.8362 0.000 0.872 0.000 0.000 0.128 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0937 0.8577 0.000 0.960 0.000 0.000 0.040 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.1556 0.8502 0.000 0.920 0.000 0.000 0.080 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.6075 0.0310 0.476 0.088 0.000 0.052 0.384 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0632 0.8512 0.000 0.976 0.000 0.000 0.024 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2092 0.8126 0.876 0.000 0.000 0.000 0.124 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 6 0.3394 0.7815 0.000 0.000 0.024 0.000 0.200 0.776
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.1075 0.8093 0.000 0.000 0.952 0.000 0.048 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3288 0.2550 0.000 0.000 0.000 0.724 0.276 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.0146 0.8055 0.000 0.000 0.996 0.000 0.004 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0000 0.8062 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.3555 0.7542 0.000 0.040 0.776 0.000 0.184 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.1957 0.8422 0.000 0.888 0.000 0.000 0.112 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.3290 0.6937 0.000 0.000 0.744 0.004 0.252 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0790 0.8476 0.000 0.968 0.000 0.000 0.032 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0363 0.8588 0.000 0.988 0.000 0.000 0.012 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 6 0.1910 0.8598 0.000 0.000 0.000 0.000 0.108 0.892
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0146 0.8578 0.000 0.996 0.004 0.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.3644 0.7612 0.000 0.792 0.120 0.000 0.088 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.0000 0.8950 0.000 0.000 0.000 0.000 0.000 1.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17420 rows and 500 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 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.985 0.994 0.4985 0.502 0.502
#> 3 3 0.895 0.898 0.959 0.3340 0.722 0.501
#> 4 4 0.976 0.929 0.971 0.1171 0.867 0.631
#> 5 5 0.947 0.915 0.967 0.0498 0.923 0.722
#> 6 6 0.909 0.867 0.932 0.0402 0.929 0.704
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2 4 5
There is also optional best \(k\) = 2 4 5 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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.993 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.0000 0.995 0.000 1.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.993 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.995 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.0000 0.995 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.995 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.993 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.8267 0.650 0.260 0.740
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.993 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.993 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.993 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.0000 0.995 0.000 1.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.995 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.993 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.995 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.0000 0.993 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.993 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.995 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.0000 0.995 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.995 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.995 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 1 0.9833 0.266 0.576 0.424
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.0000 0.993 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.993 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.995 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.995 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 1 0.0000 0.993 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.995 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.0000 0.993 1.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.0000 0.993 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0000 0.995 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.0000 0.995 0.000 1.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.995 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.0000 0.995 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.0000 0.995 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.993 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 1 0.0000 0.993 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.995 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.993 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.995 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 1 0.0000 0.993 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.995 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.0000 0.993 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.0000 0.993 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.993 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.0000 0.993 1.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.0000 0.995 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.0000 0.995 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.993 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.0000 0.995 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.0000 0.995 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.993 1.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.993 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 2 0.0000 0.995 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.993 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 1 0.0000 0.993 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.993 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.995 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0000 0.995 0.000 1.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 2 0.0000 0.995 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.993 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 2 0.0000 0.995 0.000 1.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.995 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 2 0.0000 0.995 0.000 1.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.993 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.995 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 1 0.0000 0.993 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.993 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.993 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.0000 0.995 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.993 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.995 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.993 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.993 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.995 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 1 0.0000 0.993 1.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.993 1.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 1 0.0000 0.993 1.000 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.993 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 1 0.0000 0.993 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 1 0.0000 0.993 1.000 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.993 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.993 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 1 0.0000 0.993 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.993 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.993 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.993 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 1 0.0000 0.993 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0376 0.990 0.996 0.004
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 1 0.0000 0.993 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 2 0.0000 0.995 0.000 1.000
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#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.3879 0.915 0.924 0.076
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 1 0.0000 0.993 1.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 1 0.0000 0.993 1.000 0.000
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#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.993 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.995 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 1 0.0000 0.993 1.000 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.995 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.993 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.995 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.995 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 2 0.0000 0.995 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 2 0.0000 0.995 0.000 1.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.993 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0000 0.995 0.000 1.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 2 0.0000 0.995 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.993 1.000 0.000
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#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.995 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 1 0.0000 0.993 1.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 2 0.0000 0.995 0.000 1.000
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#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.995 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0000 0.993 1.000 0.000
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#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0376 0.991 0.004 0.996
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 1 0.0000 0.993 1.000 0.000
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#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 2 0.0000 0.995 0.000 1.000
#> E7901BA6-1472-4395-8275-F54D06F71621 2 0.0000 0.995 0.000 1.000
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.993 1.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.995 0.000 1.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0000 0.995 0.000 1.000
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 2 0.0000 0.995 0.000 1.000
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.993 1.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.993 1.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 2 0.0000 0.995 0.000 1.000
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0000 0.993 1.000 0.000
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0000 0.993 1.000 0.000
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.995 0.000 1.000
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#> 89333723-A89A-4190-942C-5F28C76D36F0 1 0.0000 0.993 1.000 0.000
#> C0133A01-0F93-4306-954E-A725AE8B56C3 2 0.0000 0.995 0.000 1.000
#> 1CA47E47-6783-4903-AA3E-65E10F0A66FB 2 0.0000 0.995 0.000 1.000
#> EC255F3E-AD05-46AF-867E-EEEBBBA28754 2 0.0000 0.995 0.000 1.000
#> 5ADD17D4-01F5-4E20-9921-05FFD1E7E76E 1 0.0000 0.993 1.000 0.000
#> 80E13E4D-8FEC-47CF-A448-5FADBD1E6F67 2 0.0000 0.995 0.000 1.000
#> 96741D8C-3C47-451B-8AEA-3B7B7A618FAF 1 0.0000 0.993 1.000 0.000
#> 0E2AA70E-D57E-46E2-844D-58BB2D41C7F2 2 0.0000 0.995 0.000 1.000
#> 20AEFEC1-A757-4B56-9DED-8D31BC8942E2 2 0.0000 0.995 0.000 1.000
#> 5ECA18CD-DCDE-4D8C-8C8C-90C236DC5A7E 2 0.2043 0.963 0.032 0.968
#> F3E87FCE-F49D-42D6-883B-7BD1A70E2192 1 0.0000 0.993 1.000 0.000
#> 5FC2DF50-116B-4A7D-BB2C-274990D0AEFC 2 0.0000 0.995 0.000 1.000
#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0000 0.993 1.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0000 0.993 1.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.0000 0.995 0.000 1.000
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 1 0.0000 0.993 1.000 0.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.0000 0.995 0.000 1.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0000 0.993 1.000 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 1 0.0000 0.993 1.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.0000 0.995 0.000 1.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.995 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.0000 0.995 0.000 1.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.993 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 1 0.0000 0.993 1.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 1 0.9977 0.104 0.528 0.472
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.0000 0.995 0.000 1.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 1 0.0000 0.993 1.000 0.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 2 0.2423 0.954 0.040 0.960
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.993 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.993 1.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.995 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.995 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 2 0.0000 0.995 0.000 1.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 1 0.0000 0.993 1.000 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.993 1.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.0000 0.995 0.000 1.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 2 0.0000 0.995 0.000 1.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0000 0.995 0.000 1.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 1 0.0000 0.993 1.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 2 0.8207 0.657 0.256 0.744
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 1 0.0000 0.993 1.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 1 0.0000 0.993 1.000 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.995 0.000 1.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 2 0.0000 0.995 0.000 1.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 1 0.0000 0.993 1.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.993 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 1 0.0000 0.993 1.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.995 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.0000 0.995 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.993 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0672 0.987 0.008 0.992
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.993 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.995 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 1 0.0000 0.993 1.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.0000 0.995 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.0000 0.993 1.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.995 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 1 0.0000 0.993 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.993 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 1 0.0000 0.993 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 1 0.0000 0.993 1.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 1 0.0000 0.993 1.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 1 0.0000 0.993 1.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.993 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.995 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.995 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.993 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.0000 0.995 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.993 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0000 0.995 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 1 0.0000 0.993 1.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 1 0.0000 0.993 1.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.0000 0.995 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 1 0.0000 0.993 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 1 0.0000 0.993 1.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.993 1.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 2 0.0000 0.995 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.0000 0.995 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.0000 0.995 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 1 0.0000 0.993 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 1 0.0000 0.993 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.0000 0.995 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.995 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 2 0.0000 0.995 0.000 1.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.993 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.993 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.8327 0.642 0.264 0.736
#> F703B62A-687F-4084-BC52-DE28EDE411C3 1 0.0000 0.993 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 1 0.0000 0.993 1.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 2 0.0000 0.995 0.000 1.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.993 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.993 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.993 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.995 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 1 0.0000 0.993 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 1 0.0000 0.993 1.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.0000 0.995 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.993 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.995 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.0000 0.995 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.993 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.0000 0.993 1.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 1 0.0000 0.993 1.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.993 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.995 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 1 0.0000 0.993 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.0000 0.995 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 2 0.0000 0.995 0.000 1.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.993 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0000 0.995 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.993 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.993 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.993 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.995 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.0000 0.993 1.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.993 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.0000 0.993 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.0000 0.995 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.993 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.0000 0.995 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.0000 0.995 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.993 1.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.0000 0.995 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.995 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.0000 0.995 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.0000 0.993 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.993 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.993 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 1 0.0000 0.993 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.0000 0.995 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 1 0.0000 0.993 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0000 0.995 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.0000 0.993 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.0000 0.993 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 0.0000 0.993 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.993 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.0000 0.993 1.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.993 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.0000 0.995 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.995 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.993 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.993 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.995 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.993 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.995 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.995 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 1 0.0000 0.993 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.995 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.0000 0.993 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.0000 0.993 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.995 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.0000 0.993 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 1 0.0000 0.993 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.0000 0.995 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9780 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.0000 0.9613 0.000 0.000 1.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9780 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.5254 0.6146 0.000 0.264 0.736
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.0000 0.9613 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9613 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9780 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9303 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9780 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9780 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9780 1.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.0000 0.9613 0.000 0.000 1.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9303 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9780 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.4605 0.7170 0.000 0.204 0.796
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9303 0.000 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9780 1.000 0.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 3 0.0000 0.9613 0.000 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9613 0.000 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4555 0.7447 0.000 0.800 0.200
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9613 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 3 0.8264 0.0242 0.076 0.436 0.488
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9303 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9780 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.4702 0.7290 0.000 0.788 0.212
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0000 0.9613 0.000 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9303 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9613 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.0000 0.9780 1.000 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9303 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9613 0.000 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 3 0.6299 0.1351 0.476 0.000 0.524
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.6180 0.2404 0.000 0.416 0.584
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#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 3 0.0000 0.9613 0.000 0.000 1.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9303 0.000 1.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9780 1.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9303 0.000 1.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 3 0.0000 0.9613 0.000 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.0000 0.9613 0.000 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.9780 1.000 0.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9303 0.000 1.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9780 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 3 0.0000 0.9613 0.000 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9303 0.000 1.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 3 0.0000 0.9613 0.000 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 1 0.6302 -0.0268 0.520 0.480 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.5591 0.5844 0.000 0.696 0.304
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9303 0.000 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9780 1.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9303 0.000 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9303 0.000 1.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.9303 0.000 1.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9303 0.000 1.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9780 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9303 0.000 1.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0237 0.9278 0.000 0.996 0.004
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9780 1.000 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.0000 0.9613 0.000 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9780 1.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.0000 0.9613 0.000 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.3038 0.8495 0.104 0.896 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.1031 0.9141 0.024 0.976 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.9613 0.000 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9303 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9303 0.000 1.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.9780 1.000 0.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.9613 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.0000 0.9613 0.000 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.0000 0.9613 0.000 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.9303 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9303 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0000 0.9613 0.000 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 3 0.0000 0.9613 0.000 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.0000 0.9613 0.000 0.000 1.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9780 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.9780 1.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9303 0.000 1.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.9303 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.5327 0.6459 0.272 0.728 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 3 0.0000 0.9613 0.000 0.000 1.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9780 1.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9780 1.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.9780 1.000 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.0000 0.9613 0.000 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9303 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.5431 0.6263 0.284 0.716 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 3 0.0000 0.9613 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9780 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.6267 0.2281 0.000 0.548 0.452
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.9613 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9780 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.0000 0.9780 1.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9303 0.000 1.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9780 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.4555 0.7232 0.000 0.200 0.800
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9303 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.0000 0.9613 0.000 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9780 1.000 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9780 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.0000 0.9613 0.000 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9780 1.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9780 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9780 1.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.6111 0.3009 0.000 0.396 0.604
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0424 0.9251 0.008 0.992 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9780 1.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9303 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.0000 0.9613 0.000 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9780 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.9613 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0000 0.9613 0.000 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9780 1.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.9613 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0000 0.9613 0.000 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9613 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.6309 0.1053 0.496 0.504 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9780 1.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9780 1.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9303 0.000 1.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.9613 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9303 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.0000 0.9613 0.000 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9303 0.000 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9303 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9303 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9780 1.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9303 0.000 1.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9780 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0000 0.9613 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.6299 0.1475 0.000 0.524 0.476
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9780 1.000 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9780 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.0000 0.9613 0.000 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9780 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.6244 0.2650 0.000 0.560 0.440
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.9303 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9303 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.9613 0.000 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9303 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9303 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.9613 0.000 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9303 0.000 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9303 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9613 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0188 0.9870 0.996 0.000 0.004 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.4898 0.3472 0.000 0.000 0.584 0.416
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5288 0.0943 0.000 0.520 0.008 0.472
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.4804 0.4250 0.000 0.000 0.616 0.384
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4855 0.3876 0.000 0.000 0.600 0.400
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.0336 0.9843 0.992 0.000 0.008 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 4 0.1389 0.9389 0.000 0.000 0.048 0.952
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0336 0.9815 0.000 0.000 0.008 0.992
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.7714 -0.0716 0.000 0.400 0.376 0.224
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4585 0.5329 0.000 0.000 0.668 0.332
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.2149 0.8698 0.088 0.912 0.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.0336 0.9251 0.000 0.008 0.992 0.000
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#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0336 0.9843 0.992 0.000 0.008 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.3400 0.7664 0.000 0.820 0.180 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.3024 0.8018 0.148 0.852 0.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0188 0.9522 0.004 0.996 0.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0336 0.9843 0.992 0.000 0.008 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0188 0.9522 0.004 0.996 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 3 0.0921 0.9120 0.000 0.028 0.972 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 3 0.2149 0.8518 0.000 0.088 0.912 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.4888 0.2703 0.000 0.588 0.412 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.0336 0.9815 0.000 0.000 0.008 0.992
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 424A05C2-C0C2-439A-A483-E959810E155B 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.1545 0.9359 0.040 0.000 0.008 0.952
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0336 0.9499 0.008 0.992 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4898 0.3472 0.000 0.000 0.584 0.416
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0469 0.9469 0.012 0.988 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0336 0.9843 0.992 0.000 0.008 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.0707 0.9219 0.000 0.000 0.980 0.020
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9896 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0336 0.9290 0.000 0.000 0.992 0.008
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0336 0.9251 0.000 0.008 0.992 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 4 0.0000 0.9878 0.000 0.000 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9541 0.000 1.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.4916 0.2363 0.000 0.576 0.424 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 4 0.0000 0.9878 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.4045 0.4456 0.000 0.000 0.356 0.644 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.3210 0.7158 0.000 0.000 0.788 0.212 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.0880 0.9032 0.032 0.000 0.000 0.968 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3074 0.7371 0.000 0.000 0.804 0.000 0.196
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.5993 0.3681 0.000 0.580 0.248 0.172 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.4161 0.3895 0.000 0.000 0.608 0.000 0.392
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.4161 0.3895 0.000 0.000 0.608 0.000 0.392
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.4273 0.1989 0.552 0.000 0.000 0.448 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 3 0.5151 0.2973 0.000 0.396 0.560 0.000 0.044
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.4192 0.3587 0.000 0.000 0.596 0.000 0.404
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.3508 0.6489 0.252 0.748 0.000 0.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
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#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 5 0.0162 0.9396 0.000 0.004 0.000 0.000 0.996
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 41445787-7763-458C-9FC9-744922C0FD8F 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.4283 0.2073 0.000 0.000 0.544 0.000 0.456
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0162 0.9629 0.000 0.996 0.000 0.000 0.004
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.2020 0.8318 0.000 0.000 0.100 0.000 0.900
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.2966 0.7621 0.000 0.816 0.000 0.000 0.184
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.3143 0.7188 0.204 0.796 0.000 0.000 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.2690 0.7898 0.000 0.000 0.844 0.156 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.4060 0.4766 0.000 0.360 0.000 0.000 0.640
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.3109 0.7309 0.000 0.000 0.200 0.800 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0290 0.9587 0.008 0.992 0.000 0.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.3561 0.6394 0.000 0.000 0.260 0.740 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.4192 0.3124 0.596 0.000 0.000 0.404 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.3074 0.7371 0.000 0.000 0.804 0.000 0.196
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2690 0.7837 0.156 0.844 0.000 0.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0000 0.9308 0.000 0.000 0.000 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.3109 0.7024 0.000 0.000 0.200 0.000 0.800
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9871 1.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.0000 0.9432 0.000 0.000 0.000 0.000 1.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9665 0.000 1.000 0.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.3999 0.5108 0.000 0.344 0.000 0.000 0.656
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9469 0.000 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.3737 0.3190 0.000 0.000 0.000 0.608 0.000 0.392
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.3198 0.5646 0.000 0.000 0.740 0.000 0.260 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2003 0.8112 0.000 0.000 0.116 0.000 0.884 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.2260 0.8262 0.000 0.000 0.000 0.140 0.000 0.860
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 3 0.0937 0.8865 0.000 0.000 0.960 0.000 0.040 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.0000 0.9134 0.000 0.000 1.000 0.000 0.000 0.000
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#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.4294 0.6212 0.000 0.060 0.000 0.692 0.000 0.248
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.0000 0.9134 0.000 0.000 1.000 0.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.1556 0.8443 0.000 0.920 0.000 0.000 0.080 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2996 0.8307 0.000 0.772 0.000 0.000 0.228 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 6 0.0405 0.9465 0.000 0.008 0.000 0.000 0.004 0.988
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.3961 0.1815 0.556 0.000 0.000 0.440 0.004 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.3847 0.2019 0.000 0.000 0.544 0.000 0.000 0.456
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.3403 0.8292 0.020 0.768 0.000 0.000 0.212 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.0937 0.8581 0.000 0.040 0.000 0.000 0.960 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.1141 0.8508 0.000 0.052 0.000 0.000 0.948 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 6 0.0405 0.9465 0.000 0.008 0.000 0.000 0.004 0.988
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.1556 0.8443 0.000 0.920 0.000 0.000 0.080 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2969 0.8319 0.000 0.776 0.000 0.000 0.224 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.2883 0.6125 0.000 0.212 0.000 0.000 0.788 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.3101 0.8185 0.000 0.756 0.000 0.000 0.244 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.0000 0.9134 0.000 0.000 1.000 0.000 0.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0146 0.9224 0.000 0.000 0.000 0.996 0.004 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.0632 0.8988 0.000 0.000 0.976 0.000 0.000 0.024
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0000 0.9134 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 3 0.0260 0.9091 0.000 0.000 0.992 0.000 0.008 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.3244 0.8057 0.000 0.732 0.000 0.000 0.268 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 6 0.0146 0.9513 0.000 0.004 0.000 0.000 0.000 0.996
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2996 0.8307 0.000 0.772 0.000 0.000 0.228 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1556 0.8443 0.000 0.920 0.000 0.000 0.080 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.0865 0.8599 0.000 0.036 0.000 0.000 0.964 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.3636 0.5185 0.000 0.004 0.320 0.000 0.676 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.0000 0.9534 0.000 0.000 0.000 0.000 0.000 1.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.417 0.702 0.865 0.4574 0.500 0.500
#> 3 3 0.683 0.755 0.899 0.4056 0.688 0.463
#> 4 4 0.582 0.739 0.811 0.1083 0.897 0.726
#> 5 5 0.687 0.737 0.840 0.0737 0.909 0.715
#> 6 6 0.755 0.571 0.795 0.0751 0.847 0.468
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.000 0.87017 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.163 0.76129 0.024 0.976
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.000 0.87017 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.788 0.71768 0.236 0.764
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.000 0.77529 0.000 1.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.000 0.77529 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.000 0.87017 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.963 0.55812 0.388 0.612
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.000 0.87017 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.000 0.87017 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.000 0.87017 1.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.260 0.74759 0.044 0.956
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.913 0.63171 0.328 0.672
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.000 0.87017 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.788 0.71768 0.236 0.764
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 1 0.634 0.72923 0.840 0.160
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.961 0.15505 0.616 0.384
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.788 0.71768 0.236 0.764
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.000 0.77529 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.788 0.71768 0.236 0.764
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.000 0.77529 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.966 0.55228 0.392 0.608
#> C2F905E0-1D20-4582-8656-A2022521ED06 1 0.000 0.87017 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.000 0.87017 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.788 0.71768 0.236 0.764
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.000 0.77529 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.966 0.55228 0.392 0.608
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.000 0.77529 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.978 0.04972 0.588 0.412
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 1 0.644 0.72434 0.836 0.164
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.000 0.77529 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.988 -0.05180 0.564 0.436
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.966 0.55228 0.392 0.608
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.000 0.77529 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.000 0.77529 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.000 0.87017 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.966 0.55228 0.392 0.608
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.000 0.77529 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.000 0.87017 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.000 0.77529 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 1 0.991 -0.02799 0.556 0.444
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.955 0.57418 0.376 0.624
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 1 0.644 0.72434 0.836 0.164
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.000 0.87017 1.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.000 0.87017 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.000 0.87017 1.000 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 2 0.000 0.77529 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 2 0.000 0.77529 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.000 0.87017 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 2 0.000 0.77529 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 2 0.000 0.77529 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.000 0.87017 1.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.000 0.87017 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 2 0.000 0.77529 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.000 0.87017 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 1 0.871 0.50510 0.708 0.292
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.000 0.87017 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.966 0.55228 0.392 0.608
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.966 0.55228 0.392 0.608
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 2 0.000 0.77529 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.000 0.87017 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.988 -0.05180 0.564 0.436
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.788 0.71768 0.236 0.764
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 2 0.000 0.77529 0.000 1.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.000 0.87017 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.000 0.77529 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.966 0.55228 0.392 0.608
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.000 0.87017 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.000 0.87017 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.000 0.77529 0.000 1.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.000 0.87017 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.966 0.55228 0.392 0.608
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.000 0.87017 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.000 0.87017 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.402 0.76172 0.080 0.920
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 1.000 0.26063 0.496 0.504
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.000 0.87017 1.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 1 0.000 0.87017 1.000 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.000 0.87017 1.000 0.000
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#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.000 0.87017 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.000 0.87017 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.788 0.71768 0.236 0.764
#> 29968837-2519-4D95-91CE-EC981D6781DC 1 0.260 0.84376 0.956 0.044
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.000 0.87017 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 1 0.278 0.84093 0.952 0.048
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.988 0.46892 0.436 0.564
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.000 0.87017 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.000 0.77529 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.000 0.77529 0.000 1.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.988 -0.05180 0.564 0.436
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.000 0.77529 0.000 1.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.000 0.77529 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.000 0.77529 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 1 0.000 0.87017 1.000 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.000 0.87017 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.000 0.87017 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.969 0.54458 0.396 0.604
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.000 0.77529 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 1 0.260 0.84376 0.956 0.044
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.966 0.55228 0.392 0.608
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 1 0.881 0.48799 0.700 0.300
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 1 0.963 0.21354 0.612 0.388
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 1 1.000 -0.21148 0.512 0.488
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.000 0.87017 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 1 0.278 0.84093 0.952 0.048
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.000 0.87017 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.000 0.77529 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.788 0.71768 0.236 0.764
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.541 0.75778 0.876 0.124
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.000 0.87017 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.788 0.71768 0.236 0.764
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.000 0.87017 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.788 0.71768 0.236 0.764
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.966 0.55228 0.392 0.608
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.966 0.55228 0.392 0.608
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.788 0.71768 0.236 0.764
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 1 0.260 0.84376 0.956 0.044
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 1 0.662 0.71383 0.828 0.172
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.000 0.77529 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 1 0.662 0.71383 0.828 0.172
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.966 0.55228 0.392 0.608
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.000 0.77529 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8475 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.2066 0.8865 0.000 0.060 0.940
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.8475 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.8825 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.3412 0.8530 0.000 0.124 0.876
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.9129 0.000 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.8475 1.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.8825 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.8475 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.8475 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.0000 0.8475 1.000 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.5291 0.6908 0.000 0.268 0.732
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.8825 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0747 0.8441 0.984 0.016 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0892 0.8723 0.000 0.980 0.020
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6252 0.2370 0.444 0.556 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.6286 0.2860 0.536 0.464 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.8825 0.000 1.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9129 0.000 0.000 1.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.8825 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0000 0.9129 0.000 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.8825 0.000 1.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.6307 0.1330 0.488 0.512 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.8475 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.8825 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.3412 0.8530 0.000 0.124 0.876
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.8825 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0000 0.9129 0.000 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.6309 -0.1814 0.496 0.504 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.6008 0.3931 0.372 0.628 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9129 0.000 0.000 1.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.6286 0.2860 0.536 0.464 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.8825 0.000 1.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.0000 0.9129 0.000 0.000 1.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.9129 0.000 0.000 1.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.8475 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.8825 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.1643 0.8558 0.000 0.956 0.044
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1031 0.8423 0.976 0.024 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3412 0.8530 0.000 0.124 0.876
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0747 0.8727 0.016 0.984 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.8825 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.6244 0.2444 0.440 0.560 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 1 0.1031 0.8423 0.976 0.024 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.8475 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 1 0.4750 0.6844 0.784 0.216 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9129 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.9129 0.000 0.000 1.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.8475 1.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.9129 0.000 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.9129 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.0000 0.8475 1.000 0.000 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.8475 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.9129 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.8475 1.000 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.8825 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1031 0.8423 0.976 0.024 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.8825 0.000 1.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0237 0.8801 0.004 0.996 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.9129 0.000 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.8475 1.000 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.6286 0.2860 0.536 0.464 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.8825 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0000 0.9129 0.000 0.000 1.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1031 0.8423 0.976 0.024 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.3412 0.8530 0.000 0.124 0.876
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.8825 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.8475 1.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.8475 1.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.1964 0.8883 0.000 0.056 0.944
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.8475 1.000 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.8825 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.8475 1.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.8475 1.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0892 0.8723 0.000 0.980 0.020
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.8825 0.000 1.000 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.0000 0.8475 1.000 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 1 0.6235 0.1513 0.564 0.436 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.8475 1.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.5363 0.5673 0.276 0.724 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 1 0.6095 0.2493 0.608 0.392 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.1031 0.8423 0.976 0.024 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.8475 1.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.6244 0.2444 0.440 0.560 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.8475 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.8475 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.1031 0.8423 0.976 0.024 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0592 0.8754 0.012 0.988 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 2 0.0000 0.8825 0.000 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.8825 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0000 0.9129 0.000 0.000 1.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.8825 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.6286 0.2860 0.536 0.464 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.8825 0.000 1.000 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 1 0.6168 0.1920 0.588 0.412 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.6095 0.2493 0.608 0.392 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.8475 1.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.1031 0.8697 0.000 0.976 0.024
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.4702 0.6678 0.212 0.788 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.8825 0.000 1.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.8475 1.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.8825 0.000 1.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.1031 0.8697 0.000 0.976 0.024
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.9129 0.000 0.000 1.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.0000 0.9129 0.000 0.000 1.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.5859 0.4400 0.344 0.656 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.0592 0.8746 0.012 0.988 0.000
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.9129 0.000 0.000 1.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.1031 0.8423 0.976 0.024 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.8475 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.6286 0.2025 0.464 0.536 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.8475 1.000 0.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.8475 1.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.0000 0.9129 0.000 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.1964 0.8405 0.056 0.944 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 3 0.3412 0.8530 0.000 0.124 0.876
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.1031 0.8423 0.976 0.024 0.000
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.6140 0.4043 0.596 0.404 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.8825 0.000 1.000 0.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.8825 0.000 1.000 0.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.1031 0.8423 0.976 0.024 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.2066 0.8864 0.000 0.060 0.940
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.8825 0.000 1.000 0.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.3412 0.7716 0.124 0.876 0.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.8825 0.000 1.000 0.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.8825 0.000 1.000 0.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.1031 0.8423 0.976 0.024 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.8475 1.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 2 0.6204 0.0681 0.424 0.576 0.000
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.5733 0.4041 0.000 0.676 0.324
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.8825 0.000 1.000 0.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 3 0.0424 0.9097 0.000 0.008 0.992
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#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0000 0.9129 0.000 0.000 1.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0892 0.8723 0.000 0.980 0.020
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.6126 0.4115 0.600 0.400 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.8475 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0892 0.8723 0.000 0.980 0.020
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8475 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.1031 0.8697 0.000 0.976 0.024
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.8825 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.8825 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0892 0.8723 0.000 0.980 0.020
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.6244 0.2444 0.440 0.560 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2066 0.8368 0.060 0.940 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.9129 0.000 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3340 0.7761 0.120 0.880 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.8825 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9129 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.6663 0.710 0.000 0.124 0.596 0.280
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.2081 0.789 0.000 0.916 0.000 0.084
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6663 0.710 0.000 0.124 0.596 0.280
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0469 0.809 0.000 0.988 0.000 0.012
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.5558 0.611 0.324 0.036 0.000 0.640
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.6663 0.710 0.000 0.124 0.596 0.280
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.806 0.000 1.000 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4477 0.651 0.312 0.000 0.000 0.688
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.1716 0.795 0.000 0.936 0.000 0.064
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.6402 0.579 0.268 0.624 0.000 0.108
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3400 0.659 0.000 0.180 0.000 0.820
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.4193 0.654 0.000 0.732 0.000 0.268
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0592 0.806 0.000 0.984 0.000 0.016
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1174 0.847 0.000 0.020 0.968 0.012
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3907 0.779 0.000 0.768 0.000 0.232
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.7054 0.403 0.320 0.536 0.000 0.144
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0188 0.805 0.000 0.996 0.000 0.004
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.6240 0.762 0.000 0.136 0.664 0.200
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.2345 0.815 0.000 0.900 0.000 0.100
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0336 0.850 0.000 0.000 0.992 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.1474 0.701 0.000 0.052 0.000 0.948
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5330 0.738 0.132 0.748 0.000 0.120
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1022 0.690 0.000 0.032 0.000 0.968
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.2760 0.781 0.000 0.872 0.000 0.128
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.5938 0.779 0.000 0.136 0.696 0.168
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.5000 -0.339 0.500 0.000 0.000 0.500
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.2408 0.813 0.000 0.896 0.000 0.104
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.2300 0.780 0.000 0.920 0.064 0.016
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.3311 0.730 0.172 0.000 0.000 0.828
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.6240 0.762 0.000 0.136 0.664 0.200
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.3161 0.805 0.012 0.864 0.000 0.124
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.806 0.000 1.000 0.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.6422 0.600 0.248 0.632 0.000 0.120
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.4995 0.683 0.248 0.032 0.000 0.720
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 4 0.5383 0.699 0.128 0.128 0.000 0.744
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1302 0.915 0.956 0.000 0.000 0.044
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 4 0.4776 0.564 0.376 0.000 0.000 0.624
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.5000 0.321 0.500 0.000 0.000 0.500
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.4697 0.592 0.356 0.000 0.000 0.644
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.2868 0.806 0.000 0.864 0.000 0.136
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.4008 0.706 0.244 0.000 0.000 0.756
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.2530 0.789 0.000 0.888 0.000 0.112
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4790 0.655 0.000 0.620 0.000 0.380
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.4989 0.390 0.472 0.000 0.000 0.528
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.0921 0.689 0.000 0.028 0.000 0.972
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.1211 0.801 0.000 0.960 0.000 0.040
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.3219 0.731 0.164 0.000 0.000 0.836
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.6170 0.767 0.000 0.136 0.672 0.192
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.2589 0.810 0.000 0.884 0.000 0.116
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.5000 0.332 0.496 0.000 0.000 0.504
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.5897 0.781 0.000 0.136 0.700 0.164
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.5000 -0.339 0.500 0.000 0.000 0.500
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.1867 0.805 0.000 0.928 0.000 0.072
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.4193 0.654 0.000 0.732 0.000 0.268
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.2868 0.806 0.000 0.864 0.000 0.136
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.4776 0.565 0.376 0.000 0.000 0.624
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.7371 0.435 0.244 0.524 0.000 0.232
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.3441 0.803 0.024 0.856 0.000 0.120
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.7714 0.112 0.332 0.432 0.000 0.236
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 4 0.4995 0.683 0.248 0.032 0.000 0.720
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.7293 0.456 0.248 0.536 0.000 0.216
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.4040 0.704 0.248 0.000 0.000 0.752
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.2999 0.806 0.004 0.864 0.000 0.132
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 2 0.3219 0.804 0.000 0.836 0.000 0.164
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.2814 0.808 0.000 0.868 0.000 0.132
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.2589 0.810 0.000 0.884 0.000 0.116
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.0817 0.698 0.000 0.024 0.000 0.976
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.3400 0.802 0.000 0.820 0.000 0.180
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.7128 0.386 0.320 0.528 0.000 0.152
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.7732 0.112 0.324 0.432 0.000 0.244
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0592 0.802 0.000 0.984 0.000 0.016
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.3907 0.740 0.000 0.768 0.000 0.232
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.4134 0.659 0.000 0.740 0.000 0.260
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 4 0.4981 0.415 0.464 0.000 0.000 0.536
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.1557 0.801 0.000 0.944 0.000 0.056
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0707 0.802 0.000 0.980 0.000 0.020
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.3402 0.817 0.000 0.004 0.832 0.164
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 2 0.6221 0.585 0.076 0.608 0.000 0.316
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.4304 0.643 0.000 0.716 0.000 0.284
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 4 0.3801 0.716 0.220 0.000 0.000 0.780
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.6620 0.472 0.320 0.576 0.000 0.104
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.2868 0.768 0.864 0.000 0.000 0.136
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.0469 0.850 0.000 0.000 0.988 0.012
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.3161 0.805 0.012 0.864 0.000 0.124
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 3 0.6618 0.717 0.000 0.124 0.604 0.272
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 4 0.4008 0.706 0.244 0.000 0.000 0.756
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 4 0.1022 0.704 0.000 0.032 0.000 0.968
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0188 0.805 0.000 0.996 0.000 0.004
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.806 0.000 1.000 0.000 0.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 4 0.3266 0.730 0.168 0.000 0.000 0.832
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.6265 0.756 0.000 0.124 0.656 0.220
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0188 0.805 0.000 0.996 0.000 0.004
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.3873 0.784 0.000 0.772 0.000 0.228
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.2345 0.814 0.000 0.900 0.000 0.100
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.4193 0.674 0.000 0.732 0.000 0.268
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 4 0.4040 0.704 0.248 0.000 0.000 0.752
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 4 0.1867 0.702 0.000 0.072 0.000 0.928
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.7790 -0.113 0.000 0.424 0.304 0.272
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.2868 0.806 0.000 0.864 0.000 0.136
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 3 0.5849 0.783 0.000 0.132 0.704 0.164
#> F1565477-7479-4777-BD07-C6480B421166 2 0.3873 0.783 0.000 0.772 0.000 0.228
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.2589 0.816 0.000 0.884 0.000 0.116
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.2868 0.806 0.000 0.864 0.000 0.136
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.5160 0.632 0.000 0.748 0.180 0.072
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 3 0.6663 0.710 0.000 0.124 0.596 0.280
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 3 0.6663 0.710 0.000 0.124 0.596 0.280
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 4 0.3306 0.600 0.000 0.156 0.004 0.840
#> E7901BA6-1472-4395-8275-F54D06F71621 4 0.0921 0.689 0.000 0.028 0.000 0.972
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0188 0.805 0.000 0.996 0.000 0.004
#> C713D324-E0EB-4F37-8B80-0674A57344E1 3 0.6240 0.762 0.000 0.136 0.664 0.200
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.1474 0.905 0.948 0.000 0.000 0.052
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 4 0.4072 0.701 0.252 0.000 0.000 0.748
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 3 0.0000 0.851 0.000 0.000 1.000 0.000
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#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.4356 0.669 0.292 0.000 0.000 0.708
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.7293 0.456 0.248 0.536 0.000 0.216
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.5000 0.321 0.500 0.000 0.000 0.500
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.0469 0.850 0.000 0.000 0.988 0.012
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0469 0.803 0.000 0.988 0.000 0.012
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.0707 0.697 0.000 0.020 0.000 0.980
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.2469 0.780 0.000 0.892 0.000 0.108
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.965 1.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0592 0.802 0.000 0.984 0.000 0.016
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.3688 0.789 0.000 0.792 0.000 0.208
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2868 0.806 0.000 0.864 0.000 0.136
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.4277 0.651 0.000 0.720 0.000 0.280
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.7293 0.456 0.248 0.536 0.000 0.216
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.3161 0.805 0.012 0.864 0.000 0.124
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0000 0.851 0.000 0.000 1.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.3161 0.805 0.012 0.864 0.000 0.124
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.2345 0.814 0.000 0.900 0.000 0.100
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.851 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.3055 0.7726 0.000 0.864 0.072 0.064 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.5203 0.6245 0.000 0.272 0.000 0.080 0.648
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.1310 0.7854 0.000 0.956 0.020 0.024 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.0162 0.9695 0.000 0.004 0.996 0.000 0.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.2732 0.7256 0.000 0.160 0.000 0.000 0.840
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 4 0.4364 0.6764 0.016 0.020 0.000 0.740 0.224
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.2616 0.7771 0.000 0.880 0.020 0.100 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.4021 0.7022 0.000 0.200 0.000 0.036 0.764
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2077 0.8086 0.084 0.008 0.000 0.908 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.4074 0.6095 0.000 0.364 0.000 0.000 0.636
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.2664 0.7179 0.004 0.020 0.000 0.092 0.884
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1907 0.8288 0.000 0.028 0.000 0.928 0.044
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2595 0.7810 0.000 0.888 0.000 0.080 0.032
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.4972 0.6449 0.000 0.260 0.000 0.068 0.672
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3636 0.6078 0.000 0.272 0.728 0.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 5 0.5421 0.6125 0.000 0.276 0.000 0.096 0.628
#> C2F905E0-1D20-4582-8656-A2022521ED06 5 0.4007 0.6077 0.004 0.020 0.000 0.220 0.756
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.3913 0.6393 0.000 0.324 0.000 0.000 0.676
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.4114 0.6170 0.000 0.776 0.060 0.000 0.164
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.1469 0.7530 0.000 0.016 0.000 0.036 0.948
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.2424 0.8570 0.000 0.132 0.868 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.4440 0.0696 0.000 0.468 0.000 0.528 0.004
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.1430 0.7437 0.004 0.000 0.000 0.052 0.944
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.3999 0.4234 0.000 0.656 0.000 0.344 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.5265 0.6126 0.000 0.284 0.000 0.080 0.636
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2561 0.7036 0.000 0.856 0.144 0.000 0.000
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.3816 0.5720 0.304 0.000 0.000 0.696 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.1197 0.7552 0.000 0.048 0.000 0.000 0.952
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.4862 0.5789 0.000 0.364 0.032 0.000 0.604
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.1124 0.8236 0.004 0.036 0.000 0.960 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.4152 0.6100 0.000 0.772 0.060 0.000 0.168
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.4276 0.7017 0.000 0.168 0.000 0.068 0.764
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.2103 0.7346 0.004 0.020 0.000 0.056 0.920
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.4449 0.6096 0.004 0.020 0.000 0.688 0.288
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 4 0.4672 0.6323 0.004 0.032 0.000 0.680 0.284
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.1043 0.9365 0.960 0.000 0.000 0.040 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 4 0.4289 0.7045 0.024 0.020 0.000 0.764 0.192
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 4 0.4015 0.4926 0.348 0.000 0.000 0.652 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.2124 0.8209 0.028 0.000 0.000 0.916 0.056
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 5 0.0609 0.7510 0.000 0.020 0.000 0.000 0.980
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.1557 0.8292 0.008 0.000 0.000 0.940 0.052
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 5 0.5203 0.6248 0.000 0.272 0.000 0.080 0.648
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.3159 0.7683 0.000 0.856 0.000 0.088 0.056
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.3534 0.6461 0.256 0.000 0.000 0.744 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.3366 0.6420 0.000 0.232 0.000 0.768 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.5039 0.6451 0.000 0.244 0.000 0.080 0.676
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 3 0.0162 0.9695 0.000 0.004 0.996 0.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1197 0.8207 0.000 0.048 0.000 0.952 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.1697 0.7611 0.000 0.932 0.060 0.000 0.008
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3561 0.6409 0.260 0.000 0.000 0.740 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 2 0.1544 0.7578 0.000 0.932 0.068 0.000 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.3774 0.5818 0.296 0.000 0.000 0.704 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 5 0.5039 0.6462 0.000 0.244 0.000 0.080 0.676
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0880 0.7792 0.000 0.968 0.000 0.000 0.032
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 5 0.0404 0.7533 0.000 0.012 0.000 0.000 0.988
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.2228 0.8124 0.076 0.004 0.000 0.908 0.012
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.4286 0.5688 0.004 0.020 0.000 0.260 0.716
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0880 0.9480 0.968 0.000 0.000 0.032 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.0162 0.7551 0.000 0.004 0.000 0.000 0.996
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 5 0.4862 0.4319 0.012 0.020 0.000 0.328 0.640
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 4 0.2554 0.8102 0.008 0.020 0.000 0.896 0.076
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 5 0.4007 0.6077 0.004 0.020 0.000 0.220 0.756
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.1331 0.8314 0.008 0.000 0.000 0.952 0.040
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 5 0.0609 0.7510 0.000 0.020 0.000 0.000 0.980
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 5 0.5309 0.6597 0.000 0.164 0.000 0.160 0.676
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 5 0.0404 0.7563 0.000 0.000 0.000 0.012 0.988
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 4 0.3562 0.6745 0.000 0.196 0.000 0.788 0.016
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 5 0.5530 0.6527 0.000 0.228 0.000 0.132 0.640
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 5 0.4067 0.5977 0.004 0.020 0.000 0.228 0.748
#> 54835A82-ED8A-440C-B092-743CECBD1528 5 0.4862 0.4319 0.012 0.020 0.000 0.328 0.640
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.4060 0.6121 0.000 0.360 0.000 0.000 0.640
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 5 0.3621 0.6452 0.000 0.020 0.000 0.192 0.788
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.2676 0.7801 0.000 0.884 0.000 0.080 0.036
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 4 0.2929 0.7457 0.180 0.000 0.000 0.820 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 5 0.5088 0.6422 0.000 0.252 0.000 0.080 0.668
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.4074 0.6090 0.000 0.364 0.000 0.000 0.636
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 2 0.3949 0.4804 0.000 0.696 0.300 0.004 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 5 0.4658 0.1874 0.000 0.012 0.000 0.484 0.504
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.3019 0.7725 0.000 0.864 0.000 0.088 0.048
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 4 0.0740 0.8302 0.004 0.008 0.000 0.980 0.008
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 5 0.3381 0.6744 0.004 0.016 0.000 0.160 0.820
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.3966 0.4828 0.664 0.000 0.000 0.336 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 3 0.2471 0.8522 0.000 0.136 0.864 0.000 0.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 2 0.1661 0.7828 0.000 0.940 0.036 0.024 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 4 0.1571 0.8267 0.004 0.000 0.000 0.936 0.060
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 4 0.1121 0.8210 0.000 0.044 0.000 0.956 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 5 0.3561 0.6850 0.000 0.260 0.000 0.000 0.740
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 5 0.3366 0.6982 0.000 0.232 0.000 0.000 0.768
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 4 0.1285 0.8251 0.004 0.036 0.000 0.956 0.004
#> 66B28FC4-B101-4745-8495-49EB475F9750 2 0.2300 0.7676 0.000 0.904 0.072 0.024 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 5 0.4854 0.6522 0.000 0.260 0.000 0.060 0.680
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 5 0.1597 0.7501 0.000 0.048 0.000 0.012 0.940
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.3239 0.7658 0.000 0.852 0.000 0.080 0.068
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 4 0.1571 0.8267 0.004 0.000 0.000 0.936 0.060
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 4 0.4437 0.0821 0.000 0.464 0.000 0.532 0.004
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.2630 0.7852 0.000 0.892 0.016 0.080 0.012
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.2230 0.7341 0.000 0.884 0.116 0.000 0.000
#> F1565477-7479-4777-BD07-C6480B421166 5 0.2974 0.7342 0.000 0.052 0.000 0.080 0.868
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#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.3635 0.6118 0.000 0.748 0.004 0.248 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.4060 0.6121 0.000 0.360 0.000 0.000 0.640
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 4 0.1205 0.8221 0.004 0.040 0.000 0.956 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.1800 0.7529 0.000 0.020 0.000 0.048 0.932
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0963 0.9448 0.964 0.000 0.000 0.036 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.4161 0.5871 0.000 0.392 0.000 0.000 0.608
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 5 0.4096 0.5944 0.004 0.020 0.000 0.232 0.744
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2835 0.7750 0.000 0.868 0.016 0.112 0.004
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.3039 0.6940 0.000 0.192 0.000 0.808 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.3355 0.7522 0.000 0.832 0.000 0.132 0.036
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.3395 0.6746 0.236 0.000 0.000 0.764 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 4 0.1908 0.8050 0.092 0.000 0.000 0.908 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.4161 0.5871 0.000 0.392 0.000 0.000 0.608
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.3852 0.6115 0.000 0.020 0.000 0.220 0.760
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.3796 0.5762 0.300 0.000 0.000 0.700 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.0609 0.7510 0.000 0.020 0.000 0.000 0.980
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3621 0.6942 0.000 0.788 0.000 0.192 0.020
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.1608 0.8236 0.000 0.000 0.000 0.928 0.072
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.1697 0.7611 0.000 0.932 0.060 0.000 0.008
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.4152 0.6100 0.000 0.772 0.060 0.000 0.168
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.4286 0.5688 0.004 0.020 0.000 0.260 0.716
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.1197 0.8207 0.000 0.048 0.000 0.952 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.1942 0.8213 0.012 0.000 0.000 0.920 0.068
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.2325 0.7398 0.000 0.028 0.000 0.068 0.904
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.1041 0.7497 0.000 0.004 0.000 0.032 0.964
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.3326 0.7429 0.000 0.824 0.000 0.152 0.024
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 5 0.1800 0.7519 0.000 0.020 0.000 0.048 0.932
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.0609 0.7510 0.000 0.020 0.000 0.000 0.980
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.2046 0.8197 0.016 0.000 0.000 0.916 0.068
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.4007 0.6077 0.004 0.020 0.000 0.220 0.756
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3816 0.5699 0.304 0.000 0.000 0.696 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.2329 0.8656 0.000 0.124 0.876 0.000 0.000
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.4045 0.6159 0.000 0.356 0.000 0.000 0.644
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1270 0.8189 0.000 0.052 0.000 0.948 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.4161 0.5871 0.000 0.392 0.000 0.000 0.608
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9695 1.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.4060 0.6121 0.000 0.360 0.000 0.000 0.640
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.5203 0.6239 0.000 0.272 0.000 0.080 0.648
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.2595 0.7810 0.000 0.888 0.000 0.080 0.032
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 5 0.3880 0.6272 0.004 0.020 0.000 0.204 0.772
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 5 0.1117 0.7479 0.000 0.020 0.000 0.016 0.964
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.0162 0.9695 0.000 0.004 0.996 0.000 0.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.0000 0.7559 0.000 0.000 0.000 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.9721 0.000 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.5975 0.30496 0.000 0.440 0.196 0.360 0.000 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.3741 0.46219 0.000 0.320 0.672 0.000 0.008 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.6191 0.23390 0.000 0.372 0.264 0.360 0.000 0.004
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 6 0.3741 0.55883 0.000 0.008 0.320 0.000 0.000 0.672
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.4836 0.47061 0.000 0.140 0.196 0.000 0.664 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.6100 -0.16938 0.000 0.360 0.000 0.284 0.356 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 2 0.5625 0.32519 0.000 0.500 0.136 0.360 0.000 0.004
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.5583 -0.09377 0.000 0.140 0.412 0.000 0.448 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.2793 0.60148 0.000 0.200 0.000 0.800 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.2260 0.65562 0.000 0.140 0.860 0.000 0.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.0363 0.82582 0.000 0.000 0.000 0.012 0.988 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.3899 0.64431 0.000 0.364 0.000 0.628 0.008 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.3684 0.05076 0.000 0.628 0.372 0.000 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.0146 0.92093 0.000 0.004 0.000 0.000 0.000 0.996
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 3 0.3489 0.50637 0.000 0.288 0.708 0.000 0.004 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.1398 0.63154 0.000 0.008 0.940 0.000 0.000 0.052
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0547 0.42966 0.000 0.980 0.020 0.000 0.000 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 5 0.0363 0.82582 0.000 0.000 0.000 0.012 0.988 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.2613 0.65006 0.000 0.140 0.848 0.000 0.012 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.0146 0.66262 0.000 0.004 0.996 0.000 0.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.0547 0.82379 0.000 0.020 0.000 0.000 0.980 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3043 0.50413 0.000 0.008 0.792 0.000 0.000 0.200
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0363 0.41349 0.000 0.988 0.000 0.012 0.000 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 6 0.0291 0.91908 0.000 0.004 0.004 0.000 0.000 0.992
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.3868 0.24292 0.000 0.508 0.000 0.492 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.3774 0.09373 0.000 0.592 0.408 0.000 0.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.5322 0.30141 0.000 0.216 0.596 0.000 0.000 0.188
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.0146 0.92094 0.000 0.004 0.000 0.000 0.000 0.996
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 4 0.3737 0.30031 0.392 0.000 0.000 0.608 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.3190 0.62427 0.000 0.008 0.220 0.000 0.772 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.0000 0.66388 0.000 0.000 1.000 0.000 0.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 4 0.3684 0.64427 0.000 0.372 0.000 0.628 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.0260 0.66087 0.000 0.008 0.992 0.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.5839 -0.17018 0.000 0.188 0.404 0.000 0.408 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 5 0.0260 0.82689 0.000 0.000 0.000 0.008 0.992 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 5 0.4941 0.26721 0.000 0.376 0.000 0.072 0.552 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5185 0.10149 0.000 0.512 0.000 0.092 0.396 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 6 0.0260 0.91934 0.000 0.008 0.000 0.000 0.000 0.992
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.6388 -0.26843 0.012 0.360 0.000 0.348 0.280 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.3727 0.29513 0.612 0.000 0.000 0.388 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.3915 0.08648 0.000 0.584 0.412 0.000 0.004 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.0260 0.42708 0.000 0.992 0.008 0.000 0.000 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 4 0.5029 0.51676 0.260 0.120 0.000 0.620 0.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 4 0.3747 -0.08696 0.000 0.396 0.000 0.604 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 3 0.3874 0.41038 0.000 0.356 0.636 0.000 0.008 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 6 0.2513 0.80112 0.000 0.008 0.140 0.000 0.000 0.852
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 4 0.1075 0.46711 0.000 0.048 0.000 0.952 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 3 0.0458 0.65743 0.000 0.016 0.984 0.000 0.000 0.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 5 0.1367 0.80526 0.000 0.044 0.012 0.000 0.944 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 4 0.3684 0.33680 0.372 0.000 0.000 0.628 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4380 0.40439 0.000 0.220 0.700 0.000 0.000 0.080
#> E130F8A6-004B-45B9-9322-BCB2F402E583 4 0.5003 0.61284 0.092 0.320 0.000 0.588 0.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.4018 0.08142 0.000 0.580 0.412 0.000 0.008 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 3 0.2300 0.65509 0.000 0.144 0.856 0.000 0.000 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 5 0.0146 0.82889 0.000 0.004 0.000 0.000 0.996 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.3887 0.64636 0.008 0.360 0.000 0.632 0.000 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.4903 0.29517 0.000 0.360 0.000 0.072 0.568 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0260 0.94989 0.992 0.000 0.000 0.008 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 5 0.2719 0.74724 0.012 0.040 0.000 0.072 0.876 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 4 0.4064 0.63798 0.000 0.360 0.000 0.624 0.016 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 5 0.0363 0.82582 0.000 0.000 0.000 0.012 0.988 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
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#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 3 0.3838 0.20805 0.000 0.448 0.552 0.000 0.000 0.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.4047 -0.12672 0.000 0.384 0.012 0.604 0.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.0405 0.82980 0.000 0.004 0.008 0.000 0.988 0.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.5521 0.17062 0.532 0.360 0.000 0.092 0.016 0.000
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 6 0.3424 0.71508 0.000 0.024 0.204 0.000 0.000 0.772
#> 41445787-7763-458C-9FC9-744922C0FD8F 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.3765 -0.01170 0.000 0.596 0.404 0.000 0.000 0.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.3923 -0.10278 0.000 0.372 0.008 0.620 0.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 5 0.0790 0.81245 0.000 0.032 0.000 0.000 0.968 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.4508 0.14952 0.000 0.568 0.000 0.036 0.396 0.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.0146 0.66262 0.000 0.004 0.996 0.000 0.000 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.7503 -0.17632 0.000 0.220 0.260 0.360 0.000 0.160
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.2513 0.70119 0.000 0.140 0.008 0.000 0.852 0.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 3 0.0146 0.66262 0.000 0.004 0.996 0.000 0.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.1007 0.46968 0.000 0.044 0.000 0.956 0.000 0.000
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#> 9BEDADE9-887F-4245-B827-26638F810303 5 0.4179 0.08891 0.472 0.000 0.000 0.012 0.516 0.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 3 0.3684 0.44835 0.000 0.332 0.664 0.000 0.004 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.4479 0.21912 0.000 0.624 0.004 0.036 0.336 0.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.0363 0.82582 0.000 0.000 0.000 0.012 0.988 0.000
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#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.5202 0.39981 0.000 0.188 0.196 0.000 0.616 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 5 0.5662 0.19263 0.000 0.196 0.280 0.000 0.524 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1075 0.46711 0.000 0.048 0.000 0.952 0.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.5108 0.28977 0.000 0.628 0.208 0.164 0.000 0.000
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.1075 0.91316 0.952 0.000 0.000 0.048 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.0260 0.42429 0.000 0.992 0.008 0.000 0.000 0.000
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.4265 0.19377 0.000 0.596 0.016 0.004 0.384 0.000
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.3791 0.30752 0.000 0.732 0.000 0.032 0.236 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.3103 0.62683 0.000 0.008 0.208 0.000 0.784 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 4 0.4356 0.62440 0.000 0.360 0.000 0.608 0.032 0.000
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 6 0.0260 0.91934 0.000 0.008 0.000 0.000 0.000 0.992
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.6095 -0.13855 0.000 0.280 0.360 0.000 0.000 0.360
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.4752 0.49338 0.000 0.140 0.184 0.000 0.676 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 6 0.0405 0.91747 0.000 0.008 0.004 0.000 0.000 0.988
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0865 0.44366 0.000 0.964 0.036 0.000 0.000 0.000
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.7397 -0.19844 0.000 0.248 0.268 0.360 0.000 0.124
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0547 0.93949 0.980 0.000 0.000 0.020 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.6972 -0.04363 0.380 0.360 0.000 0.084 0.176 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 3 0.5967 0.19495 0.000 0.224 0.404 0.000 0.372 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.4036 0.61082 0.000 0.136 0.108 0.000 0.756 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.3563 0.24888 0.000 0.664 0.000 0.000 0.336 0.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 2 0.5625 0.32519 0.000 0.500 0.136 0.360 0.000 0.004
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.6116 -0.25761 0.000 0.360 0.000 0.340 0.300 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.0000 0.66388 0.000 0.000 1.000 0.000 0.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 5 0.5605 0.14432 0.000 0.360 0.000 0.152 0.488 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.3881 0.36997 0.000 0.600 0.004 0.396 0.000 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.0458 0.66512 0.000 0.016 0.984 0.000 0.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 4 0.3866 0.53544 0.000 0.484 0.000 0.516 0.000 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.3578 0.49295 0.000 0.340 0.000 0.000 0.660 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0260 0.94989 0.992 0.000 0.000 0.008 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.2219 0.65640 0.000 0.136 0.864 0.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 5 0.0632 0.82095 0.000 0.000 0.000 0.024 0.976 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.2362 0.44849 0.000 0.860 0.136 0.004 0.000 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.2527 0.33982 0.000 0.168 0.000 0.832 0.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0405 0.41873 0.000 0.988 0.004 0.008 0.000 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 4 0.3647 0.35763 0.360 0.000 0.000 0.640 0.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 4 0.4587 0.63012 0.064 0.296 0.000 0.640 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.2260 0.65562 0.000 0.140 0.860 0.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.4823 0.25583 0.000 0.388 0.000 0.060 0.552 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.3841 0.32274 0.380 0.004 0.000 0.616 0.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.3807 0.39079 0.000 0.628 0.004 0.368 0.000 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 6 0.0260 0.91934 0.000 0.008 0.000 0.000 0.000 0.992
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.4238 0.57251 0.000 0.444 0.000 0.540 0.016 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 3 0.2883 0.47608 0.000 0.212 0.788 0.000 0.000 0.000
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.0260 0.66087 0.000 0.008 0.992 0.000 0.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.4948 0.28863 0.000 0.360 0.000 0.076 0.564 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 4 0.2793 0.59323 0.000 0.200 0.000 0.800 0.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.2266 0.75373 0.000 0.108 0.012 0.000 0.880 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.0405 0.82980 0.000 0.004 0.008 0.000 0.988 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0405 0.41873 0.000 0.988 0.004 0.008 0.000 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 5 0.2941 0.59286 0.000 0.220 0.000 0.000 0.780 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.3647 0.64844 0.000 0.360 0.000 0.640 0.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.0260 0.82689 0.000 0.000 0.000 0.008 0.992 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 4 0.3717 0.31430 0.384 0.000 0.000 0.616 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 6 0.4032 0.39000 0.000 0.008 0.420 0.000 0.000 0.572
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2260 0.65562 0.000 0.140 0.860 0.000 0.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.2697 0.30769 0.000 0.188 0.000 0.812 0.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.2219 0.65640 0.000 0.136 0.864 0.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.95569 1.000 0.000 0.000 0.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.2219 0.65640 0.000 0.136 0.864 0.000 0.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.3915 0.08648 0.000 0.584 0.412 0.000 0.004 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 5 0.0405 0.82980 0.000 0.004 0.008 0.000 0.988 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.3684 0.05076 0.000 0.628 0.372 0.000 0.000 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 5 0.0363 0.82582 0.000 0.000 0.000 0.012 0.988 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 5 0.0000 0.82820 0.000 0.000 0.000 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 6 0.4002 0.40049 0.000 0.008 0.404 0.000 0.000 0.588
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.0508 0.82942 0.000 0.004 0.012 0.000 0.984 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.0000 0.92214 0.000 0.000 0.000 0.000 0.000 1.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "mclust"]
# you can also extract it by
# res = res_list["ATC:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17420 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.726 0.903 0.948 0.4881 0.499 0.499
#> 3 3 0.754 0.810 0.911 0.2516 0.795 0.624
#> 4 4 0.738 0.834 0.896 0.1418 0.866 0.671
#> 5 5 0.588 0.571 0.699 0.0694 0.802 0.505
#> 6 6 0.648 0.653 0.788 0.0595 0.834 0.492
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.9078 1.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0000 0.9078 1.000 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.9078 1.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.9798 0.000 1.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.7674 0.7949 0.776 0.224
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.0000 0.9798 0.000 1.000
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.0000 0.9078 1.000 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9798 0.000 1.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.9078 1.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.9078 1.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.5842 0.8450 0.860 0.140
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.0000 0.9078 1.000 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9798 0.000 1.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.9078 1.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9798 0.000 1.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9798 0.000 1.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.0000 0.9078 1.000 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0000 0.9798 0.000 1.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 1 0.7815 0.7886 0.768 0.232
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9798 0.000 1.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.9798 0.000 1.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 1 0.8207 0.7588 0.744 0.256
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9798 0.000 1.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.9078 1.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9798 0.000 1.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9798 0.000 1.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9798 0.000 1.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.9798 0.000 1.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.7453 0.8034 0.788 0.212
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9798 0.000 1.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.9635 0.2394 0.388 0.612
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.7602 0.7977 0.780 0.220
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9798 0.000 1.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.2043 0.9460 0.032 0.968
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.7815 0.7886 0.768 0.232
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9078 1.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9798 0.000 1.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9798 0.000 1.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0000 0.9078 1.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.9798 0.000 1.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.9798 0.000 1.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.9798 0.000 1.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.9798 0.000 1.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9798 0.000 1.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.9078 1.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.9798 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.0376 0.9065 0.996 0.004
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 1 0.7815 0.7886 0.768 0.232
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.9078 1.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 1 0.7815 0.7886 0.768 0.232
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 1 0.7815 0.7886 0.768 0.232
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.1843 0.8974 0.972 0.028
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9078 1.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.7528 0.8003 0.784 0.216
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.0000 0.9078 1.000 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.9798 0.000 1.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.9078 1.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.9798 0.000 1.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2236 0.9416 0.036 0.964
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.6148 0.8386 0.848 0.152
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.0000 0.9078 1.000 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.9078 1.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.9798 0.000 1.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0000 0.9078 1.000 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0000 0.9078 1.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0000 0.9798 0.000 1.000
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.9798 0.000 1.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0000 0.9078 1.000 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0000 0.9078 1.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 1 0.8327 0.7478 0.736 0.264
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.0000 0.9078 1.000 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.9798 0.000 1.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0000 0.9078 1.000 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0000 0.9078 1.000 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.9798 0.000 1.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0000 0.9798 0.000 1.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.7815 0.7886 0.768 0.232
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.0376 0.9758 0.004 0.996
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0000 0.9078 1.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.9798 0.000 1.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0000 0.9798 0.000 1.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.0000 0.9078 1.000 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9078 1.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.9798 0.000 1.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.9078 1.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.9078 1.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.9078 1.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.9798 0.000 1.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.0000 0.9078 1.000 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 1 0.8386 0.7423 0.732 0.268
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 1 0.7815 0.7886 0.768 0.232
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.9798 0.000 1.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0000 0.9078 1.000 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0000 0.9798 0.000 1.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0000 0.9798 0.000 1.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.9608 0.2553 0.384 0.616
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0000 0.9078 1.000 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.9798 0.000 1.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.9000 0.4558 0.316 0.684
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.9798 0.000 1.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.9078 1.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.9798 0.000 1.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.9798 0.000 1.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 1 0.8763 0.7000 0.704 0.296
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.0938 0.9037 0.988 0.012
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.0000 0.9078 1.000 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 1 0.7815 0.7886 0.768 0.232
#> 14B59970-8F21-4201-9DA3-F78943A62534 1 0.8016 0.7741 0.756 0.244
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0000 0.9078 1.000 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.9078 1.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.9798 0.000 1.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.0000 0.9078 1.000 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.9078 1.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.0000 0.9798 0.000 1.000
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.9798 0.000 1.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.0000 0.9078 1.000 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.1184 0.9021 0.984 0.016
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0000 0.9078 1.000 0.000
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0000 0.9798 0.000 1.000
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0000 0.9798 0.000 1.000
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.0000 0.9078 1.000 0.000
#> 66B28FC4-B101-4745-8495-49EB475F9750 1 0.0000 0.9078 1.000 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0000 0.9798 0.000 1.000
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.0000 0.9798 0.000 1.000
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0000 0.9798 0.000 1.000
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 2 0.0000 0.9798 0.000 1.000
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.0000 0.9078 1.000 0.000
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0000 0.9078 1.000 0.000
#> 18855183-8342-4E16-8A63-A946A49E9421 1 0.7815 0.7886 0.768 0.232
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 1 0.7815 0.7886 0.768 0.232
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.0000 0.9798 0.000 1.000
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0000 0.9798 0.000 1.000
#> F1565477-7479-4777-BD07-C6480B421166 2 0.8608 0.5347 0.284 0.716
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.0000 0.9798 0.000 1.000
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 1 0.5059 0.8461 0.888 0.112
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0000 0.9798 0.000 1.000
#> 4DFACB1A-D95F-4FE4-833D-BE631E4FA101 1 0.8861 0.6869 0.696 0.304
#> 9A42B1DC-BD21-464D-8F1A-8035B819AF7B 1 0.0000 0.9078 1.000 0.000
#> 67DD82F9-EC4D-4789-86D9-41F63FDC6335 1 0.0000 0.9078 1.000 0.000
#> E7901BA6-1472-4395-8275-F54D06F71621 1 0.0000 0.9078 1.000 0.000
#> 51E4BF0A-8083-44A8-904A-B160B797C4EB 1 0.0000 0.9078 1.000 0.000
#> E8BC4CBF-A29C-4484-9183-D67C4DE34882 2 0.0000 0.9798 0.000 1.000
#> C713D324-E0EB-4F37-8B80-0674A57344E1 2 0.0000 0.9798 0.000 1.000
#> 7F174348-05CB-47F4-8F03-05D0CA1BA54B 1 0.7815 0.7886 0.768 0.232
#> 672F7EC5-0BC1-4770-B511-DB2069C920D0 1 0.0000 0.9078 1.000 0.000
#> D959B85F-B5DC-43D3-A6F3-6964445BBCDF 1 0.0000 0.9078 1.000 0.000
#> 4E6ED1E8-45B0-46A4-867E-506901F8E404 1 0.7674 0.7949 0.776 0.224
#> D91A81DA-3E7C-4C4E-93C9-7B5EEF7BAB06 1 0.0000 0.9078 1.000 0.000
#> B2C5B924-0F76-42DA-B186-219DCA0533BA 1 0.0000 0.9078 1.000 0.000
#> 3FBF4DC7-FC0E-4D66-BD85-9889B3100109 2 0.0000 0.9798 0.000 1.000
#> 1B05B466-761E-483E-9588-697EAF2E7386 2 0.0000 0.9798 0.000 1.000
#> C7691834-2E57-49EE-A9DB-2E53FFE44F11 2 0.0000 0.9798 0.000 1.000
#> 53635A31-DBDC-4D30-8EA5-016E10DB9BC6 1 0.0000 0.9078 1.000 0.000
#> FA371ED3-DFB2-4944-BE23-EDA4B4DED170 1 0.0000 0.9078 1.000 0.000
#> 18C19EF2-6008-40AE-B2D9-BDED89684021 1 0.7528 0.8003 0.784 0.216
#> 1B8391FA-2963-4864-B986-D3B94C5A5EFD 2 0.0000 0.9798 0.000 1.000
#> EE6D16D7-612B-4CE5-B8E1-23DE0429C0FE 2 0.0000 0.9798 0.000 1.000
#> 9148EE3C-19AD-45A2-9051-C87EA44F91CB 2 0.0000 0.9798 0.000 1.000
#> 7475BE15-F19F-4C98-B729-409A97F6A025 2 0.0000 0.9798 0.000 1.000
#> B2922217-970B-4E13-9E4E-531B80D5E62C 1 0.0000 0.9078 1.000 0.000
#> AB4D330F-6916-48DE-AF36-D00237C16020 2 0.0000 0.9798 0.000 1.000
#> 7FE613B0-A54B-4EB8-9353-DB1A34A04EE9 2 0.0000 0.9798 0.000 1.000
#> 3BF09B08-8A78-466E-9591-8784B464FC8A 2 0.2423 0.9369 0.040 0.960
#> FB6DF66B-78C8-46C0-AC38-12827F9CEE1E 2 0.0000 0.9798 0.000 1.000
#> 3FFCB13B-6E8C-49E8-835A-F1AD78A1108C 2 0.0000 0.9798 0.000 1.000
#> 111E8106-FA71-4E3A-AE6F-9962FA2D81B1 1 0.0000 0.9078 1.000 0.000
#> CF674380-93D3-47C5-A5D3-53413155C0A1 2 0.9552 0.2816 0.376 0.624
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#> 7C346250-0ED9-47B6-AD7D-AC7DFAF3F5EB 1 0.0000 0.9078 1.000 0.000
#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.0000 0.9078 1.000 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 1 0.7815 0.7886 0.768 0.232
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 2 0.0000 0.9798 0.000 1.000
#> 71FB5F96-671E-43C2-973E-3839079F753B 2 0.0000 0.9798 0.000 1.000
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 1 0.1843 0.8974 0.972 0.028
#> 303ED788-B6CF-49EF-A607-505A7001E367 2 0.0000 0.9798 0.000 1.000
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 1 0.7815 0.7886 0.768 0.232
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 2 0.0000 0.9798 0.000 1.000
#> CEA8617F-0E70-43DC-8075-CA4698661303 1 0.7674 0.7949 0.776 0.224
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.9078 1.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 2 0.0000 0.9798 0.000 1.000
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 2 0.0000 0.9798 0.000 1.000
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 1 0.7815 0.7886 0.768 0.232
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 2 0.0000 0.9798 0.000 1.000
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 1 0.0000 0.9078 1.000 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.0000 0.9078 1.000 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 1 0.0000 0.9078 1.000 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 2 0.0000 0.9798 0.000 1.000
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.0000 0.9798 0.000 1.000
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 1 0.0000 0.9078 1.000 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 2 0.0000 0.9798 0.000 1.000
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 1 0.5737 0.8472 0.864 0.136
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 1 0.7815 0.7886 0.768 0.232
#> 41445787-7763-458C-9FC9-744922C0FD8F 1 0.7376 0.8054 0.792 0.208
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.0000 0.9798 0.000 1.000
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 2 0.0000 0.9798 0.000 1.000
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 1 0.0000 0.9078 1.000 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9798 0.000 1.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0000 0.9798 0.000 1.000
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 2 0.0000 0.9798 0.000 1.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 1 0.7815 0.7886 0.768 0.232
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0000 0.9798 0.000 1.000
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.0000 0.9078 1.000 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9798 0.000 1.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9798 0.000 1.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 1 0.7815 0.7886 0.768 0.232
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 1 0.0000 0.9078 1.000 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9798 0.000 1.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.9078 1.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9798 0.000 1.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9798 0.000 1.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 1 0.7815 0.7886 0.768 0.232
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0000 0.9798 0.000 1.000
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9798 0.000 1.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9798 0.000 1.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.0000 0.9078 1.000 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9798 0.000 1.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9798 0.000 1.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0000 0.9798 0.000 1.000
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9798 0.000 1.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.9078 1.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9798 0.000 1.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9798 0.000 1.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 1 0.0000 0.9078 1.000 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 1 0.7815 0.7886 0.768 0.232
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.9078 1.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 1 0.7883 0.7839 0.764 0.236
#> CFBE0BCC-D658-4098-8C40-773536AC474E 1 0.8661 0.7130 0.712 0.288
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.9798 0.000 1.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 1 0.7674 0.7948 0.776 0.224
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9798 0.000 1.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9798 0.000 1.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.0938 0.9036 0.988 0.012
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 1 0.7745 0.7918 0.772 0.228
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 1 0.9286 0.6147 0.656 0.344
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 1 0.7815 0.7886 0.768 0.232
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.9798 0.000 1.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9798 0.000 1.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.6247 0.7798 0.156 0.844
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0000 0.9798 0.000 1.000
#> C5B99B79-067A-48F9-95E4-35770562E686 1 0.7056 0.8152 0.808 0.192
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.9078 1.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.0000 0.9078 1.000 0.000
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9798 0.000 1.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.9798 0.000 1.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0000 0.9798 0.000 1.000
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.0000 0.9078 1.000 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.0000 0.9078 1.000 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.0000 0.9078 1.000 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.0000 0.9078 1.000 0.000
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9798 0.000 1.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9798 0.000 1.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9798 0.000 1.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 1 0.7815 0.7886 0.768 0.232
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.9078 1.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.9798 0.000 1.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 1 0.7815 0.7886 0.768 0.232
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.9078 1.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 1 0.1843 0.8974 0.972 0.028
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9798 0.000 1.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.9078 1.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9798 0.000 1.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9798 0.000 1.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 1 0.7815 0.7886 0.768 0.232
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 1 0.0000 0.9078 1.000 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.9078 1.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 1 0.7745 0.7919 0.772 0.228
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0000 0.9078 1.000 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.9078 1.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9078 1.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9798 0.000 1.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9798 0.000 1.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.0000 0.9078 1.000 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9798 0.000 1.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 1 0.7815 0.7886 0.768 0.232
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.9078 1.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 1 0.7815 0.7886 0.768 0.232
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 1 0.7815 0.7886 0.768 0.232
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.0376 0.9065 0.996 0.004
#> EAA457D5-032F-49D0-8D27-A841EB248964 1 0.8327 0.7481 0.736 0.264
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9798 0.000 1.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.7528 0.8003 0.784 0.216
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.9798 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.0000 0.9078 1.000 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.0000 0.9078 1.000 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0672 0.9717 0.008 0.992
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 1 0.7815 0.7886 0.768 0.232
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.9798 0.000 1.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.7815 0.7886 0.768 0.232
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9798 0.000 1.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9798 0.000 1.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9798 0.000 1.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.0000 0.9078 1.000 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9798 0.000 1.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.9078 1.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.9988 -0.1262 0.480 0.520
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.9798 0.000 1.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0000 0.9078 1.000 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.9078 1.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9798 0.000 1.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.9078 1.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9798 0.000 1.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 1 0.8499 0.7308 0.724 0.276
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9798 0.000 1.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0000 0.9798 0.000 1.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9798 0.000 1.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9798 0.000 1.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.0000 0.9798 0.000 1.000
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9798 0.000 1.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9798 0.000 1.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 1 0.7815 0.7886 0.768 0.232
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.8624 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 3 0.5216 0.7013 0.260 0.000 0.740
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.8624 1.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0237 0.9481 0.000 0.996 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.0661 0.7968 0.008 0.004 0.988
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.5905 0.5297 0.000 0.648 0.352
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.5138 0.6419 0.748 0.000 0.252
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.9503 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.8624 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.8624 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.9150 0.3551 0.536 0.192 0.272
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.5216 0.7013 0.260 0.000 0.740
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.9503 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.6192 0.2184 0.580 0.000 0.420
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.9503 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.9503 0.000 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 3 0.5216 0.7013 0.260 0.000 0.740
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2796 0.8798 0.000 0.908 0.092
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0424 0.7953 0.000 0.008 0.992
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.9503 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0237 0.9480 0.000 0.996 0.004
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.8437 0.3883 0.128 0.596 0.276
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.9503 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0000 0.8624 1.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.9503 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.9503 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.9503 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.1529 0.9212 0.000 0.960 0.040
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 3 0.9910 0.1103 0.272 0.344 0.384
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.9503 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.3267 0.7055 0.000 0.116 0.884
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 3 0.4139 0.7226 0.016 0.124 0.860
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0000 0.9503 0.000 1.000 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.5650 0.5508 0.000 0.688 0.312
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.0424 0.7953 0.000 0.008 0.992
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.8624 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.9503 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.9503 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3941 0.7511 0.844 0.000 0.156
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.9503 0.000 1.000 0.000
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#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0000 0.9503 0.000 1.000 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 2 0.0000 0.9503 0.000 1.000 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.0000 0.7956 0.000 0.000 1.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 3 0.5216 0.7013 0.260 0.000 0.740
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0000 0.9503 0.000 1.000 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.8624 1.000 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 2 0.0000 0.9503 0.000 1.000 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0000 0.9503 0.000 1.000 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 3 0.6129 0.4968 0.008 0.324 0.668
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0424 0.9458 0.000 0.992 0.008
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0000 0.9503 0.000 1.000 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0000 0.9503 0.000 1.000 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.6027 0.6057 0.712 0.016 0.272
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0000 0.9503 0.000 1.000 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0000 0.9503 0.000 1.000 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0424 0.9457 0.000 0.992 0.008
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0000 0.9503 0.000 1.000 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.8624 1.000 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0000 0.9503 0.000 1.000 0.000
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0000 0.9503 0.000 1.000 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 3 0.5216 0.7013 0.260 0.000 0.740
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.6302 0.1247 0.000 0.520 0.480
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.0000 0.8624 1.000 0.000 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.6045 0.4226 0.000 0.620 0.380
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.6854 0.6820 0.136 0.740 0.124
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0000 0.9503 0.000 1.000 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 3 0.0000 0.7956 0.000 0.000 1.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0000 0.9503 0.000 1.000 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0000 0.9503 0.000 1.000 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.9257 0.3258 0.520 0.196 0.284
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0000 0.7956 0.000 0.000 1.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.2261 0.7531 0.000 0.068 0.932
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.1031 0.7896 0.000 0.024 0.976
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0000 0.9503 0.000 1.000 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0000 0.9503 0.000 1.000 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.6309 -0.1374 0.000 0.500 0.500
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.0747 0.9407 0.000 0.984 0.016
#> C5B99B79-067A-48F9-95E4-35770562E686 3 0.1643 0.7898 0.044 0.000 0.956
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0000 0.8624 1.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.6053 0.6165 0.720 0.020 0.260
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0000 0.9503 0.000 1.000 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0000 0.9503 0.000 1.000 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.0892 0.9381 0.000 0.980 0.020
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 3 0.5216 0.7013 0.260 0.000 0.740
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.5216 0.6298 0.740 0.000 0.260
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.4121 0.7398 0.832 0.000 0.168
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.5216 0.6298 0.740 0.000 0.260
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.0000 0.9503 0.000 1.000 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0000 0.9503 0.000 1.000 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0000 0.9503 0.000 1.000 0.000
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 3 0.1529 0.7822 0.000 0.040 0.960
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.8624 1.000 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.0000 0.9503 0.000 1.000 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.7956 0.000 0.000 1.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.8624 1.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.9760 -0.0112 0.276 0.444 0.280
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0000 0.9503 0.000 1.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0000 0.8624 1.000 0.000 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.0000 0.9503 0.000 1.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0000 0.9503 0.000 1.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.6079 0.3296 0.000 0.388 0.612
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 3 0.5216 0.7013 0.260 0.000 0.740
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.8624 1.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 3 0.5061 0.6376 0.008 0.208 0.784
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.4887 0.6495 0.772 0.000 0.228
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0000 0.8624 1.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.8624 1.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.0000 0.9503 0.000 1.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9503 0.000 1.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.1289 0.8459 0.968 0.000 0.032
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0000 0.9503 0.000 1.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 3 0.3879 0.6964 0.000 0.152 0.848
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.8624 1.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.0424 0.7953 0.000 0.008 0.992
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.0424 0.7953 0.000 0.008 0.992
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 3 0.8769 0.3236 0.348 0.124 0.528
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.5678 0.5389 0.000 0.684 0.316
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0000 0.9503 0.000 1.000 0.000
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0592 0.7948 0.012 0.000 0.988
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0424 0.9458 0.000 0.992 0.008
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.5178 0.6360 0.744 0.000 0.256
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.5363 0.6123 0.724 0.000 0.276
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.0829 0.9415 0.004 0.984 0.012
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.7956 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0424 0.9458 0.000 0.992 0.008
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.5678 0.5389 0.000 0.684 0.316
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.9503 0.000 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.9503 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.9503 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.5216 0.6298 0.740 0.000 0.260
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.9503 0.000 1.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.8624 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.6295 -0.0274 0.000 0.472 0.528
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.9503 0.000 1.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 3 0.5216 0.7013 0.260 0.000 0.740
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.8624 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.9503 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0000 0.8624 1.000 0.000 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.9503 0.000 1.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5363 0.6044 0.000 0.724 0.276
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.9503 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0592 0.9432 0.000 0.988 0.012
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0000 0.9503 0.000 1.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.9503 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.4605 0.7525 0.000 0.796 0.204
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.9503 0.000 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.9503 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.7956 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1118 0.8822 0.036 0.000 0.000 0.964
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0779 0.9180 0.000 0.980 0.016 0.004
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 4 0.1722 0.8687 0.000 0.008 0.048 0.944
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.3335 0.8207 0.000 0.128 0.856 0.016
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.2565 0.9000 0.912 0.000 0.032 0.056
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0469 0.9196 0.000 0.988 0.012 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6577 0.7438 0.708 0.104 0.060 0.128
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.0927 0.8806 0.016 0.000 0.008 0.976
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.2647 0.8140 0.000 0.880 0.120 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.6079 0.4091 0.568 0.000 0.052 0.380
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.3649 0.6780 0.000 0.796 0.204 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1557 0.8787 0.056 0.000 0.000 0.944
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.2928 0.8611 0.000 0.896 0.052 0.052
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.4776 0.2274 0.000 0.000 0.624 0.376
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.1637 0.8841 0.000 0.940 0.060 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.3945 0.8424 0.000 0.216 0.780 0.004
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.4617 0.7709 0.008 0.812 0.080 0.100
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0469 0.9194 0.000 0.988 0.012 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.3810 0.8385 0.000 0.188 0.804 0.008
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.5787 0.6549 0.012 0.720 0.076 0.192
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0336 0.9199 0.000 0.992 0.008 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.5208 0.6574 0.000 0.080 0.748 0.172
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1396 0.8729 0.004 0.004 0.032 0.960
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.4539 0.7940 0.000 0.272 0.720 0.008
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 4 0.2760 0.8435 0.000 0.000 0.128 0.872
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.9120 1.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0592 0.9187 0.000 0.984 0.016 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.4304 0.7980 0.000 0.284 0.716 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.3899 0.8689 0.840 0.000 0.052 0.108
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.3907 0.8429 0.000 0.232 0.768 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0336 0.9199 0.000 0.992 0.008 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0707 0.9164 0.000 0.980 0.020 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0000 0.9200 0.000 1.000 0.000 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.2088 0.8784 0.004 0.928 0.064 0.004
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 4 0.1474 0.8727 0.000 0.000 0.052 0.948
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.4500 0.6267 0.000 0.000 0.316 0.684
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.2111 0.7665 0.000 0.044 0.932 0.024
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.2111 0.7440 0.000 0.024 0.932 0.044
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.8394 0.1585 0.324 0.484 0.080 0.112
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.9120 1.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 4 0.2345 0.8567 0.000 0.000 0.100 0.900
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4072 0.8670 0.828 0.000 0.052 0.120
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.3716 0.8760 0.852 0.000 0.052 0.096
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0336 0.9193 0.000 0.992 0.008 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.2644 0.8651 0.000 0.908 0.032 0.060
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#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.1389 0.8812 0.048 0.000 0.000 0.952
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 2 0.0000 0.9200 0.000 1.000 0.000 0.000
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 2 0.0376 0.9184 0.000 0.992 0.004 0.004
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 3 0.4713 0.6690 0.000 0.360 0.640 0.000
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 4 0.2053 0.8658 0.000 0.004 0.072 0.924
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 2 0.0524 0.9172 0.000 0.988 0.008 0.004
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.3453 0.8845 0.868 0.000 0.052 0.080
#> 8FBB326D-E544-498E-8A47-8C8291063E14 2 0.0469 0.9189 0.000 0.988 0.012 0.000
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 3 0.2131 0.7532 0.000 0.032 0.932 0.036
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.1389 0.8812 0.048 0.000 0.000 0.952
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 2 0.0592 0.9148 0.000 0.984 0.016 0.000
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 4 0.5131 0.5145 0.000 0.280 0.028 0.692
#> 9BEDADE9-887F-4245-B827-26638F810303 2 0.0657 0.9161 0.000 0.984 0.012 0.004
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 1 0.4864 0.8383 0.788 0.008 0.060 0.144
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 2 0.0469 0.9194 0.000 0.988 0.012 0.000
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 2 0.0524 0.9176 0.000 0.988 0.008 0.004
#> C978676F-8698-4A0E-9983-F3F8C3224F55 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 2 0.0895 0.9156 0.000 0.976 0.020 0.004
#> B3E9A4C3-E877-4505-8695-960738A127FD 2 0.0469 0.9194 0.000 0.988 0.012 0.000
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1389 0.8812 0.048 0.000 0.000 0.952
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.5690 0.5396 0.000 0.672 0.060 0.268
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.2111 0.9051 0.932 0.000 0.024 0.044
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.3611 0.8240 0.000 0.860 0.060 0.080
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.4354 0.7915 0.012 0.832 0.072 0.084
#> B53929AB-C35E-44E0-9BB9-89029834D737 2 0.0188 0.9194 0.000 0.996 0.004 0.000
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 4 0.4072 0.7424 0.000 0.000 0.252 0.748
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 1 0.8576 0.2978 0.444 0.352 0.080 0.124
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 4 0.4072 0.7408 0.000 0.000 0.252 0.748
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.3279 0.8021 0.000 0.096 0.872 0.032
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 4 0.2909 0.8519 0.000 0.020 0.092 0.888
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 3 0.2662 0.7970 0.000 0.084 0.900 0.016
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.1284 0.9079 0.000 0.964 0.024 0.012
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.0657 0.8779 0.004 0.000 0.012 0.984
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.4602 0.8582 0.812 0.012 0.056 0.120
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.0469 0.9194 0.000 0.988 0.012 0.000
#> F703B62A-687F-4084-BC52-DE28EDE411C3 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.1004 0.9105 0.000 0.972 0.024 0.004
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1022 0.8821 0.032 0.000 0.000 0.968
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.4363 0.8594 0.816 0.004 0.052 0.128
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.4015 0.8681 0.832 0.000 0.052 0.116
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.4722 0.8413 0.792 0.004 0.060 0.144
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0188 0.9198 0.000 0.996 0.000 0.004
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.2053 0.8647 0.000 0.004 0.072 0.924
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.4933 -0.0615 0.000 0.000 0.568 0.432
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.8105 0.3519 0.264 0.548 0.080 0.108
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0376 0.9104 0.992 0.000 0.004 0.004
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.1389 0.8953 0.000 0.952 0.048 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.0188 0.9194 0.000 0.996 0.004 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.6120 0.1840 0.000 0.520 0.048 0.432
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.0779 0.8800 0.016 0.000 0.004 0.980
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 4 0.6686 0.4331 0.012 0.300 0.084 0.604
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.5624 0.6373 0.668 0.000 0.052 0.280
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1297 0.9108 0.964 0.000 0.020 0.016
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0000 0.9120 1.000 0.000 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.2973 0.7796 0.000 0.856 0.144 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.0000 0.9200 0.000 1.000 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3088 0.8928 0.888 0.000 0.052 0.060
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.5877 0.5060 0.000 0.276 0.068 0.656
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 4 0.4522 0.6227 0.000 0.000 0.320 0.680
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 4 0.3764 0.7701 0.000 0.000 0.216 0.784
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 4 0.7223 0.2616 0.344 0.044 0.060 0.552
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.3486 0.8219 0.000 0.864 0.044 0.092
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.4122 0.8428 0.000 0.236 0.760 0.004
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.4008 0.7477 0.000 0.000 0.244 0.756
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.2088 0.8784 0.004 0.928 0.064 0.004
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.4015 0.8682 0.832 0.000 0.052 0.116
#> 52893AFF-C014-411F-B220-2A17D82C383D 1 0.4673 0.8449 0.796 0.004 0.060 0.140
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.2748 0.8659 0.004 0.904 0.072 0.020
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.1970 0.7230 0.000 0.008 0.932 0.060
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.2515 0.8724 0.004 0.912 0.072 0.012
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.4351 0.7875 0.004 0.824 0.080 0.092
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0336 0.9200 0.000 0.992 0.008 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.4333 0.8629 0.820 0.004 0.056 0.120
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.2578 0.9003 0.912 0.000 0.052 0.036
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.6524 0.5366 0.000 0.120 0.616 0.264
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0592 0.9196 0.000 0.984 0.016 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.1474 0.8801 0.052 0.000 0.000 0.948
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0188 0.9120 0.996 0.000 0.004 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.3311 0.7305 0.000 0.828 0.172 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.0921 0.9101 0.972 0.000 0.000 0.028
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.3942 0.8429 0.000 0.236 0.764 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.3637 0.8296 0.004 0.864 0.080 0.052
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0921 0.9153 0.000 0.972 0.028 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0188 0.9202 0.000 0.996 0.004 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.3271 0.8239 0.000 0.132 0.856 0.012
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0336 0.9199 0.000 0.992 0.008 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0469 0.9194 0.000 0.988 0.012 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.3893 0.5632 0.000 0.008 0.796 0.196
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.1877 0.731644 0.012 0.064 NA 0.924 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.1041 0.710651 0.000 0.004 NA 0.000 0.964
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 2 0.4669 0.279861 0.008 0.628 NA 0.352 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.6262 0.492928 0.000 0.548 NA 0.004 0.168
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.6630 0.494478 0.556 0.180 NA 0.240 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.0880 0.707569 0.000 0.000 NA 0.000 0.968
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.9166 0.122920 0.192 0.360 NA 0.228 0.052
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.4657 0.327246 0.008 0.380 NA 0.604 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.3274 0.659217 0.000 0.000 NA 0.000 0.780
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.6549 0.184221 0.444 0.100 NA 0.428 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.2690 0.651831 0.000 0.000 NA 0.000 0.844
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 5 0.3913 0.731220 0.000 0.000 NA 0.000 0.676
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 4 0.1124 0.720541 0.036 0.000 NA 0.960 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 5 0.7923 0.225784 0.000 0.300 NA 0.072 0.344
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 2 0.5130 0.482751 0.000 0.680 NA 0.100 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.1908 0.674716 0.000 0.000 NA 0.000 0.908
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.6695 0.422531 0.000 0.432 NA 0.000 0.284
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.7336 0.422067 0.008 0.548 NA 0.084 0.228
#> C2F905E0-1D20-4582-8656-A2022521ED06 5 0.4060 0.723601 0.000 0.000 NA 0.000 0.640
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0290 0.800830 0.992 0.000 NA 0.008 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.1851 0.676609 0.000 0.000 NA 0.000 0.912
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.3039 0.611432 0.000 0.000 NA 0.000 0.808
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.6510 0.426371 0.000 0.480 NA 0.000 0.296
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.7117 0.390939 0.008 0.584 NA 0.200 0.104
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 5 0.0404 0.710513 0.000 0.000 NA 0.000 0.988
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.4121 0.499192 0.000 0.720 NA 0.004 0.012
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.4773 0.295256 0.008 0.656 NA 0.312 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 5 0.5274 0.682887 0.000 0.056 NA 0.000 0.572
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.6123 0.505528 0.000 0.584 NA 0.004 0.224
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 2 0.4711 0.473956 0.000 0.736 NA 0.148 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.1173 0.800697 0.964 0.020 NA 0.012 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.1768 0.723246 0.000 0.004 NA 0.000 0.924
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.3003 0.614322 0.000 0.000 NA 0.000 0.812
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.5663 0.565376 0.616 0.024 NA 0.304 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.5329 0.527493 0.000 0.144 NA 0.000 0.672
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.0609 0.708598 0.000 0.000 NA 0.000 0.980
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.2280 0.659347 0.000 0.000 NA 0.000 0.880
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#> AE362980-AF4C-4C80-812B-D9B299F8E889 1 0.6562 0.450861 0.536 0.052 NA 0.332 0.000
#> 8FE07C25-F7ED-4F44-AE1E-4E5E51132775 2 0.3264 0.479411 0.000 0.836 NA 0.140 0.004
#> 0ECAFD51-8812-4204-BF3C-9C11F93B727E 5 0.4380 0.714953 0.000 0.008 NA 0.000 0.616
#> 71FB5F96-671E-43C2-973E-3839079F753B 5 0.6527 0.510953 0.000 0.196 NA 0.000 0.428
#> 91A65733-AD8D-4021-9FE0-59CE918BC0FD 2 0.6334 0.283105 0.012 0.560 NA 0.276 0.000
#> 303ED788-B6CF-49EF-A607-505A7001E367 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> E60851CD-F0DF-42AF-BDD6-799907821CDB 2 0.3691 0.458831 0.008 0.804 NA 0.172 0.008
#> 3A8EE9D9-80AA-4DC3-B22F-6214B14933E6 5 0.4844 0.493015 0.000 0.280 NA 0.000 0.668
#> CEA8617F-0E70-43DC-8075-CA4698661303 2 0.6787 0.355323 0.008 0.592 NA 0.240 0.064
#> 90462A8F-1785-4513-A59D-4FEF6085DB86 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 01F57959-35AC-48C6-B54C-DF29B8047E2D 5 0.4114 0.718984 0.000 0.000 NA 0.000 0.624
#> 9AA883C2-50D9-4D2E-8F9F-54B09A02144D 5 0.4074 0.723111 0.000 0.000 NA 0.000 0.636
#> 78AA02A6-5B04-4D39-8C06-0EBA12C02D98 2 0.3796 0.483654 0.000 0.700 NA 0.000 0.000
#> 59E1B876-D43C-45FA-B2B5-11C7AA03B1B3 5 0.3480 0.738966 0.000 0.000 NA 0.000 0.752
#> 5689710B-D322-4FAF-912B-81AB8FC8322C 4 0.1701 0.735059 0.016 0.048 NA 0.936 0.000
#> 1178A2BE-F075-4511-B657-5E497EC6BD5A 1 0.2828 0.775819 0.872 0.020 NA 0.104 0.000
#> E1A2D9C6-6931-452F-B825-BDF50888E20F 4 0.8077 0.074294 0.260 0.320 NA 0.328 0.000
#> 165A0A62-FA4F-45CC-B517-3F57A5CF9D50 5 0.0880 0.700097 0.000 0.000 NA 0.000 0.968
#> 0A1BA2DA-2D4D-480C-95CB-F7C030D5F5F9 2 0.5589 0.487666 0.000 0.684 NA 0.076 0.204
#> DDE42A96-FA27-40CA-8CD1-4A2DF94FD5A2 4 0.3727 0.520902 0.216 0.000 NA 0.768 0.000
#> EB6D7E2B-70A6-4F31-8508-5A35E0216429 5 0.0609 0.710217 0.000 0.000 NA 0.000 0.980
#> B1ACC222-5E5F-4B8B-9207-D57FE91F2D27 2 0.7866 0.277475 0.044 0.504 NA 0.228 0.044
#> F3C44C45-76F4-4E6E-9DDD-A77617DCAAF6 2 0.2886 0.488614 0.000 0.864 NA 0.116 0.004
#> 41445787-7763-458C-9FC9-744922C0FD8F 4 0.4727 0.227243 0.000 0.452 NA 0.532 0.000
#> 7A0B246A-DAAD-4A9E-97D6-2F087837C0C1 2 0.6012 0.090174 0.000 0.504 NA 0.000 0.376
#> 4386E3AC-5196-4E10-ABB5-8C576A8E3925 5 0.4088 0.721470 0.000 0.000 NA 0.000 0.632
#> 58AF0F17-963E-4EAA-A8A3-C1FE467BC531 4 0.1981 0.728803 0.016 0.000 NA 0.920 0.000
#> D3D78DB1-D998-40CD-99CF-EC9C73CB615C 5 0.4114 0.718984 0.000 0.000 NA 0.000 0.624
#> 3CC2C458-0920-4C5A-B3B9-AFBE2E122C52 5 0.4380 0.714953 0.000 0.008 NA 0.000 0.616
#> 80B5A280-58EB-4566-A04F-07F4CDB56CE6 5 0.2891 0.623202 0.000 0.000 NA 0.000 0.824
#> 22B4DDEF-23CB-41FD-AE50-D9A9C067D71E 2 0.3563 0.434325 0.000 0.780 NA 0.208 0.000
#> EB2F8063-9E96-43C8-B321-D37953E4C8CB 5 0.4264 0.718132 0.000 0.004 NA 0.000 0.620
#> 399F45E5-3274-45DD-A6DF-7D27CEF1411B 1 0.4904 0.673558 0.704 0.024 NA 0.240 0.000
#> 8FBB326D-E544-498E-8A47-8C8291063E14 5 0.1671 0.682045 0.000 0.000 NA 0.000 0.924
#> B9F3F4D6-CF5D-4E2A-AFD9-339AE8DBDE26 5 0.3039 0.611432 0.000 0.000 NA 0.000 0.808
#> F1F1C26F-B27F-4BAD-B9D5-36B6F234BA40 2 0.3796 0.483654 0.000 0.700 NA 0.000 0.000
#> 914EABEA-DEB4-421D-B95F-AF0BCADFFDB0 4 0.1981 0.728803 0.016 0.000 NA 0.920 0.000
#> 97E8EEF5-9969-4957-9C90-D56FA9E46439 5 0.4380 0.714953 0.000 0.008 NA 0.000 0.616
#> D5CAF174-3E4C-42E6-9AD9-1E16C964AF02 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 12EC8F27-6E80-4C10-A8A5-088D50274AF5 5 0.3039 0.611432 0.000 0.000 NA 0.000 0.808
#> FF1635F0-0CF6-4987-83F4-73EB2D14C2CE 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> 3380AA54-4DBD-4B85-B473-278A09BAC4E0 2 0.6340 0.451826 0.000 0.588 NA 0.136 0.252
#> 9BEDADE9-887F-4245-B827-26638F810303 5 0.4402 0.718386 0.000 0.004 NA 0.004 0.620
#> 8DE937FA-01B9-4205-9F19-E60C7752986B 5 0.1478 0.721120 0.000 0.000 NA 0.000 0.936
#> CBE7113A-2D1D-4CFC-93CA-1648D607CC33 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> D8F9EC7A-C69E-466A-A593-6156A61FD6F0 2 0.6925 0.250744 0.072 0.556 NA 0.256 0.000
#> 00D69EB4-B3DA-4290-8484-DCD547C0A6DE 5 0.1410 0.689500 0.000 0.000 NA 0.000 0.940
#> 2B4B26D3-74A3-4A12-BD07-D9DC1401F90D 5 0.3661 0.737460 0.000 0.000 NA 0.000 0.724
#> 6F3F2EA8-580C-4D13-93E0-7ED942C52BC4 5 0.6146 0.591114 0.000 0.136 NA 0.000 0.488
#> C978676F-8698-4A0E-9983-F3F8C3224F55 5 0.2966 0.737427 0.000 0.000 NA 0.000 0.816
#> 8F72F8B1-17F9-47A2-850A-A29447D3E405 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 905EA1E7-D01F-44E4-9605-5F87208F5986 5 0.1041 0.707694 0.000 0.004 NA 0.000 0.964
#> B3E9A4C3-E877-4505-8695-960738A127FD 5 0.1410 0.693533 0.000 0.000 NA 0.000 0.940
#> 669C90E4-9502-45F9-B5E6-4C88F98AEE60 4 0.1981 0.728803 0.016 0.000 NA 0.920 0.000
#> E1744D91-44AA-4269-B057-D1B620278604 2 0.3948 0.493363 0.000 0.808 NA 0.128 0.056
#> A072B0DF-C006-4512-897B-85C6FBC6FD21 1 0.4001 0.714632 0.768 0.020 NA 0.204 0.000
#> 241119D2-34AD-47BB-A59C-75A4087D0B01 2 0.5655 0.460301 0.000 0.640 NA 0.084 0.260
#> CFBE0BCC-D658-4098-8C40-773536AC474E 2 0.7001 0.293282 0.008 0.476 NA 0.020 0.340
#> B53929AB-C35E-44E0-9BB9-89029834D737 5 0.4482 0.713700 0.000 0.012 NA 0.000 0.612
#> A0C6624D-7524-44D7-987B-6EFFFA25DC5C 2 0.5483 -0.096273 0.000 0.512 NA 0.424 0.000
#> 38C1F8EB-17EC-4C4D-BD91-5BB565D2B62B 5 0.4088 0.722617 0.000 0.000 NA 0.000 0.632
#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.4088 0.721470 0.000 0.000 NA 0.000 0.632
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.7276 0.313527 0.012 0.524 NA 0.220 0.036
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 2 0.4678 0.355834 0.000 0.712 NA 0.224 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 2 0.5694 0.505848 0.000 0.656 NA 0.036 0.064
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 2 0.3197 0.473798 0.000 0.832 NA 0.152 0.004
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.2424 0.700108 0.000 0.000 NA 0.000 0.868
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 5 0.2329 0.732192 0.000 0.000 NA 0.000 0.876
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 2 0.4360 0.500132 0.000 0.692 NA 0.000 0.024
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 5 0.6749 0.374185 0.000 0.304 NA 0.000 0.408
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.3835 0.583976 0.000 0.244 NA 0.744 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0290 0.800830 0.992 0.000 NA 0.008 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.8747 0.089213 0.352 0.224 NA 0.264 0.020
#> 8F770678-E467-4FB7-8C48-9BBE52490145 5 0.0963 0.717017 0.000 0.000 NA 0.000 0.964
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.2179 0.715295 0.000 0.000 NA 0.000 0.888
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 5 0.6693 0.438950 0.000 0.256 NA 0.000 0.424
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 4 0.1764 0.730728 0.008 0.064 NA 0.928 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 1 0.7971 0.148208 0.376 0.268 NA 0.272 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.5765 0.603952 0.632 0.040 NA 0.276 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 2 0.8245 -0.049817 0.244 0.336 NA 0.316 0.004
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.3003 0.614322 0.000 0.000 NA 0.000 0.812
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 5 0.4074 0.722363 0.000 0.000 NA 0.000 0.636
#> 397C8251-A0C6-40DC-AB16-86881797473B 5 0.4264 0.717156 0.000 0.004 NA 0.000 0.620
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.3883 0.429268 0.000 0.764 NA 0.216 0.004
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.3003 0.614322 0.000 0.000 NA 0.000 0.812
#> 424A05C2-C0C2-439A-A483-E959810E155B 2 0.3906 0.482174 0.000 0.704 NA 0.004 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.7658 0.398052 0.012 0.544 NA 0.152 0.148
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0703 0.797741 0.976 0.000 NA 0.024 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.2690 0.636510 0.000 0.000 NA 0.000 0.844
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.5922 0.463865 0.008 0.672 NA 0.152 0.148
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.6641 0.345692 0.120 0.304 NA 0.540 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6433 0.407868 0.008 0.648 NA 0.184 0.080
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.5492 0.566519 0.612 0.040 NA 0.324 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.3767 0.743516 0.800 0.024 NA 0.168 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0771 0.802322 0.976 0.020 NA 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.1965 0.681233 0.000 0.000 NA 0.000 0.904
#> 29968837-2519-4D95-91CE-EC981D6781DC 5 0.4264 0.717156 0.000 0.004 NA 0.000 0.620
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.5457 0.659253 0.680 0.060 NA 0.228 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.4268 0.465516 0.000 0.776 NA 0.168 0.044
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0290 0.800830 0.992 0.000 NA 0.008 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 2 0.4541 0.479778 0.000 0.752 NA 0.136 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 2 0.2969 0.481503 0.000 0.852 NA 0.128 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.8285 -0.000255 0.212 0.368 NA 0.308 0.008
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.4678 0.457752 0.000 0.648 NA 0.012 0.328
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.3882 0.587896 0.000 0.044 NA 0.000 0.788
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 2 0.5238 -0.214466 0.000 0.480 NA 0.476 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.4856 0.697306 0.000 0.028 NA 0.000 0.584
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.6171 0.578621 0.608 0.052 NA 0.272 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 2 0.7130 0.221835 0.108 0.544 NA 0.248 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.5139 0.556394 0.008 0.180 NA 0.000 0.708
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 2 0.3796 0.483654 0.000 0.700 NA 0.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.4335 0.615023 0.008 0.120 NA 0.000 0.784
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.6534 0.389619 0.000 0.568 NA 0.040 0.280
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 5 0.4101 0.720287 0.000 0.000 NA 0.000 0.628
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 5 0.4114 0.718984 0.000 0.000 NA 0.000 0.624
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.3561 0.737713 0.000 0.000 NA 0.000 0.740
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 2 0.7517 0.134929 0.168 0.492 NA 0.252 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.4088 0.721470 0.000 0.000 NA 0.000 0.632
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.4009 0.738988 0.792 0.040 NA 0.160 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.5875 0.503356 0.000 0.664 NA 0.060 0.064
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.2193 0.678486 0.000 0.008 NA 0.000 0.900
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.3480 0.489565 0.248 0.000 NA 0.752 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.804705 1.000 0.000 NA 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.1270 0.703027 0.000 0.000 NA 0.000 0.948
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.2608 0.774988 0.888 0.020 NA 0.088 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.3003 0.614322 0.000 0.000 NA 0.000 0.812
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.5689 0.198444 0.008 0.368 NA 0.000 0.556
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 5 0.4074 0.722363 0.000 0.000 NA 0.000 0.636
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 5 0.6636 0.434257 0.000 0.284 NA 0.000 0.452
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 5 0.4088 0.721470 0.000 0.000 NA 0.000 0.632
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 5 0.4114 0.718984 0.000 0.000 NA 0.000 0.624
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.6402 0.473381 0.000 0.504 NA 0.000 0.208
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.0510 0.711038 0.000 0.000 NA 0.000 0.984
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.1043 0.697491 0.000 0.000 NA 0.000 0.960
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 2 0.4161 0.479397 0.000 0.704 NA 0.016 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 4 0.0603 0.76229 0.000 0.016 0.000 0.980 0.000 0.004
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 3 0.2915 0.74294 0.000 0.184 0.808 0.000 0.008 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 5 0.5220 0.44219 0.000 0.048 0.000 0.084 0.676 0.192
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 6 0.3940 0.70841 0.000 0.000 0.096 0.000 0.140 0.764
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3907 0.74935 0.756 0.000 0.000 0.068 0.176 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 3 0.2562 0.75350 0.000 0.172 0.828 0.000 0.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 5 0.5186 0.54301 0.140 0.108 0.000 0.056 0.696 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 4 0.6144 0.09755 0.004 0.096 0.000 0.448 0.412 0.040
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#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 5 0.3455 0.61950 0.004 0.128 0.004 0.048 0.816 0.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.2178 0.82810 0.000 0.868 0.132 0.000 0.000 0.000
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0508 0.90891 0.984 0.000 0.000 0.012 0.004 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 3 0.0937 0.79608 0.000 0.040 0.960 0.000 0.000 0.000
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.2092 0.82804 0.000 0.876 0.124 0.000 0.000 0.000
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 5 0.3769 0.60289 0.000 0.080 0.004 0.060 0.820 0.036
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 5 0.5911 0.32908 0.196 0.028 0.000 0.200 0.576 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 5 0.2846 0.61472 0.000 0.084 0.000 0.060 0.856 0.000
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.2913 0.84597 0.848 0.004 0.000 0.116 0.032 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.1333 0.89818 0.944 0.000 0.000 0.048 0.008 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.0260 0.90997 0.992 0.000 0.000 0.008 0.000 0.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 3 0.2003 0.78451 0.000 0.116 0.884 0.000 0.000 0.000
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.2048 0.82766 0.000 0.880 0.120 0.000 0.000 0.000
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 1 0.3098 0.85103 0.844 0.004 0.000 0.064 0.088 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.2454 0.81868 0.000 0.840 0.160 0.000 0.000 0.000
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 5 0.3394 0.56704 0.000 0.032 0.000 0.060 0.840 0.068
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 5 0.3921 0.27980 0.000 0.000 0.004 0.012 0.676 0.308
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 5 0.3965 0.31075 0.000 0.004 0.004 0.012 0.692 0.288
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 5 0.5011 0.52140 0.148 0.048 0.004 0.084 0.716 0.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 5 0.5770 0.26460 0.000 0.032 0.108 0.000 0.564 0.296
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 3 0.1088 0.78229 0.000 0.000 0.960 0.000 0.024 0.016
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 4 0.6551 0.28850 0.000 0.080 0.000 0.488 0.124 0.308
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.3045 0.79827 0.000 0.840 0.100 0.000 0.060 0.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.3699 0.80965 0.796 0.004 0.000 0.112 0.088 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 5 0.3371 0.57370 0.076 0.012 0.000 0.080 0.832 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.5887 -0.19267 0.000 0.392 0.200 0.000 0.408 0.000
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 6 0.2212 0.76985 0.000 0.000 0.008 0.000 0.112 0.880
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 5 0.6123 -0.07510 0.000 0.308 0.340 0.000 0.352 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 5 0.3437 0.59846 0.000 0.188 0.008 0.012 0.788 0.004
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.2135 0.82842 0.000 0.872 0.128 0.000 0.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.2092 0.82839 0.000 0.876 0.124 0.000 0.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.3620 0.57467 0.000 0.648 0.352 0.000 0.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 5 0.4770 0.43239 0.224 0.004 0.000 0.100 0.672 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.2454 0.82217 0.000 0.840 0.160 0.000 0.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1572 0.89804 0.936 0.000 0.000 0.036 0.028 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 6 0.3978 0.71737 0.000 0.004 0.040 0.020 0.156 0.780
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 3 0.2170 0.78969 0.000 0.100 0.888 0.000 0.012 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 4 0.4403 -0.00348 0.468 0.000 0.000 0.508 0.024 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.91052 1.000 0.000 0.000 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 3 0.2762 0.72195 0.000 0.196 0.804 0.000 0.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.1333 0.89776 0.944 0.000 0.000 0.048 0.008 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 3 0.0363 0.78993 0.000 0.000 0.988 0.000 0.000 0.012
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.3978 0.57886 0.000 0.160 0.084 0.000 0.756 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.2491 0.81597 0.000 0.836 0.164 0.000 0.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5529 0.50896 0.000 0.516 0.148 0.000 0.336 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.2092 0.82839 0.000 0.876 0.124 0.000 0.000 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.2048 0.82766 0.000 0.880 0.120 0.000 0.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 6 0.4154 0.69379 0.000 0.000 0.112 0.000 0.144 0.744
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 3 0.3351 0.61723 0.000 0.288 0.712 0.000 0.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.2178 0.77551 0.000 0.132 0.868 0.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.1918 0.77479 0.000 0.000 0.008 0.000 0.088 0.904
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 17420 rows and 500 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 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 0.372 0.775 0.824 0.3390 0.715 0.715
#> 3 3 0.810 0.904 0.955 0.7443 0.605 0.477
#> 4 4 0.779 0.825 0.912 0.1481 0.879 0.711
#> 5 5 0.626 0.690 0.821 0.1154 0.802 0.469
#> 6 6 0.618 0.567 0.727 0.0637 0.873 0.528
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
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 2 0.7139 0.66932 0.196 0.804
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 2 0.9170 0.43031 0.332 0.668
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 2 0.2043 0.82269 0.032 0.968
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.5408 0.85359 0.124 0.876
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 1 0.7528 0.71684 0.784 0.216
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 1 0.8386 0.65738 0.732 0.268
#> 7D2EF3FC-2977-4410-947F-244B54755779 2 0.0000 0.83913 0.000 1.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.5408 0.85359 0.124 0.876
#> C227E512-1327-4BD0-8A9E-613D64F37829 2 0.6531 0.70280 0.168 0.832
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 2 0.4161 0.78476 0.084 0.916
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.0000 0.83913 0.000 1.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.8608 0.64655 0.716 0.284
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.5408 0.85359 0.124 0.876
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 2 0.8386 0.56232 0.268 0.732
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.5408 0.85359 0.124 0.876
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.5294 0.85419 0.120 0.880
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.0000 0.83913 0.000 1.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.5408 0.85359 0.124 0.876
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 1 0.0000 0.81051 1.000 0.000
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.5408 0.85359 0.124 0.876
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 1 0.9491 0.48480 0.632 0.368
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.0000 0.83913 0.000 1.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.5178 0.85452 0.116 0.884
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 2 0.0938 0.83375 0.012 0.988
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.5408 0.85359 0.124 0.876
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.9286 0.51045 0.344 0.656
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.5408 0.85359 0.124 0.876
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.9795 0.29750 0.416 0.584
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 2 0.0000 0.83913 0.000 1.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5294 0.85419 0.120 0.880
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 1 0.8813 0.61437 0.700 0.300
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 2 0.8386 0.56232 0.268 0.732
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.5408 0.85359 0.124 0.876
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 1 0.8763 0.62209 0.704 0.296
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 1 0.1843 0.80426 0.972 0.028
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 2 0.4815 0.76740 0.104 0.896
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.5294 0.85419 0.120 0.880
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.5408 0.85359 0.124 0.876
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 2 0.0000 0.83913 0.000 1.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.5519 0.85095 0.128 0.872
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.5294 0.85419 0.120 0.880
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.5408 0.85359 0.124 0.876
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.5294 0.85419 0.120 0.880
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.3114 0.84986 0.056 0.944
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 2 0.5842 0.73285 0.140 0.860
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.0000 0.83913 0.000 1.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 1 0.5294 0.76068 0.880 0.120
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 1 0.0000 0.81051 1.000 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 2 0.7219 0.66415 0.200 0.800
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 1 0.4022 0.78456 0.920 0.080
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 1 0.0000 0.81051 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.0000 0.83913 0.000 1.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 2 0.6531 0.70280 0.168 0.832
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 1 0.5294 0.76068 0.880 0.120
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 2 0.0000 0.83913 0.000 1.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.5408 0.85359 0.124 0.876
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 2 0.5408 0.74873 0.124 0.876
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.5408 0.85359 0.124 0.876
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4690 0.85447 0.100 0.900
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.5408 0.75840 0.876 0.124
#> 24623812-EE00-4264-AB45-C88B770FF27E 2 0.0000 0.83913 0.000 1.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 2 0.8386 0.56232 0.268 0.732
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.5408 0.85359 0.124 0.876
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 2 0.8386 0.56232 0.268 0.732
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 2 0.8386 0.56232 0.268 0.732
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 1 0.8713 0.62776 0.708 0.292
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.5294 0.85419 0.120 0.880
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#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 2 0.5408 0.85359 0.124 0.876
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.5294 0.85419 0.120 0.880
#> 397C8251-A0C6-40DC-AB16-86881797473B 2 0.0376 0.84020 0.004 0.996
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 2 0.8443 0.55553 0.272 0.728
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 2 0.0376 0.83747 0.004 0.996
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 2 0.5408 0.85359 0.124 0.876
#> 424A05C2-C0C2-439A-A483-E959810E155B 1 0.0000 0.81051 1.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 2 0.6531 0.70280 0.168 0.832
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.0000 0.83913 0.000 1.000
#> D709688D-812C-4903-B1CB-50C035FC97BB 2 0.5408 0.85359 0.124 0.876
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 2 0.1843 0.82514 0.028 0.972
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 2 0.5408 0.85359 0.124 0.876
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.4298 0.85348 0.088 0.912
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 2 0.8144 0.59545 0.252 0.748
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 2 0.8386 0.56232 0.268 0.732
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 2 0.5519 0.74485 0.128 0.872
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.0672 0.83580 0.008 0.992
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 2 0.8386 0.56232 0.268 0.732
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 2 0.7139 0.66932 0.196 0.804
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 2 0.0000 0.83913 0.000 1.000
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 2 0.5408 0.85359 0.124 0.876
#> 29968837-2519-4D95-91CE-EC981D6781DC 2 0.5178 0.85452 0.116 0.884
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 2 0.2603 0.81487 0.044 0.956
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.5294 0.85419 0.120 0.880
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 2 0.8267 0.57580 0.260 0.740
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 2 0.4939 0.76382 0.108 0.892
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 1 0.0000 0.81051 1.000 0.000
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 1 0.0000 0.81051 1.000 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.0000 0.83913 0.000 1.000
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.6531 0.81538 0.168 0.832
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.8499 0.65868 0.276 0.724
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 1 0.1843 0.80432 0.972 0.028
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.0000 0.83913 0.000 1.000
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 2 0.7602 0.63701 0.220 0.780
#> 52893AFF-C014-411F-B220-2A17D82C383D 2 0.0000 0.83913 0.000 1.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.5178 0.85452 0.116 0.884
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 1 0.0672 0.80864 0.992 0.008
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.5178 0.85452 0.116 0.884
#> 18D832D1-14AD-4E0C-B051-566D9554A968 2 0.0000 0.83913 0.000 1.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.5294 0.85419 0.120 0.880
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.5408 0.85359 0.124 0.876
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.5408 0.85359 0.124 0.876
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 2 0.0000 0.83913 0.000 1.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.5178 0.85452 0.116 0.884
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 2 0.7602 0.63701 0.220 0.780
#> BF6A4609-CF64-469A-B15E-223566056D97 1 0.8713 0.62807 0.708 0.292
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.5408 0.85359 0.124 0.876
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 2 0.8386 0.56232 0.268 0.732
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 2 0.2236 0.82016 0.036 0.964
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.5408 0.85359 0.124 0.876
#> E80C7EE2-1220-4070-ACB1-276763318139 2 0.0000 0.83913 0.000 1.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.5408 0.85359 0.124 0.876
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.5294 0.85419 0.120 0.880
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.5408 0.85359 0.124 0.876
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5408 0.85359 0.124 0.876
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.5178 0.85452 0.116 0.884
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.5408 0.85359 0.124 0.876
#> 579F0D8B-766D-4478-86B8-47B24A97052C 1 0.8386 0.65738 0.732 0.268
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.5294 0.85419 0.120 0.880
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.5408 0.85359 0.124 0.876
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 1 0.0000 0.81051 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0000 0.912 1.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0424 0.910 0.992 0.000 0.008
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.0237 0.912 0.996 0.004 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.0000 0.978 0.000 1.000 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.6008 0.518 0.372 0.000 0.628
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.1753 0.934 0.000 0.952 0.048
#> 7D2EF3FC-2977-4410-947F-244B54755779 1 0.3686 0.839 0.860 0.140 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.0000 0.978 0.000 1.000 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0000 0.912 1.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0000 0.912 1.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.4062 0.813 0.836 0.164 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.5706 0.443 0.680 0.000 0.320
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0000 0.978 0.000 1.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.0000 0.912 1.000 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0000 0.978 0.000 1.000 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0000 0.978 0.000 1.000 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.3752 0.838 0.856 0.144 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 2 0.0829 0.968 0.012 0.984 0.004
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.0424 0.907 0.008 0.000 0.992
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0000 0.978 0.000 1.000 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0000 0.978 0.000 1.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 1 0.6225 0.348 0.568 0.432 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.0000 0.978 0.000 1.000 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0892 0.910 0.980 0.020 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0000 0.978 0.000 1.000 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0000 0.978 0.000 1.000 0.000
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0000 0.978 0.000 1.000 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0000 0.978 0.000 1.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 1 0.3116 0.865 0.892 0.108 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.0000 0.978 0.000 1.000 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0237 0.975 0.000 0.996 0.004
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 1 0.0000 0.912 1.000 0.000 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.0424 0.973 0.008 0.992 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.4796 0.709 0.000 0.780 0.220
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.1031 0.905 0.024 0.000 0.976
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.912 1.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.0000 0.978 0.000 1.000 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0000 0.978 0.000 1.000 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.1860 0.899 0.948 0.052 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0000 0.978 0.000 1.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.0000 0.978 0.000 1.000 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0000 0.978 0.000 1.000 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0000 0.978 0.000 1.000 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.0424 0.973 0.008 0.992 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0000 0.912 1.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6168 0.233 0.412 0.588 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.1753 0.894 0.048 0.000 0.952
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.1163 0.903 0.028 0.000 0.972
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0237 0.911 0.996 0.000 0.004
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.909 0.000 0.000 1.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.909 0.000 0.000 1.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 1 0.4002 0.816 0.840 0.160 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.912 1.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0747 0.905 0.016 0.000 0.984
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.3116 0.865 0.892 0.108 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0000 0.978 0.000 1.000 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.0000 0.912 1.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0000 0.978 0.000 1.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 2 0.4782 0.766 0.164 0.820 0.016
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 3 0.4654 0.779 0.208 0.000 0.792
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.3551 0.848 0.868 0.132 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.0000 0.912 1.000 0.000 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0000 0.978 0.000 1.000 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.0424 0.910 0.992 0.000 0.008
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0424 0.910 0.992 0.000 0.008
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0592 0.969 0.000 0.988 0.012
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.0000 0.978 0.000 1.000 0.000
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.0592 0.911 0.988 0.012 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0237 0.911 0.996 0.000 0.004
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 3 0.4326 0.785 0.012 0.144 0.844
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.3686 0.840 0.860 0.140 0.000
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0000 0.978 0.000 1.000 0.000
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.0237 0.912 0.996 0.004 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.0424 0.912 0.992 0.008 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0000 0.978 0.000 1.000 0.000
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0237 0.976 0.004 0.996 0.000
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 1 0.3686 0.839 0.860 0.140 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.4605 0.716 0.204 0.796 0.000
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0237 0.911 0.996 0.000 0.004
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0000 0.978 0.000 1.000 0.000
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.0424 0.973 0.008 0.992 0.000
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3941 0.825 0.844 0.156 0.000
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0424 0.910 0.992 0.000 0.008
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.0000 0.978 0.000 1.000 0.000
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0000 0.912 1.000 0.000 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.0000 0.912 1.000 0.000 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.912 1.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.0000 0.978 0.000 1.000 0.000
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.4399 0.782 0.812 0.188 0.000
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.0000 0.978 0.000 1.000 0.000
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.3412 0.854 0.124 0.000 0.876
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0000 0.978 0.000 1.000 0.000
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0424 0.910 0.992 0.000 0.008
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.0424 0.973 0.008 0.992 0.000
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.0237 0.976 0.004 0.996 0.000
#> 54835A82-ED8A-440C-B092-743CECBD1528 1 0.6192 0.375 0.580 0.420 0.000
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.0592 0.911 0.988 0.012 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0000 0.978 0.000 1.000 0.000
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.0747 0.964 0.016 0.984 0.000
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0000 0.978 0.000 1.000 0.000
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0000 0.912 1.000 0.000 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0000 0.978 0.000 1.000 0.000
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0000 0.978 0.000 1.000 0.000
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0424 0.907 0.000 0.008 0.992
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.6215 0.394 0.428 0.000 0.572
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.3941 0.825 0.844 0.156 0.000
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 1 0.8311 0.559 0.628 0.216 0.156
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0424 0.907 0.000 0.008 0.992
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.2711 0.879 0.912 0.088 0.000
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.0000 0.912 1.000 0.000 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0000 0.978 0.000 1.000 0.000
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.3686 0.840 0.860 0.140 0.000
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0000 0.912 1.000 0.000 0.000
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.1289 0.950 0.000 0.968 0.032
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0000 0.978 0.000 1.000 0.000
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.4346 0.716 0.816 0.000 0.184
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 1 0.3752 0.835 0.856 0.144 0.000
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#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.909 0.000 0.000 1.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.0000 0.978 0.000 1.000 0.000
#> 18D832D1-14AD-4E0C-B051-566D9554A968 1 0.3619 0.842 0.864 0.136 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0000 0.978 0.000 1.000 0.000
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0000 0.978 0.000 1.000 0.000
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0000 0.978 0.000 1.000 0.000
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 1 0.3619 0.842 0.864 0.136 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0000 0.978 0.000 1.000 0.000
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0000 0.912 1.000 0.000 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.2796 0.888 0.000 0.908 0.092
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0000 0.978 0.000 1.000 0.000
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0424 0.910 0.992 0.000 0.008
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0000 0.912 1.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0000 0.978 0.000 1.000 0.000
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.3686 0.839 0.860 0.140 0.000
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0000 0.978 0.000 1.000 0.000
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.0000 0.978 0.000 1.000 0.000
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0000 0.978 0.000 1.000 0.000
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.0424 0.973 0.008 0.992 0.000
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0237 0.976 0.004 0.996 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.0000 0.978 0.000 1.000 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.1643 0.938 0.000 0.956 0.044
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0000 0.978 0.000 1.000 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0000 0.978 0.000 1.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.909 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.1474 0.9053 0.948 0.000 0.000 0.052
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.0817 0.9082 0.976 0.000 0.024 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2149 0.8834 0.912 0.000 0.000 0.088
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.1211 0.9369 0.000 0.960 0.000 0.040
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.3610 0.6681 0.200 0.000 0.800 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 2 0.1297 0.9364 0.000 0.964 0.020 0.016
#> 7D2EF3FC-2977-4410-947F-244B54755779 4 0.4389 0.7220 0.116 0.072 0.000 0.812
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.1022 0.9394 0.000 0.968 0.000 0.032
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0336 0.9147 0.992 0.000 0.000 0.008
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0336 0.9147 0.992 0.000 0.000 0.008
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6357 0.5360 0.656 0.160 0.000 0.184
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 1 0.4888 0.2699 0.588 0.000 0.412 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.4040 0.5939 0.248 0.000 0.000 0.752
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.0817 0.9446 0.000 0.976 0.000 0.024
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 1 0.2408 0.8765 0.920 0.044 0.000 0.036
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.1867 0.7309 0.000 0.072 0.000 0.928
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.3610 0.7247 0.000 0.000 0.800 0.200
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.0188 0.9491 0.000 0.996 0.000 0.004
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.2759 0.8893 0.044 0.904 0.000 0.052
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.1211 0.9394 0.000 0.960 0.000 0.040
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0188 0.9137 0.996 0.000 0.000 0.004
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 2 0.0469 0.9491 0.000 0.988 0.000 0.012
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 2 0.0469 0.9483 0.000 0.988 0.000 0.012
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 2 0.0592 0.9488 0.000 0.984 0.000 0.016
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.1661 0.7319 0.052 0.004 0.000 0.944
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.1022 0.9394 0.000 0.968 0.000 0.032
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 2 0.0469 0.9487 0.000 0.988 0.000 0.012
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.1661 0.7257 0.052 0.000 0.004 0.944
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.2973 0.8268 0.000 0.856 0.000 0.144
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 2 0.5004 0.3461 0.000 0.604 0.392 0.004
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.3668 0.7321 0.004 0.000 0.808 0.188
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0921 0.9128 0.972 0.000 0.000 0.028
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.1022 0.9421 0.000 0.968 0.000 0.032
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 2 0.0707 0.9462 0.000 0.980 0.000 0.020
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0336 0.9146 0.992 0.000 0.000 0.008
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 2 0.0469 0.9491 0.000 0.988 0.000 0.012
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.1022 0.9394 0.000 0.968 0.000 0.032
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.0188 0.9491 0.000 0.996 0.000 0.004
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 4 0.4072 0.6392 0.000 0.252 0.000 0.748
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1022 0.9118 0.968 0.000 0.000 0.032
#> 8228293D-EBBE-41FC-9C60-868504E91754 4 0.4134 0.6324 0.000 0.260 0.000 0.740
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.1389 0.8043 0.048 0.000 0.952 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.5018 0.5731 0.000 0.012 0.656 0.332
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0188 0.9144 0.996 0.000 0.000 0.004
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 4 0.4829 0.7034 0.068 0.156 0.000 0.776
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0592 0.9147 0.984 0.000 0.000 0.016
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 1 0.4979 0.7151 0.760 0.064 0.000 0.176
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.0336 0.9486 0.000 0.992 0.000 0.008
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1474 0.9047 0.948 0.000 0.000 0.052
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.1824 0.7300 0.000 0.060 0.004 0.936
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.2125 0.8776 0.920 0.000 0.076 0.004
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.2363 0.8725 0.920 0.056 0.000 0.024
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.1302 0.9083 0.956 0.000 0.000 0.044
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.1398 0.8991 0.956 0.004 0.000 0.040
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.0921 0.9123 0.972 0.000 0.000 0.028
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.1211 0.9369 0.000 0.960 0.000 0.040
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 1 0.2011 0.8826 0.920 0.000 0.000 0.080
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0817 0.9132 0.976 0.000 0.000 0.024
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 4 0.3764 0.6339 0.000 0.040 0.116 0.844
#> E130F8A6-004B-45B9-9322-BCB2F402E583 1 0.3278 0.8017 0.864 0.116 0.000 0.020
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.1389 0.9068 0.952 0.000 0.000 0.048
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.1637 0.9000 0.940 0.000 0.000 0.060
#> 0224A9CC-1439-462F-8E71-857C27FF3050 2 0.0592 0.9463 0.000 0.984 0.000 0.016
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 2 0.0817 0.9438 0.000 0.976 0.000 0.024
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.1489 0.7304 0.044 0.004 0.000 0.952
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 2 0.1209 0.9394 0.004 0.964 0.000 0.032
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0188 0.9144 0.996 0.000 0.000 0.004
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 2 0.0188 0.9491 0.000 0.996 0.000 0.004
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 4 0.4888 0.3732 0.000 0.412 0.000 0.588
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.3708 0.7492 0.832 0.148 0.000 0.020
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.9139 1.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.1637 0.9278 0.000 0.940 0.000 0.060
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.1022 0.9118 0.968 0.000 0.000 0.032
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.3024 0.8292 0.852 0.000 0.000 0.148
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0188 0.9144 0.996 0.000 0.000 0.004
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.1022 0.9417 0.000 0.968 0.000 0.032
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 1 0.4831 0.6310 0.752 0.208 0.000 0.040
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.1888 0.9216 0.016 0.940 0.000 0.044
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 3 0.5638 0.4710 0.028 0.000 0.584 0.388
#> EF87699E-C04F-4087-92A5-DE43444658F8 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 1 0.0779 0.9107 0.980 0.000 0.004 0.016
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 2 0.4804 0.3458 0.000 0.616 0.000 0.384
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.3311 0.8015 0.000 0.828 0.000 0.172
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.3400 0.7965 0.000 0.820 0.000 0.180
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 1 0.4998 0.0940 0.512 0.000 0.000 0.488
#> FB60555C-BAAB-4561-99A4-5C77101253A9 2 0.0592 0.9475 0.000 0.984 0.000 0.016
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.1302 0.9343 0.000 0.956 0.000 0.044
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.0469 0.9482 0.000 0.988 0.000 0.012
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.1118 0.9110 0.964 0.000 0.000 0.036
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 2 0.0469 0.9490 0.000 0.988 0.000 0.012
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 2 0.0817 0.9448 0.000 0.976 0.000 0.024
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.0188 0.8262 0.000 0.000 0.996 0.004
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 3 0.6316 0.5010 0.080 0.000 0.596 0.324
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.4037 0.7565 0.824 0.136 0.000 0.040
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 3 0.8181 -0.1201 0.008 0.300 0.352 0.340
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.1059 0.9092 0.972 0.012 0.000 0.016
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.1637 0.9017 0.940 0.000 0.000 0.060
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.0817 0.9445 0.000 0.976 0.000 0.024
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.2593 0.8233 0.892 0.104 0.000 0.004
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.1302 0.9084 0.956 0.000 0.000 0.044
#> AA93F500-7EA0-4595-AB77-FA1291AA7CEE 2 0.3149 0.8536 0.000 0.880 0.088 0.032
#> C43B2D2F-815C-47B1-BD41-59E6883BF2C3 2 0.0817 0.9432 0.000 0.976 0.000 0.024
#> 0990F823-0F26-4B81-8C4F-531854BDB0E7 1 0.1792 0.8862 0.932 0.000 0.068 0.000
#> 82FCB295-A0F7-4548-8C74-654B8F21921F 4 0.6661 0.5653 0.264 0.132 0.000 0.604
#> 88124AEE-7AC1-4C0D-9076-7F7C587213DD 1 0.0188 0.9144 0.996 0.000 0.000 0.004
#> 335E5CEC-B3F2-41ED-AC78-B6A1404F01F4 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 30CBAFDB-D1A6-4DF8-8D9E-3EEFA85F1195 2 0.0469 0.9491 0.000 0.988 0.000 0.012
#> 57B5E017-4EFD-4A01-80A2-053C8C8B8D41 1 0.4360 0.6961 0.744 0.008 0.000 0.248
#> 66B28FC4-B101-4745-8495-49EB475F9750 3 0.4605 0.4903 0.336 0.000 0.664 0.000
#> 70781843-4B31-4FDC-A05D-6D8A9F406FCF 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 768F71F0-67BE-4EFC-A1FA-2E1B370309A7 2 0.3024 0.8245 0.000 0.852 0.000 0.148
#> ADE5AFF7-E298-4C18-BA7D-B3B8BF950FDC 2 0.0336 0.9490 0.000 0.992 0.000 0.008
#> 2EFD2723-F627-4CE0-B8DE-6CF68FF8065A 4 0.3907 0.6560 0.000 0.232 0.000 0.768
#> 6E2502CB-DF7F-4D9B-8BE2-031AE75A2D76 1 0.5964 0.2197 0.536 0.040 0.000 0.424
#> 2C9544CF-6DDD-4DE5-A67E-0DE0F4C6B6E7 1 0.0336 0.9145 0.992 0.000 0.000 0.008
#> 18855183-8342-4E16-8A63-A946A49E9421 4 0.3745 0.7417 0.060 0.088 0.000 0.852
#> 9C070806-49E3-419C-A8BF-8B6DE0A53CAE 2 0.4429 0.7666 0.008 0.804 0.156 0.032
#> 64594EA8-FAFB-4CC8-885A-3809A0022C9D 2 0.1211 0.9369 0.000 0.960 0.000 0.040
#> 36AA41AC-6D5E-4FB1-BCC2-8D15282E5241 2 0.0469 0.9479 0.000 0.988 0.000 0.012
#> F1565477-7479-4777-BD07-C6480B421166 2 0.3099 0.8748 0.020 0.876 0.000 0.104
#> FD84F081-8464-401B-8D2B-E7CA238ACEA6 2 0.1022 0.9394 0.000 0.968 0.000 0.032
#> A69B2568-0BC5-4F08-A2C0-6DD793FDE7A8 2 0.2002 0.9179 0.020 0.936 0.000 0.044
#> B2FF9472-A988-4FA0-8405-BE271EEC3C70 2 0.0592 0.9475 0.000 0.984 0.000 0.016
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#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.4992 0.0319 0.476 0.000 0.000 0.524
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.0707 0.9452 0.000 0.980 0.000 0.020
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.1675 0.7283 0.044 0.004 0.004 0.948
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0188 0.9137 0.996 0.000 0.000 0.004
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.1940 0.7992 0.000 0.000 0.924 0.076
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.4098 0.7141 0.000 0.012 0.784 0.204
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 1 0.4656 0.7064 0.784 0.160 0.000 0.056
#> EAA457D5-032F-49D0-8D27-A841EB248964 2 0.1356 0.9318 0.000 0.960 0.032 0.008
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 2 0.4072 0.6395 0.000 0.748 0.000 0.252
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.2647 0.8527 0.880 0.000 0.000 0.120
#> 52893AFF-C014-411F-B220-2A17D82C383D 4 0.5056 0.6854 0.164 0.076 0.000 0.760
#> 51447C55-B00E-4013-AF02-5C35DAB19839 2 0.1118 0.9372 0.000 0.964 0.000 0.036
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0000 0.8279 0.000 0.000 1.000 0.000
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.1302 0.9343 0.000 0.956 0.000 0.044
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.1576 0.7295 0.048 0.004 0.000 0.948
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.0707 0.9451 0.000 0.980 0.000 0.020
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.0707 0.9457 0.000 0.980 0.000 0.020
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 2 0.0188 0.9492 0.000 0.996 0.000 0.004
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 4 0.5309 0.6812 0.164 0.092 0.000 0.744
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.1211 0.9097 0.960 0.000 0.000 0.040
#> BF6A4609-CF64-469A-B15E-223566056D97 2 0.4837 0.4666 0.000 0.648 0.348 0.004
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 2 0.0469 0.9483 0.000 0.988 0.000 0.012
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.0188 0.9144 0.996 0.000 0.000 0.004
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.0592 0.9148 0.984 0.000 0.000 0.016
#> 931BA141-E979-447E-B046-1983AAC34281 2 0.0188 0.9491 0.000 0.996 0.000 0.004
#> E80C7EE2-1220-4070-ACB1-276763318139 1 0.4724 0.7539 0.792 0.096 0.000 0.112
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 2 0.0469 0.9491 0.000 0.988 0.000 0.012
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 2 0.1302 0.9345 0.000 0.956 0.000 0.044
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.0336 0.9488 0.000 0.992 0.000 0.008
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.2266 0.8935 0.000 0.912 0.004 0.084
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.0921 0.9417 0.000 0.972 0.000 0.028
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.1302 0.9310 0.000 0.956 0.000 0.044
#> 579F0D8B-766D-4478-86B8-47B24A97052C 2 0.1004 0.9417 0.000 0.972 0.024 0.004
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.0707 0.9450 0.000 0.980 0.000 0.020
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 2 0.0469 0.9483 0.000 0.988 0.000 0.012
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0000 0.8279 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0798 0.8665 0.976 0.016 0.000 0.008 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.2470 0.8350 0.884 0.104 0.000 0.012 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2729 0.8285 0.884 0.056 0.000 0.060 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 2 0.2605 0.7851 0.000 0.852 0.000 0.000 0.148
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 3 0.4214 0.6866 0.088 0.120 0.788 0.004 0.000
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 5 0.3063 0.7676 0.000 0.036 0.096 0.004 0.864
#> 7D2EF3FC-2977-4410-947F-244B54755779 2 0.5798 0.5243 0.128 0.672 0.000 0.172 0.028
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 2 0.3039 0.7810 0.000 0.808 0.000 0.000 0.192
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.0880 0.8669 0.968 0.032 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.0404 0.8688 0.988 0.012 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 1 0.6057 0.4382 0.596 0.076 0.000 0.032 0.296
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 3 0.6254 0.2978 0.376 0.108 0.504 0.012 0.000
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 5 0.0963 0.8459 0.000 0.036 0.000 0.000 0.964
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 4 0.3586 0.6145 0.264 0.000 0.000 0.736 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 5 0.1124 0.8433 0.000 0.036 0.000 0.004 0.960
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.3636 0.7398 0.000 0.728 0.000 0.000 0.272
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 2 0.4881 0.0231 0.460 0.520 0.000 0.016 0.004
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.0693 0.7872 0.012 0.008 0.000 0.980 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 3 0.3522 0.6251 0.000 0.004 0.780 0.212 0.004
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 2 0.4341 0.4600 0.000 0.592 0.000 0.004 0.404
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 5 0.0324 0.8460 0.000 0.004 0.004 0.000 0.992
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 2 0.3001 0.7879 0.008 0.844 0.000 0.004 0.144
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.3366 0.7758 0.000 0.784 0.000 0.004 0.212
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0162 0.8685 0.996 0.004 0.000 0.000 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 5 0.0794 0.8465 0.000 0.028 0.000 0.000 0.972
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 5 0.1704 0.8273 0.000 0.068 0.000 0.004 0.928
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 5 0.1544 0.8311 0.000 0.068 0.000 0.000 0.932
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 5 0.0451 0.8468 0.000 0.008 0.000 0.004 0.988
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.4965 0.5361 0.052 0.304 0.000 0.644 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.4449 0.3631 0.000 0.512 0.000 0.004 0.484
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 5 0.0451 0.8447 0.000 0.004 0.008 0.000 0.988
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0703 0.7872 0.024 0.000 0.000 0.976 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 2 0.6184 0.3997 0.000 0.480 0.000 0.380 0.140
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.6312 0.3732 0.000 0.200 0.524 0.000 0.276
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 3 0.3491 0.6083 0.004 0.000 0.768 0.228 0.000
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.8686 1.000 0.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 2 0.2763 0.7865 0.000 0.848 0.000 0.004 0.148
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 5 0.1041 0.8460 0.000 0.032 0.000 0.004 0.964
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0703 0.8658 0.976 0.024 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 5 0.0404 0.8451 0.000 0.012 0.000 0.000 0.988
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 5 0.4446 -0.2472 0.000 0.476 0.000 0.004 0.520
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 5 0.0963 0.8436 0.000 0.036 0.000 0.000 0.964
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4307 0.2855 0.000 0.500 0.000 0.000 0.500
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 2 0.5164 0.6376 0.000 0.660 0.000 0.256 0.084
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.0794 0.8661 0.972 0.028 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.5656 0.5648 0.000 0.588 0.000 0.308 0.104
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 3 0.2580 0.7446 0.044 0.064 0.892 0.000 0.000
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 3 0.4538 0.2352 0.004 0.004 0.564 0.428 0.000
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0000 0.8686 1.000 0.000 0.000 0.000 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 3 0.0324 0.7801 0.000 0.004 0.992 0.000 0.004
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 3 0.0162 0.7807 0.000 0.004 0.996 0.000 0.000
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.6271 0.5793 0.116 0.660 0.000 0.136 0.088
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0290 0.8693 0.992 0.008 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 3 0.1121 0.7705 0.000 0.044 0.956 0.000 0.000
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 2 0.4526 0.4979 0.300 0.672 0.000 0.028 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.3636 0.7386 0.000 0.728 0.000 0.000 0.272
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1908 0.8271 0.908 0.092 0.000 0.000 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 5 0.0609 0.8472 0.000 0.020 0.000 0.000 0.980
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.2649 0.7666 0.000 0.036 0.048 0.900 0.016
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.2753 0.8321 0.876 0.104 0.008 0.012 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.4449 0.0496 0.512 0.484 0.000 0.004 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.2844 0.8348 0.876 0.092 0.004 0.028 0.000
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 2 0.2930 0.7859 0.000 0.832 0.000 0.004 0.164
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.2189 0.8489 0.904 0.084 0.000 0.012 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1478 0.8575 0.936 0.064 0.000 0.000 0.000
#> BD0AC085-7C78-4500-BC66-AEF6F7DB312C 5 0.2429 0.8179 0.000 0.076 0.020 0.004 0.900
#> E4710FE0-567F-4F12-95A3-40667BDBF8E3 2 0.2648 0.7870 0.000 0.848 0.000 0.000 0.152
#> 02BF0DCA-1D2D-45A9-8834-DF790C97612D 2 0.4561 -0.0301 0.488 0.504 0.000 0.008 0.000
#> 4D4E894A-91BA-4DEB-803F-473EE53A2B2C 1 0.0703 0.8671 0.976 0.024 0.000 0.000 0.000
#> 34A6454E-814C-4EA3-B807-AC006D9CA9DF 4 0.0693 0.7859 0.008 0.012 0.000 0.980 0.000
#> E130F8A6-004B-45B9-9322-BCB2F402E583 2 0.4401 0.4684 0.328 0.656 0.000 0.000 0.016
#> 231614D1-4FD6-455D-A65D-364599F6167D 2 0.3366 0.7741 0.000 0.784 0.000 0.004 0.212
#> C251F9AE-905C-4D5C-8ED5-35F75407F4D9 1 0.2519 0.8225 0.884 0.100 0.000 0.016 0.000
#> 2ABA10FC-260A-4F66-B824-A78A713E31C0 1 0.4356 0.5054 0.648 0.340 0.000 0.012 0.000
#> 0224A9CC-1439-462F-8E71-857C27FF3050 5 0.1116 0.8477 0.000 0.028 0.004 0.004 0.964
#> D10620DB-36FB-4D4E-8952-F1E90DA9375E 5 0.3671 0.6166 0.000 0.236 0.000 0.008 0.756
#> E0250265-D9F7-44F1-9075-90E882EB9AB3 4 0.1965 0.7862 0.052 0.024 0.000 0.924 0.000
#> 68FDBA6A-8B0B-424C-8F11-BA34BE192D41 5 0.3187 0.7139 0.096 0.036 0.000 0.008 0.860
#> BA9FE158-643C-4E44-93C3-6ABAEB1A9B2E 1 0.0162 0.8685 0.996 0.004 0.000 0.000 0.000
#> FB81893B-A36C-4206-8C37-5271B73BCD2D 5 0.3774 0.4738 0.000 0.296 0.000 0.000 0.704
#> C6B01C06-EE78-41EB-B17D-71622C9DF493 2 0.4493 0.7400 0.000 0.756 0.000 0.136 0.108
#> 2C1A58F2-5BD0-4775-A833-7A3902CAF1CA 1 0.4191 0.6857 0.772 0.032 0.000 0.012 0.184
#> AABC07BF-FBDF-4A76-BB77-94176760DC1C 1 0.0000 0.8686 1.000 0.000 0.000 0.000 0.000
#> 26FE9BF9-E609-4974-95B5-F39B1F3AA7C9 2 0.3333 0.7769 0.000 0.788 0.000 0.004 0.208
#> 448040C4-81B1-48CD-BF9F-6098653DBF13 1 0.0865 0.8658 0.972 0.024 0.000 0.004 0.000
#> F2FD159C-DF64-488E-9E73-59DBADE091F9 1 0.3649 0.7532 0.808 0.040 0.000 0.152 0.000
#> 4EAFA40D-95C7-4092-837C-F01BCC9CC725 1 0.0000 0.8686 1.000 0.000 0.000 0.000 0.000
#> 9BD81F22-DC46-40B1-96F2-CD1857EEA076 2 0.2929 0.7862 0.000 0.840 0.000 0.008 0.152
#> 9EFE812F-A159-4736-8C13-AEFFAF3E60B6 2 0.3878 0.7718 0.040 0.820 0.000 0.020 0.120
#> 5E1D8FD3-8E0F-4950-8B00-8F4EAA206EC0 2 0.2648 0.7870 0.000 0.848 0.000 0.000 0.152
#> 63DEB47F-620A-42E8-BC06-AFBC65DED20E 4 0.4291 0.5168 0.016 0.004 0.276 0.704 0.000
#> EF87699E-C04F-4087-92A5-DE43444658F8 5 0.3607 0.6032 0.000 0.244 0.000 0.004 0.752
#> 33A6FE7F-6F11-4881-AFC8-0809950E8601 2 0.4618 0.4497 0.192 0.748 0.036 0.024 0.000
#> 19C541DC-689A-4619-B7CD-9CAC6FABB862 4 0.3115 0.7001 0.000 0.036 0.000 0.852 0.112
#> 65497CE2-3302-4F15-8C0F-F13C2B3BBCE4 2 0.3123 0.7836 0.000 0.812 0.000 0.004 0.184
#> 54835A82-ED8A-440C-B092-743CECBD1528 2 0.4682 0.7144 0.060 0.724 0.000 0.004 0.212
#> 0CD2FB77-7C2F-41F1-8EA3-C3463656FC49 4 0.4891 0.5024 0.316 0.044 0.000 0.640 0.000
#> FB60555C-BAAB-4561-99A4-5C77101253A9 5 0.1121 0.8411 0.000 0.044 0.000 0.000 0.956
#> 3DB81800-42B8-4A8B-A568-17E8A244DD3E 2 0.2890 0.7872 0.004 0.836 0.000 0.000 0.160
#> 22CAB15A-BD11-423B-9E11-A9E0BAD578A3 2 0.3170 0.7868 0.000 0.828 0.004 0.008 0.160
#> A6B509FD-9448-455D-A4CF-F0FD8BDF2C3D 1 0.0771 0.8658 0.976 0.020 0.000 0.004 0.000
#> 9F890442-9D7F-49D1-887E-B2D7667A4E5A 5 0.1965 0.8028 0.000 0.096 0.000 0.000 0.904
#> 1A9EDF2D-1181-4984-AB89-DA63E78E44C0 5 0.0566 0.8462 0.000 0.012 0.000 0.004 0.984
#> E0DAA7DA-88E6-419B-9FA5-539F7072232B 3 0.4307 0.0499 0.000 0.000 0.504 0.000 0.496
#> BA1E1F22-6865-48A0-97B6-7315F35B45D6 1 0.7672 -0.0186 0.428 0.092 0.152 0.328 0.000
#> C9C32541-647D-4436-93F6-6A90DB0CD4B3 1 0.3716 0.7101 0.800 0.020 0.000 0.008 0.172
#> 4D3CAFA9-CE43-43C0-AC6A-FD930168467C 2 0.3527 0.6565 0.000 0.852 0.076 0.048 0.024
#> 14B59970-8F21-4201-9DA3-F78943A62534 3 0.1408 0.7692 0.000 0.044 0.948 0.000 0.008
#> 07E4B4AA-6B2A-4ACF-A629-87E116DBC439 1 0.0854 0.8693 0.976 0.012 0.000 0.004 0.008
#> 98BBD96A-198B-44D3-81F5-19C8DF263397 1 0.1211 0.8629 0.960 0.016 0.000 0.024 0.000
#> FC3798B2-A9D2-4171-BA48-02C0A080AAB9 2 0.3857 0.6924 0.000 0.688 0.000 0.000 0.312
#> 8709CFA2-0F90-4A18-B5EF-56D1D60A7947 1 0.1579 0.8551 0.944 0.024 0.000 0.000 0.032
#> 41EBC622-76BA-4EA7-98B9-BA27AC8EB155 1 0.0771 0.8658 0.976 0.020 0.000 0.004 0.000
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#> A7ACE9AB-51BC-4031-8C1A-DB89463A195A 5 0.3662 0.5720 0.000 0.252 0.000 0.004 0.744
#> 404AFCE1-7048-4FB7-821F-3E47FFD1121D 2 0.4332 0.7385 0.048 0.804 0.000 0.048 0.100
#> 413227C4-B5A5-4B15-B8BD-BB0EBFE49898 3 0.0794 0.7761 0.000 0.028 0.972 0.000 0.000
#> C74C860B-4BE4-4889-AA1C-1B4B6ABA0762 3 0.4829 0.0843 0.000 0.000 0.500 0.020 0.480
#> 10E5FBB7-B2E8-4B8C-B1D5-5FCC416C1470 3 0.2891 0.7195 0.000 0.176 0.824 0.000 0.000
#> 51FED657-41CD-4B03-9E57-4A1EC2E10FF2 5 0.0404 0.8451 0.000 0.012 0.000 0.000 0.988
#> 495C0075-8BB1-4616-8896-1F5F59E8332F 2 0.3876 0.6952 0.000 0.684 0.000 0.000 0.316
#> AFB23D0B-7501-47D2-B0CA-098DBB76E8F8 5 0.4221 0.5764 0.000 0.032 0.236 0.000 0.732
#> 9A01C178-606B-4AEB-BC25-DB026589C1B3 2 0.4523 0.7015 0.000 0.764 0.012 0.160 0.064
#> C5B99B79-067A-48F9-95E4-35770562E686 4 0.4713 0.6912 0.128 0.036 0.064 0.772 0.000
#> 6269A48D-C64C-44B0-A1DC-EE3EE71B782C 1 0.0162 0.8694 0.996 0.004 0.000 0.000 0.000
#> D52D0A66-D871-430E-8330-B4834FF4C6F4 1 0.5067 0.6062 0.700 0.092 0.000 0.004 0.204
#> 8F770678-E467-4FB7-8C48-9BBE52490145 2 0.4196 0.6161 0.000 0.640 0.000 0.004 0.356
#> F703B62A-687F-4084-BC52-DE28EDE411C3 5 0.0703 0.8464 0.000 0.024 0.000 0.000 0.976
#> 2B311B93-2F1E-4562-88BF-ED5BAE8D9AC8 2 0.4098 0.7115 0.000 0.780 0.000 0.156 0.064
#> CAAFA950-21DF-4470-B5F1-C239F77B9FCD 1 0.2642 0.8318 0.880 0.104 0.008 0.008 0.000
#> 6CD0D15D-C8F2-48C4-8FCE-22643DCCA901 4 0.3401 0.7688 0.064 0.096 0.000 0.840 0.000
#> CDCB0435-9E2E-4C9B-B2E0-58FF248ABC41 1 0.2036 0.8476 0.920 0.024 0.000 0.056 0.000
#> BA8E9342-8E53-42FF-B74A-682C3372ABBF 1 0.4911 0.5042 0.652 0.032 0.000 0.008 0.308
#> 5F3FDD0F-558A-4A1C-B9E6-30699D70945B 5 0.1341 0.8379 0.000 0.056 0.000 0.000 0.944
#> F23A5C90-FD19-4CBB-B71F-0596C593D2D4 2 0.4182 0.5547 0.000 0.600 0.000 0.000 0.400
#> 397C8251-A0C6-40DC-AB16-86881797473B 4 0.4734 0.4513 0.000 0.312 0.000 0.652 0.036
#> BA076C72-472E-42AB-AD66-BBA92DA293E4 4 0.0609 0.7873 0.020 0.000 0.000 0.980 0.000
#> 14BF8D05-9341-4F28-98BA-966BBBAC7635 2 0.5320 0.1399 0.424 0.524 0.000 0.052 0.000
#> 4E9C1055-3717-42B7-B86C-9717FB90544F 5 0.0703 0.8468 0.000 0.024 0.000 0.000 0.976
#> 424A05C2-C0C2-439A-A483-E959810E155B 3 0.0000 0.7809 0.000 0.000 1.000 0.000 0.000
#> 8B6F9CCD-0878-419B-9872-373D18CA67AA 1 0.0609 0.8681 0.980 0.020 0.000 0.000 0.000
#> EDFB8205-DF4D-421A-AC98-67DB0F3BA346 2 0.3260 0.7595 0.004 0.856 0.000 0.056 0.084
#> D709688D-812C-4903-B1CB-50C035FC97BB 5 0.0963 0.8367 0.000 0.036 0.000 0.000 0.964
#> C5B6835B-32B7-42FF-ACFF-2F0DA4EEFC4C 1 0.0451 0.8690 0.988 0.008 0.000 0.004 0.000
#> BE752C43-9892-4DB0-A8E3-64AFCABE925F 5 0.3160 0.7194 0.000 0.188 0.000 0.004 0.808
#> C8C567C2-1285-461E-BE21-C70C90D2B02A 2 0.3661 0.7368 0.000 0.724 0.000 0.000 0.276
#> E3F23DB1-AC1F-4FF9-BAB7-38EEDC12F114 3 0.5990 0.3684 0.000 0.384 0.500 0.116 0.000
#> 6AE24C3B-B580-4025-895D-2D1CBA388C4D 4 0.1628 0.7838 0.056 0.008 0.000 0.936 0.000
#> 9A97CD4B-A95D-471E-85F2-CBE8DD047159 1 0.1399 0.8609 0.952 0.028 0.000 0.020 0.000
#> DCC66B1E-B551-479E-884A-03B2D36C5DFD 2 0.6457 -0.0735 0.032 0.528 0.356 0.080 0.004
#> 2A9B1627-AABC-4FCD-8246-776712AF02D4 1 0.0955 0.8669 0.968 0.004 0.000 0.028 0.000
#> 8EEF316B-2ED7-48C7-A25E-B0A67585CD26 1 0.0162 0.8685 0.996 0.004 0.000 0.000 0.000
#> 58BFCE99-35E1-4D67-B3E4-5284890E5102 1 0.1822 0.8558 0.936 0.036 0.000 0.004 0.024
#> 32F08801-4D6D-479C-B4AE-9AE4D2378CB1 5 0.0703 0.8465 0.000 0.024 0.000 0.000 0.976
#> 29968837-2519-4D95-91CE-EC981D6781DC 4 0.5305 0.1220 0.012 0.028 0.000 0.524 0.436
#> 312C2055-9DB8-43E0-B423-B5624E61F24A 4 0.5592 0.5935 0.220 0.144 0.000 0.636 0.000
#> B7CBB860-A90E-4545-96C3-3F0BFC9051D7 2 0.3774 0.7229 0.000 0.704 0.000 0.000 0.296
#> D2F87D79-592F-4A1D-9A85-E9BEAD9EE16E 4 0.0609 0.7873 0.020 0.000 0.000 0.980 0.000
#> DD98C096-7D67-4DA4-A1FF-3387C50E2941 1 0.0880 0.8665 0.968 0.032 0.000 0.000 0.000
#> A61AD422-D887-4787-AAD3-F1CA72A386D4 3 0.1768 0.7485 0.000 0.000 0.924 0.072 0.004
#> 8914A606-D9C7-4B41-BC25-CFB8600CA845 3 0.3949 0.5057 0.000 0.004 0.696 0.300 0.000
#> 8F50678A-8C6A-4372-A2A7-11AA8042ACC7 2 0.4011 0.7549 0.056 0.808 0.000 0.012 0.124
#> EAA457D5-032F-49D0-8D27-A841EB248964 5 0.2891 0.7483 0.004 0.020 0.088 0.008 0.880
#> ACF3264C-41A7-480C-AE93-FFBA173FE01A 5 0.1205 0.8414 0.000 0.040 0.000 0.004 0.956
#> 797ABFDF-037D-4751-98BD-DF7A63A1D976 3 0.0609 0.7780 0.000 0.020 0.980 0.000 0.000
#> BC55CCAB-D8AD-4FF6-814D-508C2FBD5DFE 5 0.6756 -0.1960 0.000 0.344 0.000 0.268 0.388
#> B6779D5B-60A4-42AE-91B6-9C80443CEA4A 1 0.2915 0.8104 0.860 0.024 0.000 0.116 0.000
#> 52893AFF-C014-411F-B220-2A17D82C383D 2 0.5556 0.4302 0.108 0.616 0.000 0.276 0.000
#> 51447C55-B00E-4013-AF02-5C35DAB19839 5 0.3086 0.6913 0.000 0.180 0.000 0.004 0.816
#> 044E0165-6BB6-4510-BBD1-CE3451C118B9 3 0.0162 0.7801 0.000 0.000 0.996 0.000 0.004
#> EEF8B408-6F6F-4836-9A39-1C46101567B0 2 0.3039 0.7830 0.000 0.808 0.000 0.000 0.192
#> 18D832D1-14AD-4E0C-B051-566D9554A968 4 0.2104 0.7803 0.060 0.024 0.000 0.916 0.000
#> 108FA8A9-73E1-4E46-B271-CAF28C55683F 2 0.3039 0.7813 0.000 0.808 0.000 0.000 0.192
#> 20844F4E-E2E8-48BE-8F80-C8A67E1589E6 2 0.3160 0.7832 0.000 0.808 0.000 0.004 0.188
#> 4727A92F-1E11-4684-824C-E0D78AACA7F0 5 0.3561 0.5489 0.000 0.260 0.000 0.000 0.740
#> 64A094BC-0B96-4619-8C44-9FA35F55B4EB 2 0.4815 0.5183 0.064 0.692 0.000 0.244 0.000
#> 793B875F-3509-484E-AF24-4A9FA4BCB4FA 5 0.1043 0.8365 0.000 0.040 0.000 0.000 0.960
#> BEC06F32-C864-4D28-AE35-8BCCE34452C9 1 0.0671 0.8689 0.980 0.004 0.000 0.016 0.000
#> BF6A4609-CF64-469A-B15E-223566056D97 3 0.5870 0.4095 0.000 0.284 0.580 0.000 0.136
#> 0A1F6EFA-0476-426F-A567-2B4FDAF7B798 5 0.0566 0.8441 0.000 0.012 0.000 0.004 0.984
#> 74880702-8A08-4103-ABE3-ED9E53AD6207 1 0.2069 0.8485 0.912 0.076 0.000 0.012 0.000
#> 6E9BECB7-7B1E-41F6-B09F-138DBA4F49E0 1 0.1965 0.8324 0.904 0.096 0.000 0.000 0.000
#> 931BA141-E979-447E-B046-1983AAC34281 5 0.4425 0.0742 0.000 0.452 0.000 0.004 0.544
#> E80C7EE2-1220-4070-ACB1-276763318139 2 0.3766 0.5482 0.268 0.728 0.000 0.000 0.004
#> E6CE53AE-E5D4-4F87-AC26-3AC743A5D063 5 0.0510 0.8477 0.000 0.016 0.000 0.000 0.984
#> 3B81B007-DD24-468B-AA75-B9D087C5BC75 5 0.1082 0.8444 0.000 0.028 0.000 0.008 0.964
#> 56A65E96-BC49-42D3-A7A4-E3AD4E825C37 2 0.4294 0.3841 0.000 0.532 0.000 0.000 0.468
#> 498F1B72-2F4E-4223-A2D5-F275032F6252 2 0.5430 0.7309 0.000 0.728 0.060 0.092 0.120
#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4302 0.7491 0.000 0.720 0.000 0.032 0.248
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.4096 0.7778 0.000 0.760 0.000 0.040 0.200
#> 579F0D8B-766D-4478-86B8-47B24A97052C 5 0.3862 0.7375 0.000 0.104 0.088 0.000 0.808
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 5 0.3662 0.5521 0.000 0.252 0.000 0.004 0.744
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 5 0.0898 0.8392 0.000 0.020 0.000 0.008 0.972
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 3 0.0290 0.7810 0.000 0.008 0.992 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 4079ACED-7E3F-45F7-9E12-9CE82C42D94D 1 0.0858 0.810111 0.968 0.028 0.004 0.000 0.000 0.000
#> 851BB818-E8DF-4DF8-ABF2-88532831BCEF 1 0.3985 0.740683 0.760 0.140 0.000 0.000 0.100 0.000
#> 4B115BF9-0A99-445D-9C9F-7D2384552FC6 1 0.2664 0.734599 0.816 0.184 0.000 0.000 0.000 0.000
#> B35F913E-A1E9-48C7-9888-021F5D582DE2 5 0.2799 0.617182 0.000 0.064 0.076 0.000 0.860 0.000
#> 6B753EAC-4FA4-4055-A6F4-A05215D92BB3 6 0.4481 0.689284 0.004 0.188 0.004 0.000 0.084 0.720
#> 9AC9F416-1ABA-4A3D-B0C4-B25EEFE931BF 3 0.2207 0.748256 0.000 0.004 0.908 0.020 0.008 0.060
#> 7D2EF3FC-2977-4410-947F-244B54755779 2 0.4186 0.540105 0.132 0.784 0.012 0.032 0.040 0.000
#> BAE951CB-91F2-43FF-9485-CC6C826D7B4C 5 0.4723 0.526707 0.000 0.140 0.180 0.000 0.680 0.000
#> C227E512-1327-4BD0-8A9E-613D64F37829 1 0.1531 0.801047 0.928 0.068 0.004 0.000 0.000 0.000
#> 3A052DFC-7F7A-45C4-9773-1C0195879D3C 1 0.1007 0.809549 0.956 0.044 0.000 0.000 0.000 0.000
#> 50DFB8F0-2C2E-47A6-B22F-292B3AC87AAC 2 0.4851 0.520139 0.220 0.672 0.100 0.008 0.000 0.000
#> C2901B0D-FF6B-460E-9D53-8AC688FC7FC0 6 0.6710 0.104312 0.360 0.128 0.000 0.000 0.084 0.428
#> D262BBF8-3A91-4CA8-94E0-0A8B8A5874F5 2 0.3823 0.251088 0.000 0.564 0.436 0.000 0.000 0.000
#> 75D3F260-FFCE-4716-9DC3-1E8F9BCBC2EC 1 0.4450 0.057387 0.528 0.020 0.004 0.448 0.000 0.000
#> 6D5D5E3D-0089-4FED-9683-47B3677FA8D7 3 0.1124 0.776754 0.000 0.036 0.956 0.000 0.008 0.000
#> 81DBA6D5-EC2D-43FB-BD7B-4C25063E3787 2 0.4516 0.581571 0.000 0.700 0.112 0.000 0.188 0.000
#> 69553E6A-76C1-444C-B5EB-C98F48B9A5E0 5 0.5479 -0.212840 0.428 0.124 0.000 0.000 0.448 0.000
#> 01EF1DE7-6EFF-4A7E-BAFC-FB5F6A36DF14 4 0.0146 0.746012 0.000 0.000 0.004 0.996 0.000 0.000
#> 8479AE74-FAB1-4DA3-AE2B-DFC4ED0587A6 6 0.3448 0.590725 0.000 0.000 0.004 0.280 0.000 0.716
#> 3B2F39D5-0530-488E-B8D3-49E5E18175E3 5 0.4526 0.203785 0.000 0.032 0.456 0.000 0.512 0.000
#> 31FD1971-84F9-4FE5-948D-1888B2311C40 3 0.0632 0.779636 0.000 0.024 0.976 0.000 0.000 0.000
#> 2B8C521E-811A-4909-8BBC-B1265EFAA9F7 5 0.5101 0.197354 0.068 0.424 0.004 0.000 0.504 0.000
#> C2F905E0-1D20-4582-8656-A2022521ED06 2 0.4443 0.469545 0.000 0.664 0.060 0.000 0.276 0.000
#> 235CDB1A-FFEA-4A68-840B-AE9EE11BB3E7 1 0.0291 0.812914 0.992 0.004 0.000 0.000 0.004 0.000
#> 8C4E1DAC-FEB6-481E-9E0D-469452E9DB15 3 0.1500 0.774323 0.000 0.052 0.936 0.000 0.012 0.000
#> E430B2A4-BB1F-47A6-874F-B43A7EAF5D8E 3 0.2053 0.758152 0.000 0.004 0.916 0.004 0.052 0.024
#> A9B9DFDD-1F9F-4DC8-BE3E-2401D9C0EE98 3 0.4328 0.256245 0.000 0.352 0.620 0.004 0.024 0.000
#> 07AEBA8E-4A69-4C21-AF19-C34C7D404F46 3 0.0632 0.779636 0.000 0.024 0.976 0.000 0.000 0.000
#> D2877C8D-D13F-4EC6-8349-26A9891D6C1A 4 0.7203 0.229297 0.088 0.348 0.004 0.364 0.196 0.000
#> C5C97FE6-A280-4894-AA5F-2E55D264B30B 2 0.5351 0.545472 0.000 0.572 0.280 0.000 0.148 0.000
#> A910C272-76F2-4350-8AB6-BDEA332CEF1A 3 0.0713 0.779029 0.000 0.028 0.972 0.000 0.000 0.000
#> 37BA8258-7A6D-4664-B85F-9AE51BE0BC90 4 0.0653 0.747172 0.012 0.004 0.000 0.980 0.004 0.000
#> 271F4F6C-198D-4F95-AC7F-C7797A3D374B 4 0.6312 0.091986 0.000 0.164 0.032 0.460 0.344 0.000
#> 30541DFA-2E8D-4B34-A085-0DEA5F510DC5 3 0.5876 0.094516 0.000 0.032 0.488 0.000 0.096 0.384
#> F5FA06B3-844F-4FD9-88FD-F53CB5BD3160 6 0.3810 0.596876 0.000 0.008 0.004 0.276 0.004 0.708
#> A4A83B40-3489-4AC2-AF9C-3F22AAA71090 1 0.0000 0.811609 1.000 0.000 0.000 0.000 0.000 0.000
#> 66CB88EC-2DDD-403E-9B48-DBD26C22A35D 5 0.4024 0.573512 0.000 0.180 0.064 0.004 0.752 0.000
#> C02BF2E1-9DBF-48B4-A518-2B0725365E2D 3 0.0909 0.779241 0.000 0.020 0.968 0.000 0.012 0.000
#> 66235651-C093-47D2-B0C1-1D18EB8A8A96 1 0.0363 0.812518 0.988 0.012 0.000 0.000 0.000 0.000
#> 2ED9C7FA-8B84-40E8-A3A2-649DD270B47D 3 0.2048 0.738372 0.000 0.120 0.880 0.000 0.000 0.000
#> E2A32158-8C73-4551-8CA2-1B8C47E97368 2 0.4268 0.580330 0.004 0.684 0.272 0.000 0.040 0.000
#> 2DA5D189-B48C-49D9-A9A9-4C028859915B 3 0.1196 0.776375 0.000 0.040 0.952 0.000 0.008 0.000
#> 6D378FDE-0785-4EE8-A620-0D4A249A847A 2 0.4037 0.620629 0.000 0.736 0.200 0.000 0.064 0.000
#> 7F38E87C-65E2-4D65-89FA-B57639970E21 5 0.6250 0.312614 0.000 0.268 0.012 0.272 0.448 0.000
#> 56B290DF-F522-48E5-85FA-2F5A140D44ED 1 0.1010 0.808705 0.960 0.036 0.004 0.000 0.000 0.000
#> 8228293D-EBBE-41FC-9C60-868504E91754 2 0.6308 0.068037 0.000 0.432 0.028 0.372 0.168 0.000
#> 96D89F88-AF8F-409A-8B14-AD09A75769D7 6 0.3000 0.779883 0.044 0.096 0.000 0.000 0.008 0.852
#> 750BBD83-4D3B-429C-85EF-1FDF6FEE3665 4 0.3528 0.438022 0.000 0.000 0.004 0.700 0.000 0.296
#> 350DCE85-C8A8-458E-BC76-48DF58876D5D 1 0.0146 0.812263 0.996 0.000 0.000 0.000 0.004 0.000
#> C68E5B13-9E64-4C21-B8CC-F85A77B1393B 6 0.0405 0.834533 0.000 0.004 0.008 0.000 0.000 0.988
#> EB130419-01F5-4E4E-ABB6-E2259EA72E97 6 0.0436 0.835142 0.000 0.004 0.004 0.000 0.004 0.988
#> 8D7800F8-0072-43E9-AC51-392908996F7D 2 0.3799 0.541357 0.136 0.804 0.016 0.020 0.024 0.000
#> 13A3AC5C-B348-4DFC-BD9B-DE18D5BAD39C 1 0.0000 0.811609 1.000 0.000 0.000 0.000 0.000 0.000
#> C3AAAF72-3117-47DC-B161-70FEB4816F5D 6 0.1858 0.808512 0.000 0.092 0.000 0.000 0.004 0.904
#> 29C6597E-5B2E-4F50-9506-DD672FE35EFB 2 0.6652 0.210139 0.272 0.472 0.000 0.056 0.200 0.000
#> 5799ACC7-077B-4E76-9AD2-29FA57D0C996 2 0.4518 0.569266 0.000 0.696 0.104 0.000 0.200 0.000
#> BB18A841-2619-4B24-BD53-68D1CC4ED30A 1 0.1976 0.811519 0.916 0.060 0.000 0.008 0.016 0.000
#> 5A539F4D-3D22-46DD-9108-C92E9DF0B671 3 0.2135 0.734688 0.000 0.128 0.872 0.000 0.000 0.000
#> 33AEB2FF-3048-45EF-BF03-DE9502E62A0B 4 0.2692 0.695753 0.000 0.012 0.000 0.840 0.148 0.000
#> AA9914AE-782C-4B20-A78B-8BFDEE60047A 1 0.4328 0.726306 0.724 0.112 0.000 0.000 0.164 0.000
#> 24623812-EE00-4264-AB45-C88B770FF27E 1 0.4975 0.152390 0.504 0.428 0.000 0.000 0.068 0.000
#> 0618E5AC-A040-4AEA-B558-8A0B5B777483 1 0.6946 0.524146 0.524 0.140 0.000 0.176 0.152 0.008
#> 45471A6C-DDE6-4B36-9C6C-583247B04DCF 5 0.4789 0.498863 0.000 0.092 0.268 0.000 0.640 0.000
#> 619039AF-FC7F-4539-A138-AA65CF0D6DAA 1 0.4449 0.706921 0.696 0.088 0.000 0.000 0.216 0.000
#> EAC9E51E-4FA4-47FB-A182-42312A93553A 1 0.1738 0.807369 0.928 0.052 0.004 0.000 0.016 0.000
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#> AF0BC85B-8D5F-4F4F-8F1E-0B3E03B7A8C6 2 0.4297 0.588190 0.000 0.744 0.096 0.008 0.152 0.000
#> EEE6036B-8C41-4A99-BBD4-3E0C8B640FE1 2 0.4884 0.488842 0.000 0.672 0.052 0.032 0.244 0.000
#> 579F0D8B-766D-4478-86B8-47B24A97052C 3 0.3936 0.638150 0.000 0.004 0.760 0.000 0.060 0.176
#> 891C47EF-2EB9-4D87-A070-BA561660E4CA 2 0.4334 0.367899 0.000 0.568 0.408 0.000 0.024 0.000
#> A104D1E8-3B92-4A3C-9C16-A0DEB4E96302 3 0.3684 0.382325 0.000 0.372 0.628 0.000 0.000 0.000
#> 110F0095-A614-4C2F-A9A0-75BD6753FF9B 6 0.0972 0.833659 0.000 0.028 0.000 0.000 0.008 0.964
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